Connoisseurs of Care? Unannounced Standardized Patients’ Ratings of Physicians
Bibliographic record
Abstract
BACKGROUND: Patient satisfaction surveys can be informative, but bias and poor response rates may limit their utility as stable measures of physician performance. Using unannounced standardized patients (SPs) may overcome some of these limitations because their experience and training make them able judges of physician behavior. OBJECTIVES: We sought to understand the reliability of unannounced SPs in rating primary care physicians when covertly presenting as real patients. STUDY DESIGN: Data from 2 studies (Patient Centered Communication [PCC]; Social Influences in Practice [SIP]) were included. For the PCC study, 5 SPs made 192 visits to 96 physicians; for the SIP study, 18 SPs made 292 visits to 146 physicians. SPs visits to physicians were randomized, thus avoiding mutual selection bias. Each SP rated 16 to 38 physicians on interpersonal skills (autonomy support: PCC, SIP), technical skills (information gathering: SIP-only), and overall satisfaction (SIP-only). We evaluated SP evaluation consistency (physician vs. total variance rho), and SPs' overall satisfaction with specific dimensions of physician performance. RESULTS: Scale reliability varied from 0.71 to 0.92. Physician rhos (95% confidence intervals) for autonomy support were 0.40 (0.22-0.58; PCC) and 0.30 (0.14-0.45; SIP); information gathering rho was 0.46 (0.33-0.59; SIP). Overall SP satisfaction rho was 0.47 (0.34-0.60; SIP). SPs varied significantly in adjusted overall satisfaction levels, but not other dimensions. CONCLUSIONS: These analyses provide some evidence that medical connoisseurship can be learned. When adequately sampled by trained SPs, some physician skills can be reliably measured in community practice settings.
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How this classification was reachedexpand
Direct model labels (unvalidated)
Per-model category and study-design labels from the labeling rounds. They are machine output, unvalidated, and the disagreement between models ships as data. No study design here is MEDLINE-validated yet.
| Model arm | Categories | Study design | Confidence |
|---|---|---|---|
| gemma | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
| gpt | no category Domain: not available · Genre: Empirical About the Canadian research system: no · About a Canadian topic: no | Observational | low |
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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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, unvalidatedLabeled directly by 2 models reading the full record.
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".