Design principles for the development of health technology with and for older adults to enhance well-being and aging in place.
Notice bibliographique
Résumé
Introduction: Discussion of newly developed design principles for the development of health technology with and for older adults to enhance well-being and aging in place. Who is it for? The networking session is aimed at a broad audience including policymakers, practitioners, clinicians, and others interested in learning and contributing. The overall aim is to identify how our research can inspire and benefit others and help add value in the future planning of inclusive digital health services for older adults served by both primary and secondary healthcare services with cross-disciplinary teams. The networking session aims in collaboration with the participants to discuss and develop new principles for the design of health technology-, and services for older adults who live with physical or mental impairments. During the workshop we will share knowledge and data from an EU research project between EU and Canada called SMILE and develop design guidelines to involve older adults in the design and implementation of health technology. The purpose is to inspire the participants and spread the word about inclusive service design, to reduce inequity in health, and to increase accessibility, by including those not normally heard in the development of new health technologies. Ultimately, the aim is to make sure that a broader population of older in the future will gain the full benefit from future technologies. Two specific themes are addressed in the session, inclusion and stratification of users using the READHY instrument and how the ‘Epital Care Model’ can inform horizontal and vertical infrastructure in the development of an ecosystem. Who are you involving and engaging with? In the EU project SMILE, a new digital health technology is being designed with older adults living with one or more chronic conditions, and with different levels of digital and health literacy. The co-creational technology design approach pursued in SMILE is iterative, and includes initial interviews with end-users, workshops with developers, three phases of design workshops with end-users, and questionnaires. What are you doing or propose to do? Please explain the initiative or intervention. Developing technology with older adults with one or more chronic conditions, based on their needs and preferences, to increase well-being and ageing in place. In this process focus has been on including a broad variety of people to avoid inequity in access to health services, including, older with frailty or impairments, who are not normally included in the co-creation process and or development of new health technology. What is the problem or question you want their help to solve? - Input on how to include and design with older adults with frailty or impairments. - Reflection on the two models for stratified inclusion and design for different needs to avoid inequity in the digital transformation. - Feedback on how the ECM framework can be enhanced to ensure the involvement of informal caregivers, what works and what is missing.
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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 | 0,045 | 0,021 |
| Méta-épidémiologie (sens strict) | 0,002 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,002 |
| Bibliométrie | 0,001 | 0,001 |
| Études des sciences et des technologies | 0,003 | 0,018 |
| Communication savante | 0,008 | 0,008 |
| Science ouverte | 0,003 | 0,008 |
| Intégrité de la recherche | 0,009 | 0,007 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,008 | 0,003 |
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 ».