Evidence map›Paper›PMID 31752822›Full record

ArticleBMC health services research2019

Determinants of efficiency growth of county-level public hospitals-evidence from Chongqing, China.

Jing Liu, Beibei He, Xiaolan Xu, Leming Zhou, Jiang Li, Gongru Wang, Yingyao Chen

Abstract read
In one paragraph

Article in BMC health services research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

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3 · Its place in the literature

Who cites it

16 citing papers in PubMed.

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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

7 authors.

Jing LiuKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
Beibei HeHospital Management Institute, Fudan University, Shanghai, 200032, People's Republic of China.
Xiaolan XuDepartment of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
Leming ZhouDepartment of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
Jiang LiDepartment of Statistics and Development Research, Chongqing Health Information Center, Chongqing, 401120, People's Republic of China.
Gongru WangKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China.
Yingyao ChenKey Lab of Health Technology Assessment, National Health Commission, School of Public Health, Fudan University, Shanghai, 200032, People's Republic of China. yychen@shmu.edu.cn.

Funding

The Loan Project of the International Bank P126210
6 · The paper itself

Abstract

backgroundThe reform of county-level public hospitals is a breakthrough in the new era of healthcare reform in China and has attracted considerable attention since 2012. Continuous and efficient operations of hospital are primary concerns of this reform. To ensure the effectiveness of county-based intervention reform measures in Chongqing, it is significant to understand how hospital and county characteristics are associated with county-level public hospital efficiency due to significant development differences between counties. This study identifies the trajectory of hospital efficiency over time and determinants. It will also provide preliminary references for advancing reform.

methodsThis study employs data from the Chongqing Regional Health Information Platform, Chongqing Health and Family Planning Statistical Yearbook, and Chongqing Statistical Yearbook for 2012-2016. A three-level growth model is used to estimate the efficiency growth trajectories within the contexts of hospitals and counties.

resultsThe intra-hospital level factors that affect the initial efficiency include government financial assistance, daily charge per bed, total assets turnover, number of hospital healthcare technicians, and medical costs per 100-yuan medical income. Inter-hospital variance is explained by hospital type. Inter-county level factors affecting the growth rate include the number of healthcare technicians per 1000 people and population density of the county. The interaction effect of the number of hospital healthcare technicians, hospital type, and number of healthcare technicians per 1000 people on hospital efficiency growth is significant.

conclusionsThis study identifies determinants that contribute to efficiency changes in public county-hospitals over time by using a three-level growth model. The differences in efficiency are associated with intra-hospital, inter-hospital, and inter-county characteristics in Chongqing, which provides useful insight into government decision-making and the progress of reform. The stability and reasonable increase in the number of healthcare technicians in a county are the key factors that improve the efficiency. Further reform should focus on maternal and child healthcare hospitals for increasing investment and implementing government compensation.

Indexed as

ChinaEfficiency, OrganizationalHealth Care ReformHealth Services ResearchHospitals, PublicHumansChongqingCounty hospital efficiencyLongitudinal dataThree-level growth model

Identifiers

PMID31752822
PMCPMC6868819

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LicenceCC BY
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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.