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The development of an ultra-short, maternal mental health screening tool in South Africa

PURPOSE. The burden of common perinatal mental disorders (CPMD) in low-and-middle-income countries is substantially higher than high-income countries, with low levels of detection, service provision and treatment in resource-constrained settings. We describe the development of an ultra-short screeni...

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Autores principales: van Heyningen, T., Myer, L., Tomlinson, M., Field, S., Honikman, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cambridge University Press 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796322/
https://www.ncbi.nlm.nih.gov/pubmed/31662879
http://dx.doi.org/10.1017/gmh.2019.21
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author van Heyningen, T.
Myer, L.
Tomlinson, M.
Field, S.
Honikman, S.
author_facet van Heyningen, T.
Myer, L.
Tomlinson, M.
Field, S.
Honikman, S.
author_sort van Heyningen, T.
collection PubMed
description PURPOSE. The burden of common perinatal mental disorders (CPMD) in low-and-middle-income countries is substantially higher than high-income countries, with low levels of detection, service provision and treatment in resource-constrained settings. We describe the development of an ultra-short screening tool to detect antenatal depression, anxiety disorders and maternal suicidal ideation. METHODS. A sample of 376 women was recruited at a primary-level obstetric clinic. Five depression and anxiety symptom-screening questionnaires, demographics and psychosocial risk questionnaires were administered. All participants were assessed with the Mini-International Neuropsychiatric Interview (MINI), a structured, diagnostic interview. Screening tool items were analysed against diagnostic data using multiple logistic regression and receiver operating curve (ROC) analysis. RESULTS. The prevalence of MINI-defined major depressive episode (MDE) and/or anxiety disorders was 33%. Overall, 18% of participants expressed suicidal ideation and behaviour, 54% of these had no depression or anxiety diagnosis. Multiple logistic regression identified four screening items that were independently predictive of MDE and anxiety disorders, investigating depressed mood, anhedonia, anxiety symptoms and suicidal ideation. ROC analysis of these combined items yielded an area under the curve of 0.83 (95% CI 0.78–0.88). A cut-off score of 2 or more offered a sensitivity of 78% and specificity of 82%. CONCLUSION. This novel screening tool is the first measure of CPMD developed in South Africa to include depressed mood, anxiety symptoms and suicidal ideation. While the tool requires further investigation, it may be useful for the early identification of mental health symptoms and morbidity in the perinatal period.
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spelling pubmed-67963222019-10-29 The development of an ultra-short, maternal mental health screening tool in South Africa van Heyningen, T. Myer, L. Tomlinson, M. Field, S. Honikman, S. Glob Ment Health (Camb) Original Research Paper PURPOSE. The burden of common perinatal mental disorders (CPMD) in low-and-middle-income countries is substantially higher than high-income countries, with low levels of detection, service provision and treatment in resource-constrained settings. We describe the development of an ultra-short screening tool to detect antenatal depression, anxiety disorders and maternal suicidal ideation. METHODS. A sample of 376 women was recruited at a primary-level obstetric clinic. Five depression and anxiety symptom-screening questionnaires, demographics and psychosocial risk questionnaires were administered. All participants were assessed with the Mini-International Neuropsychiatric Interview (MINI), a structured, diagnostic interview. Screening tool items were analysed against diagnostic data using multiple logistic regression and receiver operating curve (ROC) analysis. RESULTS. The prevalence of MINI-defined major depressive episode (MDE) and/or anxiety disorders was 33%. Overall, 18% of participants expressed suicidal ideation and behaviour, 54% of these had no depression or anxiety diagnosis. Multiple logistic regression identified four screening items that were independently predictive of MDE and anxiety disorders, investigating depressed mood, anhedonia, anxiety symptoms and suicidal ideation. ROC analysis of these combined items yielded an area under the curve of 0.83 (95% CI 0.78–0.88). A cut-off score of 2 or more offered a sensitivity of 78% and specificity of 82%. CONCLUSION. This novel screening tool is the first measure of CPMD developed in South Africa to include depressed mood, anxiety symptoms and suicidal ideation. While the tool requires further investigation, it may be useful for the early identification of mental health symptoms and morbidity in the perinatal period. Cambridge University Press 2019-10-07 /pmc/articles/PMC6796322/ /pubmed/31662879 http://dx.doi.org/10.1017/gmh.2019.21 Text en © The Author(s) 2019 http://creativecommons.org/licenses/by/4.0/ This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Research Paper
van Heyningen, T.
Myer, L.
Tomlinson, M.
Field, S.
Honikman, S.
The development of an ultra-short, maternal mental health screening tool in South Africa
title The development of an ultra-short, maternal mental health screening tool in South Africa
title_full The development of an ultra-short, maternal mental health screening tool in South Africa
title_fullStr The development of an ultra-short, maternal mental health screening tool in South Africa
title_full_unstemmed The development of an ultra-short, maternal mental health screening tool in South Africa
title_short The development of an ultra-short, maternal mental health screening tool in South Africa
title_sort development of an ultra-short, maternal mental health screening tool in south africa
topic Original Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6796322/
https://www.ncbi.nlm.nih.gov/pubmed/31662879
http://dx.doi.org/10.1017/gmh.2019.21
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