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人口变化与德国 2000-2040 年住院负担:分解分析与预测。

Population change and the burden of hospitalization in Germany 2000-2040: Decomposition analysis and projection.

机构信息

Unit of Social Determinants of Health, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

Unit of Health Reporting, Department of Epidemiology and Health Monitoring, Robert Koch Institute, Berlin, Germany.

出版信息

PLoS One. 2020 Dec 11;15(12):e0243322. doi: 10.1371/journal.pone.0243322. eCollection 2020.

Abstract

Demographic factors, such as population aging and shrinkage, and non-demographic factors, such as hospitalization rate and length of hospital stay, generate challenges for inpatient care. This paper used decomposition analysis to assess how changes in these factors affected the number of hospital treatment days from 2000 to 2015 in Germany. Demographic aging was linked to increases in the number of treatment days for women (+10.0%) and men (+19.2%) and in hospitalization rates for women +6.0% and men +5.4%. However, these increases were offset by decreases in the number of hospital days (women: 16.5%; men: 7.3%) and length of stay (women: -27.4%; men -26.3%). For the projection up to 2040, 12 scenarios were developed (six for women and six for men) using three variants for future population demographics and two variants for future length of stay and hospitalization rates. One of the two variants for future length of stay and hospitalization rates provides for a constant value for the year 2015. For the second of these two variants variant, a logarithmic model was estimated on the basis of values from 2000 to 2015. and the trends were extrapolated using this model until 2040. The strongest overall predicted increase was 18.4% between 2015 and 2040, including a 22.4% increase for men. In two scenarios for women, only slight declines were predicted. All results, both for the decomposition analysis and projection, indicated a moderate but sustained effect of demographic aging on the number of hospital treatment days, leading to a significant increase in hospital treatment days over the study period. Non-demographic factors also had strong influences, especially in shorter time periods, but these effects offset each other over time. The change in the population size in the period under study had very little effect on the number of hospital treatment days.

摘要

人口因素,如人口老龄化和萎缩,以及非人口因素,如住院率和住院时间长短,给住院治疗带来了挑战。本文使用分解分析来评估 2000 年至 2015 年期间这些因素的变化如何影响德国的住院治疗天数。人口老龄化导致女性(+10.0%)和男性(+19.2%)的治疗天数增加,以及女性(+6.0%)和男性(+5.4%)的住院率增加。然而,这些增加被住院天数(女性:16.5%;男性:7.3%)和住院时间(女性:-27.4%;男性-26.3%)的减少所抵消。对于到 2040 年的预测,使用三种未来人口统计学变体和两种未来住院时间和住院率变体开发了 12 种情景(女性 6 种,男性 6 种)。未来住院时间和住院率的两个变体之一假设 2015 年的数值保持不变。对于这两个变体中的第二个变体,根据 2000 年至 2015 年的数据,建立了对数模型,并使用该模型对 2040 年之前的趋势进行了推断。预测的总体增长最强的是 2015 年至 2040 年期间的 18.4%,其中男性增长 22.4%。在女性的两个情景中,仅预测到略有下降。分解分析和预测的所有结果都表明,人口老龄化对住院治疗天数有适度但持续的影响,导致研究期间住院治疗天数显著增加。非人口因素也有强烈的影响,尤其是在较短的时间内,但这些影响随着时间的推移相互抵消。研究期间人口规模的变化对住院治疗天数的影响很小。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/09a3/7732063/cdc483a3d2be/pone.0243322.g001.jpg

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