Evidence map›Paper›PMID 39464374›Full record

ArticleWellcome open research2024

How does Public Financial Management (PFM) influence health system efficiency: A scoping review.

Anita Musiega, Benjamin Tsofa, Edwine Barasa

Abstract readScoping Review
In one paragraph

Article in Wellcome open research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Anita MusiegaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Nairobi, 00100, Kenya.ORCID https://orcid.org/0000-0001-6765-295X
Benjamin TsofaHealth Systems and Research Ethics Department, KEMRI-Wellcome Trust Research Programme, Kilifi, Kenya.ORCID https://orcid.org/0000-0003-1000-1771
Edwine BarasaHealth Economics Research Unit, KEMRI Wellcome Trust Research Programme, Nairobi, Nairobi, 00100, Kenya.

Funding

Wellcome Trust
6 · The paper itself

Abstract

Background: Effective Public Financial Management (PFM) approaches are imperative in the quest for efficiency in health service delivery. Reviews conducted in this area have assessed the impact of PFM approaches on health system efficiency but have left out the mechanisms through which PFM influences efficiency. This scoping review aims to synthesize evidence on the mechanisms by which PFM influences health system efficiency. Methods: We searched databases of PubMed and Google Scholar and websites of the World Health Organization (WHO), World Bank and Overseas Development Institute (ODI) for peer-reviewed and grey literature articles that provided data on the relationship between PFM and health system efficiency. Three reviewers screened the articles for eligibility with the inclusion criteria. Data on PFM and health system efficiency was charted and summarized. We then reported the mechanisms by which PFM influence efficiency. Results: PFM processes and structures influence health system efficiency by influencing; the alignment of resources to health system needs, the cost of inputs, the motivation of health workers, and the input mix. Conclusion: The entire budget process influences health system efficiency. However, most of the findings are drawn from studies that focused on aspects of the budget process. Studies that look at PFM in totality will help explore other cross-cutting issues within sections of the budget cycle; they will also bring out the relationship between the different phases of the budget cycle.

Indexed as

efficiencyhealth systemsPublic Financial Management

Identifiers

PMID39464374
PMCPMC11502999

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.