Efficacy of Occupational Therapy Interventions in Improving Cognitive Function and Daily Living Skills Among Individuals with Substance Use Disorder: A Pilot Study
Bibliographic record
Abstract
Background: Substance Use Disorder (SUD) is a chronic illness impacting cognitive function, activities of daily living, and quality of life. Occupational therapy (OT) interventions aim to improve functional independence and social reintegration, but their contribution to SUD rehabilitation is not well understood. Methods: This pilot trialassessed the effectiveness of a 4-week, structured OT intervention in enhancing cognitive function and activities of daily living among 12 inpatient SUD subjects. Participants received cognitive training, ADL and IADL instruction, psychoeducation, and exercise sessions. Pre-and post-intervention scores were taken on the Montreal Cognitive Assessment Scale (MoCA), Barthel Index (BI)and Lawton-Brody Instrumental Activities of Daily Living (IADLs) Scale. Results: The findings revealed significant improvements in the MoCA scores (p=0.015), reflecting improved cognitive function. Also, the performance of IADL was significantly better (p=0.001), reflecting an improvement in performing complex daily tasksindependently. Statistically significant improvements were not found in BI scores (p=0.08), reflecting the stability of basic ADLs. Conclusion: OT interventions significantly improve cognitive function and instrumental activities of daily living in SUD-recovering individuals. The results underscore the necessity of integrating OT into SUD rehabilitation programs to enhance long-term functional independence and social reintegration. Large-scale studies are advised to confirm these initial findings. DOI: https://doi.org/10.59564/amrj/03.01/020
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".