Home to Hospital Live Streaming With Virtual Reality Goggles: A Qualitative Study Exploring the Experiences of Hospitalized Children
Notice bibliographique
Résumé
BACKGROUND: Being separated from home and relatives is a major stressor for children and adolescents when hospitalized. Children long for a manner to be distracted, pleasured, and socially connected during hospitalization. Different technological devices have been applied in health care to answer those needs. Both virtual reality (VR) and videoconferencing have proven their value in hospital wards and pediatrics. VisitU combines these 2 technologies innovatively. VisitU is a recently launched VR product enabling users to be virtually at home during hospitalization. OBJECTIVE: This study aims to explore the experiences of hospitalized patients with the VR intervention of VisitU in addition to standard care. METHODS: Over a 3-month period, a purposive sample of 10 patients hospitalized in the Radboudumc Amalia Children's Hospital was included in this qualitative study. Semistructured interviews were performed, one before and one after the use of the VR device. Patients were asked open-ended questions concerning their experiences with VisitU on practical, cognitive, emotional, and social domains. The interviews were audiorecorded and transcribed verbatim. Atlas.ti was used to support the qualitative analysis. Furthermore, the inductive thematic analysis was done according to the 6-step procedure described by Braun and Clarke. RESULTS: The following 6 main themes were the result of the qualitative analysis: "Being hospitalized," "Expectations of VisitU," "VisitU in use," "VisitU, the benefits," "The impact of VisitU," and "Barriers when using VisitU." The way VisitU was used by patients varied. The main benefits of VisitU were being somewhere else, being at home, and facilitating social connection. Limitations were experienced on the technical abilities, physical side effects, and complexity of use. Despite that, patients were positive about VisitU and unanimous in the view that they would like to use it again and advise other patients to use it. CONCLUSIONS: This study shows the positive experiences of pediatric patients with VR live streaming. VisitU brings together the needs of patients and possibilities of VR and videoconferencing; it offers patients a way out of the hospital. Nevertheless, practical and technical obstacles must be overcome and side effects are an area of further research.
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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 | 0,001 | 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 ».