Evidence map›Paper›PMID 35700000›Full record

ArticleJMIR research protocols2022

The Efficacy of Virtual Reality Game Preparation for Children Scheduled for Magnetic Resonance Imaging Procedures (IMAGINE): Protocol for a Randomized Controlled Trial.

Sylvie Le May, Christine Genest, Nicole Hung, Maxime Francoeur, Estelle Guingo, Julie Paquette, Olivier Fortin, Stéphane Guay

2 registry-linked trialsOpen access · goldAbstract read
In one paragraph

Article in JMIR research protocols, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to 2 registered trials, which are not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.7field-weighted citation impact, top 10% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

NCT04988516 naunknown statusnot on this map

Virtual Reality Distraction for Anxiety in Children During MRIs : A Randomized Controlled Trial

TypeinterventionalSponsorSt. Justine's HospitalRan2022 to 2025Enrolled98ConditionsMagnetic Resonance Imaging, Pediatric, Virtual Reality, AnxietyArmsVirtual reality, Standard protocol
NCT07203716 nanot yet recruitingnot on this mapstarted 2025, after this paper: background citation

Effect of Home-Based and Immediate Pre-Scan Virtual Reality Orientation on Motion Artifacts and Sedation Need in Pediatric MRI: A Three-Arm Randomized Controlled Trial

TypeinterventionalSponsorHaseki Training and Research HospitalRan2025 to 2026Enrolled150ConditionsAnxiety, Sedation, Child, Virtual RealityArmsVirtual Reality Orientation (Home+Booster), Virtual Reality Orientation (Pre-Scan Only), Usual Care (No VR)
3 · Its place in the literature

Who cites it

3 citing papers in PubMed, 7 citations in OpenAlex.

  1. Evaluating the use of augmented reality in alleviating anxiety and pain in children during intraoral injection administration: a randomized-controlled trial.European archives of paediatric dentistry : official journal of the European Academy of Paediatric Dentistry · 2026
    Trial
  2. Review
  3. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors at 3 institutions in 1 country.

Sylvie Le MayResearch Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-4106-6068
Christine GenestFaculty of Nursing, Université de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-2897-7003
Nicole HungResearch Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.ORCID https://orcid.org/0000-0003-1016-559X
Maxime FrancoeurResearch Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-8652-4707
Estelle GuingoUniversité du Québec en Abitibi-Témiscamingue, Rouyn-Noranda, QC, Canada.ORCID https://orcid.org/0000-0003-3719-9765
Julie PaquetteResearch Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.ORCID https://orcid.org/0000-0002-8752-4290
Olivier FortinResearch Center, Centre Hospitalier Universitaire Sainte-Justine, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-5268-6727
Stéphane GuayTrauma Studies Centre, Institut Universitaire en Santé Mentale de Montréal, Centre Intégré Universitaire de Santé et de Services Sociaux de l'Est-de-l'Île de Montréal, Montreal, QC, Canada.ORCID https://orcid.org/0000-0001-9638-3242
Centre Hospitalier Universitaire Sainte-Justine · CAInstitut Universitaire en Santé Mentale de Québec · CAUniversité du Québec en Abitibi-Témiscamingue · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIt is known that magnetic resonance imaging (MRI) procedures generate fear and anxiety. Children may become restless during scanning, which results in movement artifacts requiring the MRI procedure to be repeated with sedation. Few studies seem to have looked at the effect of immersive virtual reality (IVR) on anxiety in children scheduled for MRI scans and how to identify which children are more responsive.

objectiveThe aims of this study are 3-fold: develop an algorithm of predictability based on biofeedback, address feasibility and acceptability of preprocedural IVR game preparation for anxiety management during MRI procedures, and examine the efficacy of IVR game preparation compared with usual care for the management of procedural anxiety during MRI scans.

methodsThis study will have 2 phases. We will first conduct a field test with 10 participants aged 7 to 17 years to develop a predictive algorithm for biofeedback solution and to address the feasibility and acceptability of the research. After the field test, a randomized controlled trial will be completed using a parallel design with 2 groups: an experimental group (preprocedural IVR game preparation) and a usual care group (standard care as per the radiology department's protocol) in an equal ratio of 49 participants per group for 98 participants. Recruitment will be carried out at a hospital in Quebec, Canada. The experimental group will receive a preprocedural IVR game preparation (IMAGINE) that offers an immersive simulation of the MRI scan. Participants will complete a questionnaire to assess the acceptability, feasibility, and incidence of side effects related to the intervention and the biofeedback device. Data collected will include sociodemographic and clinical characteristics as well as measures of procedure-related anxiety with the French-Canadian version of the State-Trait Anxiety Inventory for Children (score 1-3) and the Children's Fear Scale (score 0-4). Physiological signs will be noted and include heart rate, skin conductance, hand temperature, and muscle tension. Measures of the level of satisfaction of health care professionals, parents, and participants will also be collected. Analyses will be carried out according to the intention-to-treat principle, with a Cronbach α significance level of .05.

resultsAs of May 10, 2022, no participant was enrolled in the clinical trial. The data collection time frame is projected to be between April 1, 2022, and March 31, 2023. Findings will be disseminated through peer-reviewed publications.

conclusionsOur study provides an alternative method for anxiety management to better prepare patients for an awake MRI procedure. The biofeedback will help predict which children are more responsive to this type of intervention. This study will guide future medical practice by providing evidence-based knowledge on a nonpharmacological therapeutic modality for anxiety management in children scheduled for an MRI scan.

trial registrationClinicalTrials.gov NCT04988516; https://clinicaltrials.gov/ct2/show/NCT04988516. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): PRR1-10.2196/30616.

Indexed as

anxietybiofeedbackchildrenmagnetic resonance imagingpatient collaborationpatient preparationpediatricsvideo gamesvirtual reality

Identifiers

PMID35700000
PMCPMC9237773
OpenAlexW4282925027

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.