Unmet healthcare needs and the local extinction index: an analysis of regional disparities impacting South Korea's older adults

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10
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12

초록

Background This study examines the factors affecting unmet healthcare experiences by integrating individual-and community-level extinction indices.Methods Using spatial autocorrelation and multilevel modeling, the study utilizes data from the Community Health Survey and Statistics Korea for 218 local government regions from 2018 to 2019.Results The analysis identifies significant clustering, particularly in non-metropolitan regions with a higher local extinction index. At the individual level, some factors affect unmet medical needs, and unmet healthcare needs increase as the local extinction index at the community level increases.Conclusion The findings underscore the need for strategic efforts to enhance regional healthcare accessibility, particularly for vulnerable populations and local infrastructure development.

키워드

spatial analysis; spatial autocorrelation; hierarchical linear model; local extinction index; healthcare disparities; South Korea; EQUITY
제목
Unmet healthcare needs and the local extinction index: an analysis of regional disparities impacting South Korea's older adults
저자
Kwon, Younggyu; Sohn, Minsung; Choi, Mankyu
DOI
10.3389/fpubh.2024.1423108
발행일
2024-08-01
유형
Article
저널명
Frontiers in Public Health
권
12