Description of a systematic pharmaceutical care approach intended to increase the appropriateness of medication use by elderly patients
Bibliographic record
Abstract
BACKGROUND & AIMS: The pharmaceutical care practice represents a model of responsible pharmacist involvement in the pharmacotherapy optimization of various population groups, including the elderly, known to be at risk for drug-related problems. Romanian pharmacists could use validated pharmaceutical care experiences to confirm their role as health-care professionals. This descriptive research presents the application in two real and different environments of practice of a structured pharmaceutical care approach conceived as the basis for a medication review activity and aiming at the identification and resolution of the drug related problems in the elderly. PATIENTS AND METHODS: Two patients with similar degree of disease-burden complexity, receiving care in different health-care environments (The Geriatric Ward of the Royal Victoria Hospital from the McGill University Health Centre in Montréal, Québec, Canada, in November 2010, and an urban nursing-home facility in Cluj-Napoca, Romania, in March 2011), were chosen for the analysis. One clinical pharmacist suggested solutions for the management of each of the active drug-related problems identified, using the systematic pharmaceutical care approach and specific published geriatric pharmacotherapy recommendations. The number of the drug-related problems identified and the degree of the care-team acceptance of the pharmacists' solutions were noted for each patient. RESULTS: The pharmacist found 6 active drug-related problems for the hospitalized patient (72 year-old, Chronic Disease Score 9) and 7 potential ones for the nursing-home resident (79 year-old, Chronic Disease Score 8), involving misuse, underuse and overuse of medications. Each patient had 3 geriatric syndromes at baseline. The therapy changes suggested by the pharmacist were implemented for the hospitalized patient, through collaboration with the health-care team. For the nursing home resident, the pharmacist identified the need for additional 6 medications and safety and efficacy arguments to cease 7 initial therapies, simplifying the therapeutic daily schedule (from 24 daily doses to 15). CONCLUSION: The pharmacist's potential contribution to the optimization of the Romanian elderly patients' pharmacotherapy needs further exploration, as potential drug related problems reported as characteristic for this population were easily identified. The presented structured and validated model of pharmaceutical care approach could be used to this end. Its dissemination and use could be encouraged along with the enhancement of pharmacotherapy information and care team collaboration skills.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".