Evidence map›Paper›PMID 33116998›Full record

ArticleRisk management and healthcare policy2020

Out-Patient Service and in-Patient Service: The Impact of Health Insurance on the Healthcare Utilization of Mid-Aged and Older Residents in Urban China.

Junqiang Han, Xiaodong Zhang, Yingying Meng

Abstract read
In one paragraph

Article in Risk management and healthcare policy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 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

3 authors.

Junqiang HanSchool of Public Management, South-Central University for Nationalities, Wuhan 430074, People's Republic of China.
Xiaodong ZhangCentre for Social Security Studies, Wuhan University, Wuhan 430072, People's Republic of China.ORCID 0000-0001-8211-0673
Yingying MengCentre for Social Security Studies, Wuhan University, Wuhan 430072, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMedical insurance is a disease risk-sharing mechanism that can improve residents' financial access to medical treatment and thus increase their utilization of health services. This paper aims to identify the impact of different kinds of medical insurances on the use of healthcare for Chinese mid-aged and older urban residents from four aspects: outpatient behaviour, outpatient costs, inpatient behaviour and inpatient costs. MATERIALS AND

methodsThe data used in this study were from 2015 China Health and Retirement Longitudinal Study (CHARLS) conducted by Peking University. Binary logit model and multiple linear regression model were used to analyse the impact of health insurance on the use of healthcare, and the PSM method was used to test the robustness of the results.

resultsParticipating in either BMIUSE or BMISURR can significantly improve all kinds of healthcare utilization for mid-aged and older urban groups. However, there are huge differences on the healthcare utilization between BMISUE and BMISURR. Specifically, the probability of using inpatient care and inpatient costs of urban residents enrolled in the BMISUE are 4.2% and 45% higher, respectively, than those covered by the BMISURR, but there are no differences in outpatient care utilization and outpatient costs between these two health insurance programs.

conclusionThis paper suggests that the large gaps between BMISUE and BMISURR only reflect on inpatient care and inpatient costs, there is no difference in outpatient services between these two health insurance programs. "Excessive demand", "induced demand" and other moral hazard phenomena in BMISUE should be avoided when receiving hospitalization services.

Indexed as

CHARLShealth insurancein-patient servicemid-aged and older urban residentsout-patient service

Identifiers

PMID33116998
PMCPMC7585260

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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.