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"Additionally, the FDA has found hand sanitizers that contain food flavors, such as chocolate or raspberry."Reports received by the FDA include a person who bought what they believed was drinking water but was actually hand sanitizer, and a hand sanitizer using children's cartoons in marketing and sold in a pouch that resembled a snack, CNN reported."I am increasingly concerned about hand sanitizer being packaged to appear to be consumable products, such as baby food or beverages. These products could confuse consumers where to buy cipro pills into accidentally ingesting a potentially deadly product. It's dangerous to add scents with food flavors to hand sanitizers which children could think smells like food, eat and get alcohol poisoning," FDA Commissioner Dr. Stephen Hahn said in the release.Copyright © 2019 HealthDay.

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RAHF, rapid access heart failure. TLOC, transient loss of consciousness is cipro good for stomach . TTE, transthoracic echocardiogram." data-icon-position data-hide-link-title="0">Figure 1 Potential interactions between primary and secondary care. AECG, ambulatory ECG. CP, chest is cipro good for stomach pain.

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TLOC, transient loss of consciousness. TTE, transthoracic echocardiogram.The association of low-income levels with adverse outcomes in patients with heart failure (HF) and the effects of universal health coverage on reducing those differences has not been well documented. In this issue of Heart, Hung and colleagues3 used nationwide data is cipro good for stomach in Taiwan on 633 098 patients hospitalised for HF spanning the years from 1996 (just after implementation of a nationwide health insurance programme) to 2013. Overall, low-income patients, compared with high-income patients, had higher in-hospital mortality rates (5.07% vs 2.51%), higher HF readmission rates, and lower utilisation of guideline-directed medical therapy. However, the disparities in outcomes between low-income versus high-income patients appeared to dissipate over time (figure 2).Temporal trends of heart failure (HF) readmission (A) and all-cause mortality (B) by three income groups over time (1996–2013).

A marked decrease in the incidence of HF readmission and all-cause mortality was observed over time for the low-income group is cipro good for stomach (expressed as HR, reference. High-income group). A linear trend analysis was used for adjusted HR for low-income versus high-income HF group (as reference) across observation time (per year as ordinal category)." data-icon-position data-hide-link-title="0">Figure 2 Temporal trends of heart failure (HF) readmission (A) and all-cause mortality (B) by three income groups over time (1996–2013). A marked decrease in the incidence is cipro good for stomach of HF readmission and all-cause mortality was observed over time for the low-income group (expressed as HR, reference. High-income group).

A linear trend analysis was used for adjusted HR for low-income versus high-income HF group (as reference) across observation time (per year as ordinal category).In an editorial, Zimerman and Rohde4 suggest three possible explanations for the worse outcomes in low-income patients with HF. (1) poverty may be a marker of poor prognosis related to factors such as geographic barriers to access to is cipro good for stomach healthcare, education levels, racial/ethnic biases, unemployment and stress levels. (2) poverty might cause adverse outcomes indirectly due to issues such as lack of expensive medications, inadequate nutrition and exercise. And (3) poverty might lead directly to poor health outcomes. The reasons for the improvement over time in is cipro good for stomach income inequities in Taiwan are more difficult to explain.

As the authors conclude. €˜Healthcare professionals should understand how poverty is an indicator and a cause of poor healthcare and strive to explore alternatives to patients.’Another interesting article in this issue by Almorad and colleagues5 prospectively evaluated the accuracy of serum D-dimer levels for exclusion of left atrial (LA) thrombus in 142 patients with atrial fibrillation (AF) undergoing transoesophageal echocardiography (TOE) prior to planned cardioversions.

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TLOC, transient loss of consciousness. TTE, transthoracic echocardiogram." data-icon-position data-hide-link-title="0">Figure 1 Potential interactions between primary and secondary care. AECG, ambulatory where to buy cipro pills ECG. CP, chest pain.

CTCA, CT coronary angiography. EHR, electronic where to buy cipro pills health records. EOL, end of life. EP, electrophysiology.

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TTE, transthoracic echocardiogram.The association of low-income levels with adverse outcomes in patients with heart where to buy cipro pills failure (HF) and the effects of universal health coverage on reducing those differences has not been well documented. In this issue of Heart, Hung and colleagues3 used nationwide data in Taiwan on 633 098 patients hospitalised for HF spanning the years from 1996 (just after implementation of a nationwide health insurance programme) to 2013. Overall, low-income patients, compared with high-income patients, had higher in-hospital mortality rates (5.07% vs 2.51%), higher HF readmission rates, and lower utilisation of guideline-directed medical therapy. However, the disparities in outcomes between low-income versus high-income patients appeared to dissipate over time (figure 2).Temporal trends of heart failure (HF) readmission (A) and all-cause mortality (B) where to buy cipro pills by three income groups over time (1996–2013).

A marked decrease in the incidence of HF readmission and all-cause mortality was observed over time for the low-income group (expressed as HR, reference. High-income group).

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NYS announced the 2021 Income and Resource levels in GIS 20 MA/13 - - 2021 Medicaid Income Levels Here is the 2021 HRA Income and Resources Level Chart Non-MAGI - 2021 Disabled, 65+ or Blind ("DAB" hacienda del cipres jalisco or SSI-Related) and have Medicare MAGI (2021)* (<. 65, Does not have Medicare)(OR has Medicare and has dependent child <. 18 or <. 19 in school) 138% FPL*** Children hacienda del cipres jalisco <. 5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN* For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care.

See info here 1 2 1 2 3 1 2 Income $884 (up from $875 in 2020) $1300 (up from $1,284 in 2020) $1,482 $2,004 $2,526 $2,146 $2,903 Resources $15,900 (up from $15,750 in 2020) $23,400 (up from $23,100 in 2020) NO LIMIT** NO LIMIT 2020 levels are in GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates and attachments here * MAGI and ESSENTIAL plan levels are based on Federal Poverty Levels, which are not released until later in 2021. 2020 levels are hacienda del cipres jalisco used until then. NEED TO KNOW PAST MEDICAID INCOME AND RESOURCE LEVELS?. WHAT IS THE HOUSEHOLD SIZE?. See rules here hacienda del cipres jalisco.

HOW TO READ THE HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers. People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they hacienda del cipres jalisco were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school.

42 hacienda del cipres jalisco C.F.R. § 435.4. Certain populations have an even higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL hacienda del cipres jalisco for children age 1 - 19. CAUTION.

What is counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still hacienda del cipres jalisco be determined by the same rules as before, explained in this outline and these charts on income disregards. However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes. GOOD hacienda del cipres jalisco.

Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income. BAD. There is no more "spousal" or parental refusal for this population (but there still hacienda del cipres jalisco is for the Disabled/Aged/Blind.) and some other rules. For all of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules HOW TO DETERMINE SIZE OF HOUSEHOLD TO IDENTIFY WHICH INCOME LIMIT APPLIES The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person.

HOWEVER, Medicaid rules about hacienda del cipres jalisco how to calculate the household size are not intuitive or even logical. There are different rules depending on the "category" of the person seeking Medicaid. Here are the 2 basic categories and the rules for calculating their household size. People who are Disabled, Aged hacienda del cipres jalisco 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article.

Everyone else -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household size will be determined using federal income tax rules, hacienda del cipres jalisco which are very complicated. New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine the Household Size. See slides hacienda del cipres jalisco 28-49.

Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category. Under this rule, hacienda del cipres jalisco a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p. 573, NYS GIS 2000 MA-007 CAUTION.

Different hacienda del cipres jalisco people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI. The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than hacienda del cipres jalisco for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household.

It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but hacienda del cipres jalisco had no asset limits. It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health hacienda del cipres jalisco Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL.

This has now been folded into the new MAGI adult group whose limit is 138% FPL. For applicants between 138%-150% FPL, they will be eligible for a new program where Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange. PAST hacienda del cipres jalisco INCOME &. RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC HRA charts for 2001 through 2019, in chronological order. These include Medicaid levels for MAGI and non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS.

This article was authored by the Evelyn Frank Legal Resources Program of New York Legal Assistance Group.A huge hacienda del cipres jalisco barrier to people returning to the community from nursing homes is the high cost of housing. One way New York State is trying to address that barrier is with the Special Housing Disregard that allows certain members of Managed Long Term Care or FIDA plans to keep more of their income to pay for rent or other shelter costs, rather than having to "spend down" their "excess income" or spend-down on the cost of Medicaid home care. The special income standard for housing expenses helps pay for housing expenses to help certain nursing home or adult home residents to safely transition back to the community with MLTC. Originally it was just for former nursing home residents but in 2014 it was expanded to hacienda del cipres jalisco include people who lived in adult homes. GIS 14/MA-017 Since you are allowed to keep more of your income, you may no longer need to use a pooled trust.

KNOW YOUR RIGHTS - FACT SHEET on THREE ways to Reduce Spend-down, including this Special Income Standard. September 2018 NEWS -- Those already enrolled in MLTC plans before they hacienda del cipres jalisco are admitted to a nursing home or adult home may obtain this budgeting upon discharge, if they meet the other criteria below. "How nursing home administrators, adult home operators and MLTC plans should identify individuals who are eligible for the special income standard" and explains their duties to identify eligible individuals, and the MLTC plan must notify the local DSS that the individual may qualify. "Nursing home administrators, nursing home discharge planning staff, adult home operators and MLTC health plans are encouraged to identify individuals who may qualify for the special income standard, if they can be safely discharged back to the community from a nursing home and enroll in, or remain enrolled in, an MLTC plan. Once an individual has been accepted into an MLTC plan, the MLTC plan must notify the individual's local district of social services that the transition has occurred and that hacienda del cipres jalisco the individual may qualify for the special income standard.

The special income standard will be effective upon enrollment into the MLTC plan, or, for nursing home residents already enrolled in an MLTC plan, the month of discharge to the community. Questions regarding the special income standard may be directed to DOH at 518-474-8887. Who is eligible hacienda del cipres jalisco for this special income standard?. must be age 18+, must have been in a nursing home or an adult home for 30 days or more, must have had Medicaid pay toward the nursing home care, and must enroll in or REMAIN ENROLLED IN a Managed Long Term Care (MLTC) plan or FIDA plan upon leaving the nursing home or adult home must have a housing expense if married, spouse may not receive a "spousal impoverishment" allowance once the individual is enrolled in MLTC. How much is the allowance?.

The rates vary by hacienda del cipres jalisco region and change yearly. Region Counties Deduction (2021) Central Broome, Cayuga, Chenango, Cortland, Herkimer, Jefferson, Lewis, Madison, Oneida, Onondaga, Oswego, St. Lawrence, Tioga, Tompkins $450 Long Island Nassau, Suffolk $1,393 NYC Bronx, Kings, Manhattan, Queens, Richmond $1,535 (up from 1,451 in 2020) Northeastern Albany, Clinton, Columbia, Delaware, Essex, Franklin, Fulton, Greene, Hamilton, Montgomery, Otsego, Rensselaer, Saratoga, Schenectady, Schoharie, Warren, Washington $524 North Metropolitan Dutchess, Orange, Putnam, Rockland, Sullivan, Ulster, Westchester $1,075 Rochester Chemung, Livingston, Monroe, Ontario, Schuyler, Seneca, Steuben, Wayne, Yates $469 Western Allegany, Cattaraugus, Chautauqua, Erie, Genesee, Niagara, Orleans, Wyoming $413 Past rates published as follows, available on DOH website 2021 rates published in Attachment I to GIS 20 MA/13 -- 2021 Medicaid Levels and Other Updates 2020 rates published in Attachment I to GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates 2019 rates published in Attachment 1 to GIS 18/MA015 - 2019 Medicaid Levels and Other Updates 2018 rates published in GIS 17 MA/020 - 2018 Medicaid Levels and Other Updates. The guidance on how hacienda del cipres jalisco the standardized amount of the disregard is calculated is found in NYS DOH 12- ADM-05. 2017 rate -- GIS 16 MA/018 - 2016 Medicaid Only Income and Resource Levels and Spousal Impoverishment Standards Attachment 12016 rate -- GIS 15-MA/0212015 rate -- Were not posted by DOH but were updated in WMS.

2015 Central $382 Long Island $1,147 NYC $1,001 Northeastern $440 N. Metropolitan $791 Rochester $388 Western $336 2014 rate -- GIS-14-MA/017 HOW DOES hacienda del cipres jalisco IT WORK?. Here is a sample budget for a single person in NYC with Social Security income of $2,386/month paying a Medigap premium of $261/mo. Gross monthly income $2,575.50 DEDUCT Health insurance premiums (Medicare Part B) - 135.50 (Medigap) - 261.00 DEDUCT Unearned income disregard - 20 DEDUCT Shelter deduction (NYC—2019) - 1,300 DEDUCT Income limit for single (2019) - 859 Excess income or Spend-down $0 WITH NO SPEND-DOWN, May NOT NEED POOLED TRUST!. HOW TO OBTAIN THE HOUSING DISREGARD hacienda del cipres jalisco.

When you are ready to leave the nursing home or adult home, or soon after you leave, you or your MLTC plan must request that your local Medicaid program change your Medicaid budget to give you the Housing Disregard. See September 2018 NYS DOH Medicaid Update that requires MLTC plan to help you ask for it. The procedures in NYC are explained in this Troubleshooting guide. In NYC, submit the application with the MAP-751W (check off "Budgeting Changes" and "Special Housing Standard"). (The MAP-751W is also posted in languages other than English in this link.

