Dataset Information

National Mental Health Survey of India, 2016 - Rationale, design and methods.

ABSTRACT: Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014-15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of health-care seeking, service utilization patterns, along with an understanding of the impact and disability due to these disorders. This paper describes the design, steps and the methodology adopted for phase 1 of the NMHS conducted in India. The NMHS phase 1 covered a representative population of 39,532 from 12 states across 6 regions of India, namely, the states of Punjab and Uttar Pradesh (North); Tamil Nadu and Kerala (South); Jharkhand and West Bengal (East); Rajasthan and Gujarat (West); Madhya Pradesh and Chhattisgarh (Central) and Assam and Manipur (North East). The NMHS of India (2015-16) is a unique representative survey which adopted a uniform and standardized methodology which sought to overcome limitations of previous surveys. It employed a multi-stage, stratified, random cluster sampling technique, with random selection of clusters based on Probability Proportionate to Size. It was expected that the findings from the NMHS 2015-16 would reveal the burden of mental disorders, the magnitude of the treatment gap, existing challenges and prevailing barriers in the mental-health delivery systems in the country at a single point in time. It is hoped that the results of NMHS will provide the evidence to strengthen and implement mental health policies and programs in the near future and provide the rationale to enhance investment in mental health care in India. It is also hoped that the NMHS will provide a framework for conducting similar population based surveys on mental health and other public health problems in low and middle-income countries.

SUBMITTER: Pradeep BS

PROVIDER: S-EPMC6201882 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

National Mental Health Survey of India, 2016 - Rationale, design and methods.

Pradeep Banandur S BS Gururaj Gopalkrishna G Varghese Mathew M Benegal Vivek V Rao Girish N GN Sukumar Gautham M GM Amudhan Senthil S Arvind Banavaram B Girimaji Satish S K Thennarasu T P Marimuthu M Vijayasagar Kommu John KJ Bhaskarapillai Binukumar B Thirthalli Jagadisha J Loganathan Santosh S Kumar Naveen N Sudhir Paulomi P Sathyanarayana Veena A VA Pathak Kangkan K Singh Lokesh Kumar LK Mehta Ritambhara Y RY Ram Daya D T M Shibukumar S Kokane Arun A R K Lenin Singh LS B S Chavan C Sharma Pradeep P C Ramasubramanian R P K Dalal D Saha Pradeep Kumar PK Deuri Sonia Pereira SP Giri Anjan Kumar AK Kavishvar Abhay Bhaskar AB Sinha Vinod K VK Thavody Jayakrishnan J Chatterji Rajni R Akoijam Brogen Singh BS Das Subhash S Kashyap Amita A R V Sathish S M Selvi S S K Singh S Agarwal Vivek V Misra Raghunath R

PloS one 20181025 10

Understanding the burden and pattern of mental disorders as well as mapping the existing resources for delivery of mental health services in India, has been a felt need over decades. Recognizing this necessity, the Ministry of Health and Family Welfare, Government of India, commissioned the National Mental Health Survey (NMHS) in the year 2014-15. The NMHS aimed to estimate the prevalence and burden of mental health disorders in India and identify current treatment gaps, existing patterns of hea ...[more]

PMID: 30359382

Similar Datasets

Project description:IntroductionThe primary aim of the National Institute of Health Research-funded global health research group, Warwick-India-Canada (WIC), is to reduce the burden of psychotic disorders in India. India has a large pool of undetected and untreated patients with psychosis and a treatment gap exceeding 75%. Evidence-based packages of care have been piloted, but delivery of treatments still remains a challenge. Even when patients access treatment, there is minimal to no continuity of care. The overarching ambition of WIC programme is to improve patient outcomes through (1) developing culturally tailored clinical interventions, (2) early identification and timely treatment of individuals with mental illness and (3) improving access to care by exploiting the potential of digital technologies.Methods and analysisThis multicentre, multicomponent research programme, comprising five work packages and two cross-cutting themes, is being conducted at two sites in India: Schizophrenia Research Foundation, Chennai (South India) and All India Institute of Medical Sciences, New Delhi (North India). WIC will (1) develop and evaluate evidence-informed interventions for early and first-episode psychosis; (2) determine pathways of care for early psychosis; (3) investigate the efficacy and cost-effectiveness of community care models, including digital and mobile technologies; (4) develop strategies to reduce the burden of mental illnesses among youth; (5) assess the economic burden of psychosis on patients and their carers; and (6) determine the feasibility of an early intervention in psychosis programme in India.Ethics and disseminationThis study was approved by the University of Warwick's Biomedical and Scientific Research Ethics Committee (reference: REGO-2018-2208), Coventry, UK and research ethics committees of all participating organisations. Research findings will be disseminated through peer-reviewed scientific publications, presentations at learnt societies and visual media.

