Request for Antimalarial Medicines and Their Dispensing Without a Prescription in Community Pharmacies in Rwanda
Bibliographic record
Abstract
Purpose: This study aimed to explore the request and dispensing of antimalarial medicines without a prescription in community pharmacies in Rwanda, as well as factors associated. Methods: We employed an embedded mixed-methods design that involved a convenience sample of 235 licensed community pharmacists between February and April 2022. To simultaneously collect qualitative and quantitative data, we used a self-administered questionnaire containing a combination of close and open-ended questions. Bivariate and multivariate regression analyses were performed to examine the relationship between dispensing antimalarial medicines without a prescription and the selected independent variables. Statistical significance was set at p<0.05, and a 95% confidence interval was applied. The factors influencing the dispensing of antimalarial medicines without a prescription were analyzed using thematic content analysis as a qualitative analysis approach. Results: Most respondents (88.5%) were asked to dispense antimalarial medicines by clients without a prescription. More than half of them (54%) agreed, but 34.5% refused; instead, they referred clients to malaria diagnostic testing facilities. Those who had rapid diagnostic tests for malaria in stock (OR=2.08, 95% CI:1.1-3.94), and thought that antimalarials were over-the-counter medicines (OR=7.03, 95% CI:2.01-24.5) were more likely to dispense antimalarial medicines without prescriptions. The primary reasons reported by community pharmacists for dispensing antimalarial medicines without prescriptions included their prior knowledge of malaria diagnosis, client pressure, and fear of losing clients. However, non-adherence to negative results obtained from formal health facilities and long queues at these institutions have also been cited as additional factors driving clients to seek antimalarial medicines without prescriptions. Conclusion: Dispensing antimalarial medicines without prescriptions is a common practice in community pharmacies in Rwanda. The main factors contributing to this practice include lack of awareness regarding the classification of antimalarials as prescription medicines, the availability of malaria diagnostic tests, client pressure, and fear of losing clients.
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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 | 0.011 | 0.009 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.002 |
| 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".