Estimated extent of purchasing of antibiotics without a prescription from community pharmacies in a rural province in South Africa and the implications
Bibliographic record
Abstract
Background Antimicrobial resistance is a considerable global health threat especially among low- and middle-income countries, exacerbated by considerable inappropriate dispensing of antibiotics. There have though been concerns with variable levels of dispensing of antibiotics without a prescription in South Africa. Consequently, a need to comprehensively estimate current levels of dispensing of antibiotics without a prescription, which was the aim of this study. Methods Administer a previously piloted questionnaire to all currently operating community pharmacies in a rural province, where dispensing of antibiotics without a prescription is likely to be greatest. The questionnaire included data on the estimated prevalence of antibiotics dispensed, their class and indication, and whether dispensed without a prescription. Community pharmacies were categorized into three: Independent, Chain and Franchise. Results 128/169 (75.7%) operational pharmacies participated, with independent pharmacies representing the majority (60.9%). There was a 78.3% response rate from 400 distributed questionnaires, including 106 pharmacists (33.9%) and 207 pharmacist assistants (66.1%) from 128 pharmacies. Antibiotics accounted for 47.9% (95% CI: 47.2%-48.6%) of all medicines dispensed. Penicillins were the most prevalent antibiotic dispensed (41.1%). Almost half (47.2%) of the antibiotics dispensed included macrolides, fluoroquinolones and cephalosporins, which are typically antibiotics from the Watch group. Sexually transmitted infections (33.5%) and upper respiratory tract infections (25.8%) were the most frequent indications for antibiotic dispensing. Overall, 69.3% of 128 participating pharmacies in this rural province in South Africa admitted to dispensing antibiotics without a prescription in the past 14 days, principally among independent pharmacies (98.7%). However, estimates suggest only 8.6% of the total volume of antibiotics being dispensed were dispensed without a prescription among the 88 community pharmacies admitting to this practice in the past 3 days. Encouragingly, 98.1% of community pharmacists and 97.6% of pharmacist assistants indicated they always or mostly offered symptomatic relief before dispensing antibiotics without a prescription to patients with self-limiting conditions. Conclusion There were considerable concerns regarding the prescribing and dispensing of antibiotics in this rural province including Watch antibiotics. This included the number of community pharmacies, especially independent pharmacies, where patients could purchase antibiotics without a prescription. Multiple strategies involving all key stakeholder groups are need to improve future antibiotic use across South Africa and reduce AMR.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 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 | 0.001 |
| 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".