Exploring the Use of an Augmented Reality Device Learning Tool for Multidisciplinary Staff Training on Domestic Abuse and Sexual Violence: Postintervention Qualitative Evaluation
Notice bibliographique
Résumé
Background: Legislative policies published by National Health Service, England and the UK Government focus on prioritizing the creation of a stronger system. These frameworks emphasize on the improvement of health care staff's ability to identify and refer domestic abuse (DA) survivors as key areas for supporting workforce development. Health care staff are often the first professional contact of survivors of DA, and insufficient staff training is a key barrier to survivors being identified and directed to support. The Microsoft HoloLens2 is a mixed-reality headset that allows virtual objects (holograms) to be integrated into the real world. Mixed-reality headsets are being increasingly used within medical education and have the advantage of independent operation, reducing the staffing requirements for teaching. The HoloLens2 can be used to project HoloPatients (HPs), which resemble clinically unwell patients, into the classroom. Two of these HPs have been specifically designed to portray survivors of DA and sexual violence (SV). Objective: This study explored potential uses of the HP in DA and SV training as a potential survivor-centered educational initiative that could be used as an adjunct to existing training for health care professionals and community sector workers. Methods: Frontline staff and community stakeholders from the national health service, DA, and law enforcement sectors were invited on 3 separate occasions (n=14, 12, 22) to a HoloLens2 demonstration that displayed 9 HPs. The patient voice was to be outlined by personalized scripts, co-created alongside sector charities, ensuring survivor engagement and participation. Participants were given the opportunity to wear the headset and familiarize themselves with the technology during the sessions. A post-intervention evaluation research model was used to explore the feasibility and functionality of the HP as an educational tool. Results: Thematic analysis described the HP as a "realistic," "adjustable" tool that "creates a safe learning environment." Participants suggested it could be useful in "pre-exposure preparation" by "improving communication" and allowing different approaches to be trialed in a safe environment. The use of survivor scripts was described as a useful tool to "bring the survivor into the learning space" in a safe way. Participants identified the HP as a suitable tool for workers inside and outside health care, including social sectors such as law enforcement (32%). Conclusions: The HP acts as a low-risk, adaptable tool for trainees to develop skills in a safe environment. This study demonstrates that professionals perceived the HoloLens as an innovative means to amplify the lived experience voice. Further research will evaluate this additional impact on trainees' confidence and responses to survivors disclosing DA and SV within different disciplines to drive improved outcomes.
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,045 | 0,056 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,005 | 0,006 |
| Communication savante | 0,003 | 0,003 |
| Science ouverte | 0,004 | 0,007 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».