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丹麦六个市长期病假后重返工作岗位的决定因素。

Determinants of return to work after long-term sickness absence in six Danish municipalities.

机构信息

Department of Occupational Medicine, Køge Sygehus, University of Copenhagen, Køge, Denmark.

出版信息

Scand J Public Health. 2010 May;38(3):299-308. doi: 10.1177/1403494809357095. Epub 2010 Jan 7.

Abstract

BACKGROUND

Different follow-up times and methods in return to work (RTW) research make it difficult to compare results between studies, and not all intervention effects and determinants may be constant over time.

AIMS

This study aimed to describe the RTW process of a population of long-term sickness-absent workers over a 3-year period in terms of the effect of selected determinants over time.

METHODS

A total of 7780 sickness-absent persons were registered by social workers in six different municipalities and were followed up for 2 to 3 years. Estimates from multiple logistic regression analyses conducted for every 4 weeks were plotted against time to identify changes in the effects of selected determinants.

RESULTS

After 1.5 years, 55.2% of the population had returned to work and this level was maintained through the remaining follow-up period. All the included potential determinants were found to be significantly related to RTW at 1 and 3 years. The effects of sex, ethnicity, and income were found to be nearly constant over time. The effects of municipality, diagnosis, and age changed markedly over time and mostly during the first year.

CONCLUSIONS

RTW increased during the first 1.5 years after which a steady level was maintained. The effect of diagnosis, age, and municipality changed markedly over time.

摘要

背景

在重返工作岗位(RTW)研究中,不同的随访时间和方法使得难以比较研究结果,并且并非所有干预效果和决定因素可能随时间保持不变。

目的

本研究旨在描述长期请病假的人群在 3 年内的 RTW 过程,以说明随时间推移选定决定因素的影响。

方法

共 7780 名请病假者由六家不同市的社会工作者登记,并随访 2 至 3 年。对每 4 周进行的多项逻辑回归分析的估计值与时间相对照,以确定选定决定因素的影响的变化。

结果

1.5 年后,该人群中有 55.2%返回工作岗位,并且在剩余的随访期间保持了这一水平。所有纳入的潜在决定因素均被发现与 1 年和 3 年时的 RTW 显著相关。性别、种族和收入的影响被发现几乎随时间保持不变。市、诊断和年龄的影响随时间发生明显变化,且主要在第一年。

结论

RTW 在最初的 1.5 年内增加,此后保持稳定水平。诊断、年龄和市的影响随时间明显变化。

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