Use of social media for sexual health promotion: a scoping review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: In order to prevent sexually transmitted infections (STIs), the World Health Organization recommends educating people on sexual health. With more than 2 billion active users worldwide, online social media potentially represent powerful channels for health promotion, including sexual health. OBJECTIVE: To review the scientific literature on the use of online social media for sexual health promotion. DESIGN: A search was conducted of scientific and medical databases, and grey literature was also included. The selected publications were classified according to their study designs, sexual health promotion main subject, target audience age, and social media use. RESULTS: Fifty-one publications were included; 4 publications presenting randomized intervention studies, 39 non-randomized intervention studies, and 8 observational studies. In 29 publications (56.9%), the main subject of the sexual health promotion was 'general' or to increase STI testing. Thirty publications (58.8%) specifically focused on youth or young people (aged 11-29 years). Fourteen publications that used social media either as unique channels for sexual health promotion interventions or as a tool supporting the sexual health promotion reported an effect on behavior (27%), and two of those studies found a reduction in the number of positive chlamydia and gonorrhea cases linked to social media intervention. Forty-four publications (86.3%) involved Facebook in some way. CONCLUSIONS: Although billions of people worldwide actively use social media, we identified only 51 publications on the use of social media for promoting sexual health. About a quarter of the publications have identified promising results, and the evidence for positive effects of social media interventions for promoting sexual health is increasing. There is a need for more studies that explicitly discuss their theoretical framework, and that have strong research designs, in order to further increase the evidence base of the field.
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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 | 0.003 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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 it