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Published on in Vol 1 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/56447, first published .
Enhancement of Immersive Technology Use in Pediatric Health Care With Accessible, Context-Specific Training: Descriptive Feasibility Study

Enhancement of Immersive Technology Use in Pediatric Health Care With Accessible, Context-Specific Training: Descriptive Feasibility Study

Enhancement of Immersive Technology Use in Pediatric Health Care With Accessible, Context-Specific Training: Descriptive Feasibility Study

Authors of this article:

Brian S K Li1, 2 Author Orcid Image ;   Brendan Fereday3 Author Orcid Image ;   Ellen Wang2 Author Orcid Image ;   Samuel Rodriguez2 Author Orcid Image ;   Karin Forssell3 Author Orcid Image ;   André N Bollaert4 Author Orcid Image ;   Maria Menendez5 Author Orcid Image ;   Thomas J Caruso2 Author Orcid Image
Article Authors Cited by Tweetations Metrics

    Original Paper

    1Department of Comparative Literature, Princeton University, Princeton, NJ, United States

    2Department of Anesthesiology, Perioperative and Pain Medicine, Stanford University School of Medicine, Palo Alto, CA, United States

    3Stanford University Graduate School of Education, Palo Alto, CA, United States

    4Invincikids, Inc, San Bruno, CA, United States

    5Stanford Children's Health, Palo Alto, CA, United States

    Corresponding Author:

    Thomas J Caruso, MD, PhD

    Department of Anesthesiology, Perioperative and Pain Medicine

    Stanford University School of Medicine

    453 Quarry Rd

    MC 5663

    Palo Alto, CA, 94305

    United States

    Phone: 1 (650) 723 5728

    Email: tjcaruso@stanford.edu


    Background: Immersive technology provides adjuncts for pediatric care. However, accessibility and inadequate training limit implementation of this technology. Standardized instruction with no-cost software licensing may improve health care professionals’ facility with immersive technologies.

    Objective: This descriptive feasibility study aimed to examine the applications of immersive technologies in pediatric health care, including virtual reality (VR) and projectors.

    Methods: We developed immersive technology instructional guides for pediatric health care. The training guides were created for multiple software content and hardware types across several clinical scenarios. Content was available in print and digital versions. The primary outcome was technology use across sites with no-cost software agreements. The secondary outcome was the specific application types used at a single site, stratified by sessions and minutes. Data were analyzed using descriptive statistics.

    Results: Data were collected from 19 licensed sites from January through June 2022. Among the 19 sites, 32% (n=6) used 10 or more VR units. Among the 6 sites that had projectors, half used 5 or more units. The mean minutes of use per month of all sites combined was 2199 (IQR 51-1058). Three sites had more than 10,000 minutes of total use during the 6-month review period. Secondary results indicated that active VR (977 total sessions) and passive projector streaming (1261 total sessions) were the most popular application types by session, while active projector (66,849 total minutes) and passive projector streaming (32,711 total minutes) were the most popular types when stratified by minutes of use. The active VR application with the most minutes of use was an application often used in physical therapy.

    Conclusions: Context-specific technological instruction coupled to no-cost licenses may increase access to immersive technology in pediatric health care settings.

    JMIR XR Spatial Comput 2024;1:e56447

    doi:10.2196/56447

    Keywords

    immersive technology; implementation; adult learning; education; pediatric; accessibility; training; therapeutic; pediatric care; utilization; virtual reality; VR; monitoring; license; development; software; monitoring software 


    Although immersive technologies are rapidly developing, their adoption in health care greatly varies due to differences in access and acceptability. Recent research has supported novel health care applications of immersive technologies such as virtual reality (VR) [1,2]. Differences in user backgrounds, including technological literacy and financial resources, remain access barriers for health care systems, creating a digital divide [3-5]. Although immersive technologies are not yet widely used, the market is growing quickly due to reduced costs and improved technology [6,7].

    Despite the abundance of efficacy research of immersive technologies in health care, standardized strategies for effective implementation across multiple hospital settings are lacking. Immersive technologies may be adopted for a variety of clinical uses, including patient education, surgical planning, and rehabilitation [8-10]. VR also has analgesic properties, with distraction, focus-shifting, and skill-building identified as its mechanisms for reduced pain perception [11-15]. Given the opioid epidemic, the analgesic benefits of VR could be widely implemented as another tool to reduce the morbidity related to opioid misuse [16-20].

