Accuracy of proactive case finding for mental disorders by community informants in Nepal
This study aims to evaluate the accuracy of a community-based proactive case-finding strategy
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.
The aim of this study was 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.
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).
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).
The study concluded that 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.
This research is supported by the Department for International Development’s Programme for Improving Mental Health Care (PRIME) which is led by University of Cape Town
Jordans, M.J.D.; Kohrt, B.A.; Luitel, N.P.; Komproe, I.H.; Lund, C. Accuracy of proactive case finding for mental disorders by community informants in Nepal. British Journal of Psychiatry (2015) 207 (6) 501-506. [DOI: 10.1192/bjp.bp.113.141077]