Co-creation of a video feedback tool for managing self-care at home in pairs of older adults: a remote experience-based co-design study (Preprint)
Notice bibliographique
Résumé
BACKGROUND Involving older adults in co-design studies is essential for the development of digital technologies and healthcare solutions to enhance self-care management at home. The use of remote co-design approaches, particularly with a focus on video feedback tools for self-care management, could provide technologically sustainable solutions that address the personal needs of older adults with chronic illness and their companions. OBJECTIVE The aim of this study was three-fold: (1) to identify the factors influencing self-care management among end users, (2) to co-create and refine the design and contents of a video feedback tool, and (3) to test usability together with pairs of older adults at home. METHODS This study was conducted using an experience-based co-design involving collaboration with older adults, researchers, and service designers. Six workshops, of which five were held remotely and one in-person, were conducted to co-create contents for a video feedback tool with four pairs of older adults. Thereafter, the newly developed self-care exercises underwent usability testing with the pairs of older adults in their homes. Collected data were analyzed inductively through thematic analysis and deductively using the U.S.A.B.I.L.I.T.Y. framework. RESULTS The workshop sessions revealed that support and learning within a promoting self-care environment had a positive influence on self-care management for the pairs. The influencing factors and needs were used to co-create two self-care exercises within the video feedback tool: “Breathing exercises” and “Picking up from the floor.” The usability test revealed that the pairs found it difficult to analyze their self-care exercises and indicated a need for a support structure around the video feedback tool. CONCLUSIONS This study emphasizes that video feedback promotes understanding and facilitates learning by highlighting differences between one's own performance of self-care exercises and that of others. The video feedback tool can be beneficial for pairs of older adults managing self-care at home or as a complement to traditional healthcare services. However, its effectiveness and integration into existing healthcare services need to be assessed through careful design and structured support is still needed.
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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 | 0,025 | 0,035 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,004 | 0,002 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,002 | 0,004 |
| Intégrité de la recherche | 0,002 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,003 | 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 ».