eHealth Promoting Stoma Self-care for People With an Elimination Ostomy: Focus Group Study
Notice bibliographique
Résumé
BACKGROUND: The construction of an elimination stoma has a physical, psychological, and social impact on the person. The development of stoma self-care competence contributes to the adaptation to a new health condition and improvement of quality of life. eHealth refers to everything associated with information and communication technology and health care, including telemedicine, mobile health, and health informatics. The use of eHealth platforms by the person with an ostomy, as a digital application that includes websites and mobile phone apps, can bring scientific knowledge and well-informed practices to individuals, families, and communities. It also allows functionalities that enable the person to describe and identify early signs and symptoms and precursors of complications and to be guided to an adequate health response for their problems. OBJECTIVE: This study aimed to define the most relevant content and features to promote ostomy self-care integrated into an eHealth platform as a digital app or website to be used by patients for self-management of stoma care. METHODS: We developed a descriptive, exploratory study with a qualitative approach using the focus group methodology, which was oriented to reach a consensus of at least 80%. A convenience sample of 7 participants consisting of stomatherapy nurses was used. The focus group discussion was recorded, and field notes were taken. The focus group meeting was fully transcribed, and a qualitative analysis was performed. The research question was: Which content and features for ostomy self-care promotion should be integrated into an eHealth platform as a digital app or website? RESULTS: An eHealth platform, which can be a smartphone app or website, for people with ostomy should provide content aimed at promoting self-care, namely in the field of knowledge and self-monitoring, as well as the possibility of interacting with a stomatherapy care nurse. CONCLUSIONS: The stomatherapy nurse has a decisive role in promoting adaptation to life with a stoma, namely through the promotion of stoma self-care. Technological evolution has emerged as a useful tool to enhance nursing interventions and promote self-care competence. The development of an eHealth platform aimed at promoting ostomy self-care should include the capabilities for telehealth and help with decision-making regarding self-monitoring and seeking differentiated care.
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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 | 0,001 |
| 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 ».