Psychiatric morbidity in the community: A population based-study from Kerala
Psychiatric morbidity in the community: A population based-study from Kerala
复制标题
DOI：
10.4103/psychiatry.indianjpsychiatry_162_17
复制
发表时间：
2017-04-01
影响因子：
3.1
通讯作者：
Anand, T. N.
中科院分区：
文献类型：
--
作者：
Shaji, K. S.;Raju, D.;Anand, T. N.
背景：社区精神病发病率的估计将有助于服务的发展。参加培训的非专科医疗保健提供者将促进扩大服务在资源有限的settings.Aims：本研究的目的是估计的患病率，优先精神卫生问题的人口服务区精神卫生计划（DMHP）。设置和设计：这是一个以人口为基础的横断面surveillance. Materials and Methods：我们做了分层整群抽样的家庭在五个区的喀拉拉邦。经过培训的认可社会健康活动家（ASHA）确定了那些有精神分裂症或双相情感障碍症状的人。临床医生评估了ASHA收集的信息，并将个人指定为精神病或非精神病的可能病例。筛选工具，如一般健康问卷-12，CAGE问卷，日常能力量表为印度被用来确定常见的精神障碍（CMD），临床上显着的酒精相关的问题，和功能impairment.Results：我们发现12.43%的成年人受心理健康状况。我们发现CMD最常见，患病率为9%。精神病的患病率为0.71%，临床显著的酒精相关问题为1.46%，痴呆和其他认知障碍为1.26%。我们发现基于线人的情况下发现是有用的精神病的identification。结论：心理健康问题是常见的。非专科保健提供者可以接受培训，以确定社区中的精神病发病率。他们的参与将有助于缩小治疗差距。将运筹学嵌入DMHP将使规模扩大更有效率。
Background: Estimates of psychiatric morbidity in the community will help service development. Participation of trained nonspecialist health-care providers will facilitate scaling up of services in resource-limited settings.Aims: This study aimed to estimate the prevalence of priority mental health problems in populations served by the District Mental Health Program (DMHP).Settings and Design: This is a population-based cross-sectional survey.Materials and Methods: We did stratified cluster sampling of households in five districts of Kerala. Trained Accredited Social Health Activists (ASHAs) identified people who had symptoms suggestive of schizophrenia or bipolar disorder. Clinicians evaluated the information collected by the ASHAs and designated individuals as probable cases of psychosis or noncases. Screening instruments such as General Health Questionnaire-12, CAGE questionnaire, and Everyday Abilities Scale for India were used for identifying common mental disorders (CMDs), clinically significant alcohol-related problems, and functional impairment.Results: We found 12.43% of the adult population affected by mental health conditions. We found CMD as most common with a prevalence of 9%. The prevalence of psychosis was 0.71%, clinically significant alcohol-related problems was 1.46%, and dementia and other cognitive impairments was 1.26%. We found informant-based case finding to be useful in the identification of psychosis.Conclusions: Mental health problems are common. Nonspecialist health-care providers can be trained to identify psychiatric morbidity in the community. Their participation will help in narrowing the treatment gap. Embedding operational research to DMHP will make scaling up more efficient.