Accuracy of proactive case finding for mental disorders by community informants in Nepal.
BACKGROUND: Accurate detection of persons in need of mental healthcare is crucial to reduce the treatment gap between psychiatric burden and service use in low- and middle-income (LAMI) countries. AIMS: To evaluate the accuracy of a community-based proactive case-finding strategy (Community Informant Detection Tool, CIDT), involving pictorial vignettes, designed to initiate pathways for mental health treatment in primary care settings. METHOD: Community informants using the CIDT identified screen positive (n = 110) and negative persons (n = 85). Participants were then administered the Composite International Diagnostic Interview (CIDI). RESULTS: The CIDT has a positive predictive value of 0.64 (0.68 for adults only) and a negative predictive value of 0.93 (0.91 for adults only). CONCLUSIONS: The CIDT has promising detection properties for psychiatric caseness. Further research should investigate its potential to increase demand for, and access to, mental health services.
Duke Scholars
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- Psychiatry
- Psychiatric Status Rating Scales
- Poverty
- Nepal
- Middle Aged
- Mental Health Services
- Mental Disorders
- Male
- Humans
- Female
Citation
Published In
DOI
EISSN
Publication Date
Volume
Issue
Start / End Page
Location
Related Subject Headings
- Psychiatry
- Psychiatric Status Rating Scales
- Poverty
- Nepal
- Middle Aged
- Mental Health Services
- Mental Disorders
- Male
- Humans
- Female