Appropriateness of Medications in Older Adults Living With Frailty: Impact of a Pharmacist-Led Structured Medication Review Process in Primary Care
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Bibliographic record
Abstract
Background: Older persons with frailty take multiple medications and are vulnerable to inappropriate prescribing. Objective: This study assesses the impact of a team-based, pharmacist-led structured medication review process in primary care on the appropriateness of medications taken by older adults living with frailty. Methods: This was a quasi-experimental pretest-posttest design in 6 primary care practices within an academic clinic in Edmonton, Alberta, Canada. We enrolled community dwelling older adults 65 years and older with frailty who have polypharmacy and/or 2 or more chronic conditions (ie, high-risk group for drug-related issues). The intervention was a structured pharmacist-led medication review using evidence-based explicit criteria (ie, Beers and STOPP/START criteria) and implicit criteria (ie, pharmacist expertise) for potentially inappropriate prescribing, done in the context of a primary care team-based seniors’ program. We measured the changes in the number of medications pre- and postmedication review, number of medications satisfying explicit criteria of START and STOPP/Beers and determined the association with frailty level. Data were analyzed using descriptive and inferential statistics (a priori significance level of P < .05). Results: A total of 54 participants (61.1% females, mean age 81.7 years [SD = 6.74]) enrolled April 2017 to May 2018 and 52 participants completed the medication review process (2 lost to hospitalization). Drug-related problems noted on medication review were untreated conditions (61.1%), inappropriate medications (57.4%), and unnecessary therapy (40.7%). No significant changes in total number of medications taken by patients before and after, but the intervention significantly decreased number of inappropriate medications (1.15 meds pre to 0.9 meds post; P = .006). Conclusion: A pharmacist-led medication review is a strategy that can be implemented in primary care to address inappropriate medications.
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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 | 0.002 | 0.000 |
| 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 | 0.002 |
| 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