Evidence map›Paper›PMID 39963541›Full record

ArticleRisk management and healthcare policy2025

Transforming Healthcare Through Value: A Fiscal Perspective on OECD Countries.

Bo Tang, Zhi Li, Yumin Liu, Fan Zhu

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

4 authors.

Bo TangSchool of Finance and Tourism, Chongqing Vocational Institute of Engineering, Chongqing, People's Republic of China.ORCID 0000-0001-7971-2745
Zhi Li *School of Public Policy and Administration, Chongqing University, Chongqing, People's Republic of China.
Yumin Liu *Medical Records Management Department, Chongqing University Cancer Hospital, Chongqing, People's Republic of China.
Fan Zhu *School of Economic Management and Public Affairs, Chongqing Jianzhu College, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Escalating healthcare expenditures pose a significant challenge to global fiscal sustainability. Value-based healthcare offers a strategy to improve health outcomes while controlling costs. This study examines the fiscal impacts of value-based healthcare in OECD countries, providing evidence of its role in enhancing fiscal efficiency. Methods: This study employs three key approaches. A value-based healthcare index was constructed using the entropy weight method to measure performance across 32 OECD countries from 2000 to 2019. Econometric analysis using panel data models explored the fiscal effects of value-based healthcare. Contextual examination further assessed the interactions between value-based healthcare and factors such as government health expenditure, population aging, and elderly disease burden. Results: The results show that higher value-based healthcare performance improves budget balance, reduces debt burden, and enhances fiscal sustainability. Interaction effects highlight the importance of government health expenditure and demographic factors in influencing fiscal outcomes. Conclusion: This study demonstrates the fiscal benefits of value-based healthcare, emphasizing its potential to address healthcare inefficiencies and promote sustainable public finances. Policymakers should integrate value-based healthcare principles into healthcare systems while considering country-specific contexts to maximize long-term impact.

Indexed as

empirical analysisfiscal effectshealth economicsOECD countriespublic financevalue-based healthcare

Identifiers

PMID39963541
PMCPMC11831919

What OpenQuestion holds

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LicenceCC BY-NC
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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.