印度旁遮普邦精神障碍的残疾和社会经济影响:2015-2016年全国精神卫生调查结果

B S Chavan, Subhash Das, Rohit Garg, Sonia Puri, Aravind Ba Banavaram
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引用次数: 10

摘要

背景:精神疾病会导致大量令人痛苦的问题,具有巨大的社会经济影响,并导致个人和照顾者的社会职业功能障碍。在印度这样的发展中国家,有必要探讨精神疾病造成的残疾及其在人口层面上的相关社会经济影响。目的:阐明印度旁遮普邦在个人和家庭层面上与精神疾病相关的残疾和社会经济影响。方法:这是一项2015-2016年期间(作为印度国家心理健康调查的一部分)在旁遮普的三个地区和一个城市都市区进行的多地点横断面研究。采用多阶段分层随机整群抽样技术,在不同阶段采用PPS随机抽样。一套经过验证的问题被用来评估精神疾病的社会经济影响,并使用Sheehan残疾量表来记录精神疾病个体的自我认知残疾。中位数(IQR)和比例分别用于总结定量和定性数据。结果:有任何精神疾病的受试者在不同的生活领域报告了不同程度的残疾;家庭生活受影响最大(70.1%)。六分之一的人报告说,他们的精神疾病在很大程度上干扰了他们的日常活动。经济负担很高,一个典型的家庭每月将花费大约1500印度卢比(23美元)用于治疗其患有精神疾病的成员。家庭成员必须在3个月内放弃工作至少7天,以照顾患有精神疾病的亲属。结论:精神疾病导致个人残疾,对家庭产生巨大的社会经济影响,在很大程度上使家庭的生产力丧失,从而影响社会。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Disability and socio-economic impact of mental disorders in the state of Punjab, India: Findings from national mental health survey, 2015-2016.

Background: Mental illness results in a plethora of distressing issues, has tremendous socio-economic impact and causes socio-occupational dysfunction in the individual as well as the caregivers. There is a felt need to explore the disability caused by mental illness and the associated socio-economic impact at the population level in a developing nation like India.

Aims: To elucidate the disability and socio-economic impact associated with mental illness at the individual and household levels for the state of Punjab in India.

Method: This was a multisite cross-sectional study carried out during 2015-2016 (as a part of the National Mental Health Survey of India) in three districts and one urban metro area of Punjab. The sample was selected using multi-stage, stratified, random cluster sampling technique, with random selection based on Probability Proportionate to Size (PPS) at different stages. A validated set of questions was used to assess the socio-economic impact of mental illness and the Sheehan Disability Scale was used to document self-perceived disability among individuals with mental morbidity. Median (IQR) and proportions were used to summarize quantitative and qualitative data, respectively Results: Subjects with any mental morbidity reported disability of varying severities across different domains of life; family life was affected the most (70.1%). One in every six persons reported that their mental illness interfered with their daily activities to a large extent. Economic burden was high and a typical family would spend about INR 1500/month (US$23) towards the treatment of its member with mental morbidity. Family members had to forego their work for at least 7 days in 3 months to take care of their relative with mental illness.

Conclusion: Mental illness causes disability in the individual and has tremendous socio-economic impact on the family, incapacitating a family's productivity to a large extent and thus affecting the society.

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