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]
Accuracy of proactive case finding for mental disorders by community informants in Nepal