Development of a Digital Tool for People With a Long-Term Condition Using Stroke as a Case Example: Participatory Design Approach
Notice bibliographique
Résumé
BACKGROUND: In patient care, demand is growing for digital health tools to enable remote services and enhance patient involvement. People with chronic conditions often have multiple health problems, and long-term follow-up is recommended to meet their needs and enable access to appropriate support. A digital tool for previsit preparation could enhance time efficiency and guide the conversation during the visit toward the patient's priorities. OBJECTIVE: This study aims to develop a digital previsit tool and explore potential end user's perceptions, using a participatory approach with stroke as a case example. METHODS: The digital tool was developed and prototyped according to service design principles, informed by qualitative participant data and feedback from an expert panel. All features were processed in workshops with a team that included a patient partner. The resulting tool presented questions about health problems and health information. Study participants were people with stroke recruited from an outpatient clinic and patient organizations in Sweden. Development and data collection were conducted in parallel. For conceptualization, the initial prototype was based on the Post-Stroke Checklist and research. Needs and relevance were explored in focus groups, and we used a web survey and individual interviews to explore perceived utility, ease of use, and acceptance. Data were thematically analyzed following the Framework Method. RESULTS: The development process included 22 participants (9 women) with a median age of 59 (range 42-83) years and a median of 51 (range 4-228) months since stroke. Participants were satisfied or very satisfied with using the tool and recommended its use in clinical practice. Three main themes were constructed based on focus group data (n=12) and interviews (n=10). First, valuable accessible information illuminated the need for information to confirm experiences, facilitate responses, and invite engagement in their care. Amendments to the information in turn reconfigured their expectations. Second, utility and complexity in answering confirmed that the questions were relevant and comprehensible. Some participants perceived the answer options as limiting and suggested additional space for free text. Third, capturing needs and value of the tool highlighted the tool's potential to identify health problems and the importance of encouraging further dialog. The resulting digital tool, Strokehälsa [Strokehealth] version 1.0, is now incorporated into a national health platform. CONCLUSIONS: The participatory approach to tool development yielded a previsit digital tool that the study group perceived as useful. The holistic development process used here, which integrated health information, validated questions, and digital functionality, offers an example that could be applicable in the context of other long-term conditions. Beyond its potential to identify care needs, the tool offers information that confirms experiences and supports answering the questions in the tool. The tool is freely shared for adaptation in different contexts. TRIAL REGISTRATION: researchweb 236341; https://www.researchweb.org/is/vgr/project/236341.
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Comment cette classification a été obtenuedéplier
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 | 0,000 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,000 |
| 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 ».