Applying the Human-Centered Innovation Biodesign Framework to the Development and Piloting of a Program to Mitigate Risk for Cognitive Decline Among Historically Underrepresented Individuals: Case Study
Notice bibliographique
Résumé
BACKGROUND: Physical inactivity is a modifiable risk factor for dementia. Past physical activity interventions often overlook the voices of the end user in the design process, particularly minoritized groups living with dementia or memory challenges. To develop physical activity interventions, we use the principles of human-centered design. OBJECTIVE: We applied human-centered design using the innovation biodesign framework to develop a physical activity intervention, Nurturing Aging Through Uplifting Activities in a Restorative Environment (NATURE) program for minoritized individuals as a use case. METHODS: The innovation biodesign framework has three domains: (1) problem space, (2) invention, and (3) solution space. Each domain includes several activities. The problem space involves a needs assessment, needs screening, evidence-based literature review, review of existing models of programs, and iterative feedback from partners, leading to an invention. The solution space encompasses the implementation and validation of the invention and outcomes. We applied this framework in 3 steps: (1) identifying the problem: we used data points from multiple sources to identify needs and mapped them onto the problem space. These sources included reviews of the literature to identify existing interventions, findings from other nature programs to surmise gaps, and focus groups to iteratively identify unmet needs. (2) Designing the invention: we developed NATURE with Hispanic or Latino people with memory challenges and identified their preferred outcomes. (3) Mapping the pilot study. We added the study protocol and planned outcomes to the solution space. RESULTS: In step 1, three evidence-based programs guided the development of NATURE to address physical inactivity and related risks of decreased well-being and dementia. We received 50 referrals for focus group participants, 22 were eligible and completed consent, and 21 (n=6 Hispanic or Latino people with memory challenges and care partners, n=8 outdoor professionals, and n=7 health care providers) participants completed the focus groups. We received feedback from participants on local nature activities, program frequency, duration, and delivery mode, a referral pathway, and outcomes using 5 focus groups and 2 interviews. In step 2, the 12-week NATURE program was developed to promote an active lifestyle and well-being, using nature activities that a person enjoys. NATURE accounts for a person's preferences, needs, and daily situation and includes 4-6 sessions with 2 phone check-ins. Preferred outcomes were well-being, sleep, and social connections. In step 3, we mapped the plan to pilot NATURE using activity tracker technology to measure sleep, heart rate, and activity (well-being), and validated questionnaires. CONCLUSIONS: The framework provided a systematic approach for mapping the development of NATURE to address the needs of Hispanic or Latino people with memory challenges, using human-centered design principles. Application of the framework can be a helpful tool to map the development of other interventions for minoritized populations. TRIAL REGISTRATION: ClinicalTrials.gov NCT06403345; https://clinicaltrials.gov/study/NCT06403345.
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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 | 0,002 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,001 | 0,005 |
| Études des sciences et des technologies | 0,002 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,002 |
| Intégrité de la recherche | 0,000 | 0,001 |
| 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 ».