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Enregistrement W7027488666

Creating persuasive messages to promote abstinence from alcohol during pregnancy

2011· dissertation· en· W7027488666 sur OpenAlexaboutno aff

Notice bibliographique

RevueAustralasian Journal of Paramedicine · 2011
Typedissertation
Langueen
DomaineArts and Humanities
ThématiqueHistorical and Religious Studies of Rome
Établissements canadiensnon disponible
Organismes subventionnairesNational Health and Medical Research CouncilMedical Research Council
Mots-clésFormative assessmentAbstinencePregnancyFocus groupExploratory researchAlcoholHealth communication
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

While the rates of Fetal Alcohol Spectrum Disorder within Australia are unknown, the rates of alcohol use during pregnancy and at-risk alcohol use by women of childbearing age highlight the need for universal prevention strategies addressing prenatal alcohol exposure. Though many awareness-raising campaigns for alcohol use during pregnancy have been conducted, predominantly in North America, they have rarely been developed using formative research nor have they been comprehensively evaluated (Saskatchewan Prevention Institute, 2009; Elliott et al., 2008). This lack of published information on the development and evaluation of campaigns makes it difficult to determine what communication elements are most credible and persuasive for the target audience. This study conducted theory-based formative research to develop and test messages suitable for a mass media campaign targeting women who may consume low to moderate levels of alcohol during pregnancy. In alignment with the Australian national guidelines for alcohol use by pregnant women (National Health and Medical Research Council, 2009), the aim was to create messages that increased women‟s intentions to abstain from alcohol during pregnancy. An exploratory phase comprising four focus groups with pregnant women and women of childbearing age living in Perth, Western Australia identified motivators for behaviour change and provided insight into the theoretical constructs that could be used to guide the creation of persuasive messages. Positive motivations for abstinence, such as a desire to feel in control and gain social approval were identified, as were several negative motivations, such as wanting to be free of fear and worry, and to avoid possible poor pregnancy outcomes. Along with constructs from social cognition models such as Protection Motivation Theory (Maddux & Rogers, 1983; Rogers, 1983, 1975), these data underpinned the development of a series of communication objectives and communication materials, such as television concept executions, and copy and graphics for print media. The communication materials were then tested through five focus groups with pregnant women, women of childbearing age and male partners to identify those that were most motivating, and to identify specific copy and execution elements that appeared to enhance the persuasiveness and credibility of messages. Two television concept executions, one a threat appeal based on fear and worry, and the other a positive appeal based on self-efficacy, had particularly good potential to motivate behaviour change. These became the basis for five final concept executions that were tested against a control with 685 women (520 women of childbearing age and 165 pregnant women). Results showed the concept executions containing a threat appeal were significantly more effective at increasing women‟s intentions to abstain from alcohol during pregnancy, compared with the control and positive appeal. This study provides evidence of messages effectively increasing women‟s intentions to abstain from alcohol during pregnancy. It demonstrates the value of using theory-based formative research with the target audience to inform the creation of messages that promote abstinence from alcohol during pregnancy. The results and recommendations have direct implications for the potential use of threat appeals and self-efficacy messages in mass media campaigns aimed at preventing prenatal alcohol exposure.

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 distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,000
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Qualitatif · Signal consensuel: Qualitatif
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,552
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0000,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0020,000

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.

Tête enseignante Opus0,027
Tête enseignante GPT0,268
Écart entre enseignants0,240 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeQualitatif
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations0
Publié2011
Routes d'admission1
Résumé présentoui

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