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ORIGINAL RESEARCH article

Front. Pediatr., 28 May 2021
Sec. General Pediatrics and Pediatric Emergency Care
Volume 9 - 2021 | https://doi.org/10.3389/fped.2021.645814

Pilot Study of Telehealth Delivered Rehabilitative Exercise for Youth With Concussion: The Mobile Subthreshold Exercise Program (MSTEP)

Sara P. D. Chrisman1,2* Jason A. Mendoza1,2,3 Chuan Zhou1,2 Tonya M. Palermo1,4 Tierra Gogue-Garcia1 Kathleen F. Janz5 Frederick P. Rivara1,2,6
  • 1Center for Child Health, Behavior and Development, Seattle Children's Research Institute, Seattle, WA, United States
  • 2Department of Pediatrics, University of Washington, Seattle, WA, United States
  • 3Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States
  • 4Department of Anesthesiology and Pain Medicine, University of Washington, Seattle, WA, United States
  • 5Department of Health and Human Physiology, University of Iowa, Iowa City, IA, United States
  • 6Harborview Injury Prevention and Research Center, Seattle, WA, United States

Background: Concussion is common, and up to 30% of youth develop persistent symptoms. Preliminary data suggests treatment with rehabilitative exercise is beneficial, but most programs require frequent in-person visits, which is challenging for youth in rural areas, and has been made more difficult for all youth during the COVID-19 pandemic. We have adapted an exercise intervention to be delivered via telehealth using Zoom and personal fitness devices, which could ensure access to this type of treatment.

Objective: The goal of this study was to assess feasibility and acceptability of a telehealth delivered exercise intervention for concussion, the Mobile Subthreshold Exercise Program (MSTEP), and collect pilot data regarding efficacy.

Materials and Methods: All youth received the 6-week MSTEP intervention which included wearing a Fitbit and setting exercise heartrate and duration goals weekly over Zoom with the research assistant. Youth completed standardized measures of concussive symptoms (Health Behavior Inventory, HBI), fear-avoidance (Fear of Pain Questionnaire, FOPQ) and health-related quality of life (Pediatric Quality of life Assessment, PedsQL), as well as a structured qualitative exit interview. We examined change in measures over time using mixed effects modeling, controlling for age, sex, prior concussion and duration of symptoms. We coded qualitative interviews using Thematic analysis.

Results: We recruited 19 subjects, 79% female with average age 14.3 (SD 2.2) and mean duration of symptoms 75.6 days (SD 33.7). Participants wore the Fitbit on 80% of days, and completed 94% of surveys and 96% of Zoom calls. Concussive symptoms (HBI) decreased significantly over the 6 week intervention (−10.6, 95%CI: −16.0 to −5.1) as did fear-avoidance (−21.6, 95%CI: −29.8 to −13.5). PedsQL improved significantly during the same time period (+15.1, 95%CI: 8.6–21.6). Approximately three-quarters (76%) of youth rated their care as “excellent.” Participants appreciated the structure of the guided exercise program and the support of the RA. They also enjoyed being able to track their progress with the Fitbit.

Conclusion: This study provides evidence for the feasibility and acceptability of a telehealth delivered rehabilitative exercise intervention for youth with concussion. Further research utilizing a randomized controlled trial is needed to assess efficacy.

Clinical Trial Registration: https://clinicaltrials.gov, identifier: NCT03691363. https://clinicaltrials.gov/ct2/show/NCT03691363

Introduction

Estimates suggest up to 1.9 million youth sustain a concussion annually in the United States (1). While concussion normally resolves within days to weeks following injury, an estimated 15–30% of youth experience symptoms such as headache, fatigue, dizziness, and difficulty concentrating lasting more than 4 weeks (2, 3), currently referred to as Persistent Post-Concussive Symptoms (PPCS) (3). PPCS can confer marked functional impairment, interfering with academic performance and social interaction, and resulting in negative outcomes such as depression and school failure (46). Individuals who develop PPCS represent a small proportion of those injured, yet a disproportionate number of those requiring more intensive interventions and accruing medical expenses (6).

