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Information systems for mental health in six low and middle income countries: cross country situation analysis

BACKGROUND: Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided. METHODS: With the aim of informing the dev...

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Autores principales: Upadhaya, Nawaraj, Jordans, Mark J. D., Abdulmalik, Jibril, Ahuja, Shalini, Alem, Atalay, Hanlon, Charlotte, Kigozi, Fred, Kizza, Dorothy, Lund, Crick, Semrau, Maya, Shidhaye, Rahul, Thornicroft, Graham, Komproe, Ivan H., Gureje, Oye
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037904/
https://www.ncbi.nlm.nih.gov/pubmed/27708697
http://dx.doi.org/10.1186/s13033-016-0094-2
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author Upadhaya, Nawaraj
Jordans, Mark J. D.
Abdulmalik, Jibril
Ahuja, Shalini
Alem, Atalay
Hanlon, Charlotte
Kigozi, Fred
Kizza, Dorothy
Lund, Crick
Semrau, Maya
Shidhaye, Rahul
Thornicroft, Graham
Komproe, Ivan H.
Gureje, Oye
author_facet Upadhaya, Nawaraj
Jordans, Mark J. D.
Abdulmalik, Jibril
Ahuja, Shalini
Alem, Atalay
Hanlon, Charlotte
Kigozi, Fred
Kizza, Dorothy
Lund, Crick
Semrau, Maya
Shidhaye, Rahul
Thornicroft, Graham
Komproe, Ivan H.
Gureje, Oye
author_sort Upadhaya, Nawaraj
collection PubMed
description BACKGROUND: Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided. METHODS: With the aim of informing the development and implementation of a mental health information sub-system that includes reliable and measurable indicators on mental health within the Health Management Information Systems (HMIS), a cross-country situation analysis of HMIS was conducted in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), participating in the ‘Emerging mental health systems in low and middle income countries’ (Emerald) research programme. A situation analysis tool was developed to obtain and chart information from documents in the public domain. In circumstances when information was inadequate, key government officials were contacted to verify the data collected. In this paper we compare the baseline policy context, human resources situation as well as the processes and mechanisms of collecting, verifying, reporting and disseminating mental health related HMIS data. RESULTS: The findings suggest that countries face substantial policy, human resource and health governance challenges for mental health HMIS, many of which are common across sites. In particular, the specific policies and plans for the governance and implementation of mental health data collection, reporting and dissemination are absent. Across sites there is inadequate infrastructure, few HMIS experts, and inadequate technical support and supervision to junior staff, particularly in the area of mental health. Nonetheless there are also strengths in existing HMIS where a few mental health morbidity, mortality, and system level indicators are collected and reported. CONCLUSIONS: Our study indicates the need for greater technical and resources input to strengthen routine HMIS and develop standardized HMIS indicators for mental health, focusing in particular on indicators of coverage and quality to facilitate the implementation of the WHO mental health action plan 2013–2020.
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spelling pubmed-50379042016-10-05 Information systems for mental health in six low and middle income countries: cross country situation analysis Upadhaya, Nawaraj Jordans, Mark J. D. Abdulmalik, Jibril Ahuja, Shalini Alem, Atalay Hanlon, Charlotte Kigozi, Fred Kizza, Dorothy Lund, Crick Semrau, Maya Shidhaye, Rahul Thornicroft, Graham Komproe, Ivan H. Gureje, Oye Int J Ment Health Syst Research BACKGROUND: Research on information systems for mental health in low and middle income countries (LMICs) is scarce. As a result, there is a lack of reliable information on mental health service needs, treatment coverage and the quality of services provided. METHODS: With the aim of informing the development and implementation of a mental health information sub-system that includes reliable and measurable indicators on mental health within the Health Management Information Systems (HMIS), a cross-country situation analysis of HMIS was conducted in six LMICs (Ethiopia, India, Nepal, Nigeria, South Africa and Uganda), participating in the ‘Emerging mental health systems in low and middle income countries’ (Emerald) research programme. A situation analysis tool was developed to obtain and chart information from documents in the public domain. In circumstances when information was inadequate, key government officials were contacted to verify the data collected. In this paper we compare the baseline policy context, human resources situation as well as the processes and mechanisms of collecting, verifying, reporting and disseminating mental health related HMIS data. RESULTS: The findings suggest that countries face substantial policy, human resource and health governance challenges for mental health HMIS, many of which are common across sites. In particular, the specific policies and plans for the governance and implementation of mental health data collection, reporting and dissemination are absent. Across sites there is inadequate infrastructure, few HMIS experts, and inadequate technical support and supervision to junior staff, particularly in the area of mental health. Nonetheless there are also strengths in existing HMIS where a few mental health morbidity, mortality, and system level indicators are collected and reported. CONCLUSIONS: Our study indicates the need for greater technical and resources input to strengthen routine HMIS and develop standardized HMIS indicators for mental health, focusing in particular on indicators of coverage and quality to facilitate the implementation of the WHO mental health action plan 2013–2020. BioMed Central 2016-09-26 /pmc/articles/PMC5037904/ /pubmed/27708697 http://dx.doi.org/10.1186/s13033-016-0094-2 Text en © The Author(s) 2016 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Upadhaya, Nawaraj
Jordans, Mark J. D.
Abdulmalik, Jibril
Ahuja, Shalini
Alem, Atalay
Hanlon, Charlotte
Kigozi, Fred
Kizza, Dorothy
Lund, Crick
Semrau, Maya
Shidhaye, Rahul
Thornicroft, Graham
Komproe, Ivan H.
Gureje, Oye
Information systems for mental health in six low and middle income countries: cross country situation analysis
title Information systems for mental health in six low and middle income countries: cross country situation analysis
title_full Information systems for mental health in six low and middle income countries: cross country situation analysis
title_fullStr Information systems for mental health in six low and middle income countries: cross country situation analysis
title_full_unstemmed Information systems for mental health in six low and middle income countries: cross country situation analysis
title_short Information systems for mental health in six low and middle income countries: cross country situation analysis
title_sort information systems for mental health in six low and middle income countries: cross country situation analysis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5037904/
https://www.ncbi.nlm.nih.gov/pubmed/27708697
http://dx.doi.org/10.1186/s13033-016-0094-2
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