Healthcare Big Data Analysis Using Representative National Community Health Survey of 2021: Is Income Change Due to Covid-19 Pandemic Associated with Unmet Healthcare Needs in S. Korea
Lecture Notes in Electrical Engineering, ISSN: 1876-1119, Vol: 1028 LNEE, Page: 439-447
2023
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Conference Paper Description
This paper was to explore how income changes due to Covid-19 associated with unmet healthcare needs among Korean population. We used representative National Community Health Survey 2021, and 209,202 respondents were included as final study subjects. We examined the sample characteristics and the association between income change due to Covid-19 and unmet healthcare needs. The multivariate survey logistic regression model was used to identify the association. Descriptive statistics showed that population with decreased income due to Covid-19 had more unmet healthcare needs than not changed group. The survey logistic regression results also showed that odds of having unmet healthcare needs were OR = 1.301 (95% CI: 1.229–1.377) than not changed group. We assume that the main reason for the unmet healthcare needs disparity is economic reason. Further study should be done to find out the association. Result of this study suggested that we need understanding where at risk populations are and identifying underserved healthcare needs. Our research provides evidence of promoting targeted financial support, preventive programs, and resource allocations to those underserved population groups.
Bibliographic Details
http://www.scopus.com/inward/record.url?partnerID=HzOxMe3b&scp=85163933025&origin=inward; http://dx.doi.org/10.1007/978-981-99-1252-0_58; https://link.springer.com/10.1007/978-981-99-1252-0_58; https://dx.doi.org/10.1007/978-981-99-1252-0_58; https://link.springer.com/chapter/10.1007/978-981-99-1252-0_58
Springer Science and Business Media LLC
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