Research suggests a rehabilitative approach with sub-symptom threshold aerobic exercise may provide benefit for PPCS (716). Individuals with PPCS tend to have increased symptoms when engaging in physical activity (PA), and these symptoms can lead to avoidance of PA and subsequent disability (17). Studies have reported benefit of rehabilitative exercise for youth with concussion, thought due to retraining the autonomic nervous system, thereby facilitating more rapid recovery (8, 11, 13). Our prior study of an intervention using two in-person visits (Subthreshold Exercise Program, STEP) found benefit for aerobic exercise compared to an active control (stretching) (18). However, requiring in-person visits was challenging for youth who lived far from our urban location, and appeared to impede access.

Interventions delivered via telehealth improve access, generalizability and scalability of care (19). With technology-based interventions, treatment can be offered to youth in their homes, obviating the need to travel to distant clinical locations to receive subspecialty care. During the current COVID-19 pandemic there are additional advantages to delivering an intervention via telehealth, given that being seen in-person confers risk (20). As internet and mobile capacities have expanded, remotely administered telehealth interventions have proved efficacious for treating a broad array of medical issues, and encouraging health promotion (21). Telehealth treatment delivery has been particularly effective for increasing PA when paired with PA trackers (22, 23), and can improve adherence by utilizing more frequent touchpoints with participants (24).

Prior research on exercise as a treatment for PPCS has been grounded in the theory that physiologic change is responsible for treatment effects (8). We propose that positive outcomes associated with encouraging youth to exercise may also be mediated by psychologic change (18). In other words, youth with PPCS may have developed a fear-avoidance response to physical activity, similar to what has been described in youth with chronic pain (2527). Other researchers have confirmed elevated levels of fear-avoidance in individuals with PPCS (28, 29), and our pilot study of an in-person delivered exercise program for concussion (the Subthreshold Exercise Program, or STEP) (18), demonstrated that fear-avoidance decreased in parallel with concussive symptoms (18). Interventions that encourage youth to exercise despite fears of exacerbating symptoms have been shown to be an effective approach to improving function in individuals with chronic pain (30).

Building from our in-person intervention (STEP), the goal of this study was to adapt the intervention to be delivered via telehealth (the Mobile Subthreshold Exercise Program, MSTEP) and to use mixed methods to assess the feasibility and acceptability of this approach. We also collected pilot data regarding treatment effects on primary outcomes (concussive symptoms and health-related quality of life) and impact on fear-avoidance.

Materials and Methods

Overview of Study

Methods were very similar to our previous study (18), but with the transition of all visits to telehealth. Subjects completed on-line surveys at baseline, 3 and 6 weeks via REDCap (31). The 6-week aerobic exercise program was delivered via weekly video conference calls with a research assistant (RA), advancing activity goals weekly. All subjects wore a Fitbit Charge 2 to allow them to track whether they were meeting activity goals. Youth and parents were provided incentives for participation, which were delivered after each task was completed.

Sample

Youth were recruited during 2018–2019 through subspecialty concussion clinics (Sports Medicine and Rehabilitative Medicine) at Seattle Children's Hospital and the University of Washington by contacting families through a variety of means (texting, phone calls, and letters) to invite them to participate, as well as emailing providers in advance of a visit. Inclusion criteria included: (1) age 9–25 years old, (2) concussion occurring 1–9 months prior to the start of the study diagnosed by a clinician trained in concussion management consistent with the 2017 Berlin consensus definition of concussion (32), (3) PPCS as defined by the presence of at least three concussive symptoms rated at least 2 or greater on the Health and Behavior Inventory (HBI) (33), and a total score of 10 or greater. Exclusion criteria included: (1) parent and/or youth not fluent in English, (2) other injuries or medical conditions in addition to concussion that prompted a clinician to recommend against physical activity, (3) daily average of 30 min or greater of moderate to vigorous physical activity at time of enrollment, and (4) already completed a physical therapy intervention to increase aerobic exercise. Youth who chose to engage in the study continued to work with their concussion provider to receive usual care. The study was approved by the Institutional Review Board of Seattle Children's Research Institute. All youth and parents completed written informed consent. This study was registered at Clinicaltrials.gov #NCT03691363.

