Development and pilot testing of an occupational therapy intervention program based on Occupational Adaptation Model for caregivers of people with multiple sclerosis
Bibliographic record
Abstract
Introduction: level of performance and adaptive process. This study aimed to (i) describe the steps of developing an occupation-based program based on the Occupational Adaptation Model (OAM), and (ii) make a preliminary assessment of the feasibility of the program prepared for caregivers of people with MS. Method: In a mixed-method approach, the occupation-based program of "Adapting to the Occupational Challenges of Caregivers of people with MS" (AOCCMS) was developed in four steps. During Steps 1, 2, and 3 the AOCCMS program was developed and in step 4, the feasibility and acceptability of the program were evaluated. Results: Based on the results of step 1 that have been published in the past; time limitations in occupation implementation; care needs in occupation implementation; psychological reactions affecting occupations were occupational challenges affecting the daily occupations of caregivers. Also, occupational adaptation strategies were strategies to alleviate intrapersonal challenges of occupational adaptation and strategies to alleviate environmental challenges of occupational adaptation. In step 2, the intervention programs of studies on caregivers were reviewed. During step 3, the data obtained from steps 1 and 2 were merged and integrated. Finally, the AOCCMS program was developed. In step 4, during the feasibility and acceptability of the program, 75% caregivers were satisfied with the program content. The quality of the program content was excellent and very good for 100%. Conclusion: The AOCCMS is an occupation-based program which was evaluated to be feasible and acceptable, which may be further addressed in future research and clinical practice.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".