    Andragogic learning theories provide the foundation for the development of tools to train health care professionals on how to best use immersive technologies [18-21]. Effective adult learning is guided by the principles of cognitive load engagement and active learning [21-24]. Adult learning theories suggest that short videos and multimedia presentations are more effective than traditional didactic lectures [25]. Lengthier video trainings have variable effects on long-term retention, whereas shorter, segmented videos improve recall [21,26,27]. The use of multimedia instruction, including web-based content, further engages adult learners [28,29].

    Given the benefits of immersive technologies, we sought to integrate immersive technologies in pediatric health care settings with a standardized set of clinical guides coupled with no-cost software licensing. While developing learning materials, we remained cognizant of the recency of immersive technology, factors that influence immersive technology acceptance, and best practices to improve learning outcomes.

    The primary aim of this descriptive feasibility study was to measure the utilization rate of immersive technologies in a variety of pediatric health care settings after the implementation of standardized training with no-cost software licenses. The secondary aim was to explore the types of immersive technology applications used at a single institution.


    Context

    This study was conducted as part of a research and clinical program at an academic children’s hospital (Lucile Packard Children’s Hospital Stanford [LPCHS]), focusing on the research, development, and validation of immersive technologies for use in pediatric health care [30]. Physicians who lead the program founded a federal, tax-exempt, nonprofit corporation. The mission of the nonprofit is to distribute pediatric immersive technology applications to reduce anxiety, support rehabilitation, and promote pain perception reduction. This nonprofit also helps children with harm reduction, healthy choice education, and mental health support. The nonprofit works with researchers and health care professionals (including but not limited to physicians, nurse practitioners, registered nurses, child life specialists, and physical therapists) to create and distribute free software that is fun, nonviolent, non-nauseating, and practical for many clinical settings. In addition to providing no-cost software licenses, the nonprofit provides training to help these professionals embed immersive technology in clinical practice. Data for this study were collected from January through June 2022.

    Hardware

    VR applications distributed by the nonprofit use both portable hardware, including Oculus Go (Meta, Inc), Oculus Quest/Quest 2 (Meta, Inc), and Pico G2 (ByteDance, Ltd). The nonprofit also distributes projector-based applications that use the Nebula Capsule (Anker Innovations Co), a portable smart projector that displays visuals on a surface secured with a mounting clip [31,32].

    Training

    The training consisted of a series of instructional videos and step-by-step written instructions, available in print and in digital, web-based format. The nonprofit developed a novel framework for introducing and guiding pediatric patients through VR experiences. This framework contained 5 steps: screen, discuss, empower, coach, and clean (Figure 1). These 5 steps were adapted from adult learning theory to fit a health care context, the specific needs of a pediatric population, and the constraints of immersive technology experiences. The nonprofit designed the intervention to be sensitive to several factors: the cognitive load required of practitioners to learn a new skill in a high-risk environment, the plurality of pediatric patient health care needs and constraints, and the requirement to present immersive technologies to patients in a way that elicited their participation.

    First, to remain sensitive to the occupational demands on practitioners’ working memories, any intervention would need to respect these demands by the use of a sufficiently scaled information hierarchy. For example, the intervention would need to make only the vital information quickly accessible and only deliver new information as necessary. This was accomplished by creating separate guides according to use case, revealing actionable steps around a broadly applicable framework, and through a nested information hierarchy in the digital intervention materials. We further reduced the cognitive load on practitioners by prescribing as many directives for actions and sentence frames for dialogue as possible without tailoring those prescriptions too narrowly to a specific use case.

    Second, the intervention needed to balance ease of accessibility with sufficient nuance to capture diverse patient needs. The content catered to the disparate uses of immersive technologies (ie, physical therapy, distraction from pain or fearful environments, and anesthesia induction), patient characteristics (ie, age, mobility, cognitive ability, level of comfort with VR, quality of eyesight, body position requirements of certain procedures), and the needs of specific experiences (ie, dialogue prompts, experience-specific movements, level of difficulty).

