Published on in Vol 22, No 1 (2020): January

A Virtual Home for the Virtual Clinical Trial

A Virtual Home for the Virtual Clinical Trial

A Virtual Home for the Virtual Clinical Trial

Authors of this article:

Susan Persky1 Author Orcid Image

Viewpoint

Social and Behavioral Research Branch, National Human Genome Research Institute, Bethesda, MD, United States

Corresponding Author:

Susan Persky, PhD

Social and Behavioral Research Branch

National Human Genome Research Institute

31 Center Dr Bldg 31 Rm B1B36

Bethesda, MD, 20892

United States

Phone: 1 301 443 0098

Email: perskys@mail.nih.gov


Virtual clinical trials (VCTs) can satisfy the need for rigorous clinical trials by using distributed technological solutions that eliminate the need for a physical trial site. This report explores potential benefits of using virtual reality (VR) to provide a “virtual site” for VCTs, a shared immersive hub in which VCT participants could experience elements of the trial and interact with the trial team. VR is a communication technology that has been emerging alongside the development of VCTs, although they have never been merged in a substantial way. Many of the gaps within the VCT paradigm are areas in which VR excels. VR environments are standardized and precisely uniform, the technology allows introduction of an almost endless set of stimuli to participants’ visual and auditory systems, and VR systems are adept at capturing precise movement and behavioral data. Although VR has not yet found its way into VCTs, much of the groundwork for such integration has been laid through research and technological development achieved in the past few years. Future implementation of VR within VCTs could move us from site-less trials to those with a virtual site serving as a hub for trial information provision, interaction with trial representatives, administration of evaluations and assessments, and more.

J Med Internet Res 2020;22(1):e15582

doi:10.2196/15582

Keywords



Rapid innovation in health and health care technologies, interventions, and products require the attendant proliferation of rigorous clinical trials to evaluate their efficacy and effectiveness. To meet these needs, the field has been slowly moving toward increasing adoption of virtual clinical trials (VCTs). VCTs go by many names (eg, site-less, remote, decentralized, direct-to-patient, and patient-centered trials), but these generally involve evaluating the effect of a clinical intervention (often a pharmaceutical product) within research participants’ own settings, as opposed to a clinical trial site. They satisfy the need for rigorous clinical trials performed among a diverse sampling of the appropriate population, using benefits conferred by distributed technological solutions (eg, mobile phone apps) that are often already present in the homes and routines of research participants under study. Boosters of the model submit that VCTs can reduce costs, shorten trial timelines, increase protocol adherence, and boost recruitment numbers and participant diversity, while simultaneously allowing for continuous real-world data collection in the context of real-life settings and events [1,2]. These trials typically provide participant access to research teams through Web-based portals, sometimes provide home visits, and collect data through networked wearables and medical devices, surveys, and other means. Although there are certainly complexities related to the massive amount of data generated, safety concerns, and other considerations, this approach holds great potential for growth. Indeed, if we think beyond trials involving pharmaceuticals and therapeutics, these site-less trials have been flourishing for years in the context of evaluating products and interventions (such as mobile health apps) intended to be widely deployed in free-living environments.

Still, since the dawn of the VCT, there has been argument for retaining the clinical site. Distributing data collection introduces a lack of standardization, a lack of relationship between the trial team and participants, the inability to collect certain types of data, and a lack of researcher knowledge about the contextual details of data collection, including whether the intended individual is participating in trial activities [3]. For these and other reasons, there may be benefits to providing a “virtual site” for VCTs—a shared immersive hub in which every VCT participant could experience trial elements and interact with the trial team (Figure 1).

Figure 1. Relationships among virtual clinical trial elements incorporating virtual reality.
View this figure

It is time to consider whether and how virtual reality (VR) could be used to augment VCTs. VR is a communication technology that has been emerging alongside VCTs, and although they share a component of their name, they have not been merged in a substantial way. There are several arguments for doing so. Many of the gaps left by the VCT paradigm are areas in which VR excels. VR environments are digital; thus, they are very precisely uniform, and the technology allows introduction of an almost endless set of stimuli to participants’ visual and auditory systems (and sometimes other sensory systems as well). VR is adept at capturing precise movement and behavior data; indeed, user movement drives the very operation of VR systems. Such data collection could also provide information on participant adherence to elements of the trial regimen, as well as data points to demonstrate that the intended individual is participating in the remote trial. Indeed, individuals’ VR data are unique and identifiable in terms of elements such as eye height, gait, and movement patterns [4]. Although other related technologies, such as mobile phone apps, and nonimmersive virtual environments may likewise confer benefits for VCTs, these particular elements (immersion in uniform but realistic simulations, unique data signatures generated by body movement) are unique to VR.


