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Sports Medicine & Musculoskeletal Disorders

A multicenter feasibility randomized controlled trial using a virtual reality application of pain neuroscience education for adults with chronic low back pain

ORCID Icon, ORCID Icon, ORCID Icon, , ORCID Icon & ORCID Icon
Article: 2311846 | Received 16 Aug 2023, Accepted 24 Jan 2024, Published online: 14 Feb 2024

Abstract

Background

Chronic low back pain (CLBP) is a highly prevalent condition among adults and is correlated to high levels of pain, high disability, and lower quality of life. Pain neuroscience education (PNE) helps to explain the pain experience and can affect psychosocial factors, such as fear of movement, anxiety, socioeconomic status, work life satisfaction, etc. More recently, virtual reality (VR) programs have emerged allowing for immersive PNE experiences.

Objective

The purpose of this randomized clinical trial is to determine the feasibility of using a VR application for the delivery of immersive PNE (VR-PNE) and other activity training for patients with CLBP presenting to outpatient physical therapy (PT) clinics.

Methods

A two-arm, parallel group, randomized controlled feasibility trial of patients was conducted at 12 outpatient PT clinics from March 9, 2022, through September 9, 2022. The intervention group received PT as usual and VR-PNE while the control group received PT as usual. Between group feasibility, acceptability outcomes and other patient-reported outcomes were assessed at six weeks.

Results:

A total of 595 individuals were evaluated for low back pain during the recruitment period. Seventy individuals were eligible and met definition for CLBP, 52 enrolled and 32 completed the trial. Participant adherence was 63.6% for VR-PNE and 63.2% for PT as usual. Participants found VR-PNE acceptable and reported satisfaction scores (0–100) of 87.37 ± 11.05 compared to 81.17 ± 23.72 in the PT as usual group. There were no significant differences between groups for the BBQ, BRS, FABQ-PA, FABQ-W, GROC, NPRS, NPQ, PCS, and PSEQ at 6 weeks.

Conclusion

The results of the trial suggest that VR-PNE may be acceptable and feasible for patients with CLBP. Study procedures and PT delivery modifications should be considered for the next iteration of this study to improve follow-up assessment rates.

Introduction

Chronic low back pain (CLBP) is a problem that has a large global and economic impact [Citation1]. In the United States alone, reports indicate that CLBP affects approximately 28% of adults each year and 90% across their lifespan, with a financial burden of over $300 billion annually [Citation1]. Low back pain lasting greater than 90 days is correlated to high levels of pain, high disability, and lower quality of life [Citation2, Citation3, Citation4, Citation1, Citation5]. Successful outcomes for CLBP pain are highly influenced by multiple psychological factors, such as depression, low resilience, low pain self-efficacy, and anxiety [Citation6, Citation7, Citation5].

Due to the complex nature of chronic pain, lack of consistent physical causes for persistent disability, and poor outcomes of traditional therapies, it is imperative that alternative approaches to treatment are developed. Pain neuroscience education (PNE) is an excellent adjunct to physical therapy (PT) to assist in addressing chronic pain [Citation8] and is recommended in current clinical practice guidelines [Citation9]. PNE is a multidimensional educational strategy that has been around for decades and helps patients to understand the pain experience as a multidimensional matrix [Citation10, Citation11]. It has been shown to decrease kinesiophobia and pain catastrophizing [Citation12]. More recently, combining PNE with exercise has demonstrated greater improvements in pain, disability, kinesiophobia and pain catastrophizing as compared to exercise alone for chronic musculoskeletal pain [Citation13]. A variety of delivery methods have been utilized, including in-person, telehealth, articles/pamphlets, etc [Citation14].

Virtual Reality (VR) is a developing technology that has been shown to effectively reduce chronic low back pain through therapeutic mechanisms including distraction, neuromodulation of body perception and graded exposure therapy [Citation15, Citation16]. In addition, VR can be a great non-pharmacologic approach for managing chronic low back pain as it has been shown to improve patients’ pain intensity, mood, quality of life, and functional abilities [Citation2]. VR-delivered PNE may provide an effective way for PNE to be administered, reduce burden [Citation17] on clinicians, and make PNE more accessible to patients [Citation18]. Additionally, because many clinicians feel unprepared or uncomfortable with the psychosocial aspects of chronic low back pain [Citation19] a standardized education format could provide some structure to a complicated topic. PNE is traditionally delivered in conjunction with other treatments to provide a comprehensive treatment program [Citation8]. More recently, the development of VR programs has emerged, allowing an immersive PNE experience [Citation20]. A call for more research to determine the benefits of using VR for managing chronic pain conditions in inpatient and outpatient has been established [Citation15, Citation21].

