Christian Hetzel, Sarah Leinberger, Rainer Kaluscha, Angela Kranzmann, Nadine Schmidt, Anke Mitschele
{"title":"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。","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":"{\"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. 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Return to work after medical rehabilitation in Germany: influence of individual factors and regional labour market based on administrative data.
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.
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’).
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