Literature DB >> 33530396

Accuracy of Community Informant Led Detection of Maternal Depression in Rural Pakistan.

Shamaila Mohsin1,2, Ahmed Waqas3,4, Najia Atif4, Muhamamd Waqas Rabbani5, Shahzad Ali Khan2, Samina Bilal4, Maria Sharif4, Amina Bibi4, Siham Sikander2,3,4.   

Abstract

Maternal depression is a global mental health and a public health priority. Despite the priority its active detection is still a challenge. We tested the accuracy of an adapted version of Community Informant Detection Tool for Maternal Depression (CIDT-MD) in rural settings of Pakistan. Using a single stage design, trained community informants (lady health workers and lay peers) identified women (pregnant and/or with children) with symptoms of probable depression using CIDT-MD. This was immediately followed by diagnostic interviews of all the women using the Structured Clinical Interview for the Diagnostic and Statistical Manual (SCID-V) for current major depressive episode by trained assessors, blinded to the outcome of CIDT-MD. Data were analyzed using Statistical Package for Social Sciences (Version 25.0, IBM Corp., Armonk, NY, USA) and FACTOR software (Version. 10.3.01, Virgili University, Tarragona, Spain). Descriptive statistics, factor analysis, validity, reliability and known group validity was conducted to evaluate the psychometric properties of the adapted CIDT-MD. In all, 425 women, with mean age of 28 years (SD = 4.7), participated. Nearly 10% were illiterate, while the rest (90%) had an education ranging from eight to 15 years of schooling. The majority (73.2%) of the participants had 1-3 children while only 17.4% had >3 children. The sensitivity and specificity of CIDT-MD in detecting depressive symptoms was 97.5% (95% CI: 94.2-99.1) and 82.4% (95% CI: 77.8-86.4) respectively. It's positive predictive value (PPV), 77.3% (95% CI: 72.9-81.2) and the negative predictive value (NPV) was 98.17% (95% CI: 95.7-99.2). While factor analysis revealed high inter-item correlation for most items (0.62-0.77) with an adequately fair Kaiser-Meyer-Olkin (KMO) sampling adequacy (0.73), significant Bartlett's test of sphericity (p < 0.001). Uni-dimensionality for the CIDT-MD based on one-dimensional congruence (0.97), explained common variance (0.85), excellent internal consistency (0.90), good criterion validity (Area Under Curve = 81%), tester-test reliability (0.87-0.89) and statistically significant known group analysis (p < 0.001). The adapted version of the Community Informant Detection Tool for Maternal Depression is a valid and a reliable tool for active case detection of maternal depression in rural settings of Pakistan.

Entities:  

Keywords:  Pakistan; accuracy; community; depression; detection; informant; maternal

Mesh:

Year:  2021        PMID: 33530396      PMCID: PMC7908615          DOI: 10.3390/ijerph18031075

Source DB:  PubMed          Journal:  Int J Environ Res Public Health        ISSN: 1660-4601            Impact factor:   3.390


  48 in total

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  4 in total

1.  Cultural Adaptation of Community Informant Tool for Detection of Maternal Depression in Rural Pakistan.

Authors:  Shamaila Mohsin; Najia Atif; Waqas Rabbani; Ahmaren Tariq; Shahzad Ali Khan; Mahjabeen Tariq; Siham Sikander
Journal:  Front Psychiatry       Date:  2021-04-01       Impact factor: 4.157

2.  Technology-assisted peer therapy: a new way of delivering evidence-based psychological interventions.

Authors:  Najia Atif; Huma Nazir; Zoone Hasan Sultan; Rabia Rauf; Ahmed Waqas; Abid Malik; Siham Sikander; Atif Rahman
Journal:  BMC Health Serv Res       Date:  2022-06-30       Impact factor: 2.908

3.  Accuracy of a community mental health education and detection (CMED) tool for common mental disorders in KwaZulu-Natal, South Africa.

Authors:  Merridy Grant; Inge Petersen; Londiwe Mthethwa; Zamasomi Luvuno; Arvin Bhana
Journal:  Int J Ment Health Syst       Date:  2022-08-23

4.  Scalable Screening and Treatment Response Monitoring for Perinatal Depression in Low- and Middle-Income Countries.

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Journal:  Int J Environ Res Public Health       Date:  2021-06-22       Impact factor: 3.390

  4 in total

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