Trends in Scientific Production on Pharmaceutical Follow-up andthe Dader Method
Bibliographic record
Abstract
Objective: Pharmacotherapeutic Follow-up is the Professional Pharmaceutical Care Service aimed at detecting Drug-Related Problems for the prevention and resolution of negative medicine outcomes. The Dader Method is considered a clear and simple tool to develop Pharmacotherapeutic Follow-up. This research aims to analyze the evolution of the international scientific production related to Pharmacotherapeutic Follow-up and the Dader Method to show the current situation of this Professional Pharmacy Assistance Service. In addition, from the data obtained, we give a critical perspective on the implementation of the Dader Method in Community Pharmacy, considering its advantages and disadvantages based on the published scientific literature. Methods: Using bibliometrics tools, indicators were obtained to analyze the international production of scientific articles on Pharmacotherapeutic Followup and the Dader Method during the period (1999-2022) through the Scopus database. Results: The results showed a growth in the international scientific production of publications on Pharmacotherapeutic Follow-up, obtaining 30,287 papers, placing the United States, the United Kingdom, Australia, Canada and Spain as the five most productive countries. The publication of 83 papers on the Dader Method places Spain with the highest number of publications, followed by other Spanish or Portuguese speaking countries, among which Brazil and Colombia have the most prominent number of published papers in Latin America. The most frequent international journal covering the topic of Pharmacotherapeutic Follow-up was the American Journal of Health- Pharmacy (12.4%), while on the Dader Method, the journal Pharmaceutical Care Spain (21.7%) is in the first position, followed by Farmacia Hospitalaria (8.4%). Conclusion: The publications on the Dader method highlighs the greater productivity of the University of Granada and the author María José Faus Dáder. The inclusion of patients in the PTF service using the Dader Method, is more frequent in the hospital context, and is based on the presence of defined chronic pathologies (mainly diabetes), polymedication or specialized care follow-up, with elderly population being the most represented in all cases
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How this classification was reachedexpand
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".