Return to work after medical rehabilitation in Germany: influence of individual factors and regional labour market based on administrative data.

IF 1.6 Q2 INDUSTRIAL RELATIONS & LABOR
Journal for Labour Market Research Pub Date : 2023-01-01 Epub Date: 2023-01-20 DOI:10.1186/s12651-023-00330-1
Christian Hetzel, Sarah Leinberger, Rainer Kaluscha, Angela Kranzmann, Nadine Schmidt, Anke Mitschele
{"title":"Return to work after medical rehabilitation in Germany: influence of individual factors and regional labour market based on administrative data.","authors":"Christian Hetzel, Sarah Leinberger, Rainer Kaluscha, Angela Kranzmann, Nadine Schmidt, Anke Mitschele","doi":"10.1186/s12651-023-00330-1","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>The influence of both individual factors and, in particular, the regional labour market on the return to work after medical rehabilitation is to be analyzed based on comprehensive administrative data from the German Pension Insurance and Employment Agencies.</p><p><strong>Method: </strong>For rehabilitation in 2016, pre- and post-rehabilitation employment was determined from German Pension Insurance data for 305,980 patients in 589 orthopaedic rehabilitation departments and 117,386 patients in 202 psychosomatic rehabilitation departments. Labour market data was linked to the district of residence and categorized into 257 labour market regions. RTW was operationalized as the number of employment days in the calendar year after medical rehabilitation. Predictors are individual data (socio-demographics, rehabilitation biography, employment biography) and contextual data (regional unemployment rate, rehabilitation department level: percentage of patients employed before). The estimation method used was fractional logit regression in a cross-classified multilevel model.</p><p><strong>Results: </strong>The effect of the regional unemployment rate on RTW is significant yet small. It is even smaller (orthopaedics) or not significant (psychosomatics) when individual employment biographies (i.e., pre-rehabilitation employment status) are inserted into the model as the most important predictors. The interaction with pre-rehabilitation employment status is not substantial.</p><p><strong>Conclusions: </strong>Database and methods are of high quality, however due to the nonexperimental design, omitted variables could lead to bias and limit causal interpretation. The influence of the labour market on RTW is small and proxied to a large extent by individual employment biographies. However, if no (valid) employment biographies are available, the labour market should be included in RTW analyses.</p><p><strong>Supplementary information: </strong>The online version contains supplementary material available at 10.1186/s12651-023-00330-1.</p>","PeriodicalId":45469,"journal":{"name":"Journal for Labour Market Research","volume":"57 1","pages":"4"},"PeriodicalIF":1.6000,"publicationDate":"2023-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9864500/pdf/","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal for Labour Market Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1186/s12651-023-00330-1","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2023/1/20 0:00:00","PubModel":"Epub","JCR":"Q2","JCRName":"INDUSTRIAL RELATIONS & LABOR","Score":null,"Total":0}
引用次数: 0

Abstract

Background: The influence of both individual factors and, in particular, the regional labour market on the return to work after medical rehabilitation is to be analyzed based on comprehensive administrative data from the German Pension Insurance and Employment Agencies.

Method: For rehabilitation in 2016, pre- and post-rehabilitation employment was determined from German Pension Insurance data for 305,980 patients in 589 orthopaedic rehabilitation departments and 117,386 patients in 202 psychosomatic rehabilitation departments. Labour market data was linked to the district of residence and categorized into 257 labour market regions. RTW was operationalized as the number of employment days in the calendar year after medical rehabilitation. Predictors are individual data (socio-demographics, rehabilitation biography, employment biography) and contextual data (regional unemployment rate, rehabilitation department level: percentage of patients employed before). The estimation method used was fractional logit regression in a cross-classified multilevel model.

Results: The effect of the regional unemployment rate on RTW is significant yet small. It is even smaller (orthopaedics) or not significant (psychosomatics) when individual employment biographies (i.e., pre-rehabilitation employment status) are inserted into the model as the most important predictors. The interaction with pre-rehabilitation employment status is not substantial.

Conclusions: Database and methods are of high quality, however due to the nonexperimental design, omitted variables could lead to bias and limit causal interpretation. The influence of the labour market on RTW is small and proxied to a large extent by individual employment biographies. However, if no (valid) employment biographies are available, the labour market should be included in RTW analyses.

Supplementary information: The online version contains supplementary material available at 10.1186/s12651-023-00330-1.

Abstract Image

Abstract Image

Abstract Image

德国医疗康复后重返工作岗位:基于行政数据的个人因素和地区劳动力市场的影响。
背景:根据德国养老保险和就业机构的综合行政数据,分析个人因素,特别是地区劳动力市场对医疗康复后重返工作岗位的影响:根据德国养老保险数据,确定了 2016 年 589 个骨科康复部门的 305980 名患者和 202 个心身康复部门的 117386 名患者的康复前后就业情况。劳动力市场数据与居住地区相关联,并分为 257 个劳动力市场区域。复工是指医疗康复后日历年的就业天数。预测因素包括个人数据(社会人口统计学、康复简历、就业简历)和背景数据(地区失业率、康复部门水平:之前就业的患者比例)。使用的估计方法是交叉分类多层次模型中的分数对数回归:结果:地区失业率对复工的影响显著但较小。如果将个人就业简历(即康复前的就业状况)作为最重要的预测因素加入模型中,其影响甚至更小(骨科)或不显著(心身医学)。与康复前就业状况的交互作用不大:数据库和方法质量较高,但由于采用非实验设计,遗漏变量可能会导致偏差并限制对因果关系的解释。劳动力市场对恢复性就业的影响较小,而且在很大程度上是由个人的就业经历所决定的。但是,如果没有(有效的)就业履历,则应将劳动力市场纳入复工分析:在线版本包含补充材料,可查阅 10.1186/s12651-023-00330-1。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Journal for Labour Market Research
Journal for Labour Market Research INDUSTRIAL RELATIONS & LABOR-
CiteScore
2.60
自引率
5.90%
发文量
17
审稿时长
15 weeks
期刊介绍: The Journal for Labour Market Research is a journal in the interdisciplinary field of labour market research. As of 2016 the Journal publishes Open Access. The journal follows international research standards and strives for international visibility. With its empirical and multidisciplinary orientation, the journal publishes papers in English language concerning the labour market, employment, education / training and careers. Papers dealing with country-specific labour market aspects are suitable if they adopt an innovative approach and address a topic of interest to a wider international audience. The journal is distinct from most others in the field, as it provides a platform for contributions from a broad range of academic disciplines. The editors encourage replication studies, as well as studies based on international comparisons. Accordingly, authors are expected to make their empirical data available to readers who might wish to replicate a published work on request. Submitted papers, who have passed a prescreening process by the editors, are generally reviewed by two peer reviewers, who remain anonymous for the author. In addition to the regular issues, special issues covering selected topics are published at least once a year. As of April 2015 the Journal for Labour Market Research has a "No Revisions" option for submissions (see ‘Instructions for Authors’).
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信