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

Mark J D Jordans*, Brandon A. Kohrt, Nagendra P. Luitel, Ivan H. Komproe, Crick Lund

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

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.

Original languageEnglish
Pages (from-to)501-506
Number of pages6
JournalBritish Journal of Psychiatry
Volume207
Issue number6
DOIs
Publication statusPublished - Dec 2015

Fingerprint

Dive into the research topics of 'Accuracy of proactive case finding for mental disorders by community informants in Nepal'. Together they form a unique fingerprint.

Cite this