Subgroup Analyses of Girl2Girl, a Text Messaging-Based Teen Pregnancy Prevention Program for Sexual Minority Girls: Results from a National RCT
Notice bibliographique
Résumé
Abstract This study aims to investigate whether Girl2Girl, a text messaging-based pregnancy prevention program for cisgender LGB+ girls, had different effects on subgroups based on age, sexual identity, and experience with penile-vaginal sex. A total of 948 girls, 14–18 years old, were recruited nationally via social media and enrolled over the telephone. Once they completed the baseline, they were randomized to either Girl2Girl or an attention-matched control program that discussed “healthy lifestyle” topics (e.g., self-esteem). Both programs were 5 months long: Girls received daily messages for 8 weeks, and then went through a “latent” period of 3 months, and finished with a 1-week review. Outcome measures included condom-protected sex, uptake of other types of birth control, abstinence, and pregnancy. Measures were collected at baseline; 3-month, 6-month, 9-month, and 12-month post-intervention end, which was 17 months after enrollment. Effect modification was examined using longitudinal mixed effects models. Overall, results suggested significant moderating effects of age, (f2 = .12), sexual identity (f2 < .14), and sexual experience (f2 = .11) on rates of condom use and use of other contraception. Although there were no significant moderating effects on pregnancy, abstinence, or intentions to use condoms, use birth control, or be abstinent, (p’s > .16), patterns of effects were in the same direction as for significant findings. For example, at 9-month post-intervention, among those who identified as bisexual, the incidence rate of protected sex events was 39% higher for intervention vs. control (IRR = 1.39, 95% CI: 1.06–2.70), adjusting for baseline rate of condom use and sexual experience. Similarly, at 12 months, among bisexual participants, intervention participants had a significantly higher IRR of condom-protected sexual events (IRR = 2.65, 95% CI: 1.31–5.34). There were also higher odds of uptake of birth control use other than condoms for intervention vs. control at 6- (OR = 1.10, 95% CI: 1.01–1.77), 9 m (OR = 1.11, 95% CI: 1.07–1.89), and 12-month (OR = 1.13, 95% CI: 1.07–1.78) follow-up. Girl2Girl appears to be particularly effective for older adolescents, bisexual girls, and those who have already had penile-vaginal sex. No one single approach is going to affect teen pregnancy. Instead, it is more likely that different intervention content and delivery methods will be more accessible and salient to some but not other youth. Understanding for whom the intervention works is just as important as understanding for whom the intervention does not, as this can inform opportunities for future intervention development. Clinical Trial Registration: ClinicalTrials.gov ID# NCT03029962.
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,019 | 0,042 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,004 | 0,012 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,004 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».