Forward With Dementia: Co‐designing resources adapted for the Chinese, South Asian and Italian communities
Notice bibliographique
Résumé
BACKGROUND: Stigma is a common experience for people living with dementia, is associated with many negative consequences including discrimination and social exclusion, and can serve as a barrier to accessing services for people living with dementia. Unfortunately, dementia-related stigma may be even more likely to occur in ethno-racial communities. Dementia resources that are culturally relevant to ethno-racial communities and written in the languages read in these communities are lacking. Forward With Dementia (FWD) is an initiative that aims to combat stigma and raise awareness about living well with dementia. To begin to address the gap in culturally relevant information and resources, the Canadian FWD team co-designed resources that were adapted for the Chinese, South Asian and Italian communities. METHOD: Co-design teams were established for each ethno-racial community. Teams included family/friend care partners and health and social care providers. Unfortunately, we were unable to recruit people living with dementia to participate, likely due to increased dementia-related stigma and the tendency of later diagnosis in these communities. Content from the existing FWD site served as the basis for the resources. We met monthly with each co-design team to adapt and review the resources. Pictures, symbols, personal stories, and examples relevant to each community were used in the design of the resources. Once finalized, the resources were translated into relevant languages. RESULT: Over a 1-year period, a total of 187 newly adapted resources were created. This included 13 core resources and 1-2 stories by care partners for each community. Chinese resources were translated into Simplified and Traditional Chinese, South Asian resources were translated into Punjabi, Hindi and Urdu, and Italian resources were translated into Italian. The resources are also available in English and French. During a 3-month marketing campaign to promote the resources, over 157,000 individuals were reached with 4300+ views of the resources and 1400+ downloads. CONCLUSION: The new culturally-adapted and translated FWD resources address a significant gap in support for people with dementia and care partners from ethno-racial communities.
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 | 0,007 | 0,012 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,002 |
| Communication savante | 0,002 | 0,002 |
| Science ouverte | 0,002 | 0,005 |
| Intégrité de la recherche | 0,001 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,006 | 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 ».