(Updated 3-15-2021.)) NYC Medicaid program prefers that your MLTC plan file the request, using Form MAP-3057E - Special income housing Expenses NH-MLTC.pdf and Form MAP-3047B - MLTC/NHED Cover Sheet Form MAP-259f (revised 7-31-18)(page 7 of PDF)(DIscharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard. GOVERNMENT DIRECTIVES (beginning with oldest). NYS DOH 12- ADM-05 - Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility who Enroll into the Managed Long Term Care (MLTC) Program Attachment II - OHIP-0057 - Notice of Intent to Change Medicaid Coverage, (Recipient Discharged from a Skilled Nursing Facility and Enrolled in a Managed Long Term Care Plan) Attachment III - Attachment III – OHIP-0058 - Notice of Intent to Change Medicaid Coverage, (Recipient Disenrolled from a Managed Long Term Care Plan, No Special Income Standard) MLTC Policy 13.02. MLTC Housing Disregard NYC HRA Medicaid Alert Special Income Standard for housing expenses NH-MLTC 2-9-2013.pdf 2018-07-28 HRA MICSA ALERT Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility and who Enroll into the MLTC Program - update on previous policy. References Form MAP-259f (revised 7-31-18)(page 7 of PDF)(Discharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard.

GIS 18 MA/012 - Special Income Standard for Housing Expenses for Certain Managed Long-Term Care Enrollees Who are Discharged from a Nursing Home issued Sept.

NYS announced the 2021 Income and Resource levels in GIS 20 MA/13 - - where to buy cipro pills 2021 Medicaid Income Levels Here is the 2021 HRA Income and Resources Level Chart Non-MAGI - 2021 Disabled, 65+ or Blind ("DAB" or SSI-Related) and have Medicare http://es.keimfarben.de/kamagra-jelly-price-in-canada/ MAGI (2021)* (<. 65, Does not have Medicare)(OR has Medicare and has dependent child <. 18 or <. 19 in school) 138% where to buy cipro pills FPL*** Children <.

5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN* For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care. See info here 1 2 1 2 3 1 2 Income $884 (up from $875 in 2020) $1300 (up from $1,284 in 2020) $1,482 $2,004 $2,526 $2,146 $2,903 Resources $15,900 (up from $15,750 in 2020) $23,400 (up from $23,100 in 2020) NO LIMIT** NO LIMIT 2020 levels are in GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates and attachments here * MAGI and ESSENTIAL plan levels are based on Federal Poverty Levels, which are not released until later in 2021. 2020 levels are used until then where to buy cipro pills. NEED TO KNOW PAST MEDICAID INCOME AND RESOURCE LEVELS?.

WHAT IS THE HOUSEHOLD SIZE?. See rules here where to buy cipro pills. HOW TO READ THE HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers.

People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit where to buy cipro pills. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 C.F.R where to buy cipro pills.

§ 435.4. Certain populations have an even higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL for children where to buy cipro pills age 1 - 19. CAUTION.

What is counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still where to buy cipro pills be determined by the same rules as before, explained in this outline and these charts on income disregards. However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes.

GOOD where to buy cipro pills. Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income. BAD. There is no more "spousal" or parental refusal for this population (but there still is for the where to buy cipro pills Disabled/Aged/Blind.) and some other rules.

For all of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules HOW TO DETERMINE SIZE OF HOUSEHOLD TO IDENTIFY WHICH INCOME LIMIT APPLIES The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive where to buy cipro pills or even logical. There are different rules depending on the "category" of the person seeking Medicaid.

Here are the 2 basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart where to buy cipro pills for their household size. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article. Everyone else -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population.

Their household size will be determined using federal income tax rules, which where to buy cipro pills are very complicated. New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how to determine the Household Size. See slides 28-49 where to buy cipro pills.

Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category. Under this rule, a child may be excluded from the household if that child's income causes other family where to buy cipro pills members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p.

573, NYS GIS 2000 MA-007 CAUTION. Different people in the where to buy cipro pills same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI. The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid.

Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age where to buy cipro pills 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household. It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but where to buy cipro pills had no asset limits.

It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an where to buy cipro pills expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL. This has now been folded into the new MAGI adult group whose limit is 138% FPL.

For applicants between 138%-150% FPL, they will be eligible for a new program where Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange. PAST INCOME where to buy cipro pills &. RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC HRA charts for 2001 through 2019, in chronological order. These include Medicaid levels for MAGI and non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS.

This article was authored by the Evelyn Frank Legal Resources Program where to buy cipro pills of New York Legal Assistance Group.A huge barrier to people returning to the community from nursing homes is the high cost of housing. One way New York State is trying to address that barrier is with the Special Housing Disregard that allows certain members of Managed Long Term Care or FIDA plans to keep more of their income to pay for rent or other shelter costs, rather than having to "spend down" their "excess income" or spend-down on the cost of Medicaid home care. The special income standard for housing expenses helps pay for housing expenses to help certain nursing home or adult home residents to safely transition back to the community with MLTC. Originally it was just for former nursing home residents but in 2014 where to buy cipro pills it was expanded to include people who lived in adult homes.

GIS 14/MA-017 Since you are allowed to keep more of your income, you may no longer need to use a pooled trust. KNOW YOUR RIGHTS - FACT SHEET on THREE ways to Reduce Spend-down, including this Special Income Standard. September 2018 NEWS -- Those already enrolled in MLTC plans before they are where to buy cipro pills admitted to a nursing home or adult home may obtain this budgeting upon discharge, if they meet the other criteria below. "How nursing home administrators, adult home operators and MLTC plans should identify individuals who are eligible for the special income standard" and explains their duties to identify eligible individuals, and the MLTC plan must notify the local DSS that the individual may qualify.

"Nursing home administrators, nursing home discharge planning staff, adult home operators and MLTC health plans are encouraged to identify individuals who may qualify for the special income standard, if they can be safely discharged back to the community from a nursing home and enroll in, or remain enrolled in, an MLTC plan. Once an individual has been accepted into an MLTC plan, the MLTC plan must notify the individual's local district where to buy cipro pills of social services that the transition has occurred and that the individual may qualify for the special income standard. The special income standard will be effective upon enrollment into the MLTC plan, or, for nursing home residents already enrolled in an MLTC plan, the month of discharge to the community. Questions regarding the special income standard may be directed to DOH at 518-474-8887.

Who is where to buy cipro pills eligible for this special income standard?. must be age 18+, must have been in a nursing home or an adult home for 30 days or more, must have had Medicaid pay toward the nursing home care, and must enroll in or REMAIN ENROLLED IN a Managed Long Term Care (MLTC) plan or FIDA plan upon leaving the nursing home or adult home must have a housing expense if married, spouse may not receive a "spousal impoverishment" allowance once the individual is enrolled in MLTC. How much is the allowance?. The rates vary where to buy cipro pills by region and change yearly.

Region Counties Deduction (2021) Central Broome, Cayuga, Chenango, Cortland, Herkimer, Jefferson, Lewis, Madison, Oneida, Onondaga, Oswego, St. Lawrence, Tioga, Tompkins $450 Long Island Nassau, Suffolk $1,393 NYC Bronx, Kings, Manhattan, Queens, Richmond $1,535 (up from 1,451 in 2020) Northeastern Albany, Clinton, Columbia, Delaware, Essex, Franklin, Fulton, Greene, Hamilton, Montgomery, Otsego, Rensselaer, Saratoga, Schenectady, Schoharie, Warren, Washington $524 North Metropolitan Dutchess, Orange, Putnam, Rockland, Sullivan, Ulster, Westchester $1,075 Rochester Chemung, Livingston, Monroe, Ontario, Schuyler, Seneca, Steuben, Wayne, Yates $469 Western Allegany, Cattaraugus, Chautauqua, Erie, Genesee, Niagara, Orleans, Wyoming $413 Past rates published as follows, available on DOH website 2021 rates published in Attachment I to GIS 20 MA/13 -- 2021 Medicaid Levels and Other Updates 2020 rates published in Attachment I to GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates 2019 rates published in Attachment 1 to GIS 18/MA015 - 2019 Medicaid Levels and Other Updates 2018 rates published in GIS 17 MA/020 - 2018 Medicaid Levels and Other Updates. The guidance on how the standardized amount of the disregard is calculated is found in NYS DOH 12- ADM-05. 2017 rate -- GIS 16 MA/018 - 2016 Medicaid Only Income and Resource Levels and Spousal Impoverishment Standards Attachment 12016 rate -- GIS 15-MA/0212015 rate -- Were not posted by DOH but were updated in WMS.

2015 Central $382 Long Island $1,147 NYC $1,001 Northeastern $440 N. Metropolitan $791 Rochester $388 Western $336 2014 rate -- GIS-14-MA/017 HOW DOES IT WORK?. Here is a sample budget for a single person in NYC with Social Security income of $2,386/month paying a Medigap premium of $261/mo. Gross monthly income $2,575.50 DEDUCT Health insurance premiums (Medicare Part B) - 135.50 (Medigap) - 261.00 DEDUCT Unearned income disregard - 20 DEDUCT Shelter deduction (NYC—2019) - 1,300 DEDUCT Income limit for single (2019) - 859 Excess income or Spend-down $0 WITH NO SPEND-DOWN, May NOT NEED POOLED TRUST!.

HOW TO OBTAIN THE HOUSING DISREGARD. When you are ready to leave the nursing home or adult home, or soon after you leave, you or your MLTC plan must request that your local Medicaid program change your Medicaid budget to give you the Housing Disregard. See September 2018 NYS DOH Medicaid Update that requires MLTC plan to help you ask for it. The procedures in NYC are explained in this Troubleshooting guide.

In NYC, submit the application with the MAP-751W (check off "Budgeting Changes" and "Special Housing Standard"). (The MAP-751W is also posted in languages other than English in this link. (Updated 3-15-2021.)) NYC Medicaid program prefers that your MLTC plan file the request, using Form MAP-3057E - Special income housing Expenses NH-MLTC.pdf and Form MAP-3047B - MLTC/NHED Cover Sheet Form MAP-259f (revised 7-31-18)(page 7 of PDF)(DIscharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard. GOVERNMENT DIRECTIVES (beginning with oldest).

NYS DOH 12- ADM-05 - Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility who Enroll into the Managed Long Term Care (MLTC) Program Attachment II - OHIP-0057 - Notice of Intent to Change Medicaid Coverage, (Recipient Discharged from a Skilled Nursing Facility and Enrolled in a Managed Long Term Care Plan) Attachment III - Attachment III – OHIP-0058 - Notice of Intent to Change Medicaid Coverage, (Recipient Disenrolled from a Managed Long Term Care Plan, No Special Income Standard) MLTC Policy 13.02. MLTC Housing Disregard NYC HRA Medicaid Alert Special Income Standard for housing expenses NH-MLTC 2-9-2013.pdf 2018-07-28 HRA MICSA ALERT Special Income Standard for Housing Expenses for Individuals Discharged from a Nursing Facility and who Enroll into the MLTC Program - update on previous policy. References Form MAP-259f (revised 7-31-18)(page 7 of PDF)(Discharge Notice) - NH must file with HRA upon discharge, certifying resident was informed of availability of this disregard. GIS 18 MA/012 - Special Income Standard for Housing Expenses for Certain Managed Long-Term Care Enrollees Who are Discharged from a Nursing Home issued Sept.

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I would advise my colleagues, biomedical where to buy cipro pills scientists, to not limit our career skills to the four walls of the laboratory alone. Let's think beyond the box and use our career skills to create social action projects that benefit our communities Akin &. Olu have both also recently published books.

Akin's book, where to buy cipro pills Beyond The WorkPlace, guides scientists and others to use their career skills to inspire and create change in their communities. In Olu's book Take Hold Of Your Life, Olu relates her experience as a councillor to give advice for empowering one's self. In the spirit of Olu &.

Akin's work, we would also like to promote that World Blood Donor Day is coming up on 14th where to buy cipro pills June. Visit www.blood.co.uk to find out how to get involved. How to listen To listen to any of our podcasts, series 1 and 2, as well as subscribe to future episodes, visit.

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10:44 – Part 2 where to buy cipro pills. Overseas Aid in Tanzania &. Sierra Leone - including work alongside Swiss Tropical Institute as Laboratory Technologist, setting-up charity Child Aid Tanzania, discussion of Malaria &.

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Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers. People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page 1 is Spousal Impoverishment levels for Managed Long how to buy cheap cipro online Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school. 42 C.F.R.

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BAD. There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules. For all how to buy cheap cipro online of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a single person. HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical.

There are different rules depending on the "category" of the person seeking Medicaid. Here are the 2 how to buy cheap cipro online basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article. Everyone else how to buy cheap cipro online -- MAGI - All children and adults under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population.

Their household size will be determined using federal income tax rules, which are very complicated. New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the new MAGI budgeting, including how how to buy cheap cipro online to determine the Household Size. See slides 28-49. Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient.

Spouses or legally responsible for one another, and parents are legally how to buy cheap cipro online responsible for their children under age 21 (though if the child is disabled, use the rule in the 1st "DAB" category. Under this rule, a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p. 573, NYS GIS how to buy cheap cipro online 2000 MA-007 CAUTION. Different people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits.

If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI. The following programs were available how to buy cheap cipro online prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household. It was sometimes known as "S/CC" category for Singles and Childless Couples.

This category had lower income limits than DAB/ADC-related, but had no asset limits. It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL. Family Health Plus - this was an expansion of Medicaid to families with income up to 150% FPL and for childless adults up to 100% FPL. This has now been folded into the new MAGI adult group whose limit is 138% FPL.

For applicants between 138%-150% FPL, they will be eligible for a new program where Medicaid will subsidize their purchase of Qualified Health Plans on the Exchange. PAST INCOME &. RESOURCE LEVELS -- Past Medicaid income and resource levels in NYS are shown on these oldNYC HRA charts for 2001 through 2019, in chronological order. These include Medicaid levels for MAGI and non-MAGI populations, Child Health Plus, MBI-WPD, Medicare Savings Programs and other public health programs in NYS.

