Effectiveness of Interventions for Meaningful Activity Participation in Homelessness: A Systematic Review
Bibliographic record
Abstract
Background. Meaningful activity participation has been identified as a key outcome of services designed to support individuals during and following homelessness. Little is known about the effectiveness of interventions for promoting this outcome. Purpose. To identify the range and effectiveness of interventions on promoting meaningful activity participation among persons with experiences of homelessness. Method. We conducted a systematic review using the Joanna Briggs Institute methodology following PRISMA guidelines including a critical appraisal and narrative synthesis. Findings. Of 12,343 titles and abstracts screened, we included 12 studies. The authors of the included studies primarily used standardized measures of meaningful activity engagement. Critical appraisal scores ranged from 50.0 to 77.8. The most common interventions evaluated in the included studies were psychosocial interventions ( n = 6; 50.0%), followed by case management and housing support interventions ( n = 4; 33.3%) and Housing First ( n = 2; 16.7%). While several interventions demonstrated effectiveness in promoting meaningful activity participation including psychosocial and case management interventions, Housing First, Critical Time Intervention, and a peer support intervention were found to be ineffective for promoting engagement in meaningful activity. Conclusion. Few intervention studies have been conducted that demonstrate effectiveness for promoting participation in meaningful activity for individuals during and following homelessness. Occupational therapy researchers and practitioners can build on existing evidence by developing and evaluating novel approaches by co-designing interventions in collaboration with persons with experiences of homelessness and service providers.
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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 | 0.023 | 0.097 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.012 | 0.011 |
| Bibliometrics | 0.010 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.004 | 0.003 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".