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Heliyon. 2024 Dec 4;11(1):e40935. doi: 10.1016/j.heliyon.2024.e40935 Q13.62024

Impact of medical resources in residential area on unmet healthcare needs: Findings from a multi-level analysis of Korean nationwide data

居住地医疗资源对未被满足的医疗卫生需求的影响——基于韩国全国数据的多水平分析结果 翻译改进

Seo Yeong Choi  1  2, Il Yun  1  3, Jong Youn Moon  1  2

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作者单位

  • 1 Department of Preventive Medicine, Gachon University College of Medicine, Incheon, Republic of Korea.
  • 2 Artificial Intelligence and Big-Data Convergence Center, Gil Medical Center, Gachon University of Medicine, Incheon, Republic of Korea.
  • 3 Institute of Health Services Research, Yonsei University, Seoul, Republic of Korea.
  • DOI: 10.1016/j.heliyon.2024.e40935 PMID: 39758406

    摘要 Ai翻译

    Purpose: This study aimed to examine whether sufficient medical resources in residential areas influence individuals' unmet healthcare needs in South Korea, where overpopulation is of concern.

    Methods: Two publicly available datasets were utilized: The Korean Community Health Survey at the individual-level and the Korean medical utilization statistics at the regional-level. It included 176,378 individuals. To address the clustered nature of the regional-level data, a multi-level framework was applied, containing individual-level data, incorporating demographic details and health information.

    Results: Individuals living in small cities and rural areas with sufficient medical resources were 1.26 times more likely to experience unmet healthcare needs than those living in well-resourced metropolitan cities. Additionally, the adjusted odds ratio for unmet healthcare needs was the highest at 1.32 for those living in small cities and rural areas lacking sufficient medical resources. Stratified analyses revealed the largest disparity in unmet healthcare needs between income levels in regions with sufficient resources. In these areas, those with the lowest income were 1.77 times more likely to experience unmet healthcare than those with the highest income. Similarly, in metropolitan cities, the income-based gap in unmet healthcare needs was most pronounced, with the adjusted odds ratio for the lowest-income group being 1.66.

    Conclusions: Our findings demonstrate that living in small cities or rural areas with insufficient medical resources, as well as having a low income level even in an area with sufficient medical services, significantly increases individuals' unmet healthcare needs. This suggests then need for equitable distribution medical resources across regions and public health support policies that do not limit access to medical care for people with poor socioeconomic status.

    Keywords: Medical resource; Multi-level model; Regional health disparity; Unmet healthcare needs.

    Keywords:medical resources; residential area; unmet healthcare needs; multi-level analysis; korean nationwide data

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    期刊名:Heliyon

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    ISSN:N/A

    e-ISSN:2405-8440

    IF/分区:3.6/Q1

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    Impact of medical resources in residential area on unmet healthcare needs: Findings from a multi-level analysis of Korean nationwide data