Impact of a pharmaceutical care model for non-institutionalised elderly: results of a randomised, controlled trial
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Objectives To measure the impact of a community-based geriatric pharmaceutical care model on specific process measures. Methods The model was evaluated using a prospective, randomised, controlled study design. Clients who self-presented or were referred by Home Care were eligible if they were 65 years of age or older, non-institutionalised, taking two or more prescribed or non-prescribed medications, and willing to provide signed informed consent. A pharmacist conducted a comprehensive drug therapy review on test clients, then addressed issues with the client and/or the client's physician, with follow-up as required. Measurements included number of drugs, drug knowledge, adherence to therapy, cost of prescribed medicines, and number of reported symptoms obtained from a home medication history conducted by trained volunteers, the provincial prescription claims database, and response to a physician survey. Setting The pharmaceutical care model was situated within a community-based interdisciplinary health clinic targeting non-institutionalised elderly. Key findings One hundred and thirty-five clients were randomised to test (n=69) or control (n=66). A mean of 14.4 (SD 4.6) potential or actual issues were identified in test clients. Ninety-four per cent of physicians agreed with at least one of the pharmacist's recommendations but only 230 of 794 recommendations by the pharmacist (29 per cent) resulted in a change. There was no difference in overall number of prescribed or over-the-counter medications, drug costs, symptoms reported, drug knowledge or medication adherence between test and control groups post-intervention. Future research Further research is needed to identify barriers to changing drug use behaviour and facilitating acceptance of pharmaceutical care in the community.
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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 | 0.010 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 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