Pharmacist‐led optimization of heart failure medications: A systematic review
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Bibliographic record
Abstract
Abstract Medications are a cornerstone of treatment of heart failure (HF) with reduced ejection fraction, thus pharmacists are valuable members of the multidisciplinary team approach to long‐term patient management. As pharmacists' scope of practice has expanded, growing evidence shows an evolution in pharmacists' roles in the care of patients with HF. To synthesize the literature describing implementation of pharmacist‐led medication titration and clinical assessments on outcomes in ambulatory patients with HF. MEDLINE, Embase, and Cochrane Controlled Register of Trials were searched from 2007 to March 18, 2020. English language articles that evaluated implementation of pharmacist‐led medication titration in ambulatory patients with HF. Studies with interventions that involved pharmacists prescribing to initiate, modify, or discontinue medications with independent authority or under a collaborative practice agreement were considered. Ten retrospective studies from 718 identified articles were included. All studies incorporated pharmacist‐led guideline‐directed medical therapy (GDMT) titration, two with independent pharmacist prescribing in a multidisciplinary HF clinic, and seven in a pharmacist‐only clinic. Patients were referred from both inpatient and outpatient settings and had an average reported range of 1–5.7 visits with pharmacists. While four studies exclusively included patients with HF and ejection fraction below 45%, the mean ejection fraction of all included patients ranged from 20% to 42%. Four studies showed an increased proportion of patients on GDMT or target doses after pharmacist prescribing. Four out of six studies showed a significant decrease in all‐cause hospitalizations and one of two studies reported a significant decrease in all‐cause mortality rate with intervention. This study found that pharmacist‐led medication optimization increased the use of GDMT in ambulatory patients with HF, and may be associated with fewer hospitalizations and deaths. Future randomized controlled trials should evaluate the impact of adding pharmacist‐led HF medication optimization to standard of care on clinical outcomes.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.010 | 0.004 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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