New York's http://www.bell-int.co.uk/what-is-the-cost-of-levitra-at-walmart/ Exchange Portal where to buy cipro pills. A Gateway to Coverage for Immigrants The report includes a new tool -- Immigrant Eligibility Crosswalk -- Eligibility by Immigration Status-- designed to help advocates and policymakers sort through the tangle of immigrant eligibility categories to determine who is eligible for which health care programs in 2014 and beyond. The report was made possible with support from the United Hospital Fund and benefited from the advice and input from many of our national partners in the effort to ensure maximum participation of immigrants in the nation's healthcare system as well as experts from the New York State Department of Health and the Centers for Medicare and Medicaid Services. SEE more about "PRUCOL" immigrant eligibility for where to buy cipro pills Medicaid in this article. "Undocumented" immigrants are, with some exceptions for pregnant women and Child Health Plus, only eligible for "emergency Medicaid."NYS announced the 2020 Income and Resource levels in GIS 19 MA/12 – 2020 Medicaid Levels and Other Updates ) and levels based on the Federal Poverty Level are in GIS 20 MA/02 – 2020 Federal Poverty Levels Here is the 2020 HRA Income and Resources Level Chart Non-MAGI - 2020 Disabled, 65+ or Blind ("DAB" or SSI-Related) and have Medicare MAGI (2020) (<.

65, Does not have Medicare)(OR has Medicare and has dependent child <. 18 or where to buy cipro pills <. 19 in school) 138% FPL*** Children <. 5 and pregnant women have HIGHER LIMITS than shown ESSENTIAL PLAN For MAGI-eligible people over MAGI income limit up to 200% FPL No long term care. See info here 1 2 1 2 3 1 2 Income $875 (up from $859 in 201) where to buy cipro pills $1284 (up from $1,267 in 2019) $1,468 $1,983 $2,498 $2,127 $2,873 Resources $15,750 (up from $15,450 in 2019) $23,100 (up from $22,800 in 2019) NO LIMIT** NO LIMIT SOURCE for 2019 figures is GIS 18 MA/015 - 2019 Medicaid Levels and Other Updates (PDF).

All of the attachments with the various levels are posted here. NEED TO KNOW PAST MEDICAID INCOME AND RESOURCE LEVELS?. Which household size where to buy cipro pills applies?. The rules are complicated. See rules here.

On the HRA Medicaid Levels chart - Boxes 1 and 2 are NON-MAGI Income and Resource levels -- where to buy cipro pills Age 65+, Blind or Disabled and other adults who need to use "spend-down" because they are over the MAGI income levels. Box 10 on page 3 are the MAGI income levels -- The Affordable Care Act changed the rules for Medicaid income eligibility for many BUT NOT ALL New Yorkers. People in the "MAGI" category - those NOT on Medicare -- have expanded eligibility up to 138% of the Federal Poverty Line, so may now qualify for Medicaid even if they were not eligible before, or may now be eligible for Medicaid without a "spend-down." They have NO resource limit. Box 3 on page where to buy cipro pills 1 is Spousal Impoverishment levels for Managed Long Term Care &. Nursing Homes and Box 8 has the Transfer Penalty rates for nursing home eligibility Box 4 has Medicaid Buy-In for Working People with Disabilities Under Age 65 (still 2017 levels til April 2018) Box 6 are Medicare Savings Program levels (will be updated in April 2018) MAGI INCOME LEVEL of 138% FPL applies to most adults who are not disabled and who do not have Medicare, AND can also apply to adults with Medicare if they have a dependent child/relative under age 18 or under 19 if in school.

42 C.F.R. § 435.4 where to buy cipro pills. Certain populations have an even higher income limit - 224% FPL for pregnant women and babies <. Age 1, 154% FPL for children age 1 - 19. CAUTION where to buy cipro pills.

What is counted as income may not be what you think. For the NON-MAGI Disabled/Aged 65+/Blind, income will still be determined by the same rules as before, explained in this outline and these charts on income disregards. However, for the MAGI population - which is virtually everyone under age 65 who is not on Medicare - their where to buy cipro pills income will now be determined under new rules, based on federal income tax concepts - called "Modifed Adjusted Gross Income" (MAGI). There are good changes and bad changes. GOOD.

Veteran's benefits, Workers compensation, and gifts from family or others no longer count as income. BAD where to buy cipro pills. There is no more "spousal" or parental refusal for this population (but there still is for the Disabled/Aged/Blind.) and some other rules. For all of the rules see. ALSO SEE 2018 Manual on Lump Sums and Impact on Public Benefits - with resource rules The income limits increase with the "household size." In other words, the income limit for a family of 5 may be higher than the income limit for a where to buy cipro pills single person.

HOWEVER, Medicaid rules about how to calculate the household size are not intuitive or even logical. There are different rules depending on the "category" of the person seeking Medicaid. Here are the 2 where to buy cipro pills basic categories and the rules for calculating their household size. People who are Disabled, Aged 65+ or Blind - "DAB" or "SSI-Related" Category -- NON-MAGI - See this chart for their household size. These same rules apply to the Medicare Savings Program, with some exceptions explained in this article.

Everyone else -- MAGI - All children and adults where to buy cipro pills under age 65, including people with disabilities who are not yet on Medicare -- this is the new "MAGI" population. Their household size will be determined using federal income tax rules, which are very complicated. New rule is explained in State's directive 13 ADM-03 - Medicaid Eligibility Changes under the Affordable Care Act (ACA) of 2010 (PDF) pp. 8-10 of the PDF, This PowerPoint by NYLAG on MAGI Budgeting attempts to explain the where to buy cipro pills new MAGI budgeting, including how to determine the Household Size. See slides 28-49.

Also seeLegal Aid Society and Empire Justice Center materials OLD RULE used until end of 2013 -- Count the person(s) applying for Medicaid who live together, plus any of their legally responsible relatives who do not receive SNA, ADC, or SSI and reside with an applicant/recipient. Spouses or legally responsible for one another, and parents are legally responsible for their children under age 21 (though if the child is disabled, use the rule where to buy cipro pills in the 1st "DAB" category. Under this rule, a child may be excluded from the household if that child's income causes other family members to lose Medicaid eligibility. See 18 NYCRR 360-4.2, MRG p. 573, NYS GIS 2000 MA-007 CAUTION.

Different people in the same household may be in different "categories" and hence have different household sizes AND Medicaid income and resource limits. If a man is age 67 and has Medicare and his wife is age 62 and not disabled or blind, the husband's household size for Medicaid is determined under Category 1/ Non-MAGI above and his wife's is under Category 2/MAGI. The following programs were available prior to 2014, but are now discontinued because they are folded into MAGI Medicaid. Prenatal Care Assistance Program (PCAP) was Medicaid for pregnant women and children under age 19, with higher income limits for pregnant woman and infants under one year (200% FPL for pregnant women receiving perinatal coverage only not full Medicaid) than for children ages 1-18 (133% FPL). Medicaid for adults between ages 21-65 who are not disabled and without children under 21 in the household.

It was sometimes known as "S/CC" category for Singles and Childless Couples. This category had lower income limits than DAB/ADC-related, but had no asset limits. It did not allow "spend down" of excess income. This category has now been subsumed under the new MAGI adult group whose limit is now raised to 138% FPL.

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How to cite antibiotic shelf life cipro this article:Singh OP. Psychiatry research in India. Closing the research antibiotic shelf life cipro gap.

Indian J Psychiatry 2020;62:615-6Research is an important aspect of the growth and development of medical science. Research in India in general and medical antibiotic shelf life cipro research in particular is always being criticized for lack of innovation and originality required for the delivery of health services suitable to Indian conditions. Even the Indian Council of Medical Research (ICMR) which is a centrally funded frontier organization for conducting medical research couldn't avert criticism.

It has been criticized heavily for not producing quality research papers which are pioneering, ground breaking, or pragmatic solutions for health issues plaguing India. In the words of a leading daily, The ICMR could not even list one practical application of its hundreds of research papers published in various national and international research journals which helped cure any disease, or diagnose it with better accuracy or in less time, or even one new basic, applied or clinical research or innovation that opened a new frontier of antibiotic shelf life cipro scientific knowledge.[1]This clearly indicates that the health research output of ICMR is not up to the mark and is not commensurate with the magnitude of the disease burden in India. According to the 12th Plan Report, the country contributes to a fifth of the world's share of diseases.

The research conducted antibiotic shelf life cipro elsewhere may not be generalized to the Indian population owing to differences in biology, health-care systems, health practices, culture, and socioeconomic standards. Questions which are pertinent and specific to the Indian context may not be answered and will remain understudied. One of the vital elements in improving this situation is the need for relevant research base that would equip policymakers to take informed health policy decisions.The Parliamentary Standing Committee on Health and Family Welfare in the 100th report on Demand for Grants (2017–2018) of the Department of Health Research observed that “the biomedical research output needs to be augmented substantially to cater to the health challenges faced by the country.”[1]Among the various reasons, lack of fund, infrastructure, and resources is the prime cause which is glaringly evident from the inadequate budget allocation for biomedical research.

While ICMR has a budget of 232 million dollars per year on health research, it is zilch in comparison to the annual budget expenditure of the National Institute of Health, USA, on biomedical research which antibiotic shelf life cipro is 32 billion dollars.The lacuna of quality research is not merely due to lack of funds. There are other important issues which need to be considered and sorted out to end the status quo. Some of the factors which need our immediate attention are:Lack of research training and teachingImproper allocation of research facilitiesLack of information about research work happening globallyLack of promotion, motivation, commitment, antibiotic shelf life cipro and passion in the field of researchClinicians being overburdened with patientsLack of collaboration between medical colleges and established research institutesLack of continuity of research in successive batches of postgraduate (PG) students, leading to wastage of previous research and resourcesDifficulty in the application of basic biomedical research into pragmatic intervention solutions due to lack of interdisciplinary technological support/collaboration between basic scientists, clinicians, and technological experts.Majority of the biomedical research in India are conducted in medical institutions.

The majority of these are done as thesis submission for fulfillment of the requirement of PG degree. From 2015 onward, publication of papers had been made an obligatory requirement antibiotic shelf life cipro for promotion of faculty to higher posts. Although it offered a unique opportunity for training of residents and stimulus for research, it failed to translate into production of quality research work as thesis was limited by time and it had to be done with other clinical and academic duties.While the top four medical colleges, namely AIIMS, New Delhi.

PGIMER, Chandigarh. CMC, Vellore antibiotic shelf life cipro. And SGIMS, Lucknow are among the top ten medical institutions in terms of publication in peer-reviewed journals, around 332 (57.3%) medical colleges have no research paper published in a decade between 2004 and 2014.[2]The research in psychiatry is realistically dominated by major research institutes which are doing commendable work, but there is a substantial lack of contemporary research originating from other centers.

Dr. Chittaranjan Andrade (NIMHANS, Bengaluru) and Dr. K Jacob (CMC, Vellore) recently figured in the list of top 2% psychiatry researchers in the world from India in psychiatry.[3] Most of the research conducted in the field of psychiatry are limited to caregivers' burden, pathways of care, and other topics which can be done in limited resources available to psychiatry departments.

While all these areas of work are important in providing proper care and treatment, there is overabundance of research in these areas.The Government of India is aggressively looking forward to enhancing the quality of research and is embarking on an ambitious project of purchasing all major journals and providing free access to universities across the country. The India Genome Project started in January, 2020, is a good example of collaboration. While all these actions are laudable, a lot more needs to be done.

Following are some measures which will reduce the gap:Research proposals at the level of protocol can be guided and mentored by institutes. Academic committees of different zones and journals can help in this endeavorBreaking the cubicles by establishing a collaboration between medical colleges and various institutes. While there is a lack of resources available in individual departments, there are universities and institutes with excellent infrastructure.

They are not aware of the requirements of the field of psychiatry and research questions. Creation of an alliance will enhance the quality of research work. Some of such institutes include Centre for Neuroscience, Indian Institute of Science, Bengaluru.

CSIR-Institute of Genomics and Integrative Biology, New Delhi. And National Institute of Biomedical Genomics, KalyaniInitiation and establishment of interactive and stable relationships between basic scientists and clinical and technological experts will enhance the quality of research work and will lead to translation of basic biomedical research into real-time applications. For example, work on artificial intelligence for mental health.

Development of Apps by IITs. Genome India Project by the Government of India, genomic institutes, and social science and economic institutes working in the field of various aspects of mental healthUtilization of underutilized, well-equipped biotechnological labs of nonmedical colleges for furthering biomedical researchMedical colleges should collaborate with various universities which have labs providing testing facilities such as spectroscopy, fluoroscopy, gamma camera, scintigraphy, positron emission tomography, single photon emission computed tomography, and photoacoustic imagingCreating an interactive, interdepartmental, intradepartmental, and interinstitutional partnershipBy developing a healthy and ethical partnership with industries for research and development of new drugs and interventions.Walking the talk – the psychiatric fraternity needs to be proactive and rather than lamenting about the lack of resource, we should rise to the occasion and come out with innovative and original research proposals. With the implementation of collaborative approach, we can not only enhance and improve the quality of our research but to an extent also mitigate the effects of resource crunch and come up as a leader in the field of biomedical research.

References 1.2.Nagoba B, Davane M. Current status of medical research in India. Where are we?.

Walawalkar Int Med J 2017;4:66-71. 3.Ioannidis JP, Boyack KW, Baas J. Updated science-wide author databases of standardized citation indicators.

PLoS Biol 2020;18:e3000918. Correspondence Address:Dr. Om Prakash SinghAA 304, Ashabari Apartments, O/31, Baishnabghata, Patuli Township, Kolkata - 700 094, West Bengal IndiaSource of Support.

None, Conflict of Interest. NoneDOI. 10.4103/indianjpsychiatry.indianjpsychiatry_1362_2Abstract Background.

