Transitions de soins pharmaceutiques chez les personnes âgées : une évaluation de la mise en place
Bibliographic record
Abstract
Background : Pharmacist-led transitions of care between hospital and community settings have been associated with decreased hospitalizations. Little data is available on the optimal conditions for their implantation.Purpose of research : The study aims to analyze the implementation of a pharmacist-led transition of care intervention among older adults with drug-related problems. The objectives are to describe the main characteristics of the intervention and to identify the facilitators and the barriers to its implementation.Methods : A single case study design including individual interviews (n = 10 interviews) and document analysis was preferred. Damschroder’s conceptual implementation framework guided the analysis.Results : The main characteristics of the intervention are the interdisciplinary collaboration and clarity of the involved professional’s roles, the time dedicated to the intervention and the improvement of interdisciplinary communication mechanisms. The implementation facilitators include the availability of leaders and clinical champion, as well as the perception and collaboration of professionals. The Barriers include the limitations in integrating the intervention into routine care in terms of time and resources, the adoption and lack of skills in using an electronic medical record and the difficult access to some patients for follow-ups.Conclusions : The analysis of the main characteristics of the intervention, the facilitators and the barriers to its implementation demonstrate the feasibility of this pharmacist-led transition of care intervention and the issues associated with its integration into routine care in the Canadian health system.
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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 | 0.017 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.003 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.004 | 0.004 |
| Open science | 0.001 | 0.003 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.001 | 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".