Antimicrobial Use and Management of Childhood Diarrhea at Community Drug Retail Outlets in Eastern Ethiopia: A Matched Questionnaire-Based and Simulated Patient-Case Study
Bibliographic record
Abstract
Introduction: Antimicrobial agents have saved millions of lives worldwide. However, inappropriate use has become a global concern leading to the emergence and spread of antimicrobial resistance (AMR). In this regard, the dispensing practices of pharmacy professionals in the community drug retail outlets (CDROs) plays a central role. Therefore, this study was aimed to assess the knowledge and dispensing practices of pharmacy professionals in the management of childhood diarrhea in CDROs of Eastern Ethiopia. Methods: A community based cross-sectional study was conducted in 100 randomly selected CDROs in Eastern Ethiopia from 1 August to 30 September 2020. Data were collected with a structured questionnaire matched with a simulated patient case. Descriptive statistics were employed to summarize variables. Cohen's Kappa was analyzed to measure the degree of agreement between questionnaire-based and simulated patient-based methods. Binary logistic regression analysis was conducted to determine factors associated with inappropriate dispensing practice. Results: Majority of the participants were aged 25-34 years (median: 29 years). High proportion of them were male (65%) and had work experiences of two or more years. Majority (61%) of the professionals were knowledgeable about AMR. Out of 2886 scores, 745 scores were agreed on Cohen's Kappa interrater agreement scale with the overall percent agreement between the two methods being 26.0%. Besides, about 67% of dispensing practices to the simulated patient case was found inappropriate. On the multivariate analysis, insufficient knowledge of retailers on AMR was significantly associated with the inappropriate dispensing of antimicrobial agents. Conclusion: A considerable proportion of retailers had insufficient knowledge regarding the emergence and spread of AMR. Only a quarter of their questionnaire-based knowledge response agreed with simulated-patient-based actual practice, indicating weak agreement between the two methods and high level of inappropriate practice. Besides, insufficient knowledge of retailers was significantly associated with their inappropriate dispensing of antimicrobials.
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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 | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| 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 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".