Work-focused interventions that promote the labour market transition of young adults with chronic disabling health conditions: a systematic review
Bibliographic record
Abstract
OBJECTIVE: Young adulthood is an important transitional life phase where careers are established. Young adults with chronic disabling health conditions are underrepresented in the labour market. Our study aims to examine the effectiveness of work-focused interventions that support the labour market transition of young adults with chronic disabling health conditions; and to examine whether the effectiveness of work-focused interventions differ across work transition phase (eg, preparation, entry and sustaining work, employment advancement) and disability type. METHODS: A systematic review of articles published between January 1990 and July 2018 was conducted. Medline, EMBASE and PsycInfo were searched, and titles/abstracts and full texts of articles were reviewed for eligibility. Relevant articles were appraised for methodological quality. A best evidence synthesis was applied to medium-quality/high-quality studies to develop recommendations. RESULTS: 5816 articles were identified; 10 articles were relevant and of moderate-high methodological quality. Six intervention categories were identified which focused on young adults with mental health or intellectual/learning disabilities (n=3) and addressed employment preparation (n=10) and/or work entry (n=9). No interventions addressed at-work issues or career advancement. Strong evidence existed for tailored supported employment (SE) interventions having a positive impact on preparation and entry into competitive employment. Also, moderate evidence existed for the positive impact of SE on preparation and entry into competitive employment for young adults with mental health conditions. CONCLUSIONS: Tailored SE is recommended to foster preparation and entry into the labour market. Evidence-based interventions are needed to facilitate sustained work and career advancement of young adults living with different disabling health conditions.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.006 | 0.028 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.008 | 0.007 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.006 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".