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迈向更高效的医疗保健系统:COVID-19 大流行期间医院关闭带来的机遇和挑战。

Towards a more efficient healthcare system: Opportunities and challenges caused by hospital closures amid the COVID-19 pandemic.

机构信息

Harvard Kennedy School, Harvard University, Mailbox 37, 79 JFK Street, Cambridge, MA, 02138, USA.

Harvard Center for Health Decision Science, Harvard T.H. Chan School of Public Health, Harvard University, Cambridge, MA, USA.

出版信息

Health Care Manag Sci. 2022 Jun;25(2):187-190. doi: 10.1007/s10729-022-09591-7. Epub 2022 Mar 16.

DOI:10.1007/s10729-022-09591-7
PMID:35292872
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8923823/
Abstract

A substantial number of United States (U.S.) hospitals have closed in recent years. The trend of closures has accelerated during the COVID-19 pandemic, as hospitals have experienced financial hardship from reduced patient volume and elective surgery cases, as well as the thin financial margins for treating patients with COVID-19. This trend of hospital closures is concerning for patients, healthcare providers, and policymakers. In this current opinion piece, we first describe the challenges caused by hospital closures and discuss what policymakers should know based on the existing research. We then discuss unique opportunities for researchers to inform policymakers by conducting careful studies that can shed light on different implications, trade-offs, and consequences of various strategies that can be followed.

摘要

近年来,大量美国(U.S.)医院关闭。随着医院因患者数量和择期手术减少以及治疗 COVID-19 患者的微薄财务利润而遭受财务困难,这一关闭趋势在 COVID-19 大流行期间加速。医院关闭的趋势令患者、医疗保健提供者和政策制定者感到担忧。在这篇当前的观点文章中,我们首先描述了医院关闭带来的挑战,并根据现有研究讨论了政策制定者应该了解的内容。然后,我们讨论了研究人员通过进行可以阐明各种策略的不同含义、权衡取舍和后果的仔细研究,为政策制定者提供信息的独特机会。

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The Role of Quality Transparency in Health Care: Challenges and Potential Solutions.质量透明度在医疗保健中的作用:挑战与潜在解决方案
NAM Perspect. 2019 Nov 18;2019. doi: 10.31478/201911a. eCollection 2019.
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Understanding The Relationship Between Medicaid Expansions And Hospital Closures.理解医疗补助计划扩面与医院关闭之间的关系。
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Predictors of Medical and Dental Clinic Closure by Machine Learning Methods: Cross-Sectional Study Using Empirical Data.机器学习方法预测医疗和牙科诊所关闭的因素:基于实证数据的横断面研究。
J Med Internet Res. 2024 Aug 30;26:e46608. doi: 10.2196/46608.
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Drivers, adaptations, and public impacts of hospital closures: implications for policy.医院关闭的驱动因素、适应和公共影响:对政策的启示。
Front Public Health. 2024 Aug 13;12:1415033. doi: 10.3389/fpubh.2024.1415033. eCollection 2024.
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Efficiency evaluation, regional technological heterogeneity and determinant of total factor productivity change in China's healthcare system.中国医疗卫生系统的效率评估、区域技术异质性与全要素生产率变化的决定因素。
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Dynamic resectorization to improve utility of healthcare systems.动态再血管化以提高医疗系统的利用率。
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The effect of rural hospital closures on community economic health.农村医院关闭对社区经济健康的影响。
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How far to the hospital? The effect of hospital closures on access to care.到医院有多远?医院关闭对医疗服务可及性的影响。
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