A report of Kabul internet users on self-medication with over-the-counter medicines
Bibliographic record
Abstract
Self-medication (SM) with over-the-counter (OTC) medications is a prevalent issue in Afghanistan, largely due to poverty, illiteracy, and limited access to healthcare facilities. To better understand the problem, a cross-sectional online survey was conducted using a convenience sampling method based on the availability and accessibility of participants from various parts of the city. Descriptive analysis was used to determine frequency and percentage, and the chi-square test was used to identify any associations. The study found that of the 391 respondents, 75.2% were male, and 69.6% worked in non-health fields. Participants cited cost, convenience, and perceived effectiveness as the main reasons for choosing OTC medications. The study also found that 65.2% of participants had good knowledge of OTC medications, with 96.2% correctly recognizing that OTC medications require a prescription, and 93.6% understanding that long-term use of OTC drugs can have side effects. Educational level and occupation were significantly associated with good knowledge, while only educational level was associated with a good attitude towards OTC medications (p < 0.001). Despite having good knowledge of OTC drugs, participants reported a poor attitude towards their use. Overall, the study highlights the need for greater education and awareness about the appropriate use of OTC medications in Kabul, Afghanistan.
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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 | 0.001 |
| 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".