Self-medication: Prevalence among Undergraduates in Kathmandu Valley
Bibliographic record
Abstract
Background: Self-medication is defined as the use of medicines to treat self-recognized or self-diagnosed conditions or symptoms, instead of seeking advice from professionals.
 Aim: Our study was aimed to assess knowledge, attitude and practice of self-medication among undergraduates in different colleges of Kathmandu valley.
 Methods: Descriptive cross-sectional study was carried out among undergraduates of Kathmandu valley. A semi-structured questionnaire was distributed to students in 4 different colleges. Chi-square test was used to determine statistical significance. Likert’s scale was used to measure attitude.
 Results: 240 students participated in this study. Totally, (92.9%) students had known and taken medicine without doctor’s prescription. More than half of the participants (56.6%) had good knowledge on self-medication and nearly three quarter (74.7%) of the respondents had a positive attitude regarding self-medication. Fever, cough/cold and aches/pain were the most common symptoms for self-medication, thus making antipyretics and analgesics the most popular self-medication drugs. Pharmacists and family were the major source of information regarding self-medication.
 Conclusion: Based on the findings, the prevalence of self-medication was high (94.9%). Majority respondents had good knowledge of the advantages and disadvantages of self-medication but still practiced it.
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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 | 0.002 | 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".