The burden of mental illness among the scheduled tribe (ST) population in India is not known clearly.Aim. The aim was to identify and appraise mental health research studies on ST population in India and collate such data to inform future research.Materials and Methods. Studies published between January 1980 and December 2018 on STs by following exclusion and inclusion criteria were selected for analysis.

PubMed, PsychINFO, Embase, Sociofile, Cinhal, and Google Scholar were systematically searched to identify relevant studies. Quality of the included studies was assessed using an appraisal tool to assess the quality of cross-sectional studies and Critical Appraisal Checklist developed by Critical Appraisal Skills Programme. Studies were summarized and reported descriptively.Results.

Thirty-two relevant studies were found and included in the review. Studies were categorized into the following three thematic areas. Alcohol and substance use disorders, common mental disorders and sociocultural aspects, and access to mental health-care services.

Sociocultural factors play a major role in understanding and determining mental disorders.Conclusion. This study is the first of its kind to review research on mental health among the STs. Mental health research conducted among STs in India is limited and is mostly of low-to-moderate quality.

Determinants of poor mental health and interventions for addressing them need to be studied on an urgent basis.Keywords. India, mental health, scheduled tribesHow to cite this article:Devarapalli S V, Kallakuri S, Salam A, Maulik PK. Mental health research on scheduled tribes in India.

Indian J Psychiatry 2020;62:617-30 Introduction Mental health is a highly neglected area particularly in low and middle-income countries (LMIC). Data from community-based studies showed that about 10% of people suffer from common mental disorders (CMDs) such as depression, anxiety, and somatic complaints.[1] A systematic review of epidemiological studies between 1960 and 2009 in India reported that about 20% of the adult population in the community are affected by psychiatric disorders in the community, ranging from 9.5 to 103/1000 population, with differences in case definitions, and methods of data collection, accounting for most of the variation in estimates.[2]The scheduled tribes (ST) population is a marginalized community and live in relative social isolation with poorer health indices compared to similar nontribal populations.[3] There are an estimated 90 million STs or Adivasis in India.[4] They constitute 8.6% of the total Indian population. The distribution varies across the states and union territories of India, with the highest percentage in Lakshadweep (94.8%) followed by Mizoram (94.4%).

In northeastern states, they constitute 65% or more of the total population.[5] The ST communities are identified as culturally or ethnographically unique by the Indian Constitution. They are populations with poorer health indicators and fewer health-care facilities compared to non-ST rural populations, even when within the same state, and often live in demarcated geographical areas known as ST areas.[4]As per the National Family Health Survey, 2015–2016, the health indicators such as infant mortality rate (IMR) is 44.4, under five mortality rate (U5MR) is 57.2, and anemia in women is 59.8 for STs – one of the most disadvantaged socioeconomic groups in India, which are worse compared to other populations where IMR is 40.7, U5MR is 49.7, and anemia in women among others is 53.0 in the same areas.[6] Little research is available on the health of ST population. Tribal mental health is an ignored and neglected area in the field of health-care services.

Further, little data are available about the burden of mental disorders among the tribal communities. Health research on tribal populations is poor, globally.[7] Irrespective of the data available, it is clear that they have worse health indicators and less access to health facilities.[8] Even less is known about the burden of mental disorders in ST population. It is also found that the traditional livelihood system of the STs came into conflict with the forces of modernization, resulting not only in the loss of customary rights over the livelihood resources but also in subordination and further, developing low self-esteem, causing great psychological stress.[4] This community has poor health infrastructure and even less mental health resources, and the situation is worse when compared to other communities living in similar areas.[9],[10]Only 15%–25% of those affected with mental disorders in LMICs receive any treatment for their mental illness,[11] resulting in a large “treatment gap.”[12] Treatment gaps are more in rural populations,[13] especially in ST communities in India, which have particularly poor infrastructure and resources for health-care delivery in general, and almost no capacity for providing mental health care.[14]The aim of this systematic review was to explore the extent and nature of mental health research on ST population in India and to identify gaps and inform future research.

Materials and Methods Search strategyWe searched major databases (PubMed, PsychINFO, Embase, Sociofile, Cinhal, and Google Scholar) and made hand searches from January 1980 to December 2018 to identify relevant literature. Hand search refers to searching through medical journals which are not indexed in the major electronic databases such as Embase, for instance, searching for Indian journals in IndMed database as most of these journals are not available in major databases. Physical search refers to searching the journals that were not available online or were not available online during the study years.

We used relevant Medical Subject Heading and key terms in our search strategy, as follows. €œMental health,” “Mental disorders,” “Mental illness,” “Psychiatry,” “Scheduled Tribe” OR “Tribe” OR “Tribal Population” OR “Indigenous population,” “India,” “Psych*” (Psychiatric, psychological, psychosis).Inclusion criteriaStudies published between January 1980 and December 2018 were included. Studies on mental disorders were included only when they focused on ST population.

Both qualitative and quantitative studies on mental disorders of ST population only were included in the analysis.Exclusion criteriaStudies without any primary data and which are merely overviews and commentaries and those not focused on ST population were excluded from the analysis.Data management and analysisTwo researchers (SD and SK) initially screened the title and abstract of each record to identify relevant papers and subsequently screened full text of those relevant papers. Any disagreements between the researchers were resolved by discussion or by consulting with an adjudicator (PKM). From each study, data were extracted on objectives, study design, study population, study duration, interventions (if applicable), outcomes, and results.

Quality of the included studies was assessed, independently by three researchers (SD, SK, and AS), using Critical Appraisal Checklist developed by Critical Appraisal Skills Programme (CASP).[15] After a thorough qualitative assessment, all quantitative data were generated and tabulated. A narrative description of the studies is provided in [Table 1] using some broad categories. Results Search resultsOur search retrieved 2306 records (which included hand-searched articles), of which after removing duplicates, title and abstracts of 2278 records were screened.

Of these, 178 studies were deemed as potentially relevant and were reviewed in detail. Finally, we excluded 146 irrelevant studies and 32 studies were included in the review [Figure 1].Quality of the included studiesSummary of quality assessment of the included studies is reported in [Table 2]. Overall, nine studies were of poor quality, twenty were of moderate quality, and three studies were of high quality.

The CASP shows that out of the 32 studies, the sample size of 21 studies was not representative, sample size of 7 studies was not justified, risk factors were not identified in 28 studies, methods used were not sufficiently described to repeat them in 24 studies, and nonresponse reasons were not addressed in 24 studies. The most common reasons for studies to be of poor-quality included sample size not justified. Sample is not representative.

Nonresponse not addressed. Risk factors not measured correctly. And methods used were not sufficiently described to repeat them.

Studies under the moderate quality did not have a representative sample. Non-responders categories was not addressed. Risk factors were not measured correctly.

And methods used were not sufficiently described to allow the study to be replicated by other researchers.The included studies covered three broad categories. Alcohol and substance use disorders, CMD (depression, anxiety, stress, and suicide risk), socio-cultural aspects, and access to mental health services.Alcohol and substance use disordersFive studies reviewed the consumption of alcohol and opioid. In an ethnographic study conducted in three western districts in Rajasthan, 200 opium users were interviewed.

Opium consumption was common among both younger and older males during nonharvest seasons. The common causes for using opium were relief of anxiety related to crop failure due to drought, stress, to get a high, be part of peers, and for increased sexual performance.[16]In a study conducted in Arunachal Pradesh involving a population of more than 5000 individuals, alcohol use was present in 30% and opium use in about 5% adults.[17] Contrary to that study, in Rajasthan, the prevalence of opium use was more in women and socioeconomic factors such as occupation, education, and marital status were associated with opium use.[16] The prevalence of opium use increased with age in both sexes, decreased with increasing education level, and increased with employment. It was observed that wages were used to buy opium.

In the entire region of Chamlang district of Arunachal Pradesh, female substance users were almost half of the males among ST population.[17] Types of substance used were tobacco, alcohol, and opium. Among tobacco users, oral tobacco use was higher than smoking. The prevalence of tobacco use was higher among males, but the prevalence of alcohol use was higher in females, probably due to increased access to homemade rice brew generally prepared by women.

This study is unique in terms of finding a strong association with religion and culture with substance use.[18]Alcohol consumption among Paniyas of Wayanad district in Kerala is perceived as a male activity, with many younger people consuming it than earlier. A study concluded that alcohol consumption among them was less of a “choice” than a result of their conditions operating through different mechanisms. In the past, drinking was traditionally common among elderly males, however the consumption pattern has changed as a significant number of younger men are now drinking.

Drinking was clustered within families as fathers and sons drank together. Alcohol is easily accessible as government itself provides opportunities. Some employers would provide alcohol as an incentive to attract Paniya men to work for them.[19]In a study from Jharkhand, several ST community members cited reasons associated with social enhancement and coping with distressing emotions rather than individual enhancement, as a reason for consuming alcohol.

Societal acceptance of drinking alcohol and peer pressure, as well as high emotional problems, appeared to be the major etiology leading to higher prevalence of substance dependence in tribal communities.[20] Another study found high life time alcohol use prevalence, and the reasons mentioned were increased poverty, illiteracy, increased stress, and peer pressure.[21] A household survey from Chamlang district of Arunachal Pradesh revealed that there was a strong association between opium use and age, occupation, marital status, religion, and ethnicity among both the sexes of STs, particularly among Singhpho and Khamti.[15] The average age of onset of tobacco use was found to be 16.4 years for smoked and 17.5 years for smokeless forms in one study.[22]Common mental disorders and socio-cultural aspectsSuicide was more common among Idu Mishmi in Roing and Anini districts of Arunachal Pradesh state (14.2%) compared to the urban population in general (0.4%–4.2%). Suicides were associated with depression, anxiety, alcoholism, and eating disorders. Of all the factors, depression was significantly high in people who attempted suicide.[24] About 5% out of 5007 people from thirty villages comprising ST suffered from CMDs in a study from West Godavari district in rural Andhra Pradesh.

CMDs were defined as moderate/severe depression and/or anxiety, stress, and increased suicidal risk. Women had a higher prevalence of depression, but this may be due to the cultural norms, as men are less likely to express symptoms of depression or anxiety, which leads to underreporting. Marital status, education, and age were prominently associated with CMD.[14] In another study, gender, illiteracy, infant mortality in the household, having <3 adults living in the household, large family size with >four children, morbidity, and having two or more life events in the last year were associated with increased prevalence of CMD.[24] Urban and rural ST from the same community of Bhutias of Sikkim were examined, and it was found that the urban population experienced higher perceived stress compared to their rural counterparts.[25] Age, current use of alcohol, poor educational status, marital status, social groups, and comorbidities were the main determinants of tobacco use and nicotine dependence in a study from the Andaman and Nicobar Islands.[22] A study conducted among adolescents in the schools of rural areas of Ranchi district in Jharkhand revealed that about 5% children from the ST communities had emotional symptoms, 9.6% children had conduct problems, 4.2% had hyperactivity, and 1.4% had significant peer problems.[27] A study conducted among the female school teachers in Jharkhand examined the effects of stress, marital status, and ethnicity upon the mental health of school teachers.

The study found that among the three factors namely stress, marital status, and ethnicity, ethnicity was found to affect mental health of the school teachers most. It found a positive relationship between mental health and socioeconomic status, with an inverse relationship showing that as income increased, the prevalence of depression decreased.[28] A study among Ao-Nagas in Nagaland found that 74.6% of the population attributed mental health problems to psycho-social factors and a considerable proportion chose a psychiatrist or psychologist to overcome the problem. However, 15.4% attributed mental disorders to evil spirits.

About 47% preferred to seek treatment with a psychiatrist and 25% preferred prayers. Nearly 10.6% wanted to seek the help of both the psychiatrist and prayer group and 4.4% preferred traditional healers.[28],[29] The prevalence of Down syndrome among the ST in Chikhalia in Barwani district of Madhya Pradesh was higher than that reported in overall India. Three-fourth of the children were the first-born child.

None of the parents of children with Down syndrome had consanguineous marriage or a history of Down syndrome, intellectual disability, or any other neurological disorder such as cerebral palsy and epilepsy in preceding generations. It is known that tribal population is highly impoverished and disadvantaged in several ways and suffer proportionately higher burden of nutritional and genetic disorders, which are potential factors for Down syndrome.[30]Access to mental health-care servicesIn a study in Ranchi district of Jharkhand, it was found that most people consulted faith healers rather than qualified medical practitioners. There are few mental health services in the regions.[31] Among ST population, there was less reliance and belief in modern medicine, and it was also not easily accessible, thus the health-care systems must be more holistic and take care of cultural and local health practices.[32]The Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health project was implemented in thirty ST villages in West Godavari District of Andhra Pradesh.

The key objectives were to use task sharing, training of primary health workers, implementing evidence-based clinical decision support tools on a mobile platform, and providing mental health services to rural population. The study included 238 adults suffering from CMD. During the intervention period, 12.6% visited the primary health-care doctors compared to only 0.8% who had sought any care for their mental disorders prior to the intervention.

The study also found a significant reduction in the depression and anxiety scores at the end of intervention and improvements in stigma perceptions related to mental health.[14] A study in Gudalur and Pandalur Taluks of Nilgiri district from Tamil Nadu used low cost task shifting by providing community education and identifying and referring individuals with psychiatric problems as effective strategies for treating mental disorders in ST communities. Through the program, the health workers established a network within the village, which in turn helped the patients to interact with them freely. Consenting patients volunteered at the educational sessions to discuss their experience about the effectiveness of their treatment.