    Third, the intervention was designed to elicit patient engagement. Leveraging self-determination theory, the intervention emphasized agency and choice for patients in terms of their VR experience and the amount of information about the external environment they wanted to receive during the VR experience [33,34]. This was also accomplished by incorporating multiple decision points after receiving new information about the VR experience.

    The medium consisted of static digital guides that could be printed or digitally referenced, video guides that demonstrated how to conduct a VR experience with patients with different health care goals in varied contexts, and a hierarchically nested digital library that included all resources in addition to descriptions of each immersive technology and their respective use case (Multimedia Appendix 1). Video guides detailed (1) how to use the equipment, (2) how to present the immersive technology intervention to patients, and (3) how to conduct each immersive experience (Multimedia Appendix 2). The guides were available to all licensed nonprofit users.

    ‎
    Figure 1. Excerpt from a learning guide.

    Outcomes and Measures

    The primary aim of this study was to measure the utilization rate of immersive technologies at institutions that licensed the software through the authors’ nonprofit. The secondary aim was to analyze the use of different types of immersive technology applications at a single institution according to site-specific data. Applications were stratified by VR, projector, active, passive, or training. Use was measured by the number of sessions launched and total number of minutes engaged in an application. These data were not available from the entire cohort due to technological privacy related to the license.

    Anonymized data were collected from a mobile device management dashboard (Manage XR). This allowed for the measurement of the type of applications (active vs passive), the length of time for which the application was used, and the number of sessions launched.

    Analysis

    Descriptive statistics were used to analyze the use of immersive technologies at the index institution (LCPHS) as well as at the sites to which the technologies were distributed. Results are reported as means and IQRs.

    Ethical Considerations

    The Stanford University Institutional Review Board provided a waiver of the requirement of approval owing to the use of historical data.


    Primary Outcome: Institutional Use

    The software was licensed to 18 institutions in addition to LPCHS. Institutes were located across all 4 Census Bureau regions of the United States (4 in the Northeast, 4 in the Midwest, 5 in the South, and 3 in the West), in addition to 3 sites in Canada. The majority of users seeking license and training agreements were first-time or novice users. Although most (n=17) sites had fewer than 25 pieces of equipment, site 4 and LPCHS possessed over 50 types of equipment. Go and Quest/Quest 2 were the most commonly used equipment types at 34% (100/297) and 44% (131/297) of equipment totals, respectively (Figure 2). Thirteen sites did not have Nebula projectors available; all 6 sites that did have these projectors had at least the same number of VR devices as Nebula projectors (VR/projector ratio>1).

    Equipment was variably used among institutions (Figure 3A-B). The mean of monthly usage was 2199 (IQR 51-1058) minutes across all sites combined (Figure 3A). Sites 4, 10, and LPCHS were notable for substantial use with an average of 3613 (IQR 1443-5202), 18,200 (IQR 15,249-23,293), and 5734 (IQR 4807-7252) monthly minutes, respectively (Figure 3B). Only 3 sites had more than 10,000 minutes of total usage across the review period.

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    Figure 2. Tye of immersive technology equipment available across sites. LPCHS: Lucile Packard Children’s Hospital Stanford.
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    Figure 3. (A) Usage minutes over the review period by month and site for sites with ≤10,000 total minutes of use. (B) Usage minutes over the review period by month and site for sites with >10,000 total minutes of use. LPCHS: Lucile Packard Children’s Hospital Stanford.

    Secondary Outcome: Types of Applications Used

    The number of sessions and stratified application type increased over the review period at LPCHS (Figure 4). While the level of passive projector use remained consistent, there was an increase in active VR usage. Patients used active VR and passive projector media applications most commonly when analyzed by session count, with 977 and 1261 total sessions, respectively (Figure 4). Patients used active and passive projector streaming most commonly when usage was analyzed by minutes, with 66,849 and 32,711 minutes of use, respectively.

    Analysis of specific applications revealed that most sessions of active VR applications were games, including Vacation Simulator (Owlchemy Labs), which accounted for 22% (212/977) of all active VR sessions. The most-launched passive projector sessions were streaming services such as Netflix, accounting for 57% (720/1261) of all passive projector sessions (Figure 5).

