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Record W2060404611 · doi:10.7870/cjcmh-2006-0025

A Systematic Review of Psychological Return-to-Work Interventions for People with Mental Health Problems and/or Physical Injuries

2006· review· en· W2060404611 on OpenAlexafffundvenue
Marc Corbière, Jie Shen

Bibliographic record

VenueCanadian Journal of Community Mental Health · 2006
Typereview
Languageen
FieldHealth Professions
TopicWorkplace Health and Well-being
Canadian institutionsUniversity of British ColumbiaUniversité de Sherbrooke
FundersCanadian Institutes of Health ResearchMichael Smith Health Research BC
KeywordsPsychological interventionMental healthPsychologyCoping (psychology)Applied psychologyCognitionClinical psychologyPsychotherapistPsychiatry

Abstract

fetched live from OpenAlex

The objectives of the current systematic review are (a) to describe psychological return-to-work (RTW) interventions for people with mental health problems and/or physical injuries, and (b) to summarize the impact of these RTW interventions on work and health outcomes. Three conventional systematic review methods were used, and 14 studies were identified. The most popular psychological interventions focus on coping strategies, problem-solving strategies, and belief/attitude adjustments. These components are most often grouped together under the broad label, cognitive behavioural approach, an approach which has yielded significant results in terms of RTW and health improvement outcomes. Other key interventions include communication between stakeholders and the involvement of each framework level (i.e., individual, group, and organization) in the RTW process, supported by follow-up in the community.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.007
metaresearch head score (Gemma)0.033
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.011
Threshold uncertainty score0.036

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0070.033
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0070.005
Bibliometrics0.0080.009
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0020.001
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0050.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.132
GPT teacher head0.493
Teacher spread0.361 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designSystematic review
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations35
Published2006
Admission routes3
Has abstractyes

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