Evidence map›Paper›PMID 31701787›Full record

ArticleInquiry : a journal of medical care organization, provision and financing

Factors Associated With Hospitalization Costs of Coronary Heart Disease in Township Hospitals in Rural China.

Qun Wang, Shuo Zhang, Yaling Wang, Xichun Zhang, Ying Zhang

Abstract read
In one paragraph

Article in Inquiry : a journal of medical care organization, provision and financing. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Review
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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

5 authors.

Qun WangDalian University of Technology, China.
Shuo ZhangDalian University of Technology, China.
Yaling WangAffiliated Fuyang Hospital of Anhui Medical University, China.
Xichun ZhangAdministration Office of New Rural Cooperative Medical System in Liaoning, Shenyang, China.
Ying ZhangDalian Medical University, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In large proportions of rural areas in many developing countries, health care delivery system is less developed and is less likely to be equipped to conduct sophisticated treatment for coronary heart disease (CHD) patients locally. This study aims at describing the status quo of and exploring factors associated with hospitalization costs of CHD in township hospitals where only drug therapy was available for CHD conditions. We collected data of inpatients with CHD from discharge records from 10 township hospitals in rural Liaoning from December 2013 to December 2014. We used multilevel linear regression to analyze the factors associated with CHD hospitalization costs. A total of 4635 inpatients were included in the analysis. We found that the average hospitalization costs were 6249.97 RMB (US$1012.47) with the average of 8.89 days of hospitalization in township hospitals in Liaoning. Age, gender, length of stay, the number of times of admissions, by which route was hospitalized, and type of CHD were all the factors significantly associated with hospitalization costs of CHD in township hospitals. The factors associated with hospitalization costs of CHD in township hospitals in rural China showed some different features from the existing studies. When the government designs the related policy, the policy makers need to consider the specific feature of hospitalization costs of CHD in township hospitals in rural areas.

Indexed as

Hospital CostsRural Health ServicesAdultAgedAged, 80 and overChinaCoronary DiseaseFemaleHospitalizationHumansInpatientsLength of StayMaleMiddle Agedchinacoronary heart diseasehospitalization costsruraltownship hospitals

Identifiers

PMID31701787
PMCPMC6843734

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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.