    The active VR application with the most minutes of use was an application often used to promote rehabilitation called The Climb 2 (Crytek) with 2815 minutes of use, accounting for 15% (2815/19355) of all active VR minutes. The most frequently used active projector application by minutes was an application designed to facilitate anesthesia induction called Sevo & Desi (Stanford Chariot Program), accounting for 85% (56,860/66,849) of active projector minutes. The most frequently used passive projector application was YouTube, accounting for 55% (18,133/32,711) of passive projector minutes (Figure 6A-B).

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    Figure 4. Types of applications at Lucile Packard Children’s Hospital Stanford. VR: virtual reality.
    ‎
    Figure 5. Sessions per application at Lucile Packard Children’s Hospital Stanford. VR: virtual reality.
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    Figure 6. (A) Minutes of use per application with ≤2500 total minutes at Lucile Packard Children’s Hospital Stanford (LPCHS). (B) Minutes of use per application with >2500 total minutes at LPCHS. VR: virtual reality.

    Principal Findings

    Immersive technologies can be widely disseminated with no-cost licenses and complementary training materials. This study identified variation in the quantity and format of immersive technologies used across each site. The extent of immersive technology use appears to be influenced by the amount of equipment available at each site; most sites had fewer than 25 units of equipment available.

    Different hardware is used for different clinical applications in children of different ages. For example, portable VR units may be used for acute distraction at the bedside in older children, whereas projectors are ideal for distraction during patient transport, particularly for younger children. Owing to the different clinical uses among sites, we observed variations in the types of immersive technology units deployed at each site. For example, some institutes only had Go units, such as sites 1, 2, and 16. Many other sites did not have projector units available, limiting streaming options for patients. Most sites were lacking one or more equipment types. Only LPCHS was equipped with all 5 equipment types.

    We did not observe any generalizable trends in usage minutes across sites during the 6-month observation period. Rather, monthly usage minutes tended to fluctuate. However, sites with greater monthly minutes tended to experience consistently greater usage across all months than sites with lower usage minutes. At LPCHS, active VR and passive projector media streaming applications were used more often than active projector, passive VR, and training applications, potentially due to the user reception and clinical use setting. Although the data lack information on clinical context, active VR may have been selected by health care professionals when patients needed more immersion and engagement, such as during a stimulating procedure. Technological instruction for hospital staff may have contributed to the increased use of active VR applications at LPCHS, which generally require more training than passive modalities.

    Further analyses of the types of software applications used in the hospitals would complement the LPCHS institutional data. Of all application types, we observed the greatest use of active VR and passive projector content. Whereas active VR and active projector applications generally consisted of a mix of content created by the LPCHS research program and commercially available applications, passive projector applications were more likely to be commercially available streaming services. There is a broad selection of immersive technology content available and further research will be needed to identify the optimal content for different clinical scenarios.

    Strengths and Limitations

    This study demonstrates the promise for the multi-institutional use of immersive technologies through evidence-based instructional methods. Numerous human factors studies have demonstrated similar outcomes in different domains, including agriculture, industrial organization, household technology use, and online learning [35-38]. This study extends these outcomes by demonstrating the feasibility of the widespread adoption of immersive technology within the pediatric health care setting. Using a teaching model that prioritizes efficient integration and user accessibility may be a key factor to bridge technology research and clinical use. Furthermore, when institutions are provided with technical instructions based on adult learning techniques, adoption may be improved.

    This study had several limitations. First, prior to adoption, all users would have reported their familiarity with device use to better quantify the training effectiveness. However, given the primary goal of increasing use and the deleterious effects of surveys on motivation, we opted to not include a preassessment.

    Second, privacy regulations and protections on patient information limited our ability to determine the clinical context associated with each instance of immersive technology use. Additionally, outside of LPCHS, the number of sessions and types of applications were not available for analysis due to privacy policies.

    Third, while data on patient demographics and specific uses of each application would have increased our understanding of VR utility, the aim of this project was to demonstrate wide-scale use. The hardware and software licenses did not provide access to protected health information to ensure the cyber safety of users. It was outside the scope of this project to have research assistants collect information on patient and use contexts at the wide variety of institutes included. Unlike most VR studies that demonstrate specific health care uses without attention to practical implementation, this study describes a means toward practical implementation. Despite the lack of an entire cohort of institutional data, the types of applications used at LPCHS provide important information on the natural clinical use of immersive technologies in a pediatric hospital.