Project description:The Integrated Child Development Services (ICDS) program launched in India in 1975 is one of the world's largest flagship programs that aims to improve early childhood care and development via a range of healthcare, nutrition and early education services. The key to success of ICDS is in finding solutions to the historical challenges of geographic and socioeconomic inequalities in access to various services under this umbrella scheme. Using birth history data from the National Family Health Survey (Demographic and Health Survey), 2015-2016, this study presents (a) socioeconomic patterning in service uptake across rural and urban India, and (b) continuum in service utilization at three points (i.e., by mothers during pregnancy, by mothers while breastfeeding and by children aged 0-72 months) in India. We used an intersectional approach and ran a series multilevel logistic regression (random effects) models to understand patterning in utilization among mothers across socioeconomic groups. We also computed the area under the receiver operating characteristic curve (ROC-AUC) based on a logistic regression model to examine concordance between service utilization across three different points. The service utilization (any service) by mothers during pregnancy was about 20 percentage points higher for rural areas (60.5 percent; 95% CI: 60.3; 30.7) than urban areas (38.8 percent; 95% CI: 38.4; 39.1). We also found a lower uptake of services related to health and nutrition education during pregnancy (41.9 percent in rural) and early childcare (preschool) (42.4 percent). One in every two mother-child pairs did not avail any benefits from ICDS in urban areas. Estimates from random effects model revealed higher odds of utilization among schedule caste mothers from middle-class households in rural households. AUC estimates suggested a high concordance between service utilization by mothers and their children (AUC: 0.79 in rural; 0.84 in urban) implying a higher likelihood of continuum if service utilization commences at pregnancy.

Project description:OBJECTIVE:The National Family Health Survey-4 in India provided the first nationally representative estimates of hysterectomy among women aged 15-49. This paper aims to examine the national and state-level age-specific prevalence of hysterectomy, individual and household level factors associated with the procedure, and state-level indicators that may explain variation across states. DESIGN:Cross-sectional, nationally representative household survey. SETTING:National Family Health Survey was conducted across all Indian states and union territories between 2015 and 2016. POPULATION:The survey covered 699 686 women between the ages of 15 and 49 years. METHODS:Descriptive analyses and multivariate logistic regression. MAIN OUTCOME MEASURES:Women who reported ever having a hysterectomy and age at hysterectomy. RESULTS:Age-specific prevalence of hysterectomy was 0.36% (0.33,0.39) among women aged 15-29; 3.59% (3.45,3.74) among women aged 30-39; and 9.20% (8.94,9.46) among women 40-49 years. There was considerable variation in prevalence by state. Four states reported age-specific prevalence similar to high-income settings. Approximately two-thirds of hysterectomies were conducted in private facilities, with similar patterns across age groups. At the national level, higher age and parity (at least two children); not having had formal schooling; rural residence (adjusted odds ratio [AOR] 1.36; 95% CI 1.27,1.45; P < 0.01) and higher wealth status were associated with higher odds of hysterectomy. Previously sterilised women had lower odds (AOR 0.64; 95% CI 0.61,0,68; P < 0.01) of reporting hysterectomy. Exploratory analyses suggest state-level factors associated with prevalence of hysterectomy include caesarean section, female illiteracy, and women's employment. CONCLUSIONS:Hysterectomy patterns among women aged 15-49 in India indicate the critical need to ensure treatment options for gynaecological morbidity and to address hysterectomy among young women in particular. FUNDING:This study was part of the RASTA initiative of the Population Council's India country office under the Evidence Project supported by USAID. TWEETABLE ABSTRACT:Hysterectomy patterns in India highlight the need for alternatives to treat gynaecological morbidity among younger women.

Dataset Information

National Mental Health Survey of India, 2016 - Rationale, design and methods.

Publications

National Mental Health Survey of India, 2016 - Rationale, design and methods.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets