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繁忙的医院环境如何影响 60 天内的死亡率和再入院率:挪威 68 万例急性入院患者的队列研究。

How do busy hospital circumstances affect mortality and readmission within 60 days: A cohort study of 680 000 acute admissions in Norway.

机构信息

Center for Health Care Improvement, St. Olav's hospital, Trondheim University Hospital, Trondheim, Norway.

Center for Health Care Improvement, St. Olav's hospital, Trondheim University Hospital, Trondheim, Norway; Norwegian University of Science and Technology, Department of Mathematical Sciences, Trondheim, Norway.

出版信息

Health Policy. 2022 Aug;126(8):808-815. doi: 10.1016/j.healthpol.2022.05.008. Epub 2022 May 21.

DOI:10.1016/j.healthpol.2022.05.008
PMID:35644720
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7614243/
Abstract

OBJECTIVE

To study mortality and readmissions for older patients admitted during more and less busy hospital circumstances.

DESIGN

Cohort study where we identified patients that were admitted to the same hospital, during the same month and day of the week. We estimated effects of inflow of acute patients and the number of concurrent acute inpatients. Mortality and readmissions were analysed using stratified Cox-regression.

SETTING

All people 80 years and older acutely admitted to Norwegian hospitals between 2008 and 2016.

MAIN OUTCOME MEASURES

Mortality and readmissions within 60 days from admission.

RESULTS

Among 294 653 patients with 685 197 admissions, mean age was 86 years (standard deviation 5). Overall, 13% died within 60 days. An interquartile range difference in inflow of acute patients was associated with a hazard ratio (HR) of 0.99, 95% confidence interval (95% CI) 0.98 to 1.00). There was little evidence of differences in readmissions, but a 7% higher risk (HR 1.07, 95% CI 1.06 to 1.09) of being discharged outside ordinary daytime working hours.

CONCLUSIONS

Older patients admitted during busier circumstances had similar mortality and readmissions to those admitted during less busy periods. Yet, they showed a higher risk of discharge outside daytime working hours. Despite limited effects of busyness on a hospital level, there could still be harmful effects of local situations.

摘要

目的

研究在医院较忙和较不忙时期收治的老年患者的死亡率和再入院率。

设计

我们对同一医院、同一月份和同一周内收治的患者进行了队列研究。我们估计了急性患者流入和同期急性住院患者数量的影响。使用分层 Cox 回归分析死亡率和再入院率。

设置

2008 年至 2016 年期间,所有 80 岁及以上的挪威医院急性入院患者。

主要观察指标

入院后 60 天内的死亡率和再入院率。

结果

在 294653 名患者的 685197 次入院中,平均年龄为 86 岁(标准差为 5)。总体而言,13%的患者在 60 天内死亡。急性患者流入量的四分位差与危险比(HR)为 0.99,95%置信区间(95%CI)为 0.98 至 1.00)。再入院率差异无统计学意义,但在非正常日间工作时间出院的风险增加 7%(HR 1.07,95%CI 1.06 至 1.09)。

结论

在较忙时期收治的老年患者的死亡率和再入院率与在较不忙时期收治的患者相似。然而,他们在白天工作时间之外出院的风险更高。尽管医院层面的忙碌程度影响有限,但当地情况仍可能产生有害影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/217c62ac3322/EMS170544-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/41e92030a240/EMS170544-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/d1bd05cc2ed5/EMS170544-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/217c62ac3322/EMS170544-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/41e92030a240/EMS170544-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/d1bd05cc2ed5/EMS170544-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7435/7614243/217c62ac3322/EMS170544-f003.jpg

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