Evidence map›Paper›PMID 29145237›Full record

ArticleMedicine2017

The impact of the government health funding on prescribing behaviors in community health institutions in China.

Gang Sun, Zuxun Lu, Yong Gan, Xiaoxin Dong, Yongbin Li, Yunxia Wang, Liqing Li

Abstract read
In one paragraph

Article in Medicine, 2017. 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

7 authors.

Gang SunaDepartment of Health Management, School of Health Management, Southern Medical University, Guangzhou bDepartment of Social Medicine & Health Management, School of Public Health, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, P.R. China.
Zuxun Lu
Yong Gan
Xiaoxin Dong
Yongbin Li
Yunxia Wang
Liqing Li

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Government health funding (GHF) is a cosmopolitan problem. It is especially conspicuous in China, where drug sales become a main source of medical institutions' incomes due to limited GHF. This is well known as China's "drug maintain medical institutions (DMMIs)" system which results directly in very high use of antibiotics, injections, and corticosteroids. However, few statistical data existed in China on the association between the GHF and the prevalence of inappropriate drug prescribing, despite widespread acknowledgment of its existence.A multistage sampling strategy was employed to select 442,100 prescriptions written between 2007 and 2011 by urban community health (CH) institutions and check the GHF in 36 key cities (districts) across China. This study examined the association between the GHF and the prevalence of inappropriate drug prescribing, which differs somewhat from previous studies.The data suggested that from 2007 to 2011, with the increase of GHF, prescribing behaviors (PB) gradually improved on the whole although doctors still prescribed a few more drugs than the recommendations from World Health Organization (WHO). This study found that there is significant negative association between GHF and main indicators of PB (correlation coefficients more than 0.5).The findings implied that government should further perfect the compensation mechanism to medical institutions for gradually weakening the compensation function of drug sales in medical institutions.

Indexed as

Community Health CentersFinancing, GovernmentHealthcare FinancingPractice Patterns, Physicians'China

Identifiers

PMID29145237
PMCPMC5704782

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

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.