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欧洲各国可治疗的死亡率及与医疗保健相关的因素。

Treatable mortality and health care related factors across European countries.

作者信息

Tavares Aida Isabel

机构信息

CEISUC - Centre for Health Studies and Research, University of Coimbra, Coimbra, Portugal.

ISEG, UL - Lisbon School of Economics and Management, University of Lisbon, Lisbon, Portugal.

出版信息

Front Public Health. 2024 Feb 16;12:1301825. doi: 10.3389/fpubh.2024.1301825. eCollection 2024.

Abstract

INTRODUCTION

Despite the improvements in European health systems, a large number of premature deaths are attributable to treatable mortality. Men make up the majority of these deaths, with a significant gap existing between women and men's treatable mortality rate in the EU.

AIM

This study aims to identify the healthcare-related factors, including health expenditures, human and physical resources, and hospital services use associated with treatable mortality in women and men across European countries during the period 2011-2019.

METHODS

We use Eurostat data for 28 EU countries in the period 2011-2019. We estimate a panel data linear regression with country fixed effects and quantile linear regression for men and women.

RESULTS

The results found (i) differences in drivers for male and female treatable mortality, but common drivers hold the same direction for both sexes; (ii) favorable drivers are GDP , health expenditures, number of physicians , and (only for men) the average length of a hospital stay, (iii) unfavorable drivers are nurses and beds , although nurses are not significant for explaining female mortality.

CONCLUSION

Policy recommendations may arise that involve an improvement in hospital bed management and the design of more specific policies aimed at healthcare professionals.

摘要

引言

尽管欧洲卫生系统有所改善,但仍有大量过早死亡可归因于可治疗的死亡率。男性占这些死亡人数的大多数,欧盟内女性和男性的可治疗死亡率之间存在显著差距。

目的

本研究旨在确定2011年至2019年期间欧洲各国与可治疗死亡率相关的医疗保健相关因素,包括卫生支出、人力和物力资源以及医院服务使用情况。

方法

我们使用了2011年至2019年期间28个欧盟国家的欧盟统计局数据。我们估计了一个带有国家固定效应的面板数据线性回归以及针对男性和女性的分位数线性回归。

结果

研究结果发现:(i)男性和女性可治疗死亡率的驱动因素存在差异,但共同驱动因素对两性的影响方向相同;(ii)有利的驱动因素是国内生产总值、卫生支出、医生数量以及(仅对男性而言)平均住院天数;(iii)不利的驱动因素是护士数量和病床数量,不过护士数量对解释女性死亡率并不显著。

结论

可能会产生一些政策建议,包括改善医院病床管理以及制定针对医疗保健专业人员的更具体政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ed8c/10904533/35d2b48fe04d/fpubh-12-1301825-g001.jpg

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