With the aging of the American population, evaluation and therapy in home settings have become a major focus within the VR industry. For example, researchers have begun to assess the ability of patients to use VR apps for physical and occupational therapy self-assessment and exercises in the home, with generally favorable results [5-7]. This research has sensibly occurred primarily in domains where mobility can be an issue and where home-based activities are already the norm. This is a potential starting point for VR-based motion or mobility assessments in VCTs where interventions under study influence these processes. This is, however, only a single area of development. Given a very active VR development community around health, health care, and wellness, there are many use cases soon to be ripe for the picking. For example, VR assessments of neuropsychological processes and outcomes have been developed both in the context of noninterventional natural history trials and in pharmaceutical trial contexts. For example, in laboratory-based work, researchers have used VR classrooms and driving simulators to evaluate effects of psychostimulants [8-10]. Researchers have also developed VR environments to elicit and assess stress reactivity in both laboratory-standard and in ecologically realistic ways [11-13]. Cognitive and executive function evaluation is another area of active VR development, wherein testing takes place in a lifelike virtual environment (eg, a virtual grocery store) to provide consistency between trials and between patients [14]. Elicitation and evaluation of craving and substance use behavior using VR environments have become quite sophisticated in recent years [15,16], alongside VR-based food choice measures [17-19]. These tools could provide standardized environments in which to measure specific reactions and behaviors associated with interventions under study. They also allow evaluation in the face of such stimuli without sending participants into the way of potential harm. Although many VR environments are typically designed to bring elements of the real world (bars, liquor stores, cafeterias, etc) into sterile laboratory environments, they could provide standardized environments within a home context just as compellingly.

In addition, note that applications of VR to VCTs need not be complicated or complex. Consider measuring resting blood pressure among VCT participants in the variety of home environments where this might occur—alone in a quiet room, versus surrounded by active children, watching a cooking show versus watching a true-crime show. Now consider what might be gained by having these measurements taken while all participants are relaxing on the same VR beach watching the waves roll in.


Also critical is the social component of clinical trials, along with the trust that can develop between participants and researchers. A VR-based communication hub for VCTs could reinsert some of the human element into these distributed studies. Many researchers have created VR clinical settings that could be leveraged as familiar and trustworthy contexts in which to convey clinical information to patients. Research on social VR, as well as work on telemedicine, has shown the ability of VR to support true social interactions and therapeutic alliance [20,21]. Use of VR to support interpersonal interaction between patients and trial staff could also be beneficial in the case of single-blind trials, wherein communication could be filtered or elements could be automated to reduce concerns about researcher expectations seeping into the encounter [22]. Although VR can convincingly mimic a clinical interaction [23,24], there may also be reason to embellish and explore new possibilities in these information exchanges. Patient education could be enhanced by bringing VCT participants into VR educational environments, for example, to help patients visualize health and medical data [25,26]. Clinical trialists could have a full arsenal of VR visualizations and demonstrations when explaining trial procedure, disease processes, medical procedures, treatment methods, and so on, within the consent process and as trials proceed.


Deploying VR to participant home environments has become increasingly possible because of massive growth in VR technology in recent years, as well as (much more slowly) growing ownership of VR hardware among consumers. VR hardware is available in a variety of form factors and price points. Although eventually, many trial participants may be able to bring their own VR equipment to trials, much as they might bring their own computer or mobile phone, at present, this would be an unlikely scenario. However, trial-provided equipment is common, and certainly, increased control over and standardization of trial equipment are likely of benefit at this stage.


This is not to suggest that VR could or should be integrated into all, or even most, VCTs. There will be a great variation in the potential benefits of VR for a given trial, and these should be always weighed against potential risks and downsides. Already identified risks of VR in research include privacy and data security, as well as potential health and comfort risks of equipment use [27]. There are also some VR tools that, although effective, are best experienced while under the direct care of a health care professional, such as those aimed at addressing posttraumatic stress disorder [28]. These applications may not be appropriate for remote use. There may additionally be populations for whom home VR use will not be appropriate (eg, individuals with certain neurological conditions). Finally, as with all VCT tools, care must be taken to ensure that use protocols are easy to understand, seamless, and free of frustrations for participant populations.


