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Enregistrement W4410643566 · doi:10.2196/58947

Developing a Core Outcome Set for Pediatric and Adult Acute and Chronic Pain Extended Reality Trials: Delphi Consensus-Building Process

2025· article· en· W4410643566 sur OpenAlexafffund
Courtney W. Hess, Deirdre E. Logan, Brittany N. Rosenbloom, Giulia Mesaroli, Laura E. Simons, Carley Ouellette, Cynthia Nguyen, Fahad Alam, Jennifer Stinson

Notice bibliographique

RevueJournal of Medical Internet Research · 2025
Typearticle
Langueen
DomaineSocial Sciences
ThématiqueDelphi Technique in Research
Établissements canadiensHealth Sciences CentreSunnybrook Health Science CentreHospital for Sick ChildrenMcMaster UniversityWomen's College HospitalUniversity of Toronto
Organismes subventionnairesNational Institutes of HealthCanadian Institutes of Health ResearchHospital for Sick ChildrenNational Institute of Arthritis and Musculoskeletal and Skin DiseasesMAYDAY Fund
Mots-clésDelphi methodMedicinePsychological interventionChronic painSystematic reviewDelphiIntervention (counseling)Clinical trialPhysical therapyMEDLINENursingInternal medicine

Résumé

récupéré en direct d'OpenAlex

BACKGROUND: Appropriate outcome assessment strategies and high-quality trials are critical to advancing care of patients with acute and chronic pain. Using extended reality (XR), namely, virtual and augmented reality, as a nonpharmacological treatment for pain has accelerated in the last decade. XR allows users to engage completely in immersive, gamified, sensorial digital experiences. Currently, no standardized approach to assessing outcomes of XR-based interventions for pain exists. OBJECTIVE: Our aim was to recommend a core set of outcomes for pediatric and adult acute and chronic pain XR intervention trials. METHODS: To identify core outcomes, we conducted a multiphase process. In phase 1, we conducted systematic reviews on XR in pediatric and adult acute and chronic pain trials to identify the most common core outcome domains assessed in existing published studies. Primary outcome domains were identified and informed the development of the survey for phase 2, a Delphi survey of clinicians and researchers who were actively researching or using XR for pain treatment. Together, results from the systematic reviews and Delphi survey responses were collated, and in phase 3, a 2-day in-person meeting was held to reach consensus on recommended outcome domains for adult and pediatric acute and chronic pain XR clinical trials. This was followed by 2 additional rounds of the Delphi survey to broaden consensus and refine the domains and definitions. Following the Outcome Measures in Rheumatology guidelines for consensus building, outcomes were organized into 3 categories: mandatory, important to consider but optional, and research agenda. RESULTS: A systematic review including XR trials for adult and pediatric acute and chronic pain was conducted in March 2023, and 90 pediatric and 104 adult studies were included. The round 1 Delphi survey, completed by 66 respondents, revealed the following commonly measured outcomes: pain intensity or quality, distraction, anxiety or fear, satisfaction, and adverse events. Respondents indicated the following domains to be of highest importance to measure in studies: safety, feasibility, and acceptability; pain intensity or quality; pain interference or functioning; emotional functioning; and user experience or immersion. By unanimous vote at the consensus conference, pain severity, adverse events, user experience, and psychological constructs were identified as mandatory domains to be assessed in all XR trials for acute and chronic pain, with the addition of pain interference for chronic pain trials. Physiological markers and physical function were deemed important-to-consider but optional domains. Additional emerging areas for future research did not obtain sufficient support in the consensus process but were noted. CONCLUSIONS: An established core outcome set will help strengthen the emerging evidence base supporting XR interventions for children and adults with pain. Future work is underway to provide recommendations for appropriate validated measures to assess each established outcome domain.

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)0,124
score de la tête « metaresearch » (Gemma)0,137
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesMétarecherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,438
Score d'incertitude au seuil0,902

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,1240,137
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0000,002
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 Opus0,500
Tête enseignante GPT0,646
Écart entre enseignants0,145 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeThéorique ou conceptuel
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

Citations3
Publié2025
Routes d'admission2
Résumé présentoui

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