Evidence map›Paper›PMID 29338028›Full record

ArticlePloS one2018

Does providing more services increase the primary hospitals' revenue? An assessment of national essential medicine policy based on 2,675 counties in China.

Fei Chen, Min Yang, Qian Li, Jay Pan, Xiaosong Li, Qun Meng

Abstract read
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Fei ChenWest China School of Public Health, Sichuan University, Chengdu, Sichuan, China.
Min YangWest China Research Centre for Rural Health Development, Sichuan University, Chengdu, Sichuan, China.ORCID 0000-0002-6897-2725
Qian LiWest China Research Centre for Rural Health Development, Sichuan University, Chengdu, Sichuan, China.
Jay PanWest China School of Public Health, Sichuan University, Chengdu, Sichuan, China.
Xiaosong LiWest China School of Public Health, Sichuan University, Chengdu, Sichuan, China.
Qun MengCentre for Health Information and Statistics, National Health and Family Planning Commission of China, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo understand whether the increased outpatient service provision (OSP) brings in enough additional income (excluding income from essential medicine) for primary hospitals (INCOME) to compensate for reduced costs of medicine.

methodsThe two outcomes, annual OSP and INCOME for the period of 2008-2012, were collected from 34,506 primary hospitals in 2,675 counties in 31 provinces in China by the national surveillance system. The data had a four-level hierarchical structure; time points were nested within primary hospital, hospitals within county, and counties within province. We fitted bivariate five-level random effects regression models to examine correlations between OSP and INCOME in terms of their mean values and dose-response effects of the essential medicine policy (EMP). We adjusted for the effects of time period and selected hospital resources.

findingsThe estimated correlation coefficients between the two outcomes' mean values were strongly positive among provinces (r = 0.910), moderately positive among counties (r = 0.380), and none among hospitals (r = 0.002) and time (r = 0.007). The correlation between their policy effects was weakly positive among provinces (r = 0.234), but none at the county and hospital levels. However, there were markedly negative correlation coefficients between the mean and policy effects at -0.328 for OSP and -0.541 for INCOME at the hospital level.

conclusionThere was no evidence to suggest an association between the two outcomes in terms of their mean values and dose-response effects of EMP at the hospital level. This indicated that increased OSP did not bring enough additional INCOME. Sustainable mechanisms to compensate primary hospitals are needed.

Indexed as

Economics, HospitalChinaDrugs, EssentialHealth Care ReformHealth Care SurveysHealth PolicyHealth ResourcesHospitalsHumansModels, EconomicOutcome Assessment, Health CareDrugs, Essential

Identifiers

PMID29338028
PMCPMC5770050

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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.