Advancing prevention and screening in younger adults living with low income: development, piloting and acceptability/appropriateness evaluation of A BETTER Life
Notice bibliographique
Résumé
BACKGROUND: In the original BETTER (Building on Existing Tools to Improve Chronic Disease Prevention and Screening in Primary Care) intervention, a "Prevention Practitioner" meets with a participant aged 40-65 years to improve their uptake of prevention activities (e.g. cancer screening, physical activity). The BETTER intervention was found to be effective in a randomised control trial. We adapted BETTER to focus on a younger age group (adults aged 18-39 years) living with low income, a group known to have a higher prevalence of preventable cancers and chronic diseases than their higher-income peers. Here, we describe the development, piloting, and qualitative evaluation of the acceptability of the adapted BETTER intervention ("BETTER Life") to inform future large-scale implementation research. METHODS: To support adaptation of BETTER, we interviewed community residents from low-income areas in Durham Region, Ontario, Canada and healthcare program service providers across Canada who had knowledge about preventive care. We developed an adapted intervention, BETTER Life, and piloted it at the Durham Community Health Centre to understand acceptability and appropriateness. Pilot participants were contacted a minimum of 2 weeks afterward to complete a semi-structured interview and share their experiences with the intervention and preventive care. RESULTS: We conducted 22 adaptation interviews with 10 community residents and 12 healthcare service providers, 6 interviews with pilot participants (of 8), and a focus group with the two Prevention Practitioners. We found that participants felt that poverty contributes to poor health, including mental health; health education and interventions are often missing, unknown, or difficult to access in low-income communities; and that social networks are important for health. As a direct response to these issues, BETTER Life was seen as a unique, comprehensive program in the community that helps people set goals and reinforce healthy behaviours. However, many different strategies may be required to encourage engagement in the BETTER Life program. CONCLUSIONS: We developed BETTER Life by adapting the original BETTER to focus on adults aged 18-39 years living with low income, piloted it, and evaluated its acceptability and appropriateness. Although BETTER Life was seen as an important program, recruitment for the larger-scale study will be challenging as young adults struggle with competing life priorities and the social determinants of health.
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 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 | 0,005 | 0,003 |
| 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 ».