VCTs and VR have grown up alongside but parallel to one another. The next steps toward enabling the integration of VR within VCTs include increasing distributed, site-less research on VR-based interventions. Indeed, clinical research within the VR research community itself is still somewhat emerging [29,30]. Most VR-centric health and medical research is currently performed in laboratory or medical settings; few evaluation trials have been distributed into individuals’ home contexts. By taking several smaller steps, such conducting more VCTs evaluating VR-based interventions and using VR tools as part of traditional clinical trials, the frameworks and optimal approaches for engaging research participants and integrating VR into workflows can be developed. As such, we can outline the pathway moving from site-less VCTs to trials that have a virtual site, serving as a hub for trial information provision, interaction with the trial team, administration of assessments, and more.

Acknowledgments

This work was supported by the Intramural Research Program of the National Human Genome Research Institute. The author thanks Charlotte Hagerman for comments on an earlier version of this document and Emma Schopp and Sydney Telaak for assistance with figure creation.

Conflicts of Interest

None declared.

  1. Hirsch IB, Martinez J, Dorsey ER, Finken G, Fleming A, Gropp C, et al. Incorporating site-less clinical trials into drug development: a framework for action. Clin Ther 2017 May;39(5):1064-1076 [FREE Full text] [CrossRef] [Medline]
  2. Sommer C, Zuccolin D, Arnera V, Schmitz N, Adolfsson P, Colombo N, et al. Building clinical trials around patients: evaluation and comparison of decentralized and conventional site models in patients with low back pain. Contemp Clin Trials Commun 2018 Oct;11:120-126 [FREE Full text] [CrossRef] [Medline]
  3. Murray E, Khadjesari Z, White IR, Kalaitzaki E, Godfrey C, McCambridge J, et al. Methodological challenges in online trials. J Med Internet Res 2009 May 3;11(2):e9 [FREE Full text] [CrossRef] [Medline]
  4. Kupin A, Moeller B, Jiang Y, Banerjee NK, Banerjee S. Task-driven biometric authentication of users in virtual reality (VR) environments. In: MultiMedia Modeling. Cham: Springer International Publishing; 2019:55-67.
  5. Cui J, Yeh S, Lee S. Wearable sensors integrated with virtual reality: a self-guided healthcare system measuring shoulder joint mobility for frozen shoulder. J Healthc Eng 2019;2019:7681237 [FREE Full text] [CrossRef] [Medline]
  6. Yang W, Wang H, Wu R, Lo C, Lin K. Home-based virtual reality balance training and conventional balance training in Parkinson's disease: a randomized controlled trial. J Formos Med Assoc 2016 Oct;115(9):734-743 [FREE Full text] [CrossRef] [Medline]
  7. Laver K, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev 2017 Nov 20;11:CD008349 [FREE Full text] [CrossRef] [Medline]
  8. Cox DJ, Moore M, Burket R, Merkel RL, Mikami AY, Kovatchev B. Rebound effects with long-acting amphetamine or methylphenidate stimulant medication preparations among adolescent male drivers with attention-deficit/hyperactivity disorder. J Child Adolesc Psychopharmacol 2008 Mar;18(1):1-10. [CrossRef] [Medline]
  9. Pollak Y, Shomaly HB, Weiss PL, Rizzo AA, Gross-Tsur V. Methylphenidate effect in children with ADHD can be measured by an ecologically valid continuous performance test embedded in virtual reality. CNS Spectr 2010 Mar;15(2):125-130. [CrossRef] [Medline]
  10. Barkley RA, Murphy KR, O'Connell T, Connor DF. Effects of two doses of methylphenidate on simulator driving performance in adults with attention deficit hyperactivity disorder. J Safety Res 2005;36(2):121-131. [CrossRef] [Medline]
  11. Montero-López E, Santos-Ruiz A, García-Ríos MC, Rodríguez-Blázquez R, Pérez-García M, Peralta-Ramírez MI. A virtual reality approach to the Trier Social Stress Test: Contrasting two distinct protocols. Behav Res Methods 2016 Mar;48(1):223-232. [CrossRef] [Medline]
  12. Diemer J, Mühlberger A, Pauli P, Zwanzger P. Virtual reality exposure in anxiety disorders: impact on psychophysiological reactivity. World J Biol Psychiatry 2014 Aug;15(6):427-442. [CrossRef] [Medline]
  13. Kothgassner OD, Felnhofer A, Hlavacs H, Beutl L, Palme R, Kryspin-Exner I, et al. Salivary cortisol and cardiovascular reactivity to a public speaking task in a virtual and real-life environment. Computers in Human Behavior 2016;62:124-135. [CrossRef]
