Evidence map›Paper›PMID 32616035›Full record

ArticleBMC health services research2020

Profit distribution and managers' behaviour in vertical integrated medical delivery systems - an experimental economics study.

Yunque Bo, Miaojie Qi, Siyu Liu, Jiyu Cui, Youli Han

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Article in BMC health services research, 2020. 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

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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

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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

5 authors.

Yunque BoDepartment of Health Management and Policy, School of Public Health, Capital Medical University, NO 10, Xi Toutiao Rd Youanmenwai District, Beijing, 100069, China.
Miaojie QiDepartment of Health Management and Policy, School of Public Health, Capital Medical University, NO 10, Xi Toutiao Rd Youanmenwai District, Beijing, 100069, China.
Siyu LiuSchool of Health Humanities, Capital Medical University, Beijing, China.
Jiyu CuiDepartment of Health Management and Policy, School of Public Health, Capital Medical University, NO 10, Xi Toutiao Rd Youanmenwai District, Beijing, 100069, China.
Youli HanDepartment of Health Management and Policy, School of Public Health, Capital Medical University, NO 10, Xi Toutiao Rd Youanmenwai District, Beijing, 100069, China. hanyouli@ccmu.edu.cn.

Funding

National Natural Science Foundation of China 71403177
6 · The paper itself

Abstract

backgroundThe vertical integration of medical delivery systems (VIMDSs) is a reform direction both in China and worldwide. We conducted a controlled economic experiment to explore decision-making by managers of medical institutions with respect to profits and what influences the distribution mechanism in VIMDSs.

methodsStudents and hospital staff were recruited to make choices regarding the role of directors of institutions. z-Tree software was used to design the experimental program. Ninety-six subjects participated in the experiment. We gathered 479 valid contracts.

resultsOf the subjects, 66.39% chose flexible contracts. The median of the bidding distribution rate to community health service centres of all auctions was 18.50%. The final distribution rate was approximately 3 percentage points higher than the bidding distribution rate. The median effort level was 9.00. There was a significant correlation between the improvement rate and the choice of effort level (P<0.05) in flexible contracts.

conclusionsHospital managers have a preference for flexible contracts because of uncertainty in the medical system. A community health service centre director may behave perfunctorily by engaging in shading in the integration. Flexible contracts and sharing rates beyond the participants' expectations motivate managers to engage in more cooperative behaviours.

Indexed as

ChinaDelivery of Health Care, IntegratedHospital AdministratorsHumansExperimental economicsManager behaviourMedical delivery systemProfit distributionVertical integration

Identifiers

PMID32616035
PMCPMC7331245

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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.