Quality Improvement Project to Reduce Drug-Related Problems (DRPs) and Potentially Inappropriate Medications (PIMs) in Geriatrics Cardiac Clinic in Saudi Arabia
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: Elderly people have a high risk of potentially inappropriate medications (PIMs) and drug-related problems (DRPs) due to polypharmacy, physical and mental limitations, pharmacokinetic, and pharmacodynamics changes. PURPOSE: To determine the role of geriatric pharmacists in reducing drug-related problems and potentially inappropriate medication. METHODS: The observational study was conducted from October 2014 to October 2017 to show the prevalence of DRPs, and PIMs. A total of 375 geriatric cardiology patients (aged ≥ 65) were recruited from Geriatrics Cardiac Clinic in Saudi Arabia. AGS Beers Criteria 2012 and STOPP/START Criteria were used to view the impact of services directed by clinical pharmacists in decreasing DRPs and PIMs including medication review, intervention, and education to junior physicians during multi-disciplinary rounds (MDRs) and by sending e-mail alerts. RESULTS: DRPs were found in 29.6% of patients and PIMs were found in 19% of patients. After medication review, 25% required interventions and the majority (89%) of interventions were accepted by the managing team. DRPs were found in 14.9% of patients and PIMs were found in 9.6% of the patients. DRPs and PIMs were reduced almost by 50% by reviewing the files and educating the involved physicians. CONCLUSION: This prospective study confirms a high prevalence of DRPs and PIMs in Saudi elderly cardiac patients.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| 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 it