Tavares Aida Isabel
CEISUC - Centre for Health Studies and Research, University of Coimbra, Coimbra, Portugal.
CiBB - Center for Innovative Biomedicine and Biotechnology, University of Coimbra, Coimbra, Portugal.
Front Public Health. 2024 Dec 6;12:1477402. doi: 10.3389/fpubh.2024.1477402. eCollection 2024.
About 36.5% of premature deaths in European Union countries could have been avoided through prompt and effective medical treatment. This treatable mortality is even a priority established in Sustainable Development Goal (SDG) target 3.4. Given the gap in the literature about the socioeconomic drivers of this type of mortality, as well as the increasing importance of public financial management in defining priority policies, this study aims to analyze the socioeconomic and public finance drivers associated with treatable mortality for women and men across European countries.
Eurostat data is collected for 31 countries for the period 2011-2019 stratified by sex. Panel data quantile regression with fixed effects and conditional mean panel data model using feasible generalized least squares are estimated to explain treatable mortality in women and men.
Key findings point to a positive association between the public finance indicator proxying health priority and the treatable mortality rate for both sexes; a difference between drivers of treatable mortality between men and women; and a different set of drivers across the different quantiles of treatable mortality.
Drivers of male and female treatable mortality may differ according to the country's level of mortality rate. Government health priority seems to account for previous treatable mortality rates as a reactive measure. Policymakers aiming to reduce treatable mortality are likely to use instruments such as health expenditure, improved employment, education levels, and perhaps proactive policy-setting priorities concerning health.
在欧盟国家,约36.5%的过早死亡本可通过及时有效的医疗得到避免。这种可避免的死亡率甚至是可持续发展目标(SDG)目标3.4中确立的一项优先事项。鉴于文献中关于此类死亡率的社会经济驱动因素存在空白,以及公共财务管理在确定优先政策方面的重要性日益增加,本研究旨在分析与欧洲各国男女可避免死亡率相关的社会经济和公共财政驱动因素。
收集了欧盟统计局2011 - 2019年期间31个国家按性别分层的数据。估计了具有固定效应的面板数据分位数回归和使用可行广义最小二乘法的条件均值面板数据模型,以解释男女的可避免死亡率。
主要发现表明,代表卫生优先事项的公共财政指标与男女可避免死亡率之间存在正相关;男女可避免死亡率的驱动因素存在差异;以及在可避免死亡率的不同分位数上存在不同的驱动因素集。
男女可避免死亡率的驱动因素可能因国家的死亡率水平而异。政府的卫生优先事项似乎将先前的可避免死亡率作为一种应对措施。旨在降低可避免死亡率的政策制定者可能会使用诸如卫生支出、改善就业、教育水平等手段,或许还会制定有关卫生的积极政策优先事项。