Mobile Sub-threshold Exercise Program (MSTEP) Intervention

Subjects were asked to complete a home aerobic exercise program daily for 6 weeks. The exercise prescription included recommendations for frequency, duration and intensity in accordance with best practice (7). The initial goal was set at 10 min at a heart rate (HR) of 120 with an expectation that youth would attempt to exercise daily, but might miss 1–2 days per week. Individuals could choose the type of exercise they completed. If symptoms worsened during exercise, youth were instructed to take a break and decrease the heart rate goal utilized until they were able to tolerate 10 min of exercise. Goals were advanced weekly as tolerated to a maximum of 60 min of physical activity per day at a HR of 140. The HR of 140 was chosen as this approximates MVPA for youth (34, 35). The duration of 60 min/day was chosen as this is the US federally recommended level of MVPA for youth (36). Subjects were provided a Fitbit Charge 2 to monitor HR during their home exercise program and met with an RA weekly via video conference (Zoom) to discuss the progress of exercise that week, and advance goals for the next week. Zoom meetings took ~15 min and were scheduled at a time convenient for the participant.

Assessments

Primary Outcome

The primary goal of the study was to assess feasibility and acceptability of the MSTEP intervention. Parents and youth completed an online survey using a standardized scale of patient satisfaction, the Satisfaction with Study questionnaire, consisting of 8 items such as “How would you rate the quality of care you have received?” and “Would you recommend this study to a friend.” They also completed structured qualitative interviews at the end of the study (via phone or video conference), in order to elucidate which parts of the study were most appealing and which could be improved. Interview questions were framed in an open-ended fashion and focused on participant experience with Fitbits, video conference calls and overall study procedures. Interviews were conducted by one of the RAs on the study using a standardized script, and were digitally recorded to allow for review and coding.

Secondary Outcomes

We collected pilot efficacy data regarding outcomes targeted by the intervention, including concussive symptoms, health-related quality of life, sleep, and symptoms of anxiety and depression. All scales were completed by youth via online self-report and included:

° Health and Behavior Inventory: The HBI is a component of the NIH Common Data Elements for research on concussion (37, 38), and is a 20-item instrument that measures the frequency of post-concussive symptoms on a four-point likert scale with higher scores indicating greater symptom severity. The scale yields scores in somatic and cognitive domains demonstrated by factor analysis to be robust across raters and time (Cronbach's alpha = 0.85–0.94) (33). This scale has demonstrated validity and reliability among adolescents and individuals with mild TBI (33, 3942). Higher scores indicate worse concussion symptoms.

° Pediatric Quality of Life Inventory: The PedsQL is a 23-item 5-point questionnaire that assesses physical, emotional, social, and school functioning, including number of school days missed with established validity and reliability (43). Higher scores indicate better health-related quality of life.

° Fear of pain questionnaire, adapted for concussive symptoms: The FOPQ-C is a 24-item questionnaire, that has been shown to reliably and validly measure pain-related fear in youth (Cronbach's alpha 0.92) (44). Fear of pain is thought to arise from pain catastrophizing in the fear-avoidance model (25, 45). We adapted this measure to be specific to concussive symptoms, changing “pain” in each item to “concussive symptoms.” Higher scores indicate more fear and/or avoidance of concussive symptoms.

° Patient Health Questionnire-9: The PHQ-9 is a component of the NIH Common Data Elements for research on concussion. It is a 9-item instrument that measures depressive symptoms on a 4-point likert scale with higher scores indicating greater severity. This scale has demonstrated validity and reliability among adolescents and individuals with concussion (4650).

