The Acne Education Project: An educational initiative to improve acne health literacy and promote help‐seeking behavior in young adolescents
Bibliographic record
Abstract
BACKGROUND: Acne vulgaris is an inflammatory skin condition that is associated with poor acne health literacy. Diminished acne health literacy leads to delays in the access of health care, resulting in mismanagement, disfigurement, and psychosocial morbidity. This study evaluates the potential role of early acne education in young adolescent populations to improve acne health literacy and facilitate help-seeking behavior. METHODS: The Acne Education Project is a Canadian medical student-led initiative founded to create evidence-based resources to increase acne health literacy. A 45-min interactive Zoom presentation on acne was created and delivered to 2292 students ages 9-13 in British Columbia, Canada. A quality improvement survey was administered pre-intervention, immediate post-intervention, and 1-month post-intervention to evaluate baseline acne knowledge and knowledge retention to guide presentation and resource development. RESULTS: Responses from 676 unique individuals were collected. Analysis using linear mixed-effects models demonstrated that respondents were significantly more confident in their general knowledge of acne, strategies to prevent acne, identification of psychosocial sequelae of acne, and more willing to seek help immediately post-intervention (p < .001). Differences in scores were not fully preserved in magnitude at the 1-month post-intervention assessment. However, students still scored significantly higher in all categories compared to the pre-intervention baseline (p < .001). CONCLUSION: Our findings suggest that early acne education can improve acne health literacy and promote help-seeking behavior. Given the potential long-term implications, further research is needed to explore the long-term impact of early acne education and the benefit of integrating acne education into the public education curriculum in Canada.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".