Community awareness programs altered knowledge and attitudes toward mental illness in the community.[33] A study in Nilgiri district, Tamil Nadu, found that the community had been taking responsibility of the patients with the system by providing treatment closer to home without people having to travel long distances to access care. Expenses were reduced by subsidizing the costs of medicine and ensuring free hospital admissions and referrals to the people.[34] A study on the impact of gender, socioeconomic status, and age on mental health of female factory workers in Jharkhand found that the ST women were more likely to face stress and hardship in life due to diverse economic and household responsibilities, which, in turn, severely affected their mental health.[35] Prevalence of mental health morbidity in a study from the Sunderbans delta found a positive relation with psycho-social stressors and poor quality of life. The health system in that remote area was largely managed by “quack doctors” and faith healers.

Poverty, illiteracy, and detachment from the larger community helped reinforce superstitious beliefs and made them seek both mental and physical health care from faith healers.[36] In a study among students, it was found that children had difficulties in adjusting to both ethnic and mainstream culture.[27] Low family income, inadequate housing, poor sanitation, and unhealthy and unhygienic living conditions were some environmental factors contributing to poor physical and mental growth of children. It was observed that children who did not have such risk factors maintained more intimate relations with the family members. Children belonging to the disadvantaged environment expressed their verbal, emotional need, blame, and harm avoidances more freely than their counterparts belonging to less disadvantaged backgrounds.

Although disadvantaged children had poor interfamilial interaction, they had better relations with the members outside family, such as peers, friends, and neighbors.[37] Another study in Jharkhand found that epilepsy was higher among ST patients compared to non-ST patients.[31] Most patients among the ST are irregular and dropout rates are higher among them than the non-ST patients. Urbanization per se exerted no adverse influence on the mental health of a tribal community, provided it allowed preservation of ethnic and cultural practices. Women in the ST communities were less vulnerable to mental illness than men.

This might be a reflection of their increased responsibilities and enhanced gender roles that are characteristic of women in many ST communities.[38] Data obtained using culturally relevant scales revealed that relocated Sahariya suffer a lot of mental health problems, which are partially explained by livelihood and poverty-related factors. The loss of homes and displacement compromise mental health, especially the positive emotional well-being related to happiness, life satisfaction, optimism for future, and spiritual contentment. These are often not overcome even with good relocation programs focused on material compensation and livelihood re-establishment.[39] Discussion This systematic review is to our knowledge the first on mental health of ST population in India.

Few studies on the mental health of ST were available. All attempts including hand searching were made to recover both published peer-reviewed papers and reports available on the website. Though we searched gray literature, it may be possible that it does not capture all articles.

Given the heterogeneity of the papers, it was not possible to do a meta-analysis, so a narrative review was done.The quality of the studies was assessed by CASP. The assessment shows that the research conducted on mental health of STs needs to be carried out more effectively. The above mentioned gaps need to be filled in future research by considering the resources effectively while conducting the studies.

Mental and substance use disorders contribute majorly to the health disparities. To address this, one needs to deliver evidence-based treatments, but it is important to understand how far these interventions for the indigenous populations can incorporate cultural practices, which are essential for the development of mental health services.[30] Evidence has shown a disproportionate burden of suicide among indigenous populations in national and regional studies, and a global and systematic investigation of this topic has not been undertaken to date. Previous reviews of suicide epidemiology among indigenous populations have tended to be less comprehensive or not systematic, and have often focused on subpopulations such as youth, high-income countries, or regions such as Oceania or the Arctic.[46] The only studies in our review which provided data on suicide were in Idu Mishmi, an isolated tribal population of North-East India, and tribal communities from Sunderban delta.[24],[37] Some reasons for suicide in these populations could be the poor identification of existing mental disorders, increased alcohol use, extreme poverty leading to increased debt and hopelessness, and lack of stable employment opportunities.[24],[37] The traditional consumption pattern of alcohol has changed due to the reasons associated with social enhancement and coping with distressing emotions rather than individual enhancement.[19],[20]Faith healers play a dominant role in treating mental disorders.

There is less awareness about mental health and available mental health services and even if such knowledge is available, access is limited due to remoteness of many of these villages, and often it involves high out-of-pocket expenditure.[35] Practitioners of modern medicine can play a vital role in not only increasing awareness about mental health in the community, but also engaging with faith healers and traditional medicine practitioners to help increase their capacity to identify and manage CMDs that do not need medications and can be managed through simple “talk therapy.” Knowledge on symptoms of severe mental disorders can also help such faith healers and traditional medicine practitioners to refer cases to primary care doctors or mental health professionals.Remote settlements make it difficult for ST communities to seek mental health care. Access needs to be increased by using solutions that use training of primary health workers and nonphysician health workers, task sharing, and technology-enabled clinical decision support tools.[3] The SMART Mental Health project was delivered in the tribal areas of Andhra Pradesh using those principles and was found to be beneficial by all stakeholders.[14]Given the lack of knowledge about mental health problems among these communities, the government and nongovernmental organizations should collect and disseminate data on mental disorders among the ST communities. More research funding needs to be provided and key stakeholders should be involved in creating awareness both in the community and among policy makers to develop more projects for ST communities around mental health.

Two recent meetings on tribal mental health – Round Table Meeting on Mental Health of ST Populations organized by the George Institute for Global Health, India, in 2017,[51] and the First National Conference on Tribal Mental Health organized by the Indian Psychiatric Society in Bhubaneswar in 2018 – have identified some key areas of research priority for mental health in ST communities. A national-level policy on mental health of tribal communities or population is advocated which should be developed in consultation with key stakeholders. The Indian Psychiatric Society can play a role in coordinating research activities with support of the government which can ensure regular monitoring and dissemination of the research impact to the tribal communities.

There is a need to understand how mental health symptoms are perceived in different ST communities and investigate the healing practices associated with distress/disaster/death/loss/disease. This could be done in the form of cross-sectional or cohort studies to generate proper evidence which could also include the information on prevalence, mental health morbidity, and any specific patterns associated with a specific disorder. Future research should estimate the prevalence of mental disorders in different age groups and gender, risk factors, and the influence of modernization.

Studies should develop a theoretical model to understand mental disorders and promote positive mental health within ST communities. Studies should also look at different ST communities as cultural differences exist across them, and there are also differences in socioeconomic status which impact on ability to access care.Research has shown that the impact and the benefits are amplified when research is driven by priorities that are identified by indigenous communities and involve their active participation. Their knowledge and perspectives are incorporated in processes and findings.

Reporting of findings is meaningful to the communities. And indigenous groups and other key stakeholders are engaged from the outset.[47] Future research in India on ST communities should also adhere to these broad principles to ensure relevant and beneficial research, which have direct impact on the mental health of the ST communities.There is also a need to update literature related to mental health of ST population continuously. Develop culturally appropriate validated instruments to measure mental morbidity relevant to ST population.

And use qualitative research to investigate the perceptions and barriers for help-seeking behavior.[48] Conclusion The current review helps not only to collate the existing literature on the mental health of ST communities but also identify gaps in knowledge and provide some indications about the type of research that should be funded in future.Financial support and sponsorshipNil.Conflicts of interestThere are no conflicts of interest. References 1.Gururaj G, Girish N, Isaac MK. Mental.

Neurological and Substance abuse disorders. Strategies towards a systems approach. In.

Burden of Disease in India. Equitable development – Healthy future New Delhi, India. National Commission on Macroeconomics and Health.

Ministry of Health and Family Welfare, Government of India. 2005. 2.Math SB, Srinivasaraju R.

Indian Psychiatric epidemiological studies. Learning from the past. Indian J Psychiatry 2010;52:S95-103.

3.Tewari A, Kallakuri S, Devarapalli S, Jha V, Patel A, Maulik PK. Process evaluation of the systematic medical appraisal, referral and treatment (SMART) mental health project in rural India. BMC Psychiatry 2017;17:385.

4.Ministry of Tribal Affairs, Government of India. Report of the High Level Committee on Socio-economic, Health and Educational Status of Tribal Communities of India. New Delhi.

Government of India. 2014. 5.Office of the Registrar General and Census Commissioner, Census of India.

New Delhi. Office of the Registrar General and Census Commissioner. 2011.

6.International Institute for Population Sciences and ICF. National Family Health Survey (NFHS-4), 2015-16. India, Mumbai.

International Institute for Population Sciences. 2017. 7.World Health Organization.

The World Health Report 2001-Mental Health. New Understanding, New Hope. Geneva, Switzerland.

World Health Organization. 2001. 8.Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP, et al.

Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA 2004;291:2581-90. 9.Ministry of Health and Family Welfare, Government of India and Ministry of Tribal Affairs, Report of the Expert Committee on Tribal Health.

Tribal Health in India – Bridging the Gap and a Roadmap for the Future. New Delhi. Government of India.

2013. 10.Government of India, Rural Health Statistics 2016-17. Ministry of Health and Family Welfare Statistics Division.

2017. 11.Ormel J, VonKorff M, Ustun TB, Pini S, Korten A, Oldehinkel T. Common mental disorders and disability across cultures.

Results from the WHO Collaborative Study on Psychological Problems in General Health Care. JAMA 1994;272:1741-8. 12.Thornicroft G, Brohan E, Rose D, Sartorius N, Leese M, INDIGO Study Group.

Global pattern of experienced and anticipated discrimination against people with schizophrenia. A cross-sectional survey. Lancet 2009;373:408-15.

13.Armstrong G, Kermode M, Raja S, Suja S, Chandra P, Jorm AF. A mental health training program for community health workers in India. Impact on knowledge and attitudes.

Int J Ment Health Syst 2011;5:17. 14.Maulik PK, Kallakuri S, Devarapalli S, Vadlamani VS, Jha V, Patel A. Increasing use of mental health services in remote areas using mobile technology.

A pre-post evaluation of the SMART Mental Health project in rural India. J Global Health 2017;7:1-13. 15.16.Ganguly KK, Sharma HK, Krishnamachari KA.

An ethnographic account of opium consumers of Rajasthan (India). Socio-medical perspective. Addiction 1995;90:9-12.

17.Chaturvedi HK, Mahanta J. Sociocultural diversity and substance use pattern in Arunachal Pradesh, India. Drug Alcohol Depend 2004;74:97-104.

18.Chaturvedi HK, Mahanta J, Bajpai RC, Pandey A. Correlates of opium use. Retrospective analysis of a survey of tribal communities in Arunachal Pradesh, India.

BMC Public Health 2013;13:325. 19.Mohindra KS, Narayana D, Anushreedha SS, Haddad S. Alcohol use and its consequences in South India.

Views from a marginalised tribal population. Drug Alcohol Depend 2011;117:70-3. 20.Sreeraj VS, Prasad S, Khess CR, Uvais NA.

Reasons for substance use. A comparative study of alcohol use in tribals and non-tribals. Indian J Psychol Med 2012;34:242-6.

[PUBMED] [Full text] 21.Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al. Global burden of disease attributable to mental and substance use disorders. Findings from the Global Burden of Disease Study 2010.

Lancet 2013;382:1575-86. 22.Janakiram C, Joseph J, Vasudevan S, Taha F, DeepanKumar CV, Venkitachalam R. Prevalence and dependancy of tobacco use in an indigenous population of Kerala, India.

Oral Hygiene and Health 2016;4:1 23.Manimunda SP, Benegal V, Sugunan AP, Jeemon P, Balakrishna N, Thennarusu K, et al. Tobacco use and nicotine dependency in a cross-sectional representative sample of 18,018 individuals in Andaman and Nicobar Islands, India. BMC Public Health 2012;12:515.

24.Singh PK, Singh RK, Biswas A, Rao VR. High rate of suicide attempt and associated psychological traits in an isolated tribal population of North-East India. J Affect Dis 2013;151:673-8.

25.Sushila J. Perception of Illness and Health Care among Bhils. A Study of Udaipur District in Southern Rajasthan.

2005. 26.Sobhanjan S, Mukhopadhyay B. Perceived psychosocial stress and cardiovascular risk.

Observations among the Bhutias of Sikkim, India. Stress Health 2008;24:23-34. 27.Ali A, Eqbal S.

Mental Health status of tribal school going adolescents. A study from rural community of Ranchi, Jharkhand. Telangana J Psychiatry 2016;2:38-41.

28.Diwan R. Stress and mental health of tribal and non tribal female school teachers in Jharkhand, India. Int J Sci Res Publicat 2012;2:2250-3153.

29.Longkumer I, Borooah PI. Knowledge about attitudes toward mental disorders among Nagas in North East India. IOSR J Humanities Soc Sci 2013;15:41-7.

30.Lakhan R, Kishore MT. Down syndrome in tribal population in India. A field observation.

J Neurosci Rural Pract 2016;7:40-3. [PUBMED] [Full text] 31.Nizamie HS, Akhtar S, Banerjee S, Goyal N. Health care delivery model in epilepsy to reduce treatment gap.

WHO study from a rural tribal population of India. Epilepsy Res Elsevier 2009;84:146-52. 32.Prabhakar H, Manoharan R.

The Tribal Health Initiative model for healthcare delivery. A clinical and epidemiological approach. Natl Med J India 2005;18:197-204.

33.Nimgaonkar AU, Menon SD. A task shifting mental health program for an impoverished rural Indian community. Asian J Psychiatr 2015;16:41-7.

34.Yalsangi M. Evaluation of a Community Mental Health Programme in a Tribal Area- South India. Achutha Menon Centre For Health Sciences Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Working Paper No 12.

2012. 35.Tripathy P, Nirmala N, Sarah B, Rajendra M, Josephine B, Shibanand R, et al. Effect of a participatory intervention with women's groups on birth outcomes and maternal depression in Jharkhand and Orissa, India.

A cluster-randomised controlled trial. Lancet 2010;375:1182-92. 36.Aparajita C, Anita KM, Arundhati R, Chetana P.

Assessing Social-support network among the socio culturally disadvantaged children in India. Early Child Develop Care 1996;121:37-47. 37.Chowdhury AN, Mondal R, Brahma A, Biswas MK.

Eco-psychiatry and environmental conservation. Study from Sundarban Delta, India. Environ Health Insights 2008;2:61-76.

