Validation of the measure of processes of care for adults: a measure of client-centred care
Bibliographic record
Abstract
OBJECTIVE: To assess the psychometric properties of the measure of processes of care for adults (MPOC-A), a measure of client-centredness of care for parents of children with disabilities, adapted for adult health-care settings. DESIGN: A validation study. SETTING: Regional orthopaedic service of a university-affiliated hospital in ON, Canada. PARTICIPANTS: All patients and families who had had joint replacement surgery (Knee or Hip) between January and August of 2007. MAIN OUTCOME MEASURES: MPOC-A and the client satisfaction questionnaire (CSQ). RESULTS: One hundred and seventy-six questionnaires filled out by patients and 81 by family members were analysed. Scales demonstrated high internal consistency (Cronbach's alpha varying from 0.81 to 0.93 for patients and from 0.88 to 0.96 for family members). MPOC-A domain scores were moderately correlated with CSQ total scores (Pearson coefficients varying from 0.44 to 0.66 for patients and from 0.53 to 0.72 for family members). Moderate to good inter-rater agreement [intraclass correlation coefficient (ICC) from 0.50 to 0.74] and high test-retest reliability were found (ICCs varying from 0.73 to 0.83 for patients and from 0.75 to 0.91 for family members). CONCLUSIONS: MPOC-A has demonstrated good psychometric properties. As general satisfaction scores are notoriously poor indicators of the quality of care, this measure can help us understand the elements that contribute to overall judgements of satisfaction and provide a level of understanding that is important to improve service quality and delivery.
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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 | 0.016 | 0.048 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| 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".