UNASSIGNED: 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.
UNASSIGNED: 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.
UNASSIGNED: The findings underscore the need for strategic efforts to enhance regional healthcare accessibility, particularly for vulnerable populations and local infrastructure development.
■使用空间自相关和多级建模,该研究利用了2018年至2019年韩国218个地方政府地区社区卫生调查和统计的数据.
■分析确定了显著的聚类,特别是在局部灭绝指数较高的非大都市地区。在个人层面,一些因素影响未满足的医疗需求,随着社区一级的当地灭绝指数的增加,未满足的医疗保健需求也在增加。
■调查结果强调了需要采取战略努力来提高区域医疗保健的可及性,特别是对弱势群体和当地基础设施的发展。