38.Jeffery GS, Chakrapani U. Eco-psychiatry and Environmental Conservation. Study from Sundarban Delta, India.

Working Paper- Research Gate.net. September, 2016. 39.Ozer S, Acculturation, adaptation, and mental health among Ladakhi College Students a mixed methods study of an indigenous population.

J Cross Cultl Psychol 2015;46:435-53. 40.Giri DK, Chaudhary S, Govinda M, Banerjee A, Mahto AK, Chakravorty PK. Utilization of psychiatric services by tribal population of Jharkhand through community outreach programme of RINPAS.

Eastern J Psychiatry 2007;10:25-9. 41.Nandi DN, Banerjee G, Chowdhury AN, Banerjee T, Boral GC, Sen B. Urbanization and mental morbidity in certain tribal communities in West Bengal.

Indian J Psychiatry 1992;34:334-9. [PUBMED] [Full text] 42.Hackett RJ, Sagdeo D, Creed FH. The physical and social associations of common mental disorder in a tribal population in South India.

Soc Psychiatry Psychiatr Epidemiol 2007;42:712-5. 43.Raina SK, Raina S, Chander V, Grover A, Singh S, Bhardwaj A. Development of a cognitive screening instrument for tribal elderly population of Himalayan region in northern India.

J Neurosci Rural Pract 2013;4:147-53. [PUBMED] [Full text] 44.Raina SK, Raina S, Chander V, Grover A, Singh S, Bhardwaj A. Identifying risk for dementia across populations.

A study on the prevalence of dementia in tribal elderly population of Himalayan region in Northern India. Ann Indian Acad Neurol 2013;16:640-4. [PUBMED] [Full text] 45.Raina SK, Chander V, Raina S, Kumar D.

Feasibility of using everyday abilities scale of India as alternative to mental state examination as a screen in two-phase survey estimating the prevalence of dementia in largely illiterate Indian population. Indian J Psychiatry 2016;58:459-61. [PUBMED] [Full text] 46.Diwan R.

Mental health of tribal male-female factory workers in Jharkhand. IJAIR 2012;2278:234-42. 47.Banerjee T, Mukherjee SP, Nandi DN, Banerjee G, Mukherjee A, Sen B, et al.

Psychiatric morbidity in an urbanized tribal (Santal) community - A field survey. Indian J Psychiatry 1986;28:243-8. [PUBMED] [Full text] 48.Leske S, Harris MG, Charlson FJ, Ferrari AJ, Baxter AJ, Logan JM, et al.

Systematic review of interventions for Indigenous adults with mental and substance use disorders in Australia, Canada, New Zealand and the United States. Aust N Z J Psychiatry 2016;50:1040-54. 49.Pollock NJ, Naicker K, Loro A, Mulay S, Colman I.

Global incidence of suicide among Indigenous peoples. A systematic review. BMC Med 2018;16:145.

50.Silburn K, et al. Evaluation of the Cooperative Research Centre for Aboriginal Health (Australian institute for primary care, trans.). Melbourne.

Correspondence Address:S V. Siddhardh Kumar DevarapalliGeorge Institute for Global Health, Plot No. 57, Second Floor, Corporation Bank Building, Nagarjuna Circle, Punjagutta, Hyderabad - 500 082, Telangana IndiaSource of Support.

None, Conflict of Interest. NoneDOI. 10.4103/psychiatry.IndianJPsychiatry_136_19 Figures [Figure 1] Tables [Table 1], [Table 2].

How to where to buy cipro pills cite this article:Singh OP. Psychiatry research in India. Closing the research where to buy cipro pills gap. Indian J Psychiatry 2020;62:615-6Research is an important aspect of the growth and development of medical science.

Research in India in general and medical research where to buy cipro pills in particular is always being criticized for lack of innovation and originality required for the delivery of health services suitable to Indian conditions. Even the Indian Council of Medical Research (ICMR) which is a centrally funded frontier organization for conducting medical research couldn't avert criticism. It has been criticized heavily for not producing quality research papers which are pioneering, ground breaking, or pragmatic solutions for health issues plaguing India. In the words of a leading daily, The ICMR could not even list one practical application of its hundreds of research papers published where to buy cipro pills in various national and international research journals which helped cure any disease, or diagnose it with better accuracy or in less time, or even one new basic, applied or clinical research or innovation that opened a new frontier of scientific knowledge.[1]This clearly indicates that the health research output of ICMR is not up to the mark and is not commensurate with the magnitude of the disease burden in India.

According to the 12th Plan Report, the country contributes to a fifth of the world's share of diseases. The research conducted elsewhere may not be generalized to the Indian population owing to differences in biology, where to buy cipro pills health-care systems, health practices, culture, and socioeconomic standards. Questions which are pertinent and specific to the Indian context may not be answered and will remain understudied. One of the vital elements in improving this situation is the need for relevant research base that would equip policymakers to take informed health policy decisions.The Parliamentary Standing Committee on Health and Family Welfare in the 100th report on Demand for Grants (2017–2018) of the Department of Health Research observed that “the biomedical research output needs to be augmented substantially to cater to the health challenges faced by the country.”[1]Among the various reasons, lack of fund, infrastructure, and resources is the prime cause which is glaringly evident from the inadequate budget allocation for biomedical research.

While ICMR has a budget of 232 million dollars per year on health research, it is zilch in comparison to the annual where to buy cipro pills budget expenditure of the National Institute of Health, USA, on biomedical research which is 32 billion dollars.The lacuna of quality research is not merely due to lack of funds. There are other important issues which need to be considered and sorted out to end the status quo. Some of the factors which need our immediate attention are:Lack of research training and teachingImproper allocation of research facilitiesLack of information about research work happening globallyLack of promotion, motivation, commitment, and passion in the field of researchClinicians being overburdened with patientsLack of collaboration between medical colleges and established research institutesLack of continuity of research in successive batches of postgraduate (PG) students, leading to wastage of previous research and resourcesDifficulty in the application of basic biomedical research into pragmatic intervention solutions due to lack of interdisciplinary technological support/collaboration between basic scientists, clinicians, and technological experts.Majority of the biomedical research in where to buy cipro pills India are conducted in medical institutions. The majority of these are done as thesis submission for fulfillment of the requirement of PG degree.

From 2015 onward, publication of papers had been where to buy cipro pills made an obligatory requirement for promotion of faculty to higher posts. Although it offered a unique opportunity for training of residents and stimulus for research, it failed to translate into production of quality research work as thesis was limited by time and it had to be done with other clinical and academic duties.While the top four medical colleges, namely AIIMS, New Delhi. PGIMER, Chandigarh. CMC, Vellore where to buy cipro pills.

And SGIMS, Lucknow are among the top ten medical institutions in terms of publication in peer-reviewed journals, around 332 (57.3%) medical colleges have no research paper published in a decade between 2004 and 2014.[2]The research in psychiatry is realistically dominated by major research institutes which are doing commendable work, but there is a substantial lack of contemporary research originating from other centers. Dr. Chittaranjan Andrade (NIMHANS, Bengaluru) and Dr. K Jacob (CMC, Vellore) recently figured in the list of top 2% psychiatry researchers in the world from India in psychiatry.[3] Most of the research conducted in the field of psychiatry are limited to caregivers' burden, pathways of care, and other topics which can be done in limited resources available to psychiatry departments.

While all these areas of work are important in providing proper care and treatment, there is overabundance of research in these areas.The Government of India is aggressively looking forward to enhancing the quality of research and is embarking on an ambitious project of purchasing all major journals and providing free access to universities across the country. The India Genome Project started in January, 2020, is a good example of collaboration. While all these actions are laudable, a lot more needs to be done. Following are some measures which will reduce the gap:Research proposals at the level of protocol can be guided and mentored by institutes.

Academic committees of different zones and journals can help in this endeavorBreaking the cubicles by establishing a collaboration between medical colleges and various institutes. While there is a lack of resources available in individual departments, there are universities and institutes with excellent infrastructure. They are not aware of the requirements of the field of psychiatry and research questions. Creation of an alliance will enhance the quality of research work.

Some of such institutes include Centre for Neuroscience, Indian Institute of Science, Bengaluru. CSIR-Institute of Genomics and Integrative Biology, New Delhi. And National Institute of Biomedical Genomics, KalyaniInitiation and establishment of interactive and stable relationships between basic scientists and clinical and technological experts will enhance the quality of research work and will lead to translation of basic biomedical research into real-time applications. For example, work on artificial intelligence for mental health.

Development of Apps by IITs. Genome India Project by the Government of India, genomic institutes, and social science and economic institutes working in the field of various aspects of mental healthUtilization of underutilized, well-equipped biotechnological labs of nonmedical colleges for furthering biomedical researchMedical colleges should collaborate with various universities which have labs providing testing facilities such as spectroscopy, fluoroscopy, gamma camera, scintigraphy, positron emission tomography, single photon emission computed tomography, and photoacoustic imagingCreating an interactive, interdepartmental, intradepartmental, and interinstitutional partnershipBy developing a healthy and ethical partnership with industries for research and development of new drugs and interventions.Walking the talk – the psychiatric fraternity needs to be proactive and rather than lamenting about the lack of resource, we should rise to the occasion and come out with innovative and original research proposals. With the implementation of collaborative approach, we can not only enhance and improve the quality of our research but to an extent also mitigate the effects of resource crunch and come up as a leader in the field of biomedical research. References 1.2.Nagoba B, Davane M.

Current status of medical research in India. Where are we?. Walawalkar Int Med J 2017;4:66-71. 3.Ioannidis JP, Boyack KW, Baas J.

Updated science-wide author databases of standardized citation indicators. PLoS Biol 2020;18:e3000918. Correspondence Address:Dr. Om Prakash SinghAA 304, Ashabari Apartments, O/31, Baishnabghata, Patuli Township, Kolkata - 700 094, West Bengal IndiaSource of Support.

None, Conflict of Interest. NoneDOI. 10.4103/indianjpsychiatry.indianjpsychiatry_1362_2Abstract Background. The burden of mental illness among the scheduled tribe (ST) population in India is not known clearly.Aim.

The aim was to identify and appraise mental health research studies on ST population in India and collate such data to inform future research.Materials and Methods. Studies published between January 1980 and December 2018 on STs by following exclusion and inclusion criteria were selected for analysis. PubMed, PsychINFO, Embase, Sociofile, Cinhal, and Google Scholar were systematically searched to identify relevant studies. Quality of the included studies was assessed using an appraisal tool to assess the quality of cross-sectional studies and Critical Appraisal Checklist developed by Critical Appraisal Skills Programme.

Studies were summarized and reported descriptively.Results. Thirty-two relevant studies were found and included in the review. Studies were categorized into the following three thematic areas. Alcohol and substance use disorders, common mental disorders and sociocultural aspects, and access to mental health-care services.

Sociocultural factors play a major role in understanding and determining mental disorders.Conclusion. This study is the first of its kind to review research on mental health among the STs. Mental health research conducted among STs in India is limited and is mostly of low-to-moderate quality. Determinants of poor mental health and interventions for addressing them need to be studied on an urgent basis.Keywords.

India, mental health, scheduled tribesHow to cite this article:Devarapalli S V, Kallakuri S, Salam A, Maulik PK. Mental health research on scheduled tribes in India. Indian J Psychiatry 2020;62:617-30 Introduction Mental health is a highly neglected area particularly in low and middle-income countries (LMIC). Data from community-based studies showed that about 10% of people suffer from common mental disorders (CMDs) such as depression, anxiety, and somatic complaints.[1] A systematic review of epidemiological studies between 1960 and 2009 in India reported that about 20% of the adult population in the community are affected by psychiatric disorders in the community, ranging from 9.5 to 103/1000 population, with differences in case definitions, and methods of data collection, accounting for most of the variation in estimates.[2]The scheduled tribes (ST) population is a marginalized community and live in relative social isolation with poorer health indices compared to similar nontribal populations.[3] There are an estimated 90 million STs or Adivasis in India.[4] They constitute 8.6% of the total Indian population.

The distribution varies across the states and union territories of India, with the highest percentage in Lakshadweep (94.8%) followed by Mizoram (94.4%). In northeastern states, they constitute 65% or more of the total population.[5] The ST communities are identified as culturally or ethnographically unique by the Indian Constitution. They are populations with poorer health indicators and fewer health-care facilities compared to non-ST rural populations, even when within the same state, and often live in demarcated geographical areas known as ST areas.[4]As per the National Family Health Survey, 2015–2016, the health indicators such as infant mortality rate (IMR) is 44.4, under five mortality rate (U5MR) is 57.2, and anemia in women is 59.8 for STs – one of the most disadvantaged socioeconomic groups in India, which are worse compared to other populations where IMR is 40.7, U5MR is 49.7, and anemia in women among others is 53.0 in the same areas.[6] Little research is available on the health of ST population. Tribal mental health is an ignored and neglected area in the field of health-care services.

Further, little data are available about the burden of mental disorders among the tribal communities. Health research on tribal populations is poor, globally.[7] Irrespective of the data available, it is clear that they have worse health indicators and less access to health facilities.[8] Even less is known about the burden of mental disorders in ST population. It is also found that the traditional livelihood system of the STs came into conflict with the forces of modernization, resulting not only in the loss of customary rights over the livelihood resources but also in subordination and further, developing low self-esteem, causing great psychological stress.[4] This community has poor health infrastructure and even less mental health resources, and the situation is worse when compared to other communities living in similar areas.[9],[10]Only 15%–25% of those affected with mental disorders in LMICs receive any treatment for their mental illness,[11] resulting in a large “treatment gap.”[12] Treatment gaps are more in rural populations,[13] especially in ST communities in India, which have particularly poor infrastructure and resources for health-care delivery in general, and almost no capacity for providing mental health care.[14]The aim of this systematic review was to explore the extent and nature of mental health research on ST population in India and to identify gaps and inform future research. Materials and Methods Search strategyWe searched major databases (PubMed, PsychINFO, Embase, Sociofile, Cinhal, and Google Scholar) and made hand searches from January 1980 to December 2018 to identify relevant literature.

