Evidence map›Paper›PMID 34933976›Full record

ArticleGlobal health, science and practice2021

Health Sector Resource Mapping in Malawi: Sharing the Collection and Use of Budget Data for Evidence-Based Decision Making.

Ian Yoon, Pakwanja Twea, Stephanie Heung, Sakshi Mohan, Nikhil Mandalia, Saadiya Razzaq, Leslie Berman, Eoghan Brady, Andrews Gunda, Gerald Manthalu

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Article in Global health, science and practice, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

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5citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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5 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Ian YoonClinton Health Access Initiative, Malawi. iyoon@clintonhealthaccess.org.
Pakwanja TweaMinistry of Health, Government of Malawi, Malawi.
Stephanie HeungClinton Health Access Initiative, Malawi.
Sakshi MohanMinistry of Health, Government of Malawi, Malawi.
Nikhil MandaliaMinistry of Health, Government of Malawi, Malawi.
Saadiya RazzaqClinton Health Access Initiative, Malawi.
Leslie BermanClinton Health Access Initiative, Malawi.
Eoghan BradyClinton Health Access Initiative, South Africa.
Andrews GundaClinton Health Access Initiative, Malawi.
Gerald ManthaluMinistry of Health, Government of Malawi, Malawi.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn 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).

methodsWe 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.

resultsThe 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.

Indexed as

COVID-19Health ResourcesDecision MakingHumansMalawiSARS-CoV-2

Identifiers

PMID34933976
PMCPMC8691869

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.