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Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making
BACKGROUND: In 2011, the Ministry of Health in Malawi developed and institutionalized a resource-tracking process, known as resource mapping (RM), to collect information on planned funding flows across the health sector to support resource allocation and mobilization decisions. We analyze the RM pro...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Global Health: Science and Practice
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691869/ https://www.ncbi.nlm.nih.gov/pubmed/34933976 http://dx.doi.org/10.9745/GHSP-D-21-00232 |
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author | Yoon, Ian Twea, Pakwanja Heung, Stephanie Mohan, Sakshi Mandalia, Nikhil Razzaq, Saadiya Berman, Leslie Brady, Eoghan Gunda, Andrews Manthalu, Gerald |
author_facet | Yoon, Ian Twea, Pakwanja Heung, Stephanie Mohan, Sakshi Mandalia, Nikhil Razzaq, Saadiya Berman, Leslie Brady, Eoghan Gunda, Andrews Manthalu, Gerald |
author_sort | Yoon, Ian |
collection | PubMed |
description | BACKGROUND: In 2011, the Ministry of Health in Malawi developed and institutionalized a resource-tracking process, known as resource mapping (RM), to collect information on planned funding flows across the health sector to support resource allocation and mobilization decisions. We analyze the RM process and tools and describe key uses of the data for health financing decision making to achieve universal health coverage (UHC). METHODS: We applied a case study approach, written as a collaboration between policy makers who have led the RM process in Malawi and the implementation team who have developed tools, collected data, and reported results over the period. It draws on our experiences in conducting RM in Malawi to document the RM process and data, key uses of data, implementation challenges, and lessons learned. We conducted a gray literature review to understand rounds of RM in which we did not participate. Finally, we conducted a search of published literature to situate our work in the international health resource-tracking literature. RESULTS: The RM exercise in Malawi is iteratively designed around the needs of the end users and policy priorities of the government, which in turn drives institutionalization of the exercise. We describe 4 ways in which RM data has been used, including national and district planning and budgeting; prioritization and coordination of existing funds by estimating resource availability; mobilization of new resources by conducting financial gap analysis against costed national strategic plans; and generation of evidence to support the national response to the coronavirus disease 2019 pandemic. DISCUSSION: To achieve UHC goals in Malawi, RM has equipped the government and development partners with critical data used for resource mobilization and coordination decisions. Lessons learned from RM in Malawi may be applicable to other countries starting or refining their own health resource-tracking exercise. |
format | Online Article Text |
id | pubmed-8691869 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Global Health: Science and Practice |
record_format | MEDLINE/PubMed |
spelling | pubmed-86918692021-12-31 Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making Yoon, Ian Twea, Pakwanja Heung, Stephanie Mohan, Sakshi Mandalia, Nikhil Razzaq, Saadiya Berman, Leslie Brady, Eoghan Gunda, Andrews Manthalu, Gerald Glob Health Sci Pract Original Article BACKGROUND: In 2011, the Ministry of Health in Malawi developed and institutionalized a resource-tracking process, known as resource mapping (RM), to collect information on planned funding flows across the health sector to support resource allocation and mobilization decisions. We analyze the RM process and tools and describe key uses of the data for health financing decision making to achieve universal health coverage (UHC). METHODS: We applied a case study approach, written as a collaboration between policy makers who have led the RM process in Malawi and the implementation team who have developed tools, collected data, and reported results over the period. It draws on our experiences in conducting RM in Malawi to document the RM process and data, key uses of data, implementation challenges, and lessons learned. We conducted a gray literature review to understand rounds of RM in which we did not participate. Finally, we conducted a search of published literature to situate our work in the international health resource-tracking literature. RESULTS: The RM exercise in Malawi is iteratively designed around the needs of the end users and policy priorities of the government, which in turn drives institutionalization of the exercise. We describe 4 ways in which RM data has been used, including national and district planning and budgeting; prioritization and coordination of existing funds by estimating resource availability; mobilization of new resources by conducting financial gap analysis against costed national strategic plans; and generation of evidence to support the national response to the coronavirus disease 2019 pandemic. DISCUSSION: To achieve UHC goals in Malawi, RM has equipped the government and development partners with critical data used for resource mobilization and coordination decisions. Lessons learned from RM in Malawi may be applicable to other countries starting or refining their own health resource-tracking exercise. Global Health: Science and Practice 2021-12-31 /pmc/articles/PMC8691869/ /pubmed/34933976 http://dx.doi.org/10.9745/GHSP-D-21-00232 Text en © Yoon et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International License (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly cited. To view a copy of the license, visit https://creativecommons.org/licenses/by/4.0/. When linking to this article, please use the following permanent link: https://doi.org/10.9745/GHSP-D-21-00232 |
spellingShingle | Original Article Yoon, Ian Twea, Pakwanja Heung, Stephanie Mohan, Sakshi Mandalia, Nikhil Razzaq, Saadiya Berman, Leslie Brady, Eoghan Gunda, Andrews Manthalu, Gerald Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title | Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title_full | Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title_fullStr | Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title_full_unstemmed | Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title_short | Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making |
title_sort | health sector resource mapping in malawi: sharing the collection and use of budget data for evidence-based decision making |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8691869/ https://www.ncbi.nlm.nih.gov/pubmed/34933976 http://dx.doi.org/10.9745/GHSP-D-21-00232 |
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