The purpose of this randomized clinical trial was to evaluate the feasibility of delivering PNE through VR for patients with chronic low back pain presenting to outpatient PT clinics.

Materials and methods

Trial design

The study was a two-arm, parallel group, randomized controlled feasibility trial of patients and was conducted in Tennessee. IRB exemption status was granted through University of Utah and Belmont University (IRB_00145358 and IRB_1200). It was determined that PT and PNE pose no more than minimal risk to participants and are commonly used. The trial was prospectively registered (clinicaltrials.gov NCT05285462).

Modifications from registration

The original patient reported outcomes included the Working Alliance Inventory (WAI), which was not recorded due to unintentional omission during REDCap entry. Additionally, data were captured and reported for therapist demographic data, knowledge and attitudes about pain and VR-PNE system specific feedback to better understand the characteristics of therapist teams that had high engagement with this trial.

Participants and randomization

Participants were recruited from 12 outpatient PT clinics in middle Tennessee presenting with a primary complaint of CLBP from March 9, 2022, through September 9, 2022. Inclusion criteria included age 18–75 and LBP greater than or equal to 12 weeks. Exclusion criteria included recent lumbar surgery, neurological condition or compromise, certain systemic diseases, or currently known to be pregnant. The inclusion and exclusion criteria are listed in .

Table 1. Inclusion and exclusion criterion.

Participants were randomized to an intervention group that included PT as usual augmented by virtual reality pain neuroscience education (VR-PNE) or a PT as usual through a block scheme in Research Electronic Data Capture (REDCap), a web-based, Health Insurance Portability and Accountability Act compliant platform (Vanderbilt University, Nashville, TN, version 11.0.3).

Interventions

All participants received standard PT directed by physical therapists. Participants were treated in clinics with a frequency and duration left to the physical therapists’ discretion with no interference by the study team to maintain pragmatism.

PNE 2.0 software (BehaVR Inc., Elizabethtown, KY, version 2.0) was delivered using a consumer grade PICO G2 4K VR head-mounted display (PICO Interactive, San Francisco, California, U.S.A.). PNE 2.0 is a 12-session VR-PNE program for chronic pain that uses both immersive real-world footage and interactive computer-generated imagery (CGI) to deliver visually and emotionally engaging education and relaxation training activities (). VR-PNE combines traditional pain education modules, with customizable patient testimonials, and interactive emotional regulation practices such as breathing and guided mindfulness exercises in six different natural environments. The mean session time is approximately 21 min. Session content leverages VR technology by delivering PNE through artificial interactions with experts and by using engaging content such as patient testimonials, emotional regulation techniques (e.g. mindfulness and breathing exercises) and is detailed in and Appendix A1. Each clinic was provided two systems to utilize in the event of multiple patients requiring VR-PNE intervention or to address technical issues.

Figure 1. PNE 2.0 content modules – BehaVR proprietary content are reproduced with the permission of BehaVR.

Figure 1. PNE 2.0 content modules – BehaVR proprietary content are reproduced with the permission of BehaVR.

Figure 2. PNE 2.0 software schedule.

Figure 2. PNE 2.0 software schedule.

Participants randomized to the VR-PNE group received adjunctive PNE at the clinic during their routine PT visits. Similarly, VR-PNE session frequency varied per physical therapist discretion but could be included with each clinic visit. Prior to the second PT session, baseline outcomes were recorded. All participants received the same sequence of lessons and individual sessions were not tailored. At six weeks, participants had the following measures and tests repeated (). Participants were allowed to continue VR-PNE sessions beyond six sessions. Compliance in each group was assessed post-hoc by examining electronic medical record and VR-PNE software. Each participant’s total number of visits to the clinic were counted and compared to the VR-PNE record of the total number of VR-PNE sessions completed.

Table 2. Outcome measures.

Site recruitment

Initial interest in study was queried during the physical therapists’ regional operations meeting and a list of interested clinic directors provided contact information. One month later, ongoing interest in the study was assessed and the clinic directors who remained interested were included as final host locations. Therapists’ information was also collected, which included demographic data, including age, race/ethnicity; practice and educational details; confidence levels about PNE, VR-PNE and research procedures; and therapists’ knowledge and attitudes about pain.