    Lastly, while we successfully identified and analyzed widespread adoption across sites, we were unable to obtain a staff-level assessment of user sentiments or demonstrate causality between training materials and utilization rates.

    Future Directions

    This study demonstrates that technological digital instruction can facilitate the use of immersive technology in a wide variety of pediatric health care settings. Such methods have the potential to increase user acceptability and to be adapted to the instructional context. Further research will focus on the efficacy of different educational tools during technology instruction with user-specific feedback. Additional efforts will be made to evaluate factors that influence the acceptability of immersive technologies through the customization of training methods at institutions.

    Acknowledgments

    The authors recognize the clinical team of the Stanford Chariot Program, Stanford University, Palo Alto, California, for their dedication to using immersive technologies to transform pediatric health care delivery.

    Data Availability

    The data sets generated and/or analyzed during this study are available from the corresponding author on reasonable request.

    Authors' Contributions

    EW and TJC conceived, planned, and supervised the study. EW performed the main investigation. All authors contributed to, revised, approved, and are accountable for the final manuscript.

    Conflicts of Interest

    TJC, SR, KF, and EW are on the board of Invincikids, a nonprofit organization that seeks to distribute immersive technologies to improve pediatric care. They receive no compensation for their roles. ANB is the Executive Director of Invincikids. The Stanford Chariot Program has received philanthropic gifts from Meta, Inc and Magic Leap, Inc. All other authors have no conflicts to declare.

    Multimedia Appendix 1

    Digital app library materials (excerpt from website).

    PNG File , 356 KB
    Multimedia Appendix 2

    Virtual reality physical therapy field guide (excerpt from website).

