Evidence map›Paper›PMID 31174516›Full record

ArticleBMC health services research2019

Medical expenditure for middle-aged and elderly in Beijing.

Chenjin Ma, Yan Jiang, Yang Li, Yuming Zhang, Xiaojun Wang, Shuangge Ma, Yu Wang

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 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 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.

Chenjin MaCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Yan JiangCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Yang LiCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Yuming ZhangCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Xiaojun WangCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Shuangge MaCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China.
Yu WangCenter for Applied Statistics, Renmin University of China, 59 Zhongguancun Ave., Beijing, 100872, China. abyuer@sina.com.ORCID http://orcid.org/0000-0002-8009-9076

Funding

Yale Clinical and Translational Science Award (U Component)UL1TR001863 · NCATS · YALE UNIVERSITY · PI John H. Krystal, LUCILA OHNO-MACHADO · 2016 to 2026
$102.9M
NCATS NIH HHS UL1 TR001863the MOE Project of Key Research Institute of Humanities and Social Sciences at Universities 16JJD910002
6 · The paper itself

Abstract

backgroundHigh medical expenditures serve as a major obstacle for many people trying to access healthcare. Our goals are to provide an updated and comprehensive description of each category of medical expenditure in inpatient and outpatient treatment, and to identify factors associated with medical expenditures.

methodsA survey of the middle-aged and elderly was conducted in August 2016 in Beijing, China. Data were collected from 808 random samples. Each participant had reported at least one inpatient or outpatient treatment episode and was 45 years old or older, were collected. Chi-squared tests, t-tests, multivariate analysis, and a linear regression were conducted in the data analysis.

resultsA total of 452 and 734 subjects had at least one inpatient and outpatient treatment, respectively. Even though insurance covered a significant amount of the total cost, the remaining out-of-pocket cost was still high, possibly resulting in financial difficulties for a number of the subjects. Demographic and socioeconomic factors were found to be associated with various costs.

conclusionsOur findings suggest that the government may need to further adjust health care and health insurance systems to alleviate financial burdens caused by illness and improve the effective utilization of healthcare services.

Indexed as

AgedBeijingFemaleHealth ExpendituresHealth Services for the AgedHealth SurveysHumansMaleMedical AssistanceMiddle AgedNational Health ProgramsSocioeconomic FactorsChinaFinancial burdenMedical expenditureMiddle-aged and elderlySurvey

Identifiers

PMID31174516
PMCPMC6554908

What OpenQuestion holds

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LicenceCC BY
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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.