Staff training

Prior to the start of recruitment, all participating physical therapists were provided an in-person, three-hour training session by the lead investigator. The session included the following information on the study: study rationale with review of PNE efficacy, recruiting strategy and procedures. The training session did not include formal PNE instruction for any clinical staff. Product training included a demonstration of the web-platform, technical product features and a live practice session of the VR-PNE. Physical therapists were provided supporting documents that included a live presentation, links to screening forms, product support information, and standardized communication scripts for recruitment.

All office staff were provided with a one-hour digital training session that included study rationale and instructions for utilizing digital screening forms. A standardized study invitation communication script was provided with a frequently asked questions support document. A second one-hour training session was performed at the three-month mark to refresh office staff. All study staff and physical therapists received the primary investigators’ contact information for ongoing questions and/or concerns.

Clinic recruitment motivational strategies

At the end of each month, the clinic that invited the most participants received 50-dollar gift cards for all staff and new goals for recruitment were established. Emails were sent out by the study team weekly with a scorecard for each clinic and included answers to frequently asked questions. Clinics with low recruiting efforts were individually called to discuss obstacles and barriers. Two regional meetings were held to review study procedures, answer questions and to brainstorm ideas to improve recruiting efforts.

Participant recruitment and study follow-up

All patients with any duration of low back pain were initially invited by clinical staff to receive information from research staff regarding potential participation in the study. All invitations were recorded by clinical staff regardless of interest in the study or chronicity of back pain. An electronic receipt of this recording was emailed to research staff. Research staff called those interested to educate about the study, provide an opportunity to answer questions, and determine eligibility. If agreeable to participation, the consent form with baseline survey was emailed to the participant during the call. If the individual did not complete the study forms, the research staff called the next day as a reminder. This process was repeated for up to three reminder calls. Participants were deemed ineligible for enrollment in either group after completing two visits of PT.

Before visit two, after digital consent and eligibility were confirmed, baseline measures were captured directly through REDCap via a link emailed to participants. The following outcomes were recorded at baseline: (1) Demographic data, including age, sex, race/ethnicity, employment status and general medical and LBP history; (2) Oswestry Disability Index (ODI) [Citation22], Numeric Pain Rating Scale (NPRS) [Citation23], psychosocial covariate measures [Fear Avoidance Belief Questionnaire (FABQ) [Citation28], Pain Catastrophizing Scale (PCS) [Citation25], and Pain Self-Efficacy Scale (PSEQ) [Citation24], Brief Resilience Scale (BRS) [Citation29], Neurophysiology of Pain Questionnaire (NPQ) [Citation27], and the Back Beliefs Questionnaire (BBQ) [Citation30]. Descriptions of baseline and outcome tools can be found in .

Participants completed PT as they normally would with no interference from the study team. Visit attendance was recorded in the electronic medical record and documented by study staff. If applicable, the number of VR-PNE sessions completed was recorded by the VR-PNE headset. Follow-up assessments were collected at six weeks after enrollment. Links to the survey were sent out via automatic, emailed invitations through REDCap. Study staff contacted participants via phone call if study assessments were not filled out within 24 h. Up to three calls were made.

All project data were entered into REDCap to provide easy data manipulation with audit trails for reporting, monitoring and querying records, and an automated export mechanism to common statistical packages (SPSS, SAS, Stata).

Sample size

Because the objectives of this study related to feasibility, a pre-determined recruitment period was used versus a power analysis. The recruitment period was set for six months to assess feasibility outcomes. We conducted a power analysis to determine the number of patients that would be required to detect a small effect size. A sample size of 278 patients would be needed for a t-test (between two independent groups) with alpha error of 0.10 to achieve an effect size of 0.30 on disability with 0.80 statistical power calculated by G*power (Heinrich-Heine-Universität Düsseldorf, Düsseldorf, Germany, version 3.1).

Statistical methods and data analysis

SPSS (IBM, Armonk, NY, U.S.A., version 28) was used for statistical procedures. Baseline categorical variables were provided as frequency counts in tables. Continuous variables were summarized in tables with descriptive statistics. Summary tables report all patient reported outcomes mean differences, 95% confidence intervals and mean error estimates. P-values were reported for individual interpretation but should be reviewed with caution because the study was not adequately powered to detect between group differences.