Hand search refers to searching through medical journals which are not indexed in the major electronic databases such as Embase, for instance, searching for Indian journals in IndMed database as most of these journals are not available in major databases. Physical search refers to searching the journals that were not available online or were not available online during the study years. We used relevant Medical Subject Heading and key terms in our search strategy, as follows. €œMental health,” “Mental disorders,” “Mental illness,” “Psychiatry,” “Scheduled Tribe” OR “Tribe” OR “Tribal Population” OR “Indigenous population,” “India,” “Psych*” (Psychiatric, psychological, psychosis).Inclusion criteriaStudies published between January 1980 and December 2018 were included.

Studies on mental disorders were included only when they focused on ST population. Both qualitative and quantitative studies on mental disorders of ST population only were included in the analysis.Exclusion criteriaStudies without any primary data and which are merely overviews and commentaries and those not focused on ST population were excluded from the analysis.Data management and analysisTwo researchers (SD and SK) initially screened the title and abstract of each record to identify relevant papers and subsequently screened full text of those relevant papers. Any disagreements between the researchers were resolved by discussion or by consulting with an adjudicator (PKM). From each study, data were extracted on objectives, study design, study population, study duration, interventions (if applicable), outcomes, and results.

Quality of the included studies was assessed, independently by three researchers (SD, SK, and AS), using Critical Appraisal Checklist developed by Critical Appraisal Skills Programme (CASP).[15] After a thorough qualitative assessment, all quantitative data were generated and tabulated. A narrative description of the studies is provided in [Table 1] using some broad categories. Results Search resultsOur search retrieved 2306 records (which included hand-searched articles), of which after removing duplicates, title and abstracts of 2278 records were screened. Of these, 178 studies were deemed as potentially relevant and were reviewed in detail.

Finally, we excluded 146 irrelevant studies and 32 studies were included in the review [Figure 1].Quality of the included studiesSummary of quality assessment of the included studies is reported in [Table 2]. Overall, nine studies were of poor quality, twenty were of moderate quality, and three studies were of high quality. The CASP shows that out of the 32 studies, the sample size of 21 studies was not representative, sample size of 7 studies was not justified, risk factors were not identified in 28 studies, methods used were not sufficiently described to repeat them in 24 studies, and nonresponse reasons were not addressed in 24 studies. The most common reasons for studies to be of poor-quality included sample size not justified.

Sample is not representative. Nonresponse not addressed. Risk factors not measured correctly. And methods used were not sufficiently described to repeat them.

Studies under the moderate quality did not have a representative sample. Non-responders categories was not addressed. Risk factors were not measured correctly. And methods used were not sufficiently described to allow the study to be replicated by other researchers.The included studies covered three broad categories.

Alcohol and substance use disorders, CMD (depression, anxiety, stress, and suicide risk), socio-cultural aspects, and access to mental health services.Alcohol and substance use disordersFive studies reviewed the consumption of alcohol and opioid. In an ethnographic study conducted in three western districts in Rajasthan, 200 opium users were interviewed. Opium consumption was common among both younger and older males during nonharvest seasons. The common causes for using opium were relief of anxiety related to crop failure due to drought, stress, to get a high, be part of peers, and for increased sexual performance.[16]In a study conducted in Arunachal Pradesh involving a population of more than 5000 individuals, alcohol use was present in 30% and opium use in about 5% adults.[17] Contrary to that study, in Rajasthan, the prevalence of opium use was more in women and socioeconomic factors such as occupation, education, and marital status were associated with opium use.[16] The prevalence of opium use increased with age in both sexes, decreased with increasing education level, and increased with employment.

It was observed that wages were used to buy opium. In the entire region of Chamlang district of Arunachal Pradesh, female substance users were almost half of the males among ST population.[17] Types of substance used were tobacco, alcohol, and opium. Among tobacco users, oral tobacco use was higher than smoking. The prevalence of tobacco use was higher among males, but the prevalence of alcohol use was higher in females, probably due to increased access to homemade rice brew generally prepared by women.

This study is unique in terms of finding a strong association with religion and culture with substance use.[18]Alcohol consumption among Paniyas of Wayanad district in Kerala is perceived as a male activity, with many younger people consuming it than earlier. A study concluded that alcohol consumption among them was less of a “choice” than a result of their conditions operating through different mechanisms. In the past, drinking was traditionally common among elderly males, however the consumption pattern has changed as a significant number of younger men are now drinking. Drinking was clustered within families as fathers and sons drank together.

Alcohol is easily accessible as government itself provides opportunities. Some employers would provide alcohol as an incentive to attract Paniya men to work for them.[19]In a study from Jharkhand, several ST community members cited reasons associated with social enhancement and coping with distressing emotions rather than individual enhancement, as a reason for consuming alcohol. Societal acceptance of drinking alcohol and peer pressure, as well as high emotional problems, appeared to be the major etiology leading to higher prevalence of substance dependence in tribal communities.[20] Another study found high life time alcohol use prevalence, and the reasons mentioned were increased poverty, illiteracy, increased stress, and peer pressure.[21] A household survey from Chamlang district of Arunachal Pradesh revealed that there was a strong association between opium use and age, occupation, marital status, religion, and ethnicity among both the sexes of STs, particularly among Singhpho and Khamti.[15] The average age of onset of tobacco use was found to be 16.4 years for smoked and 17.5 years for smokeless forms in one study.[22]Common mental disorders and socio-cultural aspectsSuicide was more common among Idu Mishmi in Roing and Anini districts of Arunachal Pradesh state (14.2%) compared to the urban population in general (0.4%–4.2%). Suicides were associated with depression, anxiety, alcoholism, and eating disorders.

Of all the factors, depression was significantly high in people who attempted suicide.[24] About 5% out of 5007 people from thirty villages comprising ST suffered from CMDs in a study from West Godavari district in rural Andhra Pradesh. CMDs were defined as moderate/severe depression and/or anxiety, stress, and increased suicidal risk. Women had a higher prevalence of depression, but this may be due to the cultural norms, as men are less likely to express symptoms of depression or anxiety, which leads to underreporting. Marital status, education, and age were prominently associated with CMD.[14] In another study, gender, illiteracy, infant mortality in the household, having <3 adults living in the household, large family size with >four children, morbidity, and having two or more life events in the last year were associated with increased prevalence of CMD.[24] Urban and rural ST from the same community of Bhutias of Sikkim were examined, and it was found that the urban population experienced higher perceived stress compared to their rural counterparts.[25] Age, current use of alcohol, poor educational status, marital status, social groups, and comorbidities were the main determinants of tobacco use and nicotine dependence in a study from the Andaman and Nicobar Islands.[22] A study conducted among adolescents in the schools of rural areas of Ranchi district in Jharkhand revealed that about 5% children from the ST communities had emotional symptoms, 9.6% children had conduct problems, 4.2% had hyperactivity, and 1.4% had significant peer problems.[27] A study conducted among the female school teachers in Jharkhand examined the effects of stress, marital status, and ethnicity upon the mental health of school teachers.

The study found that among the three factors namely stress, marital status, and ethnicity, ethnicity was found to affect mental health of the school teachers most. It found a positive relationship between mental health and socioeconomic status, with an inverse relationship showing that as income increased, the prevalence of depression decreased.[28] A study among Ao-Nagas in Nagaland found that 74.6% of the population attributed mental health problems to psycho-social factors and a considerable proportion chose a psychiatrist or psychologist to overcome the problem. However, 15.4% attributed mental disorders to evil spirits. About 47% preferred to seek treatment with a psychiatrist and 25% preferred prayers.

Nearly 10.6% wanted to seek the help of both the psychiatrist and prayer group and 4.4% preferred traditional healers.[28],[29] The prevalence of Down syndrome among the ST in Chikhalia in Barwani district of Madhya Pradesh was higher than that reported in overall India. Three-fourth of the children were the first-born child. None of the parents of children with Down syndrome had consanguineous marriage or a history of Down syndrome, intellectual disability, or any other neurological disorder such as cerebral palsy and epilepsy in preceding generations. It is known that tribal population is highly impoverished and disadvantaged in several ways and suffer proportionately higher burden of nutritional and genetic disorders, which are potential factors for Down syndrome.[30]Access to mental health-care servicesIn a study in Ranchi district of Jharkhand, it was found that most people consulted faith healers rather than qualified medical practitioners.

There are few mental health services in the regions.[31] Among ST population, there was less reliance and belief in modern medicine, and it was also not easily accessible, thus the health-care systems must be more holistic and take care of cultural and local health practices.[32]The Systematic Medical Appraisal, Referral and Treatment (SMART) Mental Health project was implemented in thirty ST villages in West Godavari District of Andhra Pradesh. The key objectives were to use task sharing, training of primary health workers, implementing evidence-based clinical decision support tools on a mobile platform, and providing mental health services to rural population. The study included 238 adults suffering from CMD. During the intervention period, 12.6% visited the primary health-care doctors compared to only 0.8% who had sought any care for their mental disorders prior to the intervention.

The study also found a significant reduction in the depression and anxiety scores at the end of intervention and improvements in stigma perceptions related to mental health.[14] A study in Gudalur and Pandalur Taluks of Nilgiri district from Tamil Nadu used low cost task shifting by providing community education and identifying and referring individuals with psychiatric problems as effective strategies for treating mental disorders in ST communities. Through the program, the health workers established a network within the village, which in turn helped the patients to interact with them freely. Consenting patients volunteered at the educational sessions to discuss their experience about the effectiveness of their treatment. Community awareness programs altered knowledge and attitudes toward mental illness in the community.[33] A study in Nilgiri district, Tamil Nadu, found that the community had been taking responsibility of the patients with the system by providing treatment closer to home without people having to travel long distances to access care.

Expenses were reduced by subsidizing the costs of medicine and ensuring free hospital admissions and referrals to the people.[34] A study on the impact of gender, socioeconomic status, and age on mental health of female factory workers in Jharkhand found that the ST women were more likely to face stress and hardship in life due to diverse economic and household responsibilities, which, in turn, severely affected their mental health.[35] Prevalence of mental health morbidity in a study from the Sunderbans delta found a positive relation with psycho-social stressors and poor quality of life. The health system in that remote area was largely managed by “quack doctors” and faith healers. Poverty, illiteracy, and detachment from the larger community helped reinforce superstitious beliefs and made them seek both mental and physical health care from faith healers.[36] In a study among students, it was found that children had difficulties in adjusting to both ethnic and mainstream culture.[27] Low family income, inadequate housing, poor sanitation, and unhealthy and unhygienic living conditions were some environmental factors contributing to poor physical and mental growth of children. It was observed that children who did not have such risk factors maintained more intimate relations with the family members.

Children belonging to the disadvantaged environment expressed their verbal, emotional need, blame, and harm avoidances more freely than their counterparts belonging to less disadvantaged backgrounds. Although disadvantaged children had poor interfamilial interaction, they had better relations with the members outside family, such as peers, friends, and neighbors.[37] Another study in Jharkhand found that epilepsy was higher among ST patients compared to non-ST patients.[31] Most patients among the ST are irregular and dropout rates are higher among them than the non-ST patients. Urbanization per se exerted no adverse influence on the mental health of a tribal community, provided it allowed preservation of ethnic and cultural practices. Women in the ST communities were less vulnerable to mental illness than men.

This might be a reflection of their increased responsibilities and enhanced gender roles that are characteristic of women in many ST communities.[38] Data obtained using culturally relevant scales revealed that relocated Sahariya suffer a lot of mental health problems, which are partially explained by livelihood and poverty-related factors. The loss of homes and displacement compromise mental health, especially the positive emotional well-being related to happiness, life satisfaction, optimism for future, and spiritual contentment. These are often not overcome even with good relocation programs focused on material compensation and livelihood re-establishment.[39] Discussion This systematic review is to our knowledge the first on mental health of ST population in India. Few studies on the mental health of ST were available.

All attempts including hand searching were made to recover both published peer-reviewed papers and reports available on the website. Though we searched gray literature, it may be possible that it does not capture all articles. Given the heterogeneity of the papers, it was not possible to do a meta-analysis, so a narrative review was done.The quality of the studies was assessed by CASP. The assessment shows that the research conducted on mental health of STs needs to be carried out more effectively.

The above mentioned gaps need to be filled in future research by considering the resources effectively while conducting the studies. Mental and substance use disorders contribute majorly to the health disparities. To address this, one needs to deliver evidence-based treatments, but it is important to understand how far these interventions for the indigenous populations can incorporate cultural practices, which are essential for the development of mental health services.[30] Evidence has shown a disproportionate burden of suicide among indigenous populations in national and regional studies, and a global and systematic investigation of this topic has not been undertaken to date. Previous reviews of suicide epidemiology among indigenous populations have tended to be less comprehensive or not systematic, and have often focused on subpopulations such as youth, high-income countries, or regions such as Oceania or the Arctic.[46] The only studies in our review which provided data on suicide were in Idu Mishmi, an isolated tribal population of North-East India, and tribal communities from Sunderban delta.[24],[37] Some reasons for suicide in these populations could be the poor identification of existing mental disorders, increased alcohol use, extreme poverty leading to increased debt and hopelessness, and lack of stable employment opportunities.[24],[37] The traditional consumption pattern of alcohol has changed due to the reasons associated with social enhancement and coping with distressing emotions rather than individual enhancement.[19],[20]Faith healers play a dominant role in treating mental disorders.

