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Virtual Reality Distraction for Dental Anxiety (PILOT)

St. Justine's Hospital · 2023
ClinicalTrials.gov · Datasets · License: Public Domain · 2023
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Introduction. Dental fear and anxiety (DFA) is a condition that affects approximately a quarter of children and adolescents. Lack of patient cooperation due to DFA can create an environment of stress, often obligating dentists to end appointments prematurely. Virtual reality use could improve DFA in children with special health care needs (SHCN) undergoing dental procedures. Aim. Assess the feasibility and acceptability of VR immersion as a tool to reduce dental fear and anxiety in pediatric special needs patients undergoing dental procedures and gain insight on parents and healthcare providers perspectives on the use of VR during dental appointments. Methods. This pilot randomized controlled trial study will follow a parallel design including two groups: A control group (clinic's standard care) and an experimental group (virtual reality). Twenty participants will be randomized to either group. Recruitment will be carried out at the dental clinic of the Centre Hospitalier Universitaire Sainte-Justine, a tertiary-quaternary care center that mostly serves pediatric patients with SHCN. The experimental group will receive the VR video game Dream designed specifically for this study. It aims at reducing anxiety in children aged 6 to 17 years old by mean of immersive distraction. The VR headset offers children with the ability of viewing the game they are playing in real time while simultaneously obstructing the partial view they would normally have of the procedure. The primary outcome will be assessment of dental fear and anxiety in children using both observation-based proxy assessment with the Venham Anxiety and Behavior Rating Scale (VABRS) and a physiological biomarker such as the level of salivary alpha-amylase. Sociodemographic characteristics, measures of level of satisfaction of parents and healthcare professionals, occurrence of side effects and any deviation from normal procedure length will also be collected. Analysis will be carried out using statistical a
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