° Generalized Anxiety Disorder Scale-7: The GAD-7 is a 7-item standardized anxiety measure that asks youth to rate how often they have been bothered by anxiety symptoms using a 0–3 scale (from “Not at all” to “Nearly every day”), with higher score indicating more severe anxiety. It has been shown to have good reliability, as well as criterion, construct, factorial, and procedural validity for assessing anxiety (51, 52).

° Adolescent Sleep Wake Scale-10 item: The ASWS is a 10-item scale regarding sleep quality that has been shown to have good internal consistency and construct validity (53). Higher scores indicate improved sleep quality.

Covariates

Parents and youth completed additional surveys at the start of the study regarding demographic characteristics including: age, sex, race, ethnicity, parental education, and history of prior mental health diagnoses in youth and family members. Information was also collected regarding injury characteristics: date of injury (used to calculate duration of symptoms), mechanism of injury, primary symptoms experienced, and history of prior concussion.

Analysis

Data were examined for distribution and completeness. Data regarding satisfaction with the intervention were reported descriptively. Recordings of qualitative exit interviews were reviewed and coded iteratively using Thematic analysis to identify parts of the MSTEP intervention that were particularly liked or disliked (54). Changes in quantitative outcomes over time were examined using linear mixed effects regression models with time modeled as a discrete variable, while controlling for covariates of age, sex, duration of symptoms, and history of prior concussion. Subject-specific random intercept was included to account for clustering due to repeated measures within subjects. Fixed effect coefficients were tested using F-tests with Kenward–Roger methods for denominator degrees of freedom (55). All analyses were conducted using R statistical software (56).

Results

Sample

We approached 130 individuals, 78 were eligible, 16 declined, 16 were interested but did not follow through and 27 did not respond, leaving 19 who enrolled in the study. One individual withdrew from the study at 3 weeks due to increasing headaches. The sample was three-quarters female, average age 14.5 years (SD = 2.3 years), and majority white (63%, see Table 1). Duration of symptoms was about 2 months (average = 75.2 days, SD = 33.7) and all individuals reported headache, with difficulty concentrating and fatigue as the next most common symptoms.

TABLE 1
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Table 1. Demographics of youth participating in the Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle, WA 2018–2019.

Feasibility and Acceptability

Participants wore the Fitbit on 80% of days and completed 94% of surveys and 96% of Zoom calls. Both youth and parents expressed a high level of satisfaction with the study (see Table 2). More than three-quarters of youth and 69% of parents rated the study as “excellent,” and the remaining chose “good.” All parents and youth expressed that they would recommend the study to a friend. One parent and one youth expressed indifference or mild dissatisfaction on a few of the ratings.

TABLE 2
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Table 2. Satisfaction with Study ratings for youth and parents participating in the Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle, WA 2018–2019.

Qualitative Interviews Regarding MSTEP Intervention

Exit interviews were completed by 79% of participants. Dominant themes suggested subjects overall had very positive experiences with the MSTEP intervention, particularly mentioning enjoying wearing the Fitbit, liking the structure of a gradual increase in exercise supported by an RA, and appreciating being able to get back to their sports and other activities (see Table 3). A fair number of youth mentioned that their symptoms had improved. A few youth had difficulties with syncing and charging the Fitbit, and a few discussed challenges in determining how many minutes they had achieved at their goal heart rate. Two youth mentioned symptoms worsening.

TABLE 3
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Table 3. Qualitative data from exit interviews with youth and parents participating in the Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle WA 2018–2019.

Outcome Data

Mixed effects regression models indicated concussive symptoms (HBI) improved significantly from baseline to weeks 3 and 6 while health-related quality of life (PedsQL) improved (Figure 1, and see Appendix for table). Fear-avoidance of concussive symptoms (FOPQ-C) declined significantly over the same time period (Figure 1), as