There is less awareness about mental health and available mental health services and even if such knowledge is available, access is limited due to remoteness of many of these villages, and often it involves high out-of-pocket expenditure.[35] Practitioners of modern medicine can play a vital role in not only increasing awareness about mental health in the community, but also engaging with faith healers and traditional medicine practitioners to help increase their capacity to identify and manage CMDs that do not need medications and can be managed through simple “talk therapy.” Knowledge on symptoms of severe mental disorders can also help such faith healers and traditional medicine practitioners to refer cases to primary care doctors or mental health professionals.Remote settlements make it difficult for ST communities to seek mental health care. Access needs to be increased by using solutions that use training of primary health workers and nonphysician health workers, task sharing, and technology-enabled clinical decision support tools.[3] The SMART Mental Health project was delivered in the tribal areas of Andhra Pradesh using those principles and was found to be beneficial by all stakeholders.[14]Given the lack of knowledge about mental health problems among these communities, the government and nongovernmental organizations should collect and disseminate data on mental disorders among the ST communities. More research funding needs to be provided and key stakeholders should be involved in creating awareness both in the community and among policy makers to develop more projects for ST communities around mental health. Two recent meetings on tribal mental health – Round Table Meeting on Mental Health of ST Populations organized by the George Institute for Global Health, India, in 2017,[51] and the First National Conference on Tribal Mental Health organized by the Indian Psychiatric Society in Bhubaneswar in 2018 – have identified some key areas of research priority for mental health in ST communities.

A national-level policy on mental health of tribal communities or population is advocated which should be developed in consultation with key stakeholders. The Indian Psychiatric Society can play a role in coordinating research activities with support of the government which can ensure regular monitoring and dissemination of the research impact to the tribal communities. There is a need to understand how mental health symptoms are perceived in different ST communities and investigate the healing practices associated with distress/disaster/death/loss/disease. This could be done in the form of cross-sectional or cohort studies to generate proper evidence which could also include the information on prevalence, mental health morbidity, and any specific patterns associated with a specific disorder.

Future research should estimate the prevalence of mental disorders in different age groups and gender, risk factors, and the influence of modernization. Studies should develop a theoretical model to understand mental disorders and promote positive mental health within ST communities. Studies should also look at different ST communities as cultural differences exist across them, and there are also differences in socioeconomic status which impact on ability to access care.Research has shown that the impact and the benefits are amplified when research is driven by priorities that are identified by indigenous communities and involve their active participation. Their knowledge and perspectives are incorporated in processes and findings.

Reporting of findings is meaningful to the communities. And indigenous groups and other key stakeholders are engaged from the outset.[47] Future research in India on ST communities should also adhere to these broad principles to ensure relevant and beneficial research, which have direct impact on the mental health of the ST communities.There is also a need to update literature related to mental health of ST population continuously. Develop culturally appropriate validated instruments to measure mental morbidity relevant to ST population. And use qualitative research to investigate the perceptions and barriers for help-seeking behavior.[48] Conclusion The current review helps not only to collate the existing literature on the mental health of ST communities but also identify gaps in knowledge and provide some indications about the type of research that should be funded in future.Financial support and sponsorshipNil.Conflicts of interestThere are no conflicts of interest.

References 1.Gururaj G, Girish N, Isaac MK. Mental. Neurological and Substance abuse disorders. Strategies towards a systems approach.

In. Burden of Disease in India. Equitable development – Healthy future New Delhi, India. National Commission on Macroeconomics and Health.

Ministry of Health and Family Welfare, Government of India. 2005. 2.Math SB, Srinivasaraju R. Indian Psychiatric epidemiological studies.

Learning from the past. Indian J Psychiatry 2010;52:S95-103. 3.Tewari A, Kallakuri S, Devarapalli S, Jha V, Patel A, Maulik PK. Process evaluation of the systematic medical appraisal, referral and treatment (SMART) mental health project in rural India.

BMC Psychiatry 2017;17:385. 4.Ministry of Tribal Affairs, Government of India. Report of the High Level Committee on Socio-economic, Health and Educational Status of Tribal Communities of India. New Delhi.

Government of India. 2014. 5.Office of the Registrar General and Census Commissioner, Census of India. New Delhi.

Office of the Registrar General and Census Commissioner. 2011. 6.International Institute for Population Sciences and ICF. National Family Health Survey (NFHS-4), 2015-16.

India, Mumbai. International Institute for Population Sciences. 2017. 7.World Health Organization.

The World Health Report 2001-Mental Health. New Understanding, New Hope. Geneva, Switzerland. World Health Organization.

2001. 8.Demyttenaere K, Bruffaerts R, Posada-Villa J, Gasquet I, Kovess V, Lepine JP, et al. Prevalence, severity, and unmet need for treatment of mental disorders in the World Health Organization World Mental Health Surveys. JAMA 2004;291:2581-90.

9.Ministry of Health and Family Welfare, Government of India and Ministry of Tribal Affairs, Report of the Expert Committee on Tribal Health. Tribal Health in India – Bridging the Gap and a Roadmap for the Future. New Delhi. Government of India.

2013. 10.Government of India, Rural Health Statistics 2016-17. Ministry of Health and Family Welfare Statistics Division. 2017.

11.Ormel J, VonKorff M, Ustun TB, Pini S, Korten A, Oldehinkel T. Common mental disorders and disability across cultures. Results from the WHO Collaborative Study on Psychological Problems in General Health Care. JAMA 1994;272:1741-8.

12.Thornicroft G, Brohan E, Rose D, Sartorius N, Leese M, INDIGO Study Group. Global pattern of experienced and anticipated discrimination against people with schizophrenia. A cross-sectional survey. Lancet 2009;373:408-15.

13.Armstrong G, Kermode M, Raja S, Suja S, Chandra P, Jorm AF. A mental health training program for community health workers in India. Impact on knowledge and attitudes. Int J Ment Health Syst 2011;5:17.

14.Maulik PK, Kallakuri S, Devarapalli S, Vadlamani VS, Jha V, Patel A. Increasing use of mental health services in remote areas using mobile technology. A pre-post evaluation of the SMART Mental Health project in rural India. J Global Health 2017;7:1-13.

15.16.Ganguly KK, Sharma HK, Krishnamachari KA. An ethnographic account of opium consumers of Rajasthan (India). Socio-medical perspective. Addiction 1995;90:9-12.

17.Chaturvedi HK, Mahanta J. Sociocultural diversity and substance use pattern in Arunachal Pradesh, India. Drug Alcohol Depend 2004;74:97-104. 18.Chaturvedi HK, Mahanta J, Bajpai RC, Pandey A.

Correlates of opium use. Retrospective analysis of a survey of tribal communities in Arunachal Pradesh, India. BMC Public Health 2013;13:325. 19.Mohindra KS, Narayana D, Anushreedha SS, Haddad S.

Alcohol use and its consequences in South India. Views from a marginalised tribal population. Drug Alcohol Depend 2011;117:70-3. 20.Sreeraj VS, Prasad S, Khess CR, Uvais NA.

Reasons for substance use. A comparative study of alcohol use in tribals and non-tribals. Indian J Psychol Med 2012;34:242-6. [PUBMED] [Full text] 21.Whiteford HA, Degenhardt L, Rehm J, Baxter AJ, Ferrari AJ, Erskine HE, et al.

Global burden of disease attributable to mental and substance use disorders. Findings from the Global Burden of Disease Study 2010. Lancet 2013;382:1575-86. 22.Janakiram C, Joseph J, Vasudevan S, Taha F, DeepanKumar CV, Venkitachalam R.

Prevalence and dependancy of tobacco use in an indigenous population of Kerala, India. Oral Hygiene and Health 2016;4:1 23.Manimunda SP, Benegal V, Sugunan AP, Jeemon P, Balakrishna N, Thennarusu K, et al. Tobacco use and nicotine dependency in a cross-sectional representative sample of 18,018 individuals in Andaman and Nicobar Islands, India. BMC Public Health 2012;12:515.

24.Singh PK, Singh RK, Biswas A, Rao VR. High rate of suicide attempt and associated psychological traits in an isolated tribal population of North-East India. J Affect Dis 2013;151:673-8. 25.Sushila J.

Perception of Illness and Health Care among Bhils. A Study of Udaipur District in Southern Rajasthan. 2005. 26.Sobhanjan S, Mukhopadhyay B.

Perceived psychosocial stress and cardiovascular risk. Observations among the Bhutias of Sikkim, India. Stress Health 2008;24:23-34. 27.Ali A, Eqbal S.

Mental Health status of tribal school going adolescents. A study from rural community of Ranchi, Jharkhand. Telangana J Psychiatry 2016;2:38-41. 28.Diwan R.

Stress and mental health of tribal and non tribal female school teachers in Jharkhand, India. Int J Sci Res Publicat 2012;2:2250-3153. 29.Longkumer I, Borooah PI. Knowledge about attitudes toward mental disorders among Nagas in North East India.

IOSR J Humanities Soc Sci 2013;15:41-7. 30.Lakhan R, Kishore MT. Down syndrome in tribal population in India. A field observation.

J Neurosci Rural Pract 2016;7:40-3. [PUBMED] [Full text] 31.Nizamie HS, Akhtar S, Banerjee S, Goyal N. Health care delivery model in epilepsy to reduce treatment gap. WHO study from a rural tribal population of India.

Epilepsy Res Elsevier 2009;84:146-52. 32.Prabhakar H, Manoharan R. The Tribal Health Initiative model for healthcare delivery. A clinical and epidemiological approach.

Natl Med J India 2005;18:197-204. 33.Nimgaonkar AU, Menon SD. A task shifting mental health program for an impoverished rural Indian community. Asian J Psychiatr 2015;16:41-7.

34.Yalsangi M. Evaluation of a Community Mental Health Programme in a Tribal Area- South India. Achutha Menon Centre For Health Sciences Studies, Sree Chitra Tirunal Institute for Medical Sciences and Technology, Working Paper No 12. 2012.

35.Tripathy P, Nirmala N, Sarah B, Rajendra M, Josephine B, Shibanand R, et al. Effect of a participatory intervention with women's groups on birth outcomes and maternal depression in Jharkhand and Orissa, India. A cluster-randomised controlled trial. Lancet 2010;375:1182-92.

36.Aparajita C, Anita KM, Arundhati R, Chetana P. Assessing Social-support network among the socio culturally disadvantaged children in India. Early Child Develop Care 1996;121:37-47. 37.Chowdhury AN, Mondal R, Brahma A, Biswas MK.

Eco-psychiatry and environmental conservation. Study from Sundarban Delta, India. Environ Health Insights 2008;2:61-76. 38.Jeffery GS, Chakrapani U.

Eco-psychiatry and Environmental Conservation. Study from Sundarban Delta, India. Working Paper- Research Gate.net. September, 2016.

39.Ozer S, Acculturation, adaptation, and mental health among Ladakhi College Students a mixed methods study of an indigenous population. J Cross Cultl Psychol 2015;46:435-53. 40.Giri DK, Chaudhary S, Govinda M, Banerjee A, Mahto AK, Chakravorty PK. Utilization of psychiatric services by tribal population of Jharkhand through community outreach programme of RINPAS.

Eastern J Psychiatry 2007;10:25-9. 41.Nandi DN, Banerjee G, Chowdhury AN, Banerjee T, Boral GC, Sen B. Urbanization and mental morbidity in certain tribal communities in West Bengal. Indian J Psychiatry 1992;34:334-9.

[PUBMED] [Full text] 42.Hackett RJ, Sagdeo D, Creed FH. The physical and social associations of common mental disorder in a tribal population in South India. Soc Psychiatry Psychiatr Epidemiol 2007;42:712-5. 43.Raina SK, Raina S, Chander V, Grover A, Singh S, Bhardwaj A.

Development of a cognitive screening instrument for tribal elderly population of Himalayan region in northern India. J Neurosci Rural Pract 2013;4:147-53. [PUBMED] [Full text] 44.Raina SK, Raina S, Chander V, Grover A, Singh S, Bhardwaj A. Identifying risk for dementia across populations.

A study on the prevalence of dementia in tribal elderly population of Himalayan region in Northern India. Ann Indian Acad Neurol 2013;16:640-4. [PUBMED] [Full text] 45.Raina SK, Chander V, Raina S, Kumar D. Feasibility of using everyday abilities scale of India as alternative to mental state examination as a screen in two-phase survey estimating the prevalence of dementia in largely illiterate Indian population.

Indian J Psychiatry 2016;58:459-61. [PUBMED] [Full text] 46.Diwan R. Mental health of tribal male-female factory workers in Jharkhand. IJAIR 2012;2278:234-42.

47.Banerjee T, Mukherjee SP, Nandi DN, Banerjee G, Mukherjee A, Sen B, et al. Psychiatric morbidity in an urbanized tribal (Santal) community - A field survey. Indian J Psychiatry 1986;28:243-8. [PUBMED] [Full text] 48.Leske S, Harris MG, Charlson FJ, Ferrari AJ, Baxter AJ, Logan JM, et al.

Systematic review of interventions for Indigenous adults with mental and substance use disorders in Australia, Canada, New Zealand and the United States. Aust N Z J Psychiatry 2016;50:1040-54. 49.Pollock NJ, Naicker K, Loro A, Mulay S, Colman I. Global incidence of suicide among Indigenous peoples.

A systematic review. BMC Med 2018;16:145. 50.Silburn K, et al. Evaluation of the Cooperative Research Centre for Aboriginal Health (Australian institute for primary care, trans.).

Correspondence Address:S V. Siddhardh Kumar DevarapalliGeorge Institute for Global Health, Plot No. 57, Second Floor, Corporation Bank Building, Nagarjuna Circle, Punjagutta, Hyderabad - 500 082, Telangana IndiaSource of Support. None, Conflict of Interest.

NoneDOI. 10.4103/psychiatry.IndianJPsychiatry_136_19 Figures [Figure 1] Tables [Table 1], [Table 2].

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