‘I am somebody now’—exploring meanings and experiences of gaining employment among people in substance use disorder treatment
Bibliographic record
Abstract
Background Many individuals with severe Substance Use Disorders (SUD) want to work. This study explores the experiences of what gaining employment represents for patients receiving Individual Placement and Support (IPS) early in their SUD treatment.Methods Semi-structured interviews were conducted among 17 patients in specialized SUD treatment who received IPS through participating in a randomized trial. Interviews were thematically analyzed in an interdisciplinary group.Results The analysis generated three main themes: Employment promoting positive change in self-experience, where employment was described as improving well-being, confidence, health stability and awareness of personal challenges; Employment as a bridge for reconnecting with society, where work was experienced to enable social participation, feelings of usefulness and identity reconstruction; and Employment as a risk factor for destabilization and relapse showing how employment could have negative impacts, and potentially trigger substance use.Conclusion Gaining employment during SUD treatment can support both personal development and social integration but may also involve risks. Tailored employment support that responds to the complexities of SUD and is delivered through interwoven collaboration between health care and employment support services may improve treatment outcomes. This has important implications for future policy and service development and warrants further exploration.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.011 | 0.012 |
| Scholarly communication | 0.005 | 0.005 |
| Open science | 0.001 | 0.010 |
| Research integrity | 0.002 | 0.004 |
| Insufficient payload (model declined to judge) | 0.003 | 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".