Evidence map›Paper›PMID 41660380›Full record

ReviewFrontiers in rehabilitation sciences2025

Barriers and facilitators of employment in severe mental illness: an umbrella review.

Ana Maria Radu, Balazs Feher-Gavra, Andrei Rusu

Abstract readReview
In one paragraph

Review in Frontiers in rehabilitation sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

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.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Ana Maria RaduDepartment of Psychology, West University of Timișoara, Timișoara, Romania.
Balazs Feher-GavraInstitute for Advanced Environmental Studies (ICAM), West University of Timișoara, Timișoara, Romania.
Andrei RusuDepartment of Psychology, West University of Timișoara, Timișoara, Romania.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Employment is one of the most important means of meeting an individual's psychological, social, and economic needs. Severe mental health illness (SMI) poses a significant challenge to managing psychological resources, which can further impede one's employability. The purpose of this research is to investigate the contextual factors associated with employment for individuals suffering from SMI, for the benefit of both their well-being, as well as the wider economic and social context they live in. Methods: This umbrella review evaluates the available literature from PubMed and PsycINFO. It included systematic reviews, meta-analyses, and scoping reviews, for which a quality appraisal was conducted using the AMSTAR 2 Checklist and the Scoping Review Checklist. Results: Our search identified 40 reviews, from which we pulled seven evidence-based factors associated with employment, four facilitators, and three barriers. Receiving individual placement and support represents the facilitator that was most extensively researched, with reported employment rates up to 61%, while negative symptoms represent the most robustly identified barrier. Discussion: Overall, the synthesis of evidence highlights underlying factors that might shape employment for individuals with SMI and identifies interventions that hold potential for further development. It also underscores the necessity for conceptual consistency and reveals significant heterogeneity in the literature, which diminishes the generalizability of the results. Systematic Review Registration: https://www.crd.york.ac.uk/PROSPERO/view/CRD42023460410, PROSPERO CRD42023460410.

Indexed as

employmentoccupational rehabilitationpsychiatric diagnosissevere mental illnesssystematic review

Identifiers

PMID41660380
PMCPMC12872853

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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.