Primary aims: feasibility and acceptability outcomes

Recruitment rates were measured as percentages for each recruitment step. The invitation rate was calculated by dividing the number of individuals with low back pain that were invited to the study by clinical staff by the number of lumbar evaluations completed by participating sites over the six-month recruitment period. The screening rate was calculated by dividing the number of participants who were screened by research staff/number of patients with low back pain that were invited to the study by clinical staff. Eligibility rate was calculated by dividing the number of patients who were eligible and sent initial surveys (included consent) by the number of participants who were screened by research staff. Consent rate was calculated by dividing the number of participants that were consented and randomized by the number of patients who were eligible and sent initial surveys (included consent). Reasons for invitation and screening refusal were collected as able and described in .

Figure 3. Flow of participants through the trial.

Figure 3. Flow of participants through the trial.

Research-procedure adherence was measured as a rate of participants that completed follow-up assessments by group allocation. PT visit attendance was calculated by counts of PT visits attended in both groups. VR-utilization was measured as a percentage of participants in the VR-PNE group completing at least six VR-PNE sessions. Acceptability of treatment measures included patient satisfaction comparisons between the two groups. Participants were asked “How satisfied were you with receiving VR-PNE as part of your PT care” and “How satisfied were you with your PT care”. Other measures and descriptions can be found in .

Secondary aim 1: to describe the between groups differences for outcome measures (BBQ, BRS, FABQ-PA, FABQ-W, GROC, NPRS, NPQ, PCS, and PSEQ at 6 weeks)

Baseline and follow up dependent variables had missing data. Missingness was assessed with Little’s Missing Completely at Random test (MCAR). A non-monotonic pattern of data missingness was handled using Markov Chain Monte Carlo multiple imputation method. The most appropriate statistical procedures (multivariate Kruskal-Wallis test) were unavailable due to the multiple imputation method. To describe between group differences, separate independent t-tests analyses were conducted for the BBQ, BRS, FABQ-PA, FABQ-W, GROC, NPRS, NPQ, PCS, and PSEQ. The NPRS was pooled as an average of the best, current, and worse and reported subsequently. Means and error measurements were reported for hypothesis generation.

Results

Participants and group allocation

Baseline characteristics are provided in . Inclusion and exclusion criteria are given in . Nineteen participants were allocated to PT as usual and 33 to VR-PNE. Participant allocation was unbalanced due to unequal clinic participation using 4-block randomization.

Table 3. Characteristics of the patient sample by treatment group.

Primary aims: recruitment, invitation, eligibility, and consent rates

A total of 595 individuals were evaluated for low back pain during the six-month recruitment period. Of these individuals, 196 were invited to the study by clinical staff. Sites SBY, SMY, SH accounted for 54.5% of the invitations. Of the 196 invited to the study by clinical staff, 121 individuals (61.7%) were screened by research staff. Reasons for study refusal and exclusion are shown in . Of the 121 individuals screened by research staff, 70 individuals (57.9%) were eligible and sent consent documents and baseline surveys. Of the 70 individuals who verbally agreed to participate, 52 individuals (74.3%) consented and were randomized.

Study and PT adherence rates

illustrates details of group adherence. Of those randomized 19 VR-PNE participants (57.6%) and 13 PT as usual (68.4%) returned follow up assessments. Fourteen participants in the VR-PNE group and six in PT as usual were lost to study follow up for unknown reasons. Participants attended an average of 9.97 visits (SE,1.03) in the VR-PNE group and 8.35 visits (SE,1.77) in the PT as usual group, respectively. Reasons for discontinuation of PT care are detailed in .

Table 4. PT adherence and study adherence.

Table 5. Reasons for discontinuation of PT care.

VR utilization

Overall, 21 of 33 allocated to VR-PNE (63.6%) participated in at least six VR-PNE sessions regardless of follow-up assessment status. Of those who completed the study follow-up assessment, 73.7% completed at least 6 VR sessions. Fifty percent of those who did not complete the study follow up assessment still completed at least six VR sessions ().

Participant satisfaction between VR (mean, 87.37 SD: [11.05]) and PT as usual (mean, 81.17 SD: [23.72]) groups at six weeks is reported in . No adverse events were detected during the VR-PNE or PT sessions.

Table 6. Satisfaction and acceptability of VR.

