Evaluation of Physicians’ Compliance With Secondary Prevention Among Ischemic Stroke Patients: A Retrospective Study
Bibliographic record
Abstract
Background: Stroke is a leading cause of disability and death worldwide. Globally, stroke affects 13.7 million individuals every year. Several studies have shown an increase in the rehospitalization rate among stroke patients caused by non-adherence to secondary prevention as recommended by the American Heart Association/American Stroke Association (AHA/ASA) guideline. The aim of this study was to evaluate physicians' compliance with secondary prevention of stroke upon patients' discharge. Methods: A retrospective chart review study was conducted at King Fahad Medical City. The primary outcome of this study was the number of patients discharged with the recommended medications for the secondary prevention of ischemic stroke (IS). The data were collected from the patient's medical record files and analyzed using the Statistical Package for the Social Sciences (SPSS). Results: Of the 675 patients who were screened for eligibility, 507 were included and 168 were excluded. The mean age of the patients was 59.5 (± 15.6) years. Of the 507 patients, 181 (35.7%) had a history of previous stroke. Overall, 376 (74%) stroke patients were discharged with appropriate secondary prevention recommendation per AHA/ASA guideline. Conclusions: This study stresses the importance of compliance with the AHA/ASA guideline for secondary stroke prevention and highlights the role of pharmacists in the stroke unit in which it is necessary to ensure that all stroke patients are discharged with the recommended medications to reduce recurrent stroke.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".