Response Shifts in the Canadian Occupational Performance Measure: A Convergent Mixed-Methods Study
Bibliographic record
Abstract
IMPORTANCE: A response shift (RS) is a phenomenon in which there is an individual perceptual gap between pre and post assessments. RS effects were not considered in the Canadian Occupational Performance Measure (COPM) development process. OBJECTIVE: To detect the effects of RS on the COPM. DESIGN: Convergent mixed-methods research. SETTING: Subacute rehabilitation hospital in Japan. PARTICIPANTS: Nineteen adult patients with a range of neurological and musculoskeletal conditions recruited from a subacute rehabilitation hospital. OUTCOMES AND MEASURES: In the qualitative analysis, patients' perceptions regarding occupation identified by the COPM were compared between the initial assessment (Time 1 [T1]) and a reassessment (Time 2 [T2]). In the quantitative study, patients were asked to re-rate the occupations in which the RS had occurred, giving feedback on their perceptions at T1 (T2'). The difference between T2 and T2' was calculated to clarify the magnitude of the RS. RESULTS: Of the 19 patients, 18 had an RS in at least one occupation. The RS effects were classified into five categories: Replacing, Adding, Reducing, Unspecified, and Embodiment. Ninety occupations were extracted from all the patients, and 46 (51.1%) were affected by RS. The percentages of occupations for which the change in score due to RS exceeded the minimal clinically important difference (±2 points) was 26.1% (12 of 46) for COPM-Performance scores and 30.4% (14 of 46) for COPM-Satisfaction scores. CONCLUSIONS AND RELEVANCE: Diverse RS effects have been identified in the COPM, which also affect score interpretation. Plain-Language Summary: The Canadian Occupational Performance Measure has a potential measurement bias that is due to a response shift in which there is an individual perceptual gap between pre and post assessments. The results of this study reveal a need to establish more accurate measurement methods to reduce the impact of response shifts on COPM scores.
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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 | 0.056 | 0.088 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.003 |
| Research integrity | 0.001 | 0.001 |
| 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 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".