The use of coaching in occupational therapy: An integrative review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND/AIM: Coaching has been identified as a core enablement skill of occupational therapists. Occupational therapists have begun to embrace the use of coaching as a therapeutic tool to promote client-centeredness in their practice. As the use of coaching becomes more popular it is important to examine and evaluate coaching use in occupational therapy practice to clarify what is meant by coaching and inform future research and practice in this area. METHODS: An integrative literature review was conducted to examine how coaching is being used by occupational therapists, identify the similarities and differences between coaching interventions and to identify the empirical evidence for the use of coaching in occupational therapy. RESULTS: The literature search resulted in 24 articles describing 11 different interventions that reported use of coaching methods by occupational therapists with various populations. Similarities among interventions included goal setting, problem solving and an educational component. Differences in the directiveness of the occupational therapist were evident. The level of research evidence for individual interventions ranges from low to moderate. CONCLUSIONS: Differences are evident in the coaching theories and methods used in occupational therapy. While evidence of effectiveness of these interventions is promising, study designs used to date are vulnerable to bias and have had small sample sizes, limiting the strength of evidence. More research using clear descriptions of the coaching approach and more robust research methods is needed to better inform clinical practice.
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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 | 0.009 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.005 |
| Insufficient payload (model declined to judge) | 0.001 | 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 it