COVID-19 对韩国医疗机构的影响:关注财务损失

B. Ahn, Jin-Won Noh, Eunji Yun, Hey-Jin Ko, Jun Hyuk Koo, W. Jang, Hyejin Lee, Jinyong Lee
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摘要

目的:众所周知,医疗机构因 COVID-19 大流行而遭受了巨大的经济损失,但缺乏具体确定损失规模的研究。本研究旨在详细分析 2020 年,即 COVID-19 大流行之初,医疗机构遭受了多少经济损失:本研究使用了医疗保险审查与评估服务机构提供的 2018 年至 2020 年全国医疗保险理赔数据。经济损失被概念化并划分为医疗总费用的增加或减少,或机构增加或减少的比例。按医疗机构类型、医保定点资格类型、诊疗类型(住院/门诊)对医疗总费用的变化趋势进行分析:结果表明,COVID-19 导致的医疗费用降幅最大的是诊所级医疗机构,且各诊所的增幅和降幅分布较广。此外,几乎所有儿科和耳鼻喉科诊所都因 COVID-19 而减少了医疗费用:医疗机构一直在为 COVID-19 大流行带来的痛苦而苦苦哀求。然而,众所周知,与 2019 年相比,2020 年医疗总费用的下降幅度微乎其微。本研究通过更详细的分析,克服了平均值的陷阱,证实了在发生类似情况时需要有区别的政策支持。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Impact of COVID-19 on Medical Institutions in Korea: Focusing on Financial Losses
Purposes: It is known that medical institutions suffered substantial financial losses due to the COVID-19 pandemic, but studies that specifically identified the size of losses are lacking. This study aims to analyze in detail how much financial loss medical institutions suffered in 2020, at the beginning of the COVID-19 pandemic.Methodology: This study used national health insurance claim data from 2018 to 2020 provided by the Health Insurance Review and Assessment Service. Financial losses were conceptualized and classified as the increase or decrease in total medical expenses or the proportion of increased or decreased institutions. The trend of total medical expenses was analyzed by medical institution type, health insurance qualification type, and treatment type (inpatient/outpatient).Findings: The results showed that the decrease in medical expenses due to COVID-19 was the largest at clinic-level medical institutions, and the distribution of each clinic’s increases and decreases was wide. In addition, almost all of the pediatrics and otolaryngology clinics had a reduction in medical expenses due to COVID-19.Practical Implications: Medical institutions have been pleading about the pain caused by the COVID-19 pandemic. However, it was known that the decrease in total medical expenses in 2020 compared to 2019 was insignificant. This study overcame the trap of average through more detailed analyses, confirming the need for differentiated policy support in the event of a similar situation.
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