Pharmacist care for hypertension management among patients with diabetes: a systematic review
Bibliographic record
Abstract
Abstract Background Improving blood pressure (BP) control is of major importance among patients with diabetes, due to their high risk of micro- and macrovascular complications. Community-based models of care with the involvement of pharmacists and other nonphysician healthcare providers can help manage hypertension. We aimed to estimate the effectiveness of pharmacist interventions, alone or in collaboration, on BP among outpatients with diabetes and hypertension. Methods We conducted systematic searches of randomized controlled trials assessing the effect of pharmacist interventions on BP among outpatients with hypertension and diabetes compared to usual care. The outcome was the systolic and diastolic BP change or BP control. We performed a meta-analysis with random effects models and results are presented by mean difference along with relative 95% CI.We will perform subgroup analyses for the types and intensity (duration, frequeny) of pharmacist interventions, patients’ characteristics, and healthcare settings. The protocol was registered in PROSPERO (CRD42021279751) and published in an open-access peer-reviewed journal. Results Out of 2048 study records identified by electronic database searching, we included 9 studies, with 5067 participants, published between 2008 and 2022. These studies were conducted mainly in North America (n = 5; other regions: n = 4). The intervention was led by the pharmacist in 78% of the studies and in collaboration with other healthcare providers in 22%. Pharmacist intervention included patient education in 67%, healthcare providers education in 11% of studies and feedback to healthcare providers in 44% of the studies. Systolic and diastolic BP were reduced after pharmacist intervention by -5.6 mmHg (95% CI: -10.6 to -0.6) and -4.1 mmHg (95% CI: -7.1 to -1.2) respectively. Additional analyses will be presented at the congress. Conclusions Pharmacist interventions improve blood pressure control in hypertensive diabetic outpatients. Key messages • Recent hypertension guidelines recommend pharmacist involvement in hypertension care management. • This systematic review provide updated evidence on the effect of pharmacist interventions on hypertension management of patients with diabetes.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.022 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.009 |
| Bibliometrics | 0.004 | 0.005 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".