Evaluating the Intensity of Exposure to MTV Shuga, an Edutainment Program for HIV Prevention: Cross-Sectional Study in Eastern Cape, South Africa
Notice bibliographique
Résumé
BACKGROUND: MTV Shuga is an edutainment campaign designed to equip young people with knowledge, motivation, and informed choices to protect themselves from HIV infection. From 2019 to 2020, a total of 10 episodes of a new dramatic series, MTV Shuga "Down South 2" (DS2), were broadcast via television and the internet, alongside complementary media activities. OBJECTIVE: This study aims to investigate whether the intensity of DS2 exposure was linked with positive HIV prevention outcomes in a setting with high HIV prevalence and relatively low levels of HIV testing. METHODS: We analyzed data from a web-based survey of participants aged 15 to 24 years in South Africa in 2020. The survey was promoted via social media platforms of schools, universities, and communities in Eastern Cape, South Africa. The primary exposure of interest was the intensity of exposure to DS2, measured by the number of episodes of DS2 watched on the television or the internet or listened to on the radio (out of 10 episodes). Individuals who had not watched or listened to any DS2 episode were classified according to other MTV Shuga content that they had accessed. We estimated associations between the intensity of DS2 exposure and HIV-related outcomes, including knowledge of HIV status, awareness of HIV self-testing (HIVST) and pre-exposure prophylaxis (PrEP), uptake of HIVST, and demand for HIVST and PrEP, adjusting for potential confounders using multivariable logistic regression. RESULTS: Among the 3431 survey participants, 827 (24.1%) were exposed to DS2. Specifically, 18.1% (622/3431) watched or listened to only 1 DS2 episode, and 2.4% (82/3431), 1.7% (58/3431), and 1.8% (62/3431) watched or listened to 2 to 4, 5 to 7, and 8 to 10 DS2 episodes, respectively. Increasing the exposure to DS2 was associated with improvements in most outcomes. Exposure to multiple episodes (eg, 2-4, 5-7, and 8-10) was associated with successively higher odds of knowing one's HIV status, awareness of PrEP and HIVST, and uptake of HIVST compared with no MTV Shuga exposure, albeit with statistical uncertainty around some estimates. The interest in using HIVST or PrEP was high overall (>80%), with no measurable differences by DS2 intensity. CONCLUSIONS: We found evidence consistent with a dose-response relationship between MTV Shuga DS2 exposure and outcomes, including knowledge of HIV status, awareness and uptake of HIVST, and awareness of PrEP among young people in Eastern Cape. This indicates that greater engagement with a youth-focused edutainment campaign can improve HIV testing and prevention options in a setting and population with high need. However, only a few participants accessed multiple DS2 episodes despite its availability on multiple media platforms. We conclude that there is potential to benefit more young people by increasing access to and interest in the show.
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 | 0,001 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| 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 | 0,001 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,002 | 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 ».