Evidence map›Paper›PMID 38475844›Full record

ArticleHuman resources for health2024

Primary care providers' preferences for pay-for-performance programs: a discrete choice experiment study in Shandong China.

Wencai Zhang, Yanping Li, BeiBei Yuan, Dawei Zhu

Abstract read
In one paragraph

Article in Human resources for health, 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

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2 · The registry

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Wencai ZhangDong Fureng Institute of Economic and Social Development, Wuhan University, Luojia Hill, Wuhan, 430072, China.
Yanping LiEconomics and Management School, Wuhan University, Luojia Hill, Wuhan, 430072, China. ypli@whu.edu.cn.
BeiBei YuanChina Center for Health Development Studies, Peking University, No. 38 Yueyuan Road, Haidian District, Beijing, 100191, China.
Dawei ZhuChina Center for Health Development Studies, Peking University, No. 38 Yueyuan Road, Haidian District, Beijing, 100191, China. zhu_dawei@163.com.ORCID 0000-0003-0167-6603

Funding

National Natural Science Foundation of 72274006
6 · The paper itself

Abstract

backgroundPay-for-performance (P4P) schemes are commonly used to incentivize primary healthcare (PHC) providers to improve the quality of care they deliver. However, the effectiveness of P4P schemes can vary depending on their design. In this study, we aimed to investigate the preferences of PHC providers for participating in P4P programs in a city in Shandong province, China.

methodWe conducted a discrete choice experiment (DCE) with 882 PHC providers, using six attributes: type of incentive, whom to incentivize, frequency of incentive, size of incentive, the domain of performance measurement, and release of performance results. Mixed logit models and latent class models were used for the statistical analyses.

resultsOur results showed that PHC providers had a strong negative preference for fines compared to bonuses (- 1.91; 95%CI - 2.13 to - 1.69) and for annual incentive payments compared to monthly (- 1.37; 95%CI - 1.59 to - 1.14). Providers also showed negative preferences for incentive size of 60% of monthly income, group incentives, and non-release of performance results. On the other hand, an incentive size of 20% of monthly income and including quality of care in performance measures were preferred. We identified four distinct classes of providers with different preferences for P4P schemes. Class 2 and Class 3 valued most of the attributes differently, while Class 1 and Class 4 had a relatively small influence from most attributes.

conclusionP4P schemes that offer bonuses rather than fines, monthly rather than annual payments, incentive size of 20% of monthly income, paid to individuals, including quality of care in performance measures, and release of performance results are likely to be more effective in improving PHC performance. Our findings also highlight the importance of considering preference heterogeneity when designing P4P schemes.

Indexed as

IncomeReimbursement, IncentiveChinaHumansPrimary Health CareSalaries and Fringe BenefitsChinaDiscrete choice experimentPay for performancePreferencesPrimary healthcare

Identifiers

PMID38475844
PMCPMC10936064

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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.