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德国 COVID-19 相关旷工及相关生产力损失成本:基于人群的研究。

COVID-19-Related Work Absenteeism and Associated Lost Productivity Cost in Germany: A Population-Based Study.

机构信息

From the Pfizer Inc., New York, NY (J.Y., H.R.V., J.L.N.); Institute for Social and Economic Research and Policy, Columbia University, New York, New York (J.Y.); Adelphi Real World, Bollington, United Kingdom (K.K.R., M.S., H.G., L.M.); Pfizer Inc, Collegeville, Pennsylvania (J.R.); and BioNTech Europe GmbH, Berlin, Germany (A.S., S.P.).

出版信息

J Occup Environ Med. 2024 Jun 1;66(6):514-522. doi: 10.1097/JOM.0000000000003093. Epub 2024 Mar 14.

DOI:10.1097/JOM.0000000000003093
PMID:38489399
Abstract

OBJECTIVE

The aim of the study is to estimate COVID-19 absenteeism and indirect costs, by care setting.

METHODS

A population-based retrospective cohort study using data from the German Statutory Health Insurance (SHI) database to define outpatient (April 2020-December 2021) and hospitalized (April 2020-October 2022) cohorts of employed working-aged individuals.

RESULTS

In the outpatient cohort ( N = 369,220), median absenteeism duration and associated cost was 10.0 (Q1, Q3: 5.0, 15.0) days and €1061 (530, 1591), respectively. In the hospitalized cohort ( n = 20,687), median absenteeism and associated cost was 15.0 (7.0, 32.0) days and €1591 (743, 3394), respectively. Stratified analyses showed greater absenteeism in older workers, those at risk, and those with severe disease.

CONCLUSIONS

The hospitalized cohort had longer absenteeism resulting in higher productivity loss. Being older, at risk of severe COVID-19 and higher disease severity during hospitalization were important drivers of higher absenteeism duration.

摘要

目的

本研究旨在按护理环境估算 COVID-19 旷工和间接成本。

方法

采用基于人群的回顾性队列研究,使用德国法定健康保险(SHI)数据库的数据来定义门诊(2020 年 4 月至 2021 年 12 月)和住院(2020 年 4 月至 2022 年 10 月)就业年龄段人群队列。

结果

在门诊队列中(N=369220),旷工持续时间和相关费用的中位数分别为 10.0(Q1,Q3:5.0,15.0)天和 1061 欧元(530,1591)。在住院队列中(n=20687),旷工和相关费用的中位数分别为 15.0(7.0,32.0)天和 1591 欧元(743,3394)。分层分析显示,年龄较大、有风险和疾病严重的工人旷工时间更长。

结论

住院队列的旷工时间更长,导致生产力损失更大。年龄较大、有 COVID-19 严重风险和住院期间疾病严重程度较高是旷工时间延长的重要驱动因素。

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引用本文的文献

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