Suppr超能文献

深入探讨公共支出弹性:来自国家卫生服务急性护理医院网络的证据。

Delving into public-expenditure elasticity: Evidence from a National Health Service acute-care hospital network.

机构信息

Data Science for Health Services and Policy Research, Instituto Aragonés de Ciencias de la Salud (IACS), Zaragoza, Spain.

Network for Research on Chronicity, Primary Care, and Health Promotion (RICAPPS), Instituto de Salud Carlos III, Madrid, Spain.

出版信息

PLoS One. 2024 Mar 4;19(3):e0291991. doi: 10.1371/journal.pone.0291991. eCollection 2024.

Abstract

INTRODUCTION

The sustainability of public hospital financing in Spain is a recurring issue, given its representativeness in annual public healthcare budgets which must adapt to the macroeconomic challenges that influence the evolution of spending. Knowing whether the responsiveness of hospital expenditure to its determinants (need, utilisation, and quasi-prices) varies according to the type of hospital could help better design strategies aimed at optimising performance.

METHODS

Using SARIMAX models, we dynamically assess unique nationwide monthly activity data over a 14-year period from 274 acute-care hospitals in the Spanish National Health Service network, clustering these providers according to the average severity of the episodes treated.

RESULTS

All groups showed seasonal patterns and increasing trends in the evolution of expenditure. The fourth quartile of hospitals, treating the most severe episodes and accounting for more than 50% of expenditure, is the most sensitive to quasi-price factors, particularly the number of beds per hospital. Meanwhile, the first quartile of hospitals, which treat the least severe episodes and account for 10% of expenditure, is most sensitive to quantity factors, for which expenditure showed an elasticity above one, while factors of production were not affected.

CONCLUSIONS

Belonging to one or another cluster of hospitals means that the determinants of expenditure have a different impact and intensity. The system should focus on these differences in order to optimally modulate expenditure not only according to the needs of the population, but also according to the macroeconomic situation, while leaving hospitals room for manoeuvre in case of unforeseen events. The findings suggest strengthening a network of smaller hospitals (Group 1)-closer to their reference population, focused on managing and responding to chronicity and stabilising acute events-prior to transfer to tertiary hospitals (Group 4)-larger but appropriately sized, specialising in solving acute and complex health problems-when needed.

摘要

引言

西班牙公立医院融资的可持续性是一个反复出现的问题,因为它在年度公共医疗保健预算中占有很大比重,而这些预算必须适应影响支出演变的宏观经济挑战。了解医院支出对其决定因素(需求、利用和准价格)的反应是否因医院类型而异,可能有助于更好地设计旨在优化绩效的策略。

方法

使用 SARIMAX 模型,我们动态评估了西班牙国家卫生服务网络中 274 家急性护理医院的独特全国性月度活动数据,根据治疗的疾病严重程度对这些提供者进行聚类。

结果

所有组都显示出季节性模式和支出演变的上升趋势。第四四分位数的医院治疗最严重的病例,占支出的 50%以上,对准价格因素最敏感,特别是每家医院的病床数。与此同时,第一四分位数的医院治疗最不严重的病例,占支出的 10%,对数量因素最敏感,支出的弹性超过 1,而生产要素不受影响。

结论

属于一个或另一个医院集群意味着支出的决定因素具有不同的影响和强度。该系统应关注这些差异,以便不仅根据人口需求,而且根据宏观经济情况最佳地调节支出,同时为医院在发生意外事件时留出回旋余地。研究结果表明,应加强一个较小医院(第 1 组)的网络,这些医院更接近其参照人群,专注于管理和应对慢性病,并稳定急性事件,然后再转移到三级医院(第 4 组),这些医院更大但规模适当,专门解决急性和复杂的健康问题,在需要时使用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a3a1/10911587/fb50ff8194bc/pone.0291991.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验