Capturing patients' views on communication with anaesthetists: the CARE Measure
Why this work is in the frame
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Bibliographic record
Abstract
Purpose The purpose of this paper is to determine the relevance and reliability of the ten-item Consultation and Relational Empathy (CARE) Measure as a tool for measuring patients' views of anaesthetists during preoperative assessment consultations. Design/methodology/approach Self-completed patient questionnaire containing the ten-item CARE Measure. Consecutive adult patients were asked to complete the ten-item CARE questionnaire immediately after their pre-operative assessment consultation with the anaesthetist and return it to a designated local co-ordinator. Reliability co-efficient of the overall measure, and relevance of each item to patients' concerns were measured. Findings Using the Measure, 31 consultant anaesthetists were assessed by 1,582 patients (559 male, 952 female). The total number of “not applicable” responses was 1,086, (6.8 per cent of the total number of possible “not applicable” responses). The overall number of missing values was 0.6 per cent. The measure effectively discriminated between doctors (reliability co-efficient of the average score per doctor provided by 40 patients was above 0.8) and had high internal consistency (Cronbach's alpha, 0.93). Originality/value The present study presents evidence of a tool which may have utility in anaesthetics and other settings.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| 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 it