    MP4 File (MP4 Video), 19607 KB
    1. Sutherland I. A head-mounted three dimensional display. In: AFIPS '68 (Fall, part I): Proceedings of the December 9-11, 1968, Fall Joint Computer Conference, Part I. New York, NY. Association for Computing Machinery; Dec 1968:757-764.
    2. Suh A, Prophet J. The state of immersive technology research: a literature analysis. Comput Hum Behav. Sep 2018;86:77-90. [CrossRef]
    3. Lee J, Kim J, Choi JY. The adoption of virtual reality devices: the technology acceptance model integrating enjoyment, social interaction, and strength of the social ties. Telemat Inform. Jun 2019;39:37-48. [CrossRef]
    4. Lee LN, Kim MJ, Hwang WJ. Potential of augmented reality and virtual reality technologies to promote wellbeing in older adults. Appl Sci. Aug 30, 2019;9(17):3556. [CrossRef]
    5. Seifert A, Reinwand D, Schlomann A. Designing and using digital mental health interventions for older adults: being aware of digital inequality. Front Psychiatry. 2019;10:568. [FREE Full text] [CrossRef] [Medline]
    6. Castelvecchi D. Low-cost headsets boost virtual reality's lab appeal. Nature. May 12, 2016;533(7602):153-154. [CrossRef] [Medline]
    7. Ebert C. Looking into the future. IEEE Softw. Nov 2015;32(6):92-97. [CrossRef]
    8. Pandrangi VC, Gaston B, Appelbaum NP, Albuquerque FC, Levy MM, Larson RA. The application of virtual reality in patient education. Ann Vasc Surg. Aug 2019;59:184-189. [CrossRef] [Medline]
    9. Reinschluessel A, Muender T, Salzmann D, Döring T, Malaka R, Weyhe D. Virtual reality for surgical planning - evaluation based on two liver tumor resections. Front Surg. 2022;9:821060. [FREE Full text] [CrossRef] [Medline]
    10. Lei C, Sunzi K, Dai F, Liu X, Wang Y, Zhang B, et al. Effects of virtual reality rehabilitation training on gait and balance in patients with Parkinson's disease: a systematic review. PLoS One. 2019;14(11):e0224819. [FREE Full text] [CrossRef] [Medline]
    11. Ahmadpour N, Randall H, Choksi H, Gao A, Vaughan C, Poronnik P. Virtual reality interventions for acute and chronic pain management. Int J Biochem Cell Biol. Sep 2019;114:105568. [CrossRef] [Medline]
    12. Triberti S, Repetto C, Riva G. Psychological factors influencing the effectiveness of virtual reality-based analgesia: a systematic review. Cyberpsychol Behav Soc Netw. Jun 2014;17(6):335-345. [CrossRef] [Medline]
    13. Gold J, Mahrer N. Is virtual reality ready for prime time in the medical space? A randomized control trial of pediatric virtual reality for acute procedural pain management. J Pediatr Psychol. Apr 01, 2018;43(3):266-275. [CrossRef] [Medline]
    14. Gupta A, Scott K, Dukewich M. Innovative technology using virtual reality in the treatment of pain: does it reduce pain via distraction, or is there more to it? Pain Med. Jan 01, 2018;19(1):151-159. [CrossRef] [Medline]
    15. Birckhead B, Khalil C, Liu X, Conovitz S, Rizzo A, Danovitch I, et al. Recommendations for methodology of virtual reality clinical trials in health care by an international working group: iterative study. JMIR Ment Health. Jan 31, 2019;6(1):e11973. [FREE Full text] [CrossRef] [Medline]
    16. Pandrangi VC, Shah SN, Bruening JD, Wax MK, Clayburgh D, Andersen PE, et al. Effect of virtual reality on pain management and opioid use among hospitalized patients after head and neck surgery: a randomized clinical trial. JAMA Otolaryngol Head Neck Surg. Aug 01, 2022;148(8):724-730. [FREE Full text] [CrossRef] [Medline]
    17. Lew D, Bancila L, Wang K, Kim S, Spiegel B, Almario C, et al. S0081 Virtual reality can reduce pain and opioid use in sphincter of Oddi dysfunction (SOD) type III: a prospective pilot study. Am J Gastroenterol. 2020;115(1):S39-S40. [CrossRef]
    18. Alonso Puig M, Alonso-Prieto M, Miró J, Torres-Luna R, Plaza López de Sabando D, Reinoso-Barbero F. The association between pain relief using video games and an increase in vagal tone in children with cancer: analytic observational study with a quasi-experimental pre/posttest methodology. J Med Internet Res. Mar 30, 2020;22(3):e16013. [FREE Full text] [CrossRef] [Medline]
    19. Firoozabadi R, Elhaddad M, Drever S, Soltani M, Githens M, Kleweno CP, et al. Case Report: Virtual reality analgesia in an opioid sparing orthopedic outpatient clinic setting: a case study. Front Virtual Real. Dec 2020;1:553492. [FREE Full text] [CrossRef] [Medline]
    20. Smith V, Warty RR, Sursas JA, Payne O, Nair A, Krishnan S, et al. The effectiveness of virtual reality in managing acute pain and anxiety for medical inpatients: systematic review. J Med Internet Res. Nov 02, 2020;22(11):e17980. [FREE Full text] [CrossRef] [Medline]