Secondary aim 1: describe differences between groups by outcome measures (BBQ, BRS, FABQ-PA, FABQ-W, GROC, NPRS, NPQ, PCS, and PSEQ at 6 weeks)

A Little’s MCAR test revealed random missingness (p=.30). Independent t-tests demonstrated no statistically significant difference between the BBQ (-3.31, CI: [-8.21, 2.15], p=.25), BRS (-1.05, CI: [-2.67, 0.58], p=.21), FABQ-PA (-2.36, CI: [-2.36, 1.89], p=.21), FABQ-W (0.05, CI: [-6.71, 6.81], p=.98), GROC (-0.78, CI: [-2.95, 1.39], p=.48), ODI (3.23, CI: [-5.31, 11.77], p=.46), NPRS (0.43, CI: [-1.09, 1.95], p=.58), NPQ (-5.07, CI: [-20.22, 10.07], p=.51) PCS (-2.11, CI: [-6.26, 2.04], p=.32), and PSEQ (-3.26, CI: [-8.56, 2.04], p=.23) at the six week follow-up in those who received PT versus PT and VR-PNE ().

Table 7. Independent samples t-test.

Discussion

The present study describes the feasibility of using a randomized design to assess VR-PNE in addition to traditional PT for those with CLBP. Issues with research methods and intervention methods that affected our outcomes were identified.

In evaluating the research methods, the low rate of study outcome completion is a major concern. Given that many participants continued with PT and VR-PNE intervention but did not complete study outcomes, it is likely that our study processes were sub-optimal. Some explanations might include ease of accessing and completing study assessments, time commitment for completing study assessments, a lack of compensation for completing assessments, and lack of engagement by clinical staff. Study assessments were collected through REDCap, which emails a link to the participant. Some participants noted technical issues with broken links from REDCap emails. Study staff were notified in some of these cases, but the back-and-forth communication and problem solving caused many participants to give up on completing surveys. It is possible that many gave up after experiencing one broken link and did not notify the study team. Sending surveys via SMS text messaging may survey response rates [Citation31,Citation32]. Surveys completed over the telephone may have higher completion rates than email alone, and, if email is used, the completion rate is much higher when participants are called to notify the individual of the email [Citation33].

Time required to complete assessments may also have played a role. REDCap does not consistently document the time for study assessments to be completed. In the cases where this information was available, the time ranged from 10 to 30 min for the baseline assessment. Short forms were used where possible to reduce burden, however some time may be saved by more parsimonious selection of outcomes. Lastly, the clinical staff was burdened by an acquisition that changed several policies during our recruitment period. This process cost the staff a considerable amount of time and mental energy that likely detracted from keeping participants engaged. To address the issues above, our study team will need to expand to include personnel for calling and remaining engaged with participants and secure funding to renumerate participants for their time of completing assessments.

Issues with usual PT care and the VR intervention were also identified. We gained insight from participants and physical therapists at the conclusion of the trial that have guided this discussion.

Participant implementation obstacles included: (1) Education provided by the VR-PNE headset was difficult to hear during clinic operation and auxiliary headphones were not available. (2) The extra time required for VR PNE at the end of the session was inconvenient to participants’ personal schedule. (3) Some analogies used during PNE sessions were difficult to understand or were described as patronizing.

Therapist implementation obstacles included two major themes: therapist work schedule and technological issues. Schedule issues included (1) Set up time, including the education on technology, added time stress to an already busy work schedule. (2) Balancing multiple patients made remembering who was enrolled in the study more difficult. (3) Participants arriving late would often not receive VR-PNE sessions due to other elements of care being prioritized above VR-PNE.

Technology-related issues included: (1) Wi-Fi connectivity issues that disrupted study procedures and workflow. (2) Session data would not launch at times for unknown reasons. (3) Therapist unfamiliarity with product troubleshooting, e.g. recentering visual field with remote when participant removed headset and changed position. (4) Lack of consistent charging procedures resulted in inability to launch sessions at the end of day or the following morning.

Research

Several important findings regarding primary aims in this feasibility trial can be used to improve an expanded implementation of this trial. (1) Our overall recruitment rate indicated that a recruitment time of 3 years would have been required to conduct a fully-powered effectiveness trial. Future design should include more locations with higher volumes with highly engaged clinical staff. (2) Nine different outcome tools were used and may have created survey fatigue and contributed to the relatively low proportion of completed assessments. (3) The screening process did require considerable effort and support from the research team. Clinical sites completing screening and consent processes could improve allocation efforts by eliminating one hand-off point. Including additional educational sessions to review procedures for new employees may also assist with overall recruitment. (4) Attrition rates were high and could be improved with refined research methodology. Better motivational strategies, including motivational interviewing techniques during recruitment and providing financial compensation for providing study-related surveys could reduce attrition. (5) Patient compliance with VR-PNE sessions was better than anticipated with 73.7% completing six or more sessions. The optimal number of VR-PNE sessions is yet to be determined but may be more than six. Changes to the number of VR-PNE sessions should be considered sparingly to balance the participant burden.

