Using economic analysis to inform health resource allocation: lessons from Malawi.

Cost-effectiveness analysis Health benefits packages Health efficiency Malawi Prioritization Resource allocation

Journal

Discover health systems
ISSN: 2731-7501
Titre abrégé: Discov Health Syst
Pays: Switzerland
ID NLM: 9918609289006676

Informations de publication

Date de publication:
2024
Historique:
received: 07 12 2023
accepted: 04 07 2024
medline: 18 7 2024
pubmed: 18 7 2024
entrez: 18 7 2024
Statut: ppublish

Résumé

Despite making remarkable strides in improving health outcomes, Malawi faces concerns about sustaining the progress achieved due to limited fiscal space and donor dependency. The imperative for efficient health spending becomes evident, necessitating strategic allocation of resources to areas with the greatest impact on mortality and morbidity. Health benefits packages hold promise in supporting efficient resource allocation. However, despite defining these packages over the last two decades, their development and implementation have posed significant challenges for Malawi. In response, the Malawian government, in collaboration with the Thanzi la Onse Programme, has developed a set of tools and frameworks, primarily based on cost-effectiveness analysis, to guide the design of health benefits packages likely to achieve national health objectives. This review provides an overview of these tools and frameworks, accompanied by other related analyses, aiming to better align health financing with health benefits package prioritization. The paper is organized around five key policy questions facing decision-makers: (i) What interventions should the health system deliver? (ii) How should resources be allocated geographically? (iii) How should investments in health system inputs be prioritized? (iv) How should equity considerations be incorporated into resource allocation decisions? and (v) How should evidence generation be prioritized to support resource allocation decisions (guiding research)? The tools and frameworks presented here are intended to be compatible for use in diverse and often complex healthcare systems across Africa, supporting the health resource allocation process as countries pursue Universal Health Coverage.

Identifiants

pubmed: 39022531
doi: 10.1007/s44250-024-00115-4
pii: 115
pmc: PMC11249770
doi:

Types de publication

Journal Article Review

Langues

eng

Pagination

48

Informations de copyright

© The Author(s) 2024.

Déclaration de conflit d'intérêts

Competing interestsThe authors declare no competing interests.

Auteurs

Megha Rao (M)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Dominic Nkhoma (D)

Health Economics and Policy Unit, Kamuzu University of Health Sciences, Lilongwe, Malawi.

Sakshi Mohan (S)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Pakwanja Twea (P)

Department of Planning and Policy, Ministry of Health, Lilongwe, Malawi.

Benson Chilima (B)

Public Health Institute of Malawi, Ministry of Health, Lilongwe, Malawi.

Joseph Mfutso-Bengo (J)

Health Economics and Policy Unit, Kamuzu University of Health Sciences, Lilongwe, Malawi.

Jessica Ochalek (J)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Timothy B Hallett (TB)

MRC Centre for Global Infectious Disease Analysis, Imperial College London, London, UK.

Andrew N Phillips (AN)

University College London, London, UK.

Finn McGuire (F)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Beth Woods (B)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Simon Walker (S)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Mark Sculpher (M)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Paul Revill (P)

Centre for Health Economics, University of York Heslington, Alcuin A Block, York, YO10 5DD UK.

Classifications MeSH