College of Nursing, Seoul National University, Seoul, Republic of Korea.
Research Institute of Nursing Science, Seoul National University, Seoul, Republic of Korea.
BMC Health Serv Res. 2024 Jan 24;24(1):134. doi: 10.1186/s12913-024-10579-y.
People with disabilities, who require numerous healthcare services, are vulnerable to unmet healthcare needs. This study aimed to investigate and identify the factors that influence unmet healthcare needs among people with disabilities and to compare these factors before and after the COVID-19 pandemic in South Korea.
A propensity score matching analysis was conducted using two datasets from the National Survey of Disabled Persons collected in 2017 and 2020. The participants were matched based on variables known to influence healthcare utilization. Based on the Andersen model, logistic regression was performed to analyze the key characteristics of the factors associated with unmet healthcare needs, including predisposing, enabling, and need factors.
Propensity score matching resulted in the inclusion of 1,884 participants in each group: an experimental group and control group. Before COVID-19, factors associated with unmet healthcare needs included sex, age, marital status, and education level (predisposing factors), instrumental activities of daily living dependency, satisfaction with medical staff's understanding of disability, satisfaction with medical institutional facilities and equipment (enabling factors), subjective health status, and depressive symptoms (need factors). After COVID-19, factors included physical disability, instrumental activities of daily living dependency, and discrimination (enabling factors), and subjective health status, chronic diseases, depressive symptoms, and regular medical care (need factors). No significant predisposing factors affecting unmet healthcare needs were identified after COVID-19.
This study compared the factors affecting unmet healthcare needs among people with disabilities before and after COVID-19. Recognizing the different factors associated with unmet healthcare needs before and after COVID-19, (e.g., sex, type of disability, satisfaction with medical staff's understanding of disabilities, medical institutional facilities and equipment considering the disabled, discrimination, chronic diseases, and regular medical care) may help governments and policymakers establish strategies to reduce and prevent unmet healthcare needs during and a future crisis.
需要大量医疗保健服务的残疾人容易存在未满足的医疗保健需求。本研究旨在调查和确定影响韩国残疾人未满足医疗保健需求的因素,并比较 COVID-19 大流行前后这些因素的差异。
使用 2017 年和 2020 年全国残疾人调查收集的两个数据集进行倾向评分匹配分析。根据已知影响医疗保健利用的变量对参与者进行匹配。基于 Andersen 模型,采用逻辑回归分析与未满足医疗保健需求相关的关键特征因素,包括倾向因素、促成因素和需求因素。
倾向评分匹配后,每组(实验组和对照组)各纳入 1884 名参与者。在 COVID-19 之前,与未满足医疗保健需求相关的因素包括性别、年龄、婚姻状况和教育程度(倾向因素)、日常生活活动依赖程度、对医务人员残疾理解的满意度、对医疗机构设施和设备的满意度(促成因素)、主观健康状况和抑郁症状(需求因素)。在 COVID-19 之后,与未满足医疗保健需求相关的因素包括身体残疾、日常生活活动依赖程度和歧视(促成因素)以及主观健康状况、慢性病、抑郁症状和定期医疗保健(需求因素)。COVID-19 后,没有发现影响未满足医疗保健需求的显著倾向因素。
本研究比较了 COVID-19 前后影响残疾人未满足医疗保健需求的因素。认识到 COVID-19 前后与未满足医疗保健需求相关的不同因素(如性别、残疾类型、对医务人员残疾理解的满意度、考虑残疾人士的医疗机构设施和设备、歧视、慢性病和定期医疗保健),可能有助于政府和政策制定者制定战略,以减少和预防危机期间和未来的未满足医疗保健需求。