Secondary aims also revealed some useful themes. (1) Narrowing the scope to more meaningful outcomes based on directionality of movement could improve follow up reporting (e.g. ODI, etc.). (2) Though group comparisons were only described, the data suggests there may be added value of VR-PNE. VR-PNE satisfaction and visit averages were greater than the PT as usual group indicating that the intervention was well tolerated.

Strengths

This study had several strengths that should be highlighted. (1) Multicenter design enhances the generalizability and diversity in the study population. (2) Pragmatic design demonstrates practices that would closely mimic real-world application. (3) Randomized and controlled methodology minimizes bias and improves reliability of the findings. Lastly, this study demonstrated that outpatient providers, researchers and product developers can collaborate without grant funding to enhance treatment of adults with CLBP.

Limitations

During this trial several limitations were noted: (1) Capturing baseline data after consent was difficult because participants did not complete their baseline survey prior to the second PT visit and would become ineligible. A longer acceptable timeframe for enrollment or direct clinic enrollment could be considered. (2) Clinician attrition made it difficult to keep stable rolling recruitment. Many clinicians’ job status changed during the trial. Including more clinics with higher CLBP patient volume should minimize the impact of clinician attrition. (3) Follow-up outcomes were difficult to capture ad-hoc. A common reason for not completing was the loss of the emailed follow-up link. Participants often verbally reported that they would complete it but did not. After three phone calls, patients could not be contacted and would become lost to follow-up. Providing links via text messages may improve compliance for future efforts. (4) Technical or user difficulties with the device. At times clinicians reported struggling with timing for set up or trouble with patients losing orientation of the VR-PNE field. Furthermore, VR-PNE is not a common tool present in most clinics, nor is it commonly used in entry level education potentially impacting the feasibility of its use by clinicians. (5) Competing interests for clinicians. Clinicians were rolling out new company policy and procedures and reported that scheduling conflicts influenced ability to deliver VR-PNE sessions each visit. (6) Duration of VR-PNE intervention. The program was designed to improve understanding of pain through 12 VR-PNE sessions; however, our design considered the use of an investigational dose of six sessions as acceptable. Future studies should consider utilizing more sessions. (7) Prior use of VR-PNE, sense of presence, nausea, dizziness, feeling of goggles, safety etc. was not formally assessed in participant questionnaires, but no adverse events were reported to clinicians. Future iterations of this trial should formally investigate any adverse events. (8) Lack of similar technology used in control group. VR-PNE is a newer, unique tool used in the clinical setting and could influence one’s outcomes. This study’s control group does not include use of similar, “cool” technology like VR. Future studies might want to use an immersive VR technology in their control group, but with some other experience than PNE. (9) Unequal randomization between groups. The randomization scheme was individualized by clinical site. Due to low recruitment numbers, our randomization was unequal. For a larger trial, we will use a study-wide randomization scheme versus one for each clinical site. (10) Finally, clinician engagement was likely limited due to uncertainty about the recruitment process. The study team received many questions about basic research processes throughout the recruitment timeframe. The additional time taken to reach out to the research team likely made several patients ineligible, and the likelihood that even more clinicians were not proficient in the recruitment process is high. This will be mitigated in future effort by providing a manual for clinicians and providing easy-to-find graphics for clinic bulletin boards.

Conclusion

The results of the trial suggest that VR-PNE may be acceptable and feasible for patients with CLBP but fundamental changes to the study design are necessary prior to scaling up a follow up trial. When participants chose to continue PT, they continued to use VR-PNE education, but the rate of PT attendance could be improved. Additionally, the percentage completion of study assessments was proportionally low and improving follow up completion should be emphasized to reduce missing data. Reducing survey burden by decreasing the number of outcome tools used and sending participants text reminders for sessions and surveys may improve PT attendance and assessment completion rates. The VR-PNE education does not need to change but could be modified to a home component in a future trial to improve flexibility of delivery and decrease external distractions when bundled with PT sessions. To achieve the required sample size to determine between group differences, a longer recruitment duration and improved research strategies to improve follow-up rates are required. Due to the nature of feasibility trials, the secondary aims of this study should be considered as hypothesis generating.

