Evidence map›Paper›PMID 33492634›Full record

ArticleJournal of occupational rehabilitation2021

Beliefs About Return to Work Among Women During/After Long-Term Sick Leave for Common Mental Disorders: A Qualitative Study Based on the Theory of Planned Behaviour.

Åsa Hedlund, Eva Boman, Marja-Leena Kristofferzon, Annika Nilsson

Abstract read
In one paragraph

Article in Journal of occupational rehabilitation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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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3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

  1. Trial
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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.

Åsa HedlundDepartment of Caring Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden. asahed@hig.se.ORCID 0000-0003-4676-9010
Eva BomanDepartment of Occupational Health and Psychology, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.
Marja-Leena KristofferzonDepartment of Caring Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.
Annika NilssonDepartment of Caring Sciences, University of Gävle, Kungsbäcksvägen 47, 801 76, Gävle, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeLong-term sick leave due to common mental disorders (CMDs) is an increasing problem, especially among women. To help these women return to work (RTW) sustainably, we need to know more about their own beliefs about RTW. One applicable theory is the theory of planned behaviour (TPB). Thus, the present study aimed to describe, based on the TPB, women's beliefs about RTW during or after long-term sick leave for a CMD.

methodsA qualitative approach was used. Twenty women were included during a long-term sick leave period due to a CMD. A deductive content analysis was conducted using predetermined factors from the TPB: behavioural beliefs (advantages-disadvantages of RTW), normative beliefs (supporters and non-supporters of RTW), and control beliefs (facilitators of-barriers to RTW).

resultsThe women believed that RTW would give them meaning and balance in life, but also that it would be challenging to maintain balance after RTW. They believed they had several supporters of RTW, but that the support was sometimes perceived as stressful rather than encouraging. Furthermore, individual adaptation and high demands were the most mentioned facilitator and barrier, respectively. Workplace conditions and personal strategies were thought to be important aspects.

conclusionsBy using the TPB, the present study was able to offer new findings on women's beliefs about RTW after long-term sick leave for a CMD. Based on the findings, we suggest that various RTW stakeholders should focus on striving to provide the tasks and work pace women need so they can maintain their professional competence and sense of meaning.

Indexed as

Mental DisordersSick LeaveFemaleHumansQualitative ResearchReturn to WorkWorkplaceCommon mental disordersReturn to workSick leaveWomen

Identifiers

PMID33492634
PMCPMC8298344

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Registered trials

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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.