Evidence map›Paper›PMID 27647192›Full record

ArticleChinese medical journal2016

Research on 2041 Cases of High Inpatient Expenditure and Influence Factors during 3 Years in a Single Center.

Suo-Wei Wu, Qi Pan, Liang-Yu Wei, Chao Li, Qin Wang, Jing-Chen Song, Tong Chen

Abstract read
In one paragraph

Article in Chinese medical journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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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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

3 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.

Suo-Wei WuDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Qi PanDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Liang-Yu WeiDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Chao LiDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Qin WangDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Jing-Chen SongDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.
Tong ChenDepartment of Medical Administration, Beijing Hospital, Beijing 100730, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe study was to explore the causes of high inpatient expenditure through analyzing the distribution characteristics as well as the influence factors of high inpatient expenditure cases during 3 years within a Grade-A tertiary hospital through various aspects and multiple angles, thus identifying the major influence factors for high medical expenditure to develop further research.

methodsWe retrospectively studied 2041 inpatient cases which cost more than RMB 100,000 Yuan per case in a Grade-A tertiary hospital from 2013 to 2015. We analyzed the compositions of the medical cost to evaluate the major factors that cause the high inpatient expenditure. All the data and materials were collected from medical record system, and the statistical methods included t-test, variance of analysis, and multivariate linear regression.

resultsThe average cost of the 2,041 cases was RMB 152,173 Yuan for medicines and materials of medical costs, which respectively accounted for 33.03% and 32.32% of the total cost; and the average length of hospital stay was 28.39 days/person. Diseases of skeletal and muscular system, circulatory system, and tumor were the top three disease categories of high inpatient expenditure, which accounted for 39.00%, 33.46%, and 18.03%, respectively. Complications, criticality of the disease, gender of the patients, the occurrence of death, and the excessive length of hospital stay all had great impacts on average medical expenditure, while age, hospital infection, and surgery showed no significant impact on average medical cost.

conclusionsThe main factors for high inpatient expenditure included the inadequate use of high-value medicines and materials, lacking cost control measures within the hospital, the excessive length of hospital stay for inpatients, and the unnecessary treatment for the patients.

Indexed as

ChinaFemaleHealth ExpendituresHospitalizationHumansInpatientsLength of StayMaleMultivariate AnalysisRetrospective Studies

Identifiers

PMID27647192
PMCPMC5040019

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