Evidence map›Paper›PMID 41422033›Full record

ArticleBMC psychology2025

Experiences of returning to work after sick leave due to exhaustion disorder: a qualitative content analysis.

Sanna Forslund, Filip Jovicic, Annika Näslund, Helen Habte, Jakob Clason van de Leur, Monica Buhrman, Alexander Rozental

Abstract read
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Article in BMC psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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No citing paper in PubMed yet.

4 · The record

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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

7 authors.

Sanna ForslundDepartment of Psychology, Uppsala University, Uppsala, Sweden. sanna.forslund@psyk.uu.se.
Filip JovicicDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Annika NäslundDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Helen HabteDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Jakob Clason van de LeurDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Monica BuhrmanDepartment of Psychology, Uppsala University, Uppsala, Sweden.
Alexander RozentalDepartment of Health, Education and Technology, Luleå University of Technology, Luleå, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundNon-traumatic stress-related illnesses are associated with considerable functional impairment and costs for both individuals and societies. In Sweden, the national diagnose Exhaustion disorder (ED) is one of the most frequently diagnosed disorders in this category. Despite the major negative consequences of illnesses such as ED, there is no clear evidence on successful treatments or effective interventions to enhance return to work outcomes for this population. Therefore, the aim of this study was to explore how individuals who had returned to work after sick leave due to ED experienced the process of returning to work, including facilitating factors, significant challenges and needs of further support.

methodsParticipants were recruited from three clinics in Stockholm specialized in rehabilitation for Exhaustion Disorder. Semi-structured interviews were conducted with 15 participants and the transcribed interviews were analyzed using qualitative content analysis.

resultsThe results yielded three themes - Struggling to adapt sustainably to change, Being supported or hindered by the context and Being part of a larger societal system. The first theme revolves around individual processes of change, such as gaining insight in one's own behavior, and rethinking one's perceived identity. The second theme focuses on how practical and emotional support, or lack thereof, affect the experience of returning to work. The third theme addresses hindering or facilitating factors on a more societal level, such as social norms or conditions of the social welfare system.

conclusionsThe results indicate the relevance of further and prolonged support for individuals returning to work after sick leave due to ED. The workplace and overall organization plays an important role in providing this support. In a clinical individual context, the support given may include programs designed to facilitate behavioral maintenance, sustainable psychological flexibility and renegotiation of values. However, further research is needed on how such programs should be best designed and delivered.

trial registrationNot applicable.

Indexed as

FatigueReturn to WorkSick LeaveAdaptation, PsychologicalAdultFemaleHumansMaleMiddle AgedQualitative ResearchSocial SupportSwedenExhaustion disorderQualitative content analysisReturn to workStress

Identifiers

PMID41422033
PMCPMC12849070

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

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.