Accuracy of Inpatient Recall of Interaction With a Pharmacist: A Validation Study From 2 Acute Care Teaching Hospitals
Bibliographic record
Abstract
BACKGROUND: Research has shown that inpatients may not accurately report interacting with a pharmacist. OBJECTIVE: To determine accuracy of patients' recollection of meeting with a pharmacist at 2 acute care teaching hospitals in Edmonton, Alberta, Canada. METHODS: Retrospective review of 391 surveyed patients discharged from April 2013 to March 2014. Responses to meeting a pharmacist (yes/no) were compared with 2 reference standards: pharmacist documentation in patient charts and pharmacist clinical workload data. Sensitivity, specificity, positive predictive, and negative predictive values were calculated. RESULTS: One hundred ninety-five (49.9%) respondents reported meeting with a pharmacist. Of these, 71 (36.4%) had corresponding pharmacist chart documentation. Of the 196 respondents who reported not speaking with a pharmacist, 73 (37.2%) had documentation present. Compared with patient charts, sensitivity and specificity were 49.3% and 49.8%, respectively. Positive and negative predictive values were 36.4% and 62.8%, respectively. Similar results were seen in comparison with the workload data. CONCLUSIONS: Patients often inaccurately reported meeting with a pharmacist in the acute care setting. The results are useful for pharmacist training, patient education, and for refinement of the current survey question.
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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 | 0.000 | 0.000 |
| 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 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 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".