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Analysis of Composition Change of Public Facility Care Users After the Universal Coverage Scheme in Thailand

Bibliographic Data

ID16911597
AuthorsNatthani Meemon (0000-0003-3815-9992, Mahidol University), Seung Chun Paek (0000-0002-9483-5572, Mahidol University, corresponding author)
Year2020
Volume10
Issue3
Publication date2020-07-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueSAGE Open (JOURNAL)
Journal identifiersISSN: 2158-2440 • E-ISSN: 2158-2440
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/2158244020947423
OpenAlexW3046312961
LanguageEN
Citations received1
References cited10

This study conducted a preliminary analysis to examine the impact of Thailand’s Universal Coverage Scheme (UCS) on health care use. In contrast with our expectation, no significant increase was found in the use of public facility care (i.e., use of the UCS services) after the UCS because the UCS increased the use of public facility care for the previously uninsured, but at the same time, it similarly decreased the previously insured who were previous public facility care users. Based on a view of this situation as a composition change of public facility care users, this study investigated where and discussed why the composition change occurred. By classifying health care use into four types (no care, informal care, public facility care, and private facility care), descriptive analysis and pooled logistic regression analysis were performed with data from the Health and Welfare Survey 2001 and 2003 to 2005. The study results showed that the UCS largely increased the use of public facility care for the previous uninsured people. In addition, the degree of the increase was relatively larger in lower income, older, younger, female, and rural people. Meanwhile, the UCS decreased the use of public facility care for previous public facility care users, especially those in higher income, middle-aged (mostly age 20–39 years), male, and urban people. This was probably due to an imbalance between the scaled-up UCS implementation and the resources allocated for improving the capacity of public facilities. This may have created circumstances that did not serve the needs of users (e.g., long waiting time) and pushed those previous users to the private sector

Business · Descriptive statistics · Economic growth · Economics · Environmental health · Health care · Health facility · Health services · Logistic regression · Population · Public health · Socioeconomics · Statistics · Welfare · Global Health Care Issues · Healthcare Policy and Management · Healthcare Systems and Reforms · Medicine · Nursing

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Unique citing works1
Citations per year0.5
Citation span2024 - 2024 (1)
Citation velocityrecent
Highly citedNo
Citation typesNeutral: 1

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