Authors contributions

RM and EL conceived the broader study idea. RM, EL, GW, DL, and HG were involved with the design. RM, EL, JF were involved with analysis and interpretation of data. All authors were involved in drafting of the paper and revising it critically for intellectual content, approval of final version of the manuscript, and all agree to be accountable for all aspects of the work.

Acknowledgements

The authors wish to thank the physical therapists that participated in this study (Alex Crabill, Emily Cobb, Paul Mittura, Mitchell Silvers, Taylor Grantham, Clay McClain, Derik Elmore, Beth Atchley, Kim Sauers, Heather Netherly, Ashley Sager, Joseph Fowler, Jonathan Brown, Rob Colasso, Lauren West).

Disclosure statement

The authors report that there are no competing interests to declare.

Data availability

The data that support the findings of this study are available from the corresponding author, [RM], upon reasonable request.

Additional information

Funding

There is no funding to report for this study. BehaVR (Elizabethtown, KY) provided VR headsets and software.

References

  • Thomas JS, France CR, Applegate ME, et al. Feasibility and safety of a virtual reality dodgeball intervention for chronic low back pain: a randomized clinical trial. J Pain. 2016;17(12):1–13. doi: 10.1016/j.jpain.2016.08.011.
  • Alemanno F, Houdayer E, Emedoli D, et al. Efficacy of virtual reality to reduce chronic low back pain: proof-of-concept of a non-pharmacological approach on pain, quality of life, neuropsychological and functional outcome. PLoS One. 2019;14(5):e0216858. doi: 10.1371/journal.pone.0216858.
  • Baykara RA, Bozgeyik Z, Akgul O, et al. Low back pain in patients with rheumatoid arthritis: clinical characteristics and impact of low back pain on functional ability and health related quality of life. J Back Musculoskelet Rehabil. 2013;26(4):367–374. doi: 10.3233/BMR-130393.
  • Park J-H, Lee S-H, Ko D-S. The effects of the nintendo wii exercise program on chronic work-related low back pain in industrial workers. J Phys Ther Sci. 2013;25(8):985–988. doi: 10.1589/jpts.25.985.
  • Su W-C, Yeh S-C, Lee S-H, et al. A virtual reality lower-back pain rehabilitation approach: system design and user acceptance analysis. In: Universal access in human-computer interaction access to learning, health and well-being. New York City (NY): Springer International Publishing; 2015. p. 374–382.
  • Ahmed SA, Shantharam G, Eltorai AEM, et al. The effect of psychosocial measures of resilience and self-efficacy in patients with neck and lower back pain. Spine J. 2019;19(2):232–237. doi: 10.1016/j.spinee.2018.06.007.
  • Hong JH, Kim HD, Shin HH, et al. Assessment of depression, anxiety, sleep disturbance, and quality of life in patients with chronic low back pain in Korea. Korean J Anesthesiol. 2014;66(6):444–450. doi: 10.4097/kjae.2014.66.6.444.
  • Louw A, Puentedura EJ, Diener I, et al. Pain neuroscience education: which pain neuroscience education metaphor worked best? S Afr J Physiother. 2019;75(1):1329. doi: 10.4102/sajp.v75i1.1329.
  • George SZ, Fritz JM, Silfies SP, et al. Interventions for the management of acute and chronic low back pain: revision 2021. J Orthop Sports Phys Ther. 2021;51(11):CPG1–CPG60. doi: 10.2519/jospt.2021.0304.
  • Moseley GL, Butler DS. Fifteen years of explaining pain: the past, present, and future. J Pain. 2015;16(9):807–813. doi: 10.1016/j.jpain.2015.05.005.
  • Moseley GL, Nicholas MK, Hodges PW. A randomized controlled trial of intensive neurophysiology education in chronic low back pain. Clin J Pain. 2004;20(5):324–330. doi: 10.1097/00002508-200409000-00007.
  • Malfliet A, Kregel J, Meeus M, et al. Patients with chronic spinal pain benefit from pain neuroscience education regardless the self-reported signs of central sensitization: secondary analysis of a randomized controlled multicenter trial. Pm R. 2018;10(12):1330–1343.e1. doi: 10.1016/j.pmrj.2018.04.010.
