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“There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India

Background: Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making proc...

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Autores principales: Bhattacharyya, Sanghita, Issac, Anns, Girase, Bhushan, Guha, Mayukhmala, Schellenberg, Joanna, Iqbal Avan, Bilal
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665146/
https://www.ncbi.nlm.nih.gov/pubmed/33182464
http://dx.doi.org/10.3390/ijerph17218283
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author Bhattacharyya, Sanghita
Issac, Anns
Girase, Bhushan
Guha, Mayukhmala
Schellenberg, Joanna
Iqbal Avan, Bilal
author_facet Bhattacharyya, Sanghita
Issac, Anns
Girase, Bhushan
Guha, Mayukhmala
Schellenberg, Joanna
Iqbal Avan, Bilal
author_sort Bhattacharyya, Sanghita
collection PubMed
description Background: Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making process at the district level, with a focus on the extent of local data-use for resource allocation for maternal and child health. Methods: Direct observations of key decision-making meetings and qualitative interviews with key informants were conducted in two districts in the State of West Bengal, India. Content analysis of the data maintained within the district health system was done to understand the types of data available and sharing mechanisms. This information was triangulated thematically based on WHO health system blocks. Results: There was no structured decision-making process and only limited inter-departmental data-sharing. Data on all 21 issues discussed in the district decision-making meetings observed were available within the information systems. Yet indicators for only nine issues—such as institutional delivery and immunisation services were discussed. Discussions about infrastructure and supplies were not supported by data, and planning targets were not linked to health outcomes. Conclusion: Existing local data is highly under-used for decision-making at the district level. There is strong potential for better interaction between departments and better use of data for priority-setting, planning and follow-up.
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spelling pubmed-76651462020-11-14 “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India Bhattacharyya, Sanghita Issac, Anns Girase, Bhushan Guha, Mayukhmala Schellenberg, Joanna Iqbal Avan, Bilal Int J Environ Res Public Health Article Background: Effective coordination among multiple departments, including data-sharing, is needed for sound decision-making for health services. India has a district planning process involving departments for local resource-allocation based on shared data. This study assesses the decision-making process at the district level, with a focus on the extent of local data-use for resource allocation for maternal and child health. Methods: Direct observations of key decision-making meetings and qualitative interviews with key informants were conducted in two districts in the State of West Bengal, India. Content analysis of the data maintained within the district health system was done to understand the types of data available and sharing mechanisms. This information was triangulated thematically based on WHO health system blocks. Results: There was no structured decision-making process and only limited inter-departmental data-sharing. Data on all 21 issues discussed in the district decision-making meetings observed were available within the information systems. Yet indicators for only nine issues—such as institutional delivery and immunisation services were discussed. Discussions about infrastructure and supplies were not supported by data, and planning targets were not linked to health outcomes. Conclusion: Existing local data is highly under-used for decision-making at the district level. There is strong potential for better interaction between departments and better use of data for priority-setting, planning and follow-up. MDPI 2020-11-09 2020-11 /pmc/articles/PMC7665146/ /pubmed/33182464 http://dx.doi.org/10.3390/ijerph17218283 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Bhattacharyya, Sanghita
Issac, Anns
Girase, Bhushan
Guha, Mayukhmala
Schellenberg, Joanna
Iqbal Avan, Bilal
“There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title_full “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title_fullStr “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title_full_unstemmed “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title_short “There Is No Link Between Resource Allocation and Use of Local Data”: A Qualitative Study of District-Based Health Decision-Making in West Bengal, India
title_sort “there is no link between resource allocation and use of local data”: a qualitative study of district-based health decision-making in west bengal, india
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7665146/
https://www.ncbi.nlm.nih.gov/pubmed/33182464
http://dx.doi.org/10.3390/ijerph17218283
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