ArticleBMC psychiatry2021
Acceptability of a digital return-to-work intervention for common mental disorders: a qualitative study on service user perspectives.
Article in BMC psychiatry, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
What it found
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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.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Trial
- A Web-Based Self-Management Intervention for Return-to-Work Among Persons With Common Mental Disorders on Sick Leave: Case Study of mWorks.JMIR formative research · 2026Article
- Feasibility of a Mental Health App Intervention for Emergency Service Workers and Volunteers: Single-Arm Pilot Study.JMIR formative research · 2025Article
- WORKWELL process evaluation: qualitative data analyses of the participant interviews at 12- and 36-month follow-ups.Rheumatology advances in practice · 2025Article
- Sitting on the fence: A qualitative study of perceptions regarding pelvic floor muscle training among pregnant women with urinary incontinence.International journal of nursing sciences · 2023Article
- Pilot Trial of Workable: A Therapist-Supported Digital Program for Injured Workers.International journal of environmental research and public health · 2023Article
- Co-design Process of a Digital Return-to-Work Solution for People With Common Mental Disorders: Stakeholder Perception Study.JMIR formative research · 2023Article
- A qualitative assessment on the acceptability of providing cash transfers and social health insurance for tuberculosis-affected families in Ho Chi Minh City, Vietnam.PLOS global public health · 2023Article
- Usability and acceptability of a cognitive training intervention (SMART) for people with multiple sclerosis (MS): A prefeasibility formative evaluation.NIHR open research · 2022Article
- Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
backgroundThere is an evident discrepancy between need and provision of evidence-based return-to-work (RTW) interventions in existing mental health services. Online dissemination of evidence-based interventions is presumed to reduce this gap. However, there is almost no knowledge available on perceived acceptability of digital RTW interventions among service users, which are factors that might influence the development and implementation of future interventions. The aim of this study was to develop knowledge of service user acceptability of mWorks, a proposed digital RTW solution.
methodsParticipants (n = 18) with experience of common mental disorder and sick leave were recruited with a purposive snowball sampling method. Semi-structured interviews (n = 12) and one focus group interview (n = 6) were conducted. A deductive thematic analysis was performed according to the Theoretical Framework of Acceptability.
resultsDigital RTW interventions were perceived as acceptable and aligned with participant value. Participants expressed positive attitudes toward having access to support, regardless of time and place. A certain ambiguity between a decline in social interactions and opportunities to RTW in a safe space was reported. Participants were confident in their ability to use digital RTW solutions, but reported the need to reduce stressful elements of using smartphones. Overly demanding digital solutions, i.e. ones requiring high cognitive effort, were described as burdensome.
conclusionsFor digital RTW solutions to be acceptable, they need to complement traditional services by providing accessible and person-centred support throughout the RTW process. They should be designed to reduce the need for cognitive effort. Future research should explore how to balance user autonomy with other support components in digital interventions.
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