Pilot Randomized Controlled Trial of iCanWork: Theory-Guided Return-to-Work Intervention for Individuals Touched by Cancer
Bibliographic record
Abstract
BACKGROUND: Recent systematic reviews report a limited number of return-to-work (RTW) interventions for individuals touched by cancer (ITBC), with many falling short in effectiveness and lacking an integrated work-health approach. In response, iCanWork-a theoretically informed, multidisciplinary RTW intervention integrating vocational rehabilitation (VR) and occupational therapy (OT)-was conceptualized and developed to address the gap identified in recent reviews for robust, work-health-focused RTW interventions. METHODS: A pilot randomized controlled trial was conducted to explore the feasibility, acceptability, and preliminary work-related outcomes of the iCanWork intervention among 23 ITBC participants randomized to either the intervention or control group. Feasibility was assessed through recruitment, retention, and engagement benchmarks; acceptability was measured using a participant satisfaction survey. Preliminary work-health-related outcomes included RTW status, work ability index (WAI) scores, and health-related quality of life (QoL) domains. RESULTS: Feasibility benchmarks were achieved, with 92% recruitment, 83% retention, and 100% completing at least one VR session. Adherence to the session delivery benchmarks was met by 75% of participants before RTW and 41.7% after RTW. Participants rated the intervention highly for its tailored and supportive approach. Compared to the control group, the iCanWork group showed modest improvements in RTW status, WAI scores (mean change: +2.54), and QoL domains, including fatigue, social roles, and pain interference. Given the small sample size, these exploratory findings should be interpreted as preliminary signals to inform outcome selection for a future trial. CONCLUSIONS: iCanWork is a feasible and acceptable RTW intervention for ITBC with early indications of benefit. These findings inform the design and outcome selection for a future, larger trial aimed at evaluating the intervention's potential to improve RTW outcomes for ITBC.
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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 | 0.011 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.014 | 0.001 |
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".