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《数据中的魔鬼:医疗可避免死亡率的地区差异能否帮助理解波兰卫生系统绩效的变化?》

The Devil Is in the Data: Can Regional Variation in Amenable Mortality Help to Understand Changes in Health System Performance in Poland?

机构信息

European Observatory on Health Systems and Policies, London School of Economics and Political Science, London WC2A 2AE, UK.

European Observatory on Health Systems and Policies, London School of Hygiene & Tropical Medicine, London WC1H 9SH, UK.

出版信息

Int J Environ Res Public Health. 2022 Mar 31;19(7):4129. doi: 10.3390/ijerph19074129.

Abstract

The contribution of health systems to health is commonly assessed using levels of amenable mortality. Few such studies exist for Poland, with analyses of within-the-country patterns being particularly scarce. The aim of this paper is to analyse differences in amenable mortality levels and trends across Poland's regions using the most recent data and to gain a more nuanced understanding of these differences and possible reasons behind them. This can inform future health policy decisions, particularly when it comes to efforts to improve health system performance. We used national and regional mortality data to construct amenable mortality rates between 2002 and 2019. We found that the initially observed decline in amenable mortality stagnated between 2014 and 2019, something not seen elsewhere in Europe. The main driver behind this trend is the change in ischemic heart disease (IHD) mortality. However, we also found that there is a systematic underreporting of IHD as a cause of death in Poland in favour of heart failure, which makes analysis of health system performance using amenable mortality as an indicator less reliable. We also found substantial geographical differences in amenable mortality levels and trends across Poland, which ranged from -3.3% to +8.1% across the regions in 2014-2019. These are much bigger than variations in total mortality trends, ranging from -1.5% to -0.2% in the same period, which suggests that quality of care across regions varies substantially, although some of this effect is also a coding artefact. This means that interpretation of health system performance indicators is not straightforward and may prevent implementation of policies that are needed to improve population health.

摘要

卫生系统对健康的贡献通常通过可避免死亡率来评估。波兰很少有此类研究,对国内模式的分析尤其稀缺。本文旨在利用最新数据分析波兰各地区的可避免死亡率水平和趋势差异,并更深入地了解这些差异及其背后的可能原因。这可以为未来的卫生政策决策提供信息,特别是在努力改善卫生系统绩效时。我们使用国家和地区死亡率数据构建了 2002 年至 2019 年的可避免死亡率。我们发现,最初观察到的可避免死亡率下降在 2014 年至 2019 年之间停滞不前,这在欧洲其他地方没有出现过。这一趋势的主要驱动因素是缺血性心脏病(IHD)死亡率的变化。然而,我们还发现,波兰系统地低估了 IHD 作为死因的报告,而更倾向于报告心力衰竭,这使得使用可避免死亡率作为指标来分析卫生系统绩效的可靠性降低。我们还发现,波兰各地的可避免死亡率水平和趋势存在显著差异,2014-2019 年期间,各地区的差异范围从-3.3%到+8.1%。这些差异远大于同期总死亡率趋势的变化,范围从-1.5%到-0.2%,这表明各地区的护理质量存在显著差异,尽管部分差异也是由于编码造成的。这意味着对卫生系统绩效指标的解释并不简单,可能会阻碍实施改善人口健康所需的政策。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/91c4/8998952/71973c6442cd/ijerph-19-04129-g001.jpg

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