Perceptions of preventable medical errors in Alberta, Canada
Bibliographic record
Abstract
OBJECTIVE: (i) To compare public perceptions of the frequency, responsibility, causes and solutions for preventable medical errors for persons who report and do not report having experienced a preventable medical error while receiving healthcare services in Alberta, Canada. (ii) To describe public opinion about confidentiality and disclosure of preventable medical error. (iii) To examine the relationship between reporting preventable medical error and perceived quality of the healthcare system. METHODS: Population-based telephone survey. Households selected by random digit dialing and individual in household selected by most recent birthday. Province of Alberta, Canada. Representative sample of adult Albertans (N = 1500). Public perceptions of the frequency, responsibility, causes and solutions for preventable medical error; opinions about confidentiality and disclosure; perceived quality of the healthcare system. RESULTS: Five hundred and fifty-nine (37.3%; 95% CI 34.8-39.8%) of 1500 respondents reported that they or a family member had ever experienced a preventable medical error while receiving health care in Alberta, Canada. Respondents who reported a preventable medical error were more likely to believe that preventable medical errors occur with greater frequency, were less likely to think that their doctor would tell them if a preventable medical error was made in their care, and tended to rate the quality of the healthcare system less favourably. CONCLUSION: This paper provides healthcare managers and policymakers with insight into the public's perceptions of preventable medical error and may facilitate the development of strategies to improve patient safety, public confidence and public satisfaction with the healthcare system.
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How this classification was reachedexpand
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 | 0.005 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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, unvalidatedMachine predicted; a candidate call from one teacher head, 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".