Evidence map›Paper›PMID 33109176›Full record

ArticleBMC health services research2020

The effect of shifting medical coverage from National Health Insurance to Medical Aid type I and type II on health care utilization and out-of-pocket spending in South Korea.

Doo Woong Lee, Jieun Jang, Dong-Woo Choi, Sung-In Jang, Eun-Cheol Park

Abstract read
In one paragraph

Article in BMC health services research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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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3 · Its place in the literature

Who cites it

22 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

5 authors.

Doo Woong LeeDepartment of Public Health, Graduate School, Yonsei University, Seoul, 03722, Republic of Korea.
Jieun JangDepartment of Preventive Medicine, Ajou University School of Medicine, Suwon, 16499, Republic of Korea.
Dong-Woo ChoiDepartment of Public Health, Graduate School, Yonsei University, Seoul, 03722, Republic of Korea.
Sung-In JangInstitute of Health Services Research, Yonsei University, Seoul, 03722, Republic of Korea. JANGSI@yuhs.ac.ORCID http://orcid.org/0000-0002-0760-2878
Eun-Cheol ParkInstitute of Health Services Research, Yonsei University, Seoul, 03722, Republic of Korea.

Funding

Yonsei University College of Medicine 6-2018-0174 and 6-2017-0157
6 · The paper itself

Abstract

backgroundThis study examines the effects of a shift in medical coverage, from National Health Insurance (NHI) to Medical Aid (MA), on health care utilization (measured by the number of outpatient visits and length of stay; LOS) and out-of-pocket medical expenses.

methodsData were collected from the Korean Welfare Panel Study (2010-2016). A total of 888 MA Type I beneficiaries and 221 MA Type II beneficiaries who shifted from the NHI were included as the case group and 2664 and 663 consecutive NHI holders (1:3 propensity score-matched) were included as the control group, respectively. We used the 'difference-in-differences' (DiD) analysis approach to assess changes in health care utilization and medical spending by the group members.

resultsDifferential average changes in outpatient visits in the MA Type I panel between the pre- and post-shift periods were significant, but differential changes in LOS were not found. Those who shifted from NHI to MA Type I had increased number of outpatient visits without changes in out-of-pocket spending, compared to consecutive NHI holder who had similar characteristics. However, this was not found for MA Type II beneficiaries.

conclusionOur research provides evidence that the shift in medical coverage from NHI to MA Type I increased the number of outpatient visits without increasing the out-of-pocket spending. Considering the problem of excess medical utilization by Korean MA Type I beneficiaries, further researches are required to have in-depth discussions on the appropriateness of the current cost-sharing level on MA beneficiaries.

Indexed as

Financing, PersonalHealth ExpendituresInsurance CoverageNational Health ProgramsPatient Acceptance of Health CareAdultCost SharingFemaleHumansMaleMiddle AgedPropensity ScoreRepublic of KoreaYoung AdultDifference-in-differencesHealth care utilizationMedical aidNational Health InsuranceOut-of-pocket medical spendingPropensity scoreSouth Korea

Identifiers

PMID33109176
PMCPMC7590487

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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.