Evidence map›Paper›PMID 41259710›Full record

ArticleJMIR formative research2025

Usability Evaluation of a Mixed Reality Platform in Pediatric Interventional Cardiology by Specialist Physicians: Mixed Methods Study.

Catherine Chilute Chilanga, Andreas Jahnen, Linda Hafskjold

Abstract read
In one paragraph

Article in JMIR formative research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Catherine Chilute Chilanga *Center for Health and Technology, University of South-Eastern Norway, Grønland 58, Drammen, 3045, Norway, +47 31 00 90 83.ORCID 0000-0002-3092-2650
Andreas Jahnen *Luxembourg Institute of Science and Technology, Esch Sur Alzette, Luxembourg.ORCID 0000-0002-7379-5145
Linda Hafskjold *Center for Health and Technology, University of South-Eastern Norway, Grønland 58, Drammen, 3045, Norway, +47 31 00 90 83.ORCID 0000-0002-0850-0873

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Immersive technologies such as virtual reality, augmented reality, and mixed reality are used in pediatric interventional cardiology (IC) to improve anatomical visualization and spatial understanding and support procedural precision. These technologies offer 3D representations of complex cardiac structures, which can aid in preprocedural planning, intraoperative navigation, and team communication. As these technologies gain traction in IC, understanding how medical specialists perceive their value is vital. Objective: This study assesses what IC specialist physicians consider valuable in immersive technologies by evaluating their experiences with CardioVision, a software designed for pediatric IC procedures. Methods: A mixed methods design was used, combining questionnaires and semi-structured interviews. Purposeful and snowball sampling was used to recruit specialist physicians with experience in IC. The recruited specialist physicians were asked to submit IC cases for software testing. These were uploaded to CardioVision by the developer, who also conducted the testing in person with the physicians at their designated clinical stations. A total of eight specialist physicians completed a pretest questionnaire, used the software, and thereafter completed a posttest questionnaire, which included System Usability Scale and Likert-scale questions on experience with the software. The interviews explored the specialist physicians' experience with the software's performance. Of the 8 participants, 6 further participated in the interviews. The interviews were conducted by two2 of the authors. The qualitative data were analyzed using inductive content analysis, involving subjective interpretation of textual material from the interviews. Following the approach outlined by Elo and Kyngäs, the process comprised three phases: preparation, organization, and reporting. In the preparation and organization phases, one author organized and categorized the interview data in an Excel sheet. The two2 authors then reviewed the material, compared emerging codes and themes, and reached consensus on the final main theme and subthemes for reporting. Results: In total, 8 questionnaires and 6 interviews were obtained from specialist physicians from Belgium, France, Germany, and Italy. Quantitative data from mean System Usability Scale scores showed that users felt confident using the system (mean 4.25). When using the software, the highest positive feedback was for visualization of structures, where all users (8/8, 100%) agreed. Overall, most participants (6/8, 75%) rated the system positively for decision-making support and 5/8 (63%) for complex case preparation. One participant (1/8, 12%) disagreed with its effectiveness in preparing complex cases, indicating mixed opinions in this area. In the interviews, emerging themes aligned with quantitative data to show that participants valued the software's ease of use, high-quality visualization, and decision-making support. Additional benefits included use in medical education, interprofessional collaboration, and patient communication. Developer-clinician collaboration was emphasized as vital for effective integration into routine practice. Conclusions: Immersive technologies offer clinical value when aligned with user needs and integrated through collaborative development.

Indexed as

CardiologyPediatricsPhysiciansVirtual RealityAdultAttitude of Health PersonnelChildFemaleHumansMaleQualitative ResearchSoftwareSurveys and Questionnairescardiologycongenital heart diseaseinterventional radiologymixed realitypediatrics

Identifiers

PMID41259710
PMCPMC12629521

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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.