  • Siddall B, Ram A, Jones MD, et al. Short-term impact of combining pain neuroscience education with exercise for chronic musculoskeletal pain: a systematic review and meta-analysis. Pain. 2022;163(1):e20–e30. doi: 10.1097/j.pain.0000000000002308.
  • Bülow K, Lindberg K, Vaegter HB, et al. Effectiveness of pain neurophysiology education on musculoskeletal pain: a systematic review and meta-analysis. Pain Med. 2021;22(4):891–904. doi: 10.1093/pm/pnaa484.
  • Pourmand A, Davis S, Marchak A, et al. Virtual reality as a clinical tool for pain management. Curr Pain Headache Rep. 2018;22(8):53. doi: 10.1007/s11916-018-0708-2.
  • Tack C. Virtual reality and chronic low back pain. Disabil Rehabil Assist Technol. 2021;16(6):637–645. doi: 10.1080/17483107.2019.1688399.
  • Tran JE, Fowler CA, Delikat J, et al. Immersive virtual reality to improve outcomes in veterans with stroke: protocol for a single-arm pilot study. JMIR Res Protoc. 2021;10(5):e26133. doi: 10.2196/26133.
  • Louw A, Louw C, Flynn T. Case report: pain neuroscience education using virtual reality. Pain Rehab – J Physiotherapy Pain Assoc. 2019;2019:4–7.
  • Synnott A, O’Keeffe M, Bunzli S, et al. Physiotherapists may stigmatise or feel unprepared to treat people with low back pain and psychosocial factors that influence recovery: a systematic review. J Physiother. 2015;61(2):68–76. doi: 10.1016/j.jphys.2015.02.016.
  • Brown L, DiCenso-Fleming T, Ensign T, et al. Chronic pain education delivered with a virtual reality headset in outpatient physical therapy clinics: a multi-site exploratory trial. Am J Transl Res. 2023;15(5):3500–3510.
  • Ahmadpour N, Randall H, Choksi H, et al. Virtual reality interventions for acute and chronic pain management. Int J Biochem Cell Biol. 2019;114:105568. doi: 10.1016/j.biocel.2019.105568.
  • Fairbank JC, Couper J, Davies JB, et al. The Oswestry low back pain disability questionnaire. Physiotherapy. 1980;66(8):271–273.
  • Childs JD, Piva SR, Fritz JM. Responsiveness of the numeric pain rating scale in patients with low back pain. Spine (Phila Pa 1976). 2005;30(11):1331–1334. doi: 10.1097/01.brs.0000164099.92112.29.
  • Nicholas MK. The pain self-efficacy questionnaire: taking pain into account. Eur J Pain. 2007;11(2):153–163. doi: 10.1016/j.ejpain.2005.12.008.
  • Sullivan MJL, Bishop SR, Pivik J. The pain catastrophizing scale: development and validation. Psychological Assess. 1995;7(4):524–532. doi: 10.1037//1040-3590.7.4.524.
  • Jaeschke R, Singer J, Guyatt GH. Measurement of health status. Ascertaining the minimal clinically important difference. Control Clin Trials. 1989;10(4):407–415. doi: 10.1016/0197-2456(89)90005-6.
  • Moseley L. Unraveling the barriers to reconceptualization of the problem in chronic pain: the actual and perceived ability of patients and health professionals to understand the neurophysiology. J Pain. 2003;4(4):184–189. doi: 10.1016/s1526-5900(03)00488-7.
  • Williamson E. Fear avoidance beliefs questionnaire (FABQ). Aust J Physiother. 2006;52(2):149. doi: 10.1016/s0004-9514(06)70052-6.
  • Smith BW, Dalen J, Wiggins K, et al. The brief resilience scale: assessing the ability to bounce back. Int J Behav Med. 2008;15(3):194–200. doi: 10.1080/10705500802222972.
  • Bostick GP, Schopflocher D, Gross DP. Validity evidence for the back beliefs questionnaire in the general population. Eur J Pain. 2013;17(7):1074–1081. doi: 10.1002/j.1532-2149.2012.00275.x.
  • Boyd A, Tilling K, Cornish R, et al. Professionally designed information materials and telephone reminders improved consent response rates: evidence from an RCT nested within a cohort study. J Clin Epidemiol. 2015;68(8):877–887. doi: 10.1016/j.jclinepi.2015.03.014.
  • Kew S. Text messaging: an innovative method of data collection in medical research. BMC Res Notes. 2010;3(1):342. doi: 10.1186/1756-0500-3-342.
  • Groves RM, Fowler FJ, Jr, Couper MP, et al. Survey methodology. Hoboken (NJ): John Wiley & Sons; 2011.

Appendix A1. Detail of VR-PNE curriculum modules