Evidence map›Paper›PMID 35329425›Full record

ArticleInternational journal of environmental research and public health2022

The Current Practice of Gradual Return to Work in Germany: A Qualitative Study Protocol.

Inga L Schulz, Ralf Stegmann, Uta Wegewitz, Matthias Bethge

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Inga L SchulzDepartment 3.5 Evidence Based Occupational Health and Workplace Health Management, Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany.ORCID 0000-0002-8700-5968
Ralf StegmannDepartment 3.5 Evidence Based Occupational Health and Workplace Health Management, Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany.
Uta WegewitzDepartment 3.5 Evidence Based Occupational Health and Workplace Health Management, Federal Institute for Occupational Safety and Health (BAuA), 10317 Berlin, Germany.
Matthias BethgeInstitute for Social Medicine and Epidemiology, University of Luebeck, 23562 Luebeck, Germany.ORCID 0000-0002-6417-7812

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

(1) Background: The increase in working age and long-term illnesses is a challenge for society to maintain the health of employees and to support their work participation. In many countries, such as Germany, a gradual return to work (GRTW) is used frequently to support returning employees, but little is known about its facilitators and obstacles. This protocol aims to provide an overview of the national state of the art in workplace adjustments during return to work and to outline the design of a qualitative study examining current GRTW practices in Germany. (2) Methods: Our qualitative study will examine the current implementation of GRTW by means of 32 narrative interviews and 10 group discussions from different perspectives. Therefore, we will ask returning employees as well as organisational stakeholders and external experts about their experiences with GRTW and attitudes towards the measure. The verbal data obtained will be analysed using the documentary method of interpretation. (3) Discussion: This study will reveal facilitating and hindering factors for the implementation of GRTW in Germany. The findings of the study may contribute to an improved implementation of GRTW not only in Germany.

Indexed as

Return to WorkSick LeaveGermanyQualitative ResearchWorkplacedocumentary method of interpretationgradual return to workoccupational health and safetyqualitative researchrehabilitationstudy protocolworkplace adjustmentsworkplace health management

Identifiers

PMID35329425
PMCPMC8955514

What OpenQuestion holds

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.