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

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.

Keywords: South Korea; healthcare disparities; hierarchical linear model; local extinction index; spatial analysis; spatial autocorrelation.