  14. Waterlander WE, Jiang Y, Steenhuis IH, Mhurchu CN. Using a 3D virtual supermarket to measure food purchase behavior: a validation study. J Med Internet Res 2015 May 28;17(4):e107 [FREE Full text] [CrossRef] [Medline]
  15. Pericot-Valverde I, Germeroth LJ, Tiffany ST. The use of virtual reality in the production of cue-specific craving for cigarettes: a meta-analysis. Nicotine Tob Res 2016 May;18(5):538-546. [CrossRef] [Medline]
  16. Freeman D, Reeve S, Robinson A, Ehlers A, Clark D, Spanlang B, et al. Virtual reality in the assessment, understanding, and treatment of mental health disorders. Psychol Med 2017 Oct;47(14):2393-2400 [FREE Full text] [CrossRef] [Medline]
  17. Ung C, Menozzi M, Hartmann C, Siegrist M. Innovations in consumer research: the virtual food buffet. Food Qual Prefer 2018;63:12-17. [CrossRef]
  18. Allman-Farinelli M, Ijaz K, Tran H, Pallotta H, Ramos S, Liu J, et al. A virtual reality food court to study meal choices in youth: design and assessment of usability. JMIR Form Res 2019 Jan 9;3(1):e12456 [FREE Full text] [CrossRef] [Medline]
  19. Persky S, Goldring MR, Turner SA, Cohen RW, Kistler WD. Validity of assessing child feeding with virtual reality. Appetite 2018 Apr 1;123:201-207 [FREE Full text] [CrossRef] [Medline]
  20. Moustafa F, Steed A. A Longitudinal Study of Small Group Interaction in Social Virtual Reality. In: Proceedings of the 24th ACM Symposium on Virtual Reality Software and Technology. 2018 Presented at: VRST'18; November 28-December 1, 2018; Tokyo, Japan. [CrossRef]
  21. Sucala M, Schnur JB, Constantino MJ, Miller SJ, Brackman EH, Montgomery GH. The therapeutic relationship in e-therapy for mental health: a systematic review. J Med Internet Res 2012 Aug 2;14(4):e110 [FREE Full text] [CrossRef] [Medline]
  22. Horing B, Newsome ND, Enck P, Babu SV, Muth ER. A virtual experimenter to increase standardization for the investigation of placebo effects. BMC Med Res Methodol 2016 Jul 18;16:84 [FREE Full text] [CrossRef] [Medline]
  23. Deladisma AM, Cohen M, Stevens A, Wagner P, Lok B, Bernard T, Association for Surgical Education. Do medical students respond empathetically to a virtual patient? Am J Surg 2007 Jul;193(6):756-760. [CrossRef] [Medline]
  24. Persky S, Ferrer RA, Klein WM. Nonverbal and paraverbal behavior in (simulated) medical visits related to genomics and weight: a role for emotion and race. J Behav Med 2016 Oct;39(5):804-814 [FREE Full text] [CrossRef] [Medline]
  25. Jimenez YA, Cumming S, Wang W, Stuart K, Thwaites DI, Lewis SJ. Patient education using virtual reality increases knowledge and positive experience for breast cancer patients undergoing radiation therapy. Support Care Cancer 2018 Aug;26(8):2879-2888. [CrossRef] [Medline]
  26. Pandrangi VC, Gaston B, Appelbaum NP, Albuquerque FC, Levy MM, Larson RA. The application of virtual reality in patient education. Ann Vasc Surg 2019 Aug;59:184-189. [CrossRef] [Medline]
  27. Gulhane A, Vyas A, Mitra R, Oruche R, Hoefer G, Valluripally S, et al. Security, Privacy and Safety Risk Assessment for Virtual Reality Learning Environment Applications. In: Proceedings of the 16th IEEE Annual Consumer Communications & Networking Conference. 2019 Presented at: CCNC'19; January 11-14, 2019; Las Vegas, NV.
  28. Botella C, Serrano B, Baños RM, Garcia-Palacios A. Virtual reality exposure-based therapy for the treatment of post-traumatic stress disorder: a review of its efficacy, the adequacy of the treatment protocol, and its acceptability. Neuropsychiatr Dis Treat 2015;11:2533-2545 [FREE Full text] [CrossRef] [Medline]
  29. Garrett B, Taverner T, Gromala D, Tao G, Cordingley E, Sun C. Virtual reality clinical research: promises and challenges. JMIR Serious Games 2018 Oct 17;6(4):e10839 [FREE Full text] [CrossRef] [Medline]
  30. 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 2019 Jan 31;6(1):e11973 [FREE Full text] [CrossRef] [Medline]


VCT: virtual clinical trials
VR: virtual reality


Edited by G Eysenbach; submitted 22.07.19; peer-reviewed by B Feodoroff, C Johnson; comments to author 01.10.19; revised version received 11.10.19; accepted 20.10.19; published 03.01.20

Copyright

©Susan Persky. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 03.01.2020.

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 the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included.