Prevention of Alcohol Exposed Pregnancies and Fetal Alcohol Spectrum Disorders and Conceptualizing the Adaptation Process for Health Promotion Programs in Urban American Indian/Alaska Native Communities
Notice bibliographique
Résumé
Background: This dissertation project builds on an existing partnership and alcohol exposed pregnancies (AEPs) and Fetal Alcohol Spectrum Disorders (FASD) prevention project between the Tucson Indian Center (TIC) and Mel and Enid Zuckerman College of Public Health (MEZCOPH). The TIC provides social services, health and wellness services, and health fairs and cultural celebrations for urban American Indian and Alaska Natives (AI/AN). Reducing the risk of AEPs and FASD among American Indian, Alaska Natives and Aboriginal People of Canada (AI/AN/APC) is a public health priority. AI/AN/APC women report higher rates of alcohol consumption during pregnancy, and AI/AN infants have high rates of FASDs. Effects of AEPs and FASDs can include physical, mental, behavioral, and learning disabilities with possible lifelong implications. This dissertation's overall objective is to document the broad and local approaches employed to adapt health promotion and prevention programs for urban AI/AN populations, with an emphasis on AEPs and FASD. Methods: This dissertation is composed of three parts: 1) a scoping review to explore the representation of adapted AEPs and FASD programs in AI/AN/APC literature; 2) an examination of factors associated with AEPs in an urban AI/AN women; and 3) utilizing a consensus panel and follow-up interviews to define adaptation and document the TICs adaptation process. Result: The scoping review yielded a total of 1,287 peer-reviewed articles. After a full-text review 15 articles met the inclusion criteria and were selected for a full article review. The grey literature search identified 11 AEP and FASD programs not published in the peer-reviewed literature. Data were analyzed on a sample of 119 women urban AI/AN women. Overall, the prevalence rates of factors associated with AEPs among the sample was were relatively low. The consensus panel defined adaptation, documented their adaptation process, identified best practices for adapting health promotion programs, and lessons learned from working with TIC. Conclusions: This dissertation identified a gap in the literature about AEPs and FASD programs among AI/AN/APC, the prevention programs used to address these issues and the perspective of how those who administer culturally relevant programs adapt these programs the meet the needs of AI/AN/APC communities. Data sources that provide information about the health status of urban AI/AN is lacking. This dissertation also identified the prevalence rates of factors that are associated with AEPs among a specific urban AI /AN community. Lastly, this dissertation documented the program adaptation process of a specific AI/AN-serving organization. These findings advance intervention science to understand how prevention programs are adapted for an urban, multitribal AI/AN population.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 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 tête enseignante, 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 ».