The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity
The National Mental Health Survey of India (2016): Prevalence, socio-demographic correlates and treatment gap of mental morbidity
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DOI：
10.1177/0020764020907941
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发表时间：
2020-03-04
影响因子：
7.5
通讯作者：
Shibukumar, Theerthankara Meethal
中科院分区：
文献类型：
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作者：
Gautham, Melur Sukumar;Gururaj, Gopalkrishna;Shibukumar, Theerthankara Meethal
背景：认识到需要高质量，科学和可靠的信息来加强精神卫生政策和计划，印度国家精神卫生调查（NMHS）由国家精神卫生和神经科学研究所（NIMHANS），班加罗尔，在2015- 2016年实施。目的：估计印度代表性人群中精神疾病的患病率，社会人口统计学相关因素和治疗差距。方法：NMHS在印度12个州进行，经过培训的现场调查人员使用平板电脑辅助个人访谈完成了34，802次访谈。通过多阶段、分层、随机整群抽样技术在家庭中选择合格的研究受试者（18岁以上）。使用MINI 6评估精神病发病率。采用三层数据监控系统以确保质量。加权和具体的患病率估计得出（目前和一生）不同的精神疾病。根据国际疾病统计分类，第十次修订的研究诊断标准（ICD-10 DCR），精神疾病被定义为这些疾病。采用多因素Logistic回归分析不同社会人口学因素对精神病发病风险的影响。结果：“任何精神疾病”的加权终生患病率为13.67%（95% CI = 13.61，13.73），现患率为10.56%（95% CI = 10.51，10.61）。由于使用精神活性物质（F10-F19; 22.44%）、情绪障碍（F30-F39; 5.61%）以及神经症和压力相关障碍（F40-F48; 3.70%）而导致的精神和行为问题是印度最常见的精神疾病。据估计，男性、中年人、城市大都市、教育程度较低和收入较低的家庭的总体流行率较高。结论：NMHS是印度最大的精神疾病调查。调查估计，在印度，近1.5亿人患有一种或另一种精神疾病。这些信息将用于规划、实施和评估该国的心理健康方案。
Background:Recognizing the need for good quality, scientific and reliable information for strengthening mental health policies and programmes, the National Mental Health Survey (NMHS) of India was implemented by National Institute of Mental Health and Neurosciences (NIMHANS), Bangalore, in the year 2015-2016.Aim:To estimate the prevalence, socio-demographic correlates and treatment gap of mental morbidity in a representative population of India.Methods:NMHS was conducted across 12 Indian states where trained field investigators completed 34,802 interviews using tablet-assisted personal interviews. Eligible study subjects (18+ years) in households were selected by a multi-stage, stratified, random cluster sampling technique. Mental morbidity was assessed using MINI 6. Three-tier data monitoring system was adopted for quality assurance. Weighted and specific prevalence estimates were derived (current and lifetime) for different mental disorders. Mental morbidity was defined as those disorders as per the International Statistical Classification of Diseases, Tenth Revision Diagnostic Criteria for Research (ICD-10 DCR). Multivariate logistic regression was conducted to examine risk for mental morbidity by different socio-demographic factors. Survey was approved by central and state-level institutional ethical committees.Results:The weighted lifetime prevalence of 'any mental morbidity' was estimated at 13.67% (95% confidence interval (CI) = 13.61, 13.73) and current prevalence was 10.56% (95% CI = 10.51, 10.61). Mental and behavioural problems due to psychoactive substance use (F10-F19; 22.44%), mood disorders (F30-F39; 5.61%) and neurotic and stress-related disorders (F40-F48; 3.70%) were the most commonly prevalent mental morbidity in India. The overall prevalence was estimated to be higher among males, middle-aged individuals, in urban-metros, among less educated and in households with lower income. Treatment gap for overall mental morbidity was 84.5%.Conclusion:NMHS is the largest reported survey of mental morbidity in India. Survey estimated that nearly 150 million individuals suffer from one or the other mental morbidity in India. This information is to be used for planning, delivery and evaluating mental health programming in the country.