Improving Bystander Self-efficacy to Prevent Violence Against Women Through Interpersonal Communication Using Mobile Phone Entertainment Education: Randomized Controlled Trial
Notice bibliographique
Résumé
BACKGROUND: Violence against women is a major challenge worldwide and in India. Patriarchal social and gender norms suppress disclosure of violence experienced by women. Stimulating interpersonal communication about a normatively stigmatized but prevalent topic could offer an avenue toward boosting bystander self-efficacy to intervene and prevent violence against women. OBJECTIVE: In this study, to reduce violence against women as the distal goal, we adopted a two-pronged strategy grounded in Carey's model of communication, approaching the issue in an incremental way. First, we aimed to explore whether the intervention promoted interpersonal communication about violence against women as an initial step. Second, we examined whether the intervention improved women's self-efficacy to intervene when they witness violence in their community through interpersonal communication. Our model is based on the social cognitive theory that posits observational learning (ie, hearing about other women interfering to stop violence) fosters self-efficacy, a proxy for behavior change. METHODS: We conducted a randomized controlled trial of women of reproductive age using a 2-arm study design embedded within a parent trial implemented in Odisha, India. In total, 411 participants were randomly assigned to the violence against women intervention arm or a control arm if they were active mobile phone owners and assigned to the treatment arm of the parent trial. Participants received 13 entertainment education episodes daily as phone calls. The intervention included program-driven, audience-driven, and responsive interaction strategies to facilitate the active engagement of participants. Audience-driven interactions were incorporated throughout the episodes using an interactive voice response system, which allowed participants to like or replay individual episodes through voice-recognition or touch-tone keypad. Our primary analysis involved a structural equation model with interpersonal communication as a potential mediator on the pathway between intervention exposure and bystander self-efficacy to prevent violence against women. RESULTS: The findings from structural equation modeling demonstrated the significant mediating effect of interpersonal communication on the relationship between program exposure and bystander self-efficacy. Exposure was positively related to interpersonal communication (β=.21, SE=.05; z=4.31; P<.001) and bystander self-efficacy (β=.19, SE=.05; z=3.82; P<.001). CONCLUSIONS: Our results demonstrate participant engagement in interpersonal communication following exposure to a "light" entertainment education program with audio-only format via feature phones in rural settings can result in improved self-efficacy to prevent violence against women. This elevates the role of interpersonal communication as a mechanism of behavior change in mobile phone-based interventions, given that most entertainment education interventions tend to be mass media based. Our findings also show the potential of changing the environment where witnesses of violence deem it worthy of intervention and perceive higher efficacy to stop violence in the community, rather than putting the onus on the perpetrator, to prevent any counterproductive effects. TRIAL REGISTRATION: Clinical Trials Registry-India CTRI/2018/10/016186; https://tinyurl.com/bddp4txc.
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 | 0,003 | 0,005 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,005 | 0,003 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,002 |
| Communication savante | 0,001 | 0,001 |
| Science ouverte | 0,002 | 0,001 |
| Intégrité de la recherche | 0,004 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,011 | 0,001 |
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 ».