Literature DB >> 27803977

The China Mental Health Survey: II. Design and field procedures.

Zhaorui Liu1, Yueqin Huang2, Ping Lv3, Tingting Zhang1, Hong Wang4, Qiang Li3, Jie Yan3, Yaqin Yu5, Changgui Kou5, Xiufeng Xu6, Jin Lu6, Zhizhong Wang7, Hongyan Qiu7, Yifeng Xu8, Yanling He8, Tao Li9, Wanjun Guo9, Hongjun Tian10, Guangming Xu10, Xiangdong Xu11, Yanjuan Ma11, Linhong Wang12, Limin Wang12, Yongping Yan13, Bo Wang13, Shuiyuan Xiao14, Liang Zhou14, Lingjiang Li15, Liwen Tan15, Hongguang Chen1, Chao Ma1.   

Abstract

China Mental Health Survey (CMHS), which was carried out from July 2013 to March 2015, was the first national representative community survey of mental disorders and mental health services in China using computer-assisted personal interview (CAPI). Face-to-face interviews were finished in the homes of respondents who were selected from a nationally representative multi-stage disproportionate stratified sampling procedure. Sample selection was integrated with the National Chronic Disease and Risk Factor Surveillance Survey administered by the National Centre for Chronic and Non-communicable Disease Control and Prevention in 2013, which made it possible to obtain both physical and mental health information of Chinese community population. One-stage design of data collection was used in the CMHS to obtain the information of mental disorders, including mood disorders, anxiety disorders, and substance use disorders, while two-stage design was applied for schizophrenia and other psychotic disorders, and dementia. A total of 28,140 respondents finished the survey with 72.9% of the overall response rate. This paper describes the survey mode, fieldwork organization, procedures, and the sample design and weighting of the CMHS. Detailed information is presented on the establishment of a new payment scheme for interviewers, results of the quality control in both stages, and evaluations to the weighting.

Entities:  

Keywords:  Epidemiologic research design; Fieldwork; Sample weights; Survey mode; Survey sampling

Mesh:

Year:  2016        PMID: 27803977     DOI: 10.1007/s00127-016-1269-5

Source DB:  PubMed          Journal:  Soc Psychiatry Psychiatr Epidemiol        ISSN: 0933-7954            Impact factor:   4.328


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