Evidence map›Paper›PMID 36480236›Full record

ArticleHealth economics2023

The effect of health financing systems on health system outcomes: A cross-country panel analysis.

Jacopo Gabani, Sumit Mazumdar, Marc Suhrcke

Abstract read
In one paragraph

Article in Health economics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing papers in PubMed, 1 pooled it
–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

34 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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  20. Digital pulse: Social media reaction to South Africa's National Health Insurance implementation.African journal of primary health care & family medicine · 2025
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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

3 authors.

Jacopo GabaniCentre for Health Economics, University of York, York, UK.ORCID 0000-0001-7461-7300
Sumit MazumdarCentre for Health Economics, University of York, York, UK.
Marc SuhrckeCentre for Health Economics, University of York, York, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Several low- and middle-income countries are considering health financing system reforms to accelerate progress toward universal health coverage (UHC). However, empirical evidence of the effect of health financing systems on health system outcomes is scarce, partly because it is difficult to quantitatively capture the 'health financing system'. We assign country-year observations to one of three health financing systems (i.e., predominantly out-of-pocket, social health insurance (SHI) or government-financed), using clustering based on out-of-pocket, contributory SHI and non-contributory government expenditure, as a percentage of total health expenditures. We then estimate the effect of these different systems on health system outcomes, using fixed effects regressions. We find that transitions from OOP-dominant to government-financed systems improved most outcomes more than did transitions to SHI systems. Transitions to government financing increases life expectancy (+1.3 years, p < 0.05) and reduces under-5 mortality (-8.7%, p < 0.05) and catastrophic health expenditure incidence (-3.3 percentage points, p < 0.05). Results are robust to several sensitivity tests. It is more likely that increases in non-contributory government financing rather than SHI financing improve health system outcomes. Notable reasons include SHI's higher implementation costs and more limited coverage. These results may raise a warning for policymakers considering SHI reforms to reach UHC.

Indexed as

Healthcare FinancingMedical AssistanceFinancing, GovernmentHealth ExpendituresHumansInsurance, Healthhealth expenditurehealth financinghealth systemsocial health insuranceuniversal health coverage

Identifiers

PMID36480236
PMCPMC10107855

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Registered trials

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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.