A Multidisciplinary Team of a Physician and Clinical Pharmacists Managing Hypertension
Bibliographic record
Abstract
Background: Providing effective pharmaceutical care to ambulatory care patientswith chronic diseases presents an enormous challenge. Medication therapy management (MTM) is defined as the direct, responsible provision of medicationrelated care for the purpose of achieving definite outcomes that improve a patient’s quality of life. MTM is a patient-centred service, typically provided by clinical pharmacists in collaboration with physicians and other healthcare providers, that seeks to improve the quality of medication use and intended results among patients who are at high risk of having adverse reactions from medications.Methods and Findings: We tested the hypothesis that MTM provides both improved outcomes and cost reduction as determined by differences in the measurable outcomes (lipid levels, tobacco consumption, weight, prescription cost, and average blood pressure values). Patients were given, at random, the opportunity to participate in MTM in a 5-month period. We found there was a significant reduction in blood pressure, glucose, LDL, triglycerides, cholesterol, and cost for patients participating in MTM.Conclusions: MTM may improve pharmacotherapy outcomes and reduce medication costs.
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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 | 0.002 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.003 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.032 | 0.005 |
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".