Evidence map›Paper›PMID 38978095›Full record

ArticleHealth research policy and systems2024

Effectiveness of public health spending: Investigating the moderating role of governance using partial least squares structural equation modelling (PLS-SEM).

Wa Ntita Serge Kabongo, Josue Mbonigaba

Abstract read
In one paragraph

Article in Health research policy and systems, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

2 authors.

Wa Ntita Serge KabongoSchool of Accounting, Economics and Finance, University of KwaZulu-Natal, 15 University Road, Westville, 4001, Durban, South Africa.
Josue MbonigabaSchool of Accounting, Economics and Finance, University of KwaZulu-Natal, 15 University Road, Westville, 4001, Durban, South Africa. mbonigaba@ukzn.ac.za.ORCID http://orcid.org/0000-0002-6014-233X

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe link between public health spending (PHS) and population health outcomes (PHO) has been extensively studied. However, in sub-Saharan Africa (SSA), the moderating effects of governance in this relationship are little known. Furthermore, studies have focused on mortality as the main health outcome. This study contributes to this literature by investigating the moderating role of governance in the relationship by simultaneously assessing three dimensions of governance (corruption control, government effectiveness and voice accountability) using disability-adjusted life years (DALYs) as a measure of outcomes.

methodsThe study applies the two-stage moderation approach using partial least squares structural equation modelling (PLS-SEM) to panel data from 43 SSA nations from 2013 to 2019. The study also uses domestic general government health expenditure (DGGHE) as an independent variable and disability-adjusted life years (DALY) as the dependent variable in this relationship.

resultsThe analysis reveals that DGGHE affects DALY negatively and that governance improves the effect of DGGHE on DALY, with bigger improvements among countries with worse governance.

conclusionThese findings provide evidence that good governance is crucial to the effectiveness of PHS in SSA nations. Sub-Saharan Africa (SSA) countries should improve governance to improve population health.

Indexed as

Health ExpendituresPublic HealthQuality-Adjusted Life YearsAfrica South of the SaharaFinancing, GovernmentGovernmentHumansLatent Class AnalysisLeast-Squares AnalysisMortalityPersons with DisabilitiesPopulation HealthGovernanceModeration analysisPLS-SEMPopulation health outcomesPublic health spending

Identifiers

PMID38978095
PMCPMC11229197

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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.