关键词: South Korea healthcare disparities hierarchical linear model local extinction index spatial analysis spatial autocorrelation

Mesh : Humans Republic of Korea Aged Female Male Health Services Accessibility / statistics & numerical data Health Services Needs and Demand / statistics & numerical data Healthcare Disparities / statistics & numerical data Middle Aged Aged, 80 and over Health Surveys

来  源:   DOI:10.3389/fpubh.2024.1423108   PDF(Pubmed)

Abstract:
UNASSIGNED: This study examines the factors affecting unmet healthcare experiences by integrating individual-and community-level extinction indices.
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.
摘要:
这项研究通过整合个人和社区层面的灭绝指数来研究影响未满足的医疗保健体验的因素。
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。
公众号