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Enregistrement W7081991073 · doi:10.20381/ruor-31391

A Multi-Modal Assessment of Support Use Among Multiple Sclerosis Family Caregivers in Canada

2025· dissertation· en· W7081991073 sur OpenAlexaboutno aff

Notice bibliographique

RevueUniversity of Ottawa - Library · 2025
Typedissertation
Langueen
DomaineComputer Science
ThématiqueGeochemistry and Geologic Mapping
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésFamily caregiversResource (disambiguation)Diversity (politics)Service (business)Health careQuality of life (healthcare)Service provider

Résumé

récupéré en direct d'OpenAlex

Family caregivers of individuals living with multiple sclerosis (MS) are essential to the wellbeing and independence of their care recipients. Despite the prevalence and importance of MS family caregivers, many struggle to maintain their wellbeing while also meeting demands for care. Most of the MS caregiving literature has focused on negative outcomes associated with the caregiving role; however, MS family caregivers also report benefits to caregiving that remain poorly understood. Resources are deeply implicated in salutogenic paradigms of health and could be used promote the wellbeing of caregivers through the creation of supportive environments. However, little is known about the current state of supports for MS family caregivers in Canada. Thus, this dissertation sought to establish a salutogenic paradigm for supporting MS family caregivers by identifying current caregiving resources and resource use dynamics. Included in this dissertation are three studies to achieve this goal. The first study of this dissertation examined the current landscape of caregiving resources in Canada as experience by family caregivers via an environmental scan of digital supports. This study identified mostly informational resources authored by provincial caregiving organizations. Findings highlighted a lack of diversity in the target audiences of current digital caregiving resources and a dearth of interactive and practical supports. The second study of this dissertation examined the content and feature priorities for a novel digital resource among MS family caregivers and service providers via online survey. Participants prioritized the ease of use of a future digital resource as a top priority. A wide range of content priorities were identified, with the most frequent being information on MS and its treatment. Findings emphasized the potential of a digital resource to provide a range of support to MS family caregivers and centred the importance of user testing to ensure the usability and uptake of the resource. The third study of this dissertation presented in Chapters 4 and 5, investigated current support structures and support use dynamics of MS family caregivers via online survey and semi-structured interviews. The content of support structures reported by caregivers highlighted the importance of natural support networks, including the care recipient. Levels of resilience and neuroticism were associated with the size of support structures. Through interviews, caregivers identified that cycles of resilience were mediated by supports and reported key facilitators and barriers to support use. Findings demonstrated the complex decision-making processes behind support use and highlighted the need for flexible support that can accommodate variable support needs and preferences of MS family caregivers. Collectively, the findings of this dissertation operationalize a salutogenic paradigm for supporting MS family caregivers. Key recommendations are given to create supportive environments for caregivers and optimize their wellbeing. Improvements in access to respite care and financial support, better visibility of digital resources, and bolstering natural support networks may all be valuable strategies to improving the wellbeing of MS family caregivers in Canada.

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)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,030
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)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0000,000
Communication savante0,0000,001
Science ouverte0,0010,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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 Opus0,018
Tête enseignante GPT0,188
Écart entre enseignants0,170 · 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'étudeObservationnel
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
Publié2025
Routes d'admission1
Résumé présentoui

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