Concerns and awareness of acne patients about isotretinoin in qassim region of saudi arabia.
Bibliographic record
Abstract
BACKGROUND: Oral Isotretinoin is the most effective choice in the treatment of severe acne, It is the most widely prescribed teratogenic drug in the USA and Canada. Due to large number of its adverse effects and the necessity of long term use, patients have difficulties in complying with the treatment and some may refuse taking the drug. OBJECTIVES: To assess knowledge, concerns and awareness of acne patients in Qassim region, Saudi Arabia, about Isotretinoin, including the factors that may affect compliance. SUBJECTS AND METHOD: This non-interventional cross-sectional survey was conducted through distribution of questionnaires over two months period from 8th May to 23rd July 2009 in acne patients from the Qassim region. The returned questionnaires were analyzed using SPSS version 17.0. The P <0.05 was accepted as cut-off point for statistical significance. RESULTS: Three hundred fifty six acne patients were included in the study, 57.6% were female and 42.3% were male; 76.7% knew about Isotretinoin and its uses, the main source of information (for both genders) was the physician, followed by other acne patients. Sixty three percent of subjects knew about the adverse effects of the drug. Dryness and teratogenicity were the most well-known adverse effects and 85.9% didn't have any objection in using the drug. Adverse effects followed by duration of the treatment were the top concerned issues. Out of those who were using the drug, dryness of the lips and face were the most disturbing adverse effects. CONCLUSION: A majority of acne patients have the knowledge about Isotretinoin and its adverse effects. This study highlighted the importance of health education for better acceptance of this drug. Patients should be instructed about proper moisturization methods while using this drug.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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 source (direct Gemma or distilled Codex), 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".