    21. Brame CJ. Effective educational videos: principles and guidelines for maximizing student learning from video content. CBE Life Sci Educ. Dec 2016;15(4):es6. [FREE Full text] [CrossRef] [Medline]
    22. Sweller J. Cognitive load during problem solving: effects on learning. Cogn Sci. Jun 1988;12(2):257-285. [CrossRef]
    23. Freeman S, Eddy SL, McDonough M, Smith MK, Okoroafor N, Jordt H, et al. Active learning increases student performance in science, engineering, and mathematics. Proc Natl Acad Sci U S A. Jun 10, 2014;111(23):8410-8415. [FREE Full text] [CrossRef] [Medline]
    24. Noetel M, Griffith S, Delaney O, Harris NR, Sanders T, Parker P, et al. Multimedia design for learning: an overview of reviews with meta-meta-analysis. Rev Educ Res. Oct 23, 2021;92(3):413-454. [CrossRef]
    25. Caruso TJ, Qian J, Lawrence K, Armstrong-Carter E, Domingue BW. From Socrates to virtual reality: a historical review of learning theories and their influence on the training of anesthesiologists. J Educ Perioper Med. 2020;22(2):E638. [FREE Full text] [CrossRef] [Medline]
    26. Guo P, Kim J, Rubin R. How video production affects student engagement: an empirical study of MOOC videos. In: L@S '14: Proceedings of the first ACM Conference on Learning @ Scale Conference. New York, NY. Association for Computing Machinery; Mar 2014:41-50.
    27. Stockwell BR, Stockwell MS, Cennamo M, Jiang E. Blended learning improves science education. Cell. Aug 27, 2015;162(5):933-936. [FREE Full text] [CrossRef] [Medline]
    28. Çeken B, Taşkın N. Multimedia learning principles in different learning environments: a systematic review. Smart Learn Environ. Apr 13, 2022;9(1):19. [CrossRef]
    29. Abdul AA, Ibrahim M, Jono MNHH, Asarani NAM. Incorporating instructional design and adult learning theory in the e-content development of an interactive multimedia course. 2014. Presented at: 2014 International Symposium on Technology Management and Emerging Technologies; May 27-29, 2014; Bandung, Indonesia. [CrossRef]
    30. Stanford CHARIOT Program. Stanford University. URL: http://chariot.stanford.edu/ [accessed 2023-01-06]
    31. Richey A, Khoury M, Segovia N, Hastings KG, Caruso TJ, Frick S, et al. Use of Bedside Entertainment and Relaxation Theater (BERT) to reduce fear and anxiety associated with outpatient procedures in pediatric orthopaedics. J Pediatr Orthop. Jan 01, 2022;42(1):30-34. [CrossRef] [Medline]
    32. Rodriguez ST, Jang O, Hernandez JM, George AJ, Caruso TJ, Simons LE. Varying screen size for passive video distraction during induction of anesthesia in low-risk children: a pilot randomized controlled trial. Paediatr Anaesth. Jun 14, 2019;29(6):648-655. [CrossRef] [Medline]
    33. Yoo J, Lee S, Ohu EA. A cross-cultural analysis of VR gaming psychological needs and motivations: a self-determination theory approach. Manag Sport Leis. Mar 03, 2022;29(3):392-412. [CrossRef]
    34. Huang Y, Backman SJ, Backman KF, McGuire FA, Moore D. An investigation of motivation and experience in virtual learning environments: a self-determination theory. Educ Inf Technol. Aug 18, 2018;24(1):591-611. [CrossRef]
    35. Damba OT, Ansah IGK, Donkoh SA, Alhassan A, Mullins GR, Yussif K, et al. Effects of technology dissemination approaches on agricultural technology uptake and utilization in Northern Ghana. Technol Soc. Aug 2020;62:101294. [CrossRef]
    36. Pagano A, Carloni E, Galvani S, Bocconcelli R. The dissemination mechanisms of Industry 4.0 knowledge in traditional industrial districts:evidence from Italy. Compet Rev. May 28, 2020;31(1):27-53. [CrossRef]
    37. Mitzner TL, Fausset CB, Boron JB, Adams AE, Dijkstra K, Lee CC, et al. Older adults' training preferences for learning to use technology. Proc Hum Factors Ergon Soc Annu Meet. Sep 2008;52(26):2047-2051. [FREE Full text] [CrossRef] [Medline]
    38. Fong BYF, Yee HHL, Ng TKC, Law VTS. The use of technology for online learning among older adults in Hong Kong. Int Rev Educ. Jul 15, 2022;68(3):389-407. [FREE Full text] [CrossRef] [Medline]

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    LPCHS: Lucile Packard Children’s Hospital Stanford
    VR: virtual reality

    Edited by T Leung; submitted 16.01.24; peer-reviewed by Z Orgil, K Chen; comments to author 16.02.24; revised version received 13.03.24; accepted 15.07.24; published 30.07.24.

    Copyright

    ©Brian S K Li, Brendan Fereday, Ellen Wang, Samuel Rodriguez, Karin Forssell, André N Bollaert, Maria Menendez, Thomas J Caruso. Originally published in JMIR XR and Spatial Computing (https://xr.jmir.org), 30.07.2024.

    This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR XR and Spatial Computing, is properly cited. The complete bibliographic information, a link to the original publication on https://xr.jmir.org/, as well as this copyright and license information must be included.