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Enregistrement W4416343602 · doi:10.2147/jmdh.s555927

Parental Voices on Virtual Reality in Pediatric Oncology: Experiences, Needs, and Pathways for Co-Design

2025· article· en· W4416343602 sur OpenAlexaff
Charlotte Hélie, Jade Véronneau, Orly Desjardins, Léa Barada, Julie Lebeau, David Ogez

Notice bibliographique

RevueJournal of Multidisciplinary Healthcare · 2025
Typearticle
Langueen
DomaineMedicine
ThématiquePediatric Pain Management Techniques
Établissements canadiensUniversité du Québec en OutaouaisUniversité de MontréalHôpital Maisonneuve-Rosemont
Organismes subventionnairesnon disponible
Mots-clésPsychological interventionPsychosocialIntervention (counseling)Virtual realityQualitative researchCitizen journalismChildhood cancerParticipatory action research

Résumé

récupéré en direct d'OpenAlex

Introduction: Pediatric cancer treatments significantly affect children’s physical, emotional, and social well-being. Virtual reality (VR) is emerging as a promising non-pharmacological tool to enhance quality of life during hospitalization, yet little is known about parents perceive its potential role in supportive care. Methods: This qualitative study used semi-structured interviews with five parents of children in remission from cancer. It explored their experiences during chemotherapy and their perspectives on how VR could help support children and families during treatment. Results: Parents described multiple challenges during hospitalization, including emotional distress, physical side effects, social isolation, logistical difficulties, and communication issues. While most had limited prior exposure to VR, they expressed openness toward its use to reduce anxiety, boredom, and loneliness. Parents emphasized that VR should complement, not replace, human interaction, and suggested age-specific applications, interactive content for adolescent and calming, passive experiences for younger children. Discussion: This study provides novel insights by integrating parental voices early in the co-design process of VR interventions for pediatric oncology. It identifies concrete psychosocial needs and offers recommendations to ensure future digital tools are developmentally appropriate and family-centered. While the small, homogeneous sample and absence of child participants limit generalizability, the in-depth qualitative approach offers valuable groundwork for future participatory research and VR intervention development in pediatric cancer care. Plain Language Summary: When a child is hospitalized for cancer treatment, it can be a stressful experience for the entire family. Children often experience fear, loneliness, and pain. Their parents also face emotional and practical challenges, such as long hospital stays, lack of sleep, and concerns about their child’s well-being. In this study, we interviewed five parents whose children had undergone chemotherapy and were now in remission. We asked them to share what they went through during the treatment and how they feel about using virtual reality (VR) as a support tool for children during hospitalization. The parents described many difficulties their children faced: physical side effects, anxiety, boredom, and being cut off from school and friends. They also spoke about their own struggles, including emotional exhaustion and communication problems with hospital staff. Despite having little experience with VR, most parents were open to using it during treatment. They saw VR as a possible way to reduce anxiety, help children relax, and even keep in touch with friends. However, they were clear that VR should not replace human contact. Parents suggested ideas like calming virtual nature scenes for young children, or interactive games for teenagers. Their input helps us understand how to design VR tools that are both useful and acceptable for families. This study highlights the importance of involving parents in the development of new health technologies. By listening to their experiences, we can create better tools to support children with cancer and their families. Keywords: pediatric oncology, chemotherapy, parental experiences, virtual reality, supportive care, qualitative research, thematic analysis

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,002
score de la tête « metaresearch » (Gemma)0,000
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,067
Score d'incertitude au seuil0,680

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0020,000
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,000
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,065
Tête enseignante GPT0,404
Écart entre enseignants0,339 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations1
Publié2025
Routes d'admission1
Résumé présentoui

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