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Perinatal mental health in India: protocol for a validation and cohort study
BACKGROUND: Common mental disorders (CMD) are among the largest contributors to global maternal morbidity and mortality. Although research on perinatal mental health in India has grown in recent years, important evidence gaps remain, especially regarding CMD. Our study aims to improve understanding...
Autores principales: | , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498097/ https://www.ncbi.nlm.nih.gov/pubmed/34622290 http://dx.doi.org/10.1093/pubmed/fdab162 |
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author | Fellmeth, G Kishore, M T Verma, A Desai, G Bharti, O Kanwar, P Singh, S Thippeswamy, H Chandra, P S Kurinczuk, J J Nair, M Alderdice, F |
author_facet | Fellmeth, G Kishore, M T Verma, A Desai, G Bharti, O Kanwar, P Singh, S Thippeswamy, H Chandra, P S Kurinczuk, J J Nair, M Alderdice, F |
author_sort | Fellmeth, G |
collection | PubMed |
description | BACKGROUND: Common mental disorders (CMD) are among the largest contributors to global maternal morbidity and mortality. Although research on perinatal mental health in India has grown in recent years, important evidence gaps remain, especially regarding CMD. Our study aims to improve understanding of CMD among perinatal and non-perinatal women of reproductive age across two settings in India: Bangalore (Karnataka) and Tanda (Himachal Pradesh). METHODS: The study is embedded within the Maternal and Perinatal Health Research Collaboration India (MaatHRI). This mixed-methods observational study comprises three consecutive phases: (i) focus group discussions and individual interviews to explore women’s knowledge and seek feedback on CMD screening tools; (ii) validation of CMD screening tools; and (iii) prospective cohort study to identify CMD incidence, prevalence and risk factors among perinatal and non-perinatal women. Results of the three phases will be analyzed using inductive thematic analysis, psychometric analysis and multivariable regression analysis, respectively. CONCLUSION: Improving understanding, detection and management of CMD among women is key to improving women’s health and promoting gender equality. This study will provide evidence of CMD screening tools for perinatal and non-perinatal women in two diverse Indian settings, produce data on CMD prevalence, incidence and risk factors and enhance understanding of the specific contribution of the perinatal state to CMD. |
format | Online Article Text |
id | pubmed-8498097 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-84980972021-10-08 Perinatal mental health in India: protocol for a validation and cohort study Fellmeth, G Kishore, M T Verma, A Desai, G Bharti, O Kanwar, P Singh, S Thippeswamy, H Chandra, P S Kurinczuk, J J Nair, M Alderdice, F J Public Health (Oxf) Short Report BACKGROUND: Common mental disorders (CMD) are among the largest contributors to global maternal morbidity and mortality. Although research on perinatal mental health in India has grown in recent years, important evidence gaps remain, especially regarding CMD. Our study aims to improve understanding of CMD among perinatal and non-perinatal women of reproductive age across two settings in India: Bangalore (Karnataka) and Tanda (Himachal Pradesh). METHODS: The study is embedded within the Maternal and Perinatal Health Research Collaboration India (MaatHRI). This mixed-methods observational study comprises three consecutive phases: (i) focus group discussions and individual interviews to explore women’s knowledge and seek feedback on CMD screening tools; (ii) validation of CMD screening tools; and (iii) prospective cohort study to identify CMD incidence, prevalence and risk factors among perinatal and non-perinatal women. Results of the three phases will be analyzed using inductive thematic analysis, psychometric analysis and multivariable regression analysis, respectively. CONCLUSION: Improving understanding, detection and management of CMD among women is key to improving women’s health and promoting gender equality. This study will provide evidence of CMD screening tools for perinatal and non-perinatal women in two diverse Indian settings, produce data on CMD prevalence, incidence and risk factors and enhance understanding of the specific contribution of the perinatal state to CMD. Oxford University Press 2021-10-08 /pmc/articles/PMC8498097/ /pubmed/34622290 http://dx.doi.org/10.1093/pubmed/fdab162 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of Faculty of Public Health. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) ), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Short Report Fellmeth, G Kishore, M T Verma, A Desai, G Bharti, O Kanwar, P Singh, S Thippeswamy, H Chandra, P S Kurinczuk, J J Nair, M Alderdice, F Perinatal mental health in India: protocol for a validation and cohort study |
title | Perinatal mental health in India: protocol for a validation and cohort study |
title_full | Perinatal mental health in India: protocol for a validation and cohort study |
title_fullStr | Perinatal mental health in India: protocol for a validation and cohort study |
title_full_unstemmed | Perinatal mental health in India: protocol for a validation and cohort study |
title_short | Perinatal mental health in India: protocol for a validation and cohort study |
title_sort | perinatal mental health in india: protocol for a validation and cohort study |
topic | Short Report |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8498097/ https://www.ncbi.nlm.nih.gov/pubmed/34622290 http://dx.doi.org/10.1093/pubmed/fdab162 |
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