Abstract
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.
Original language | English |
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Article number | 1423108 |
Journal | Frontiers in Public Health |
Volume | 12 |
DOIs | |
Publication status | Published - 2024 |
Bibliographical note
Publisher Copyright:Copyright © 2024 Kwon, Sohn and Choi.
Keywords
- healthcare disparities
- hierarchical linear model
- local extinction index
- South Korea
- spatial analysis
- spatial autocorrelation
ASJC Scopus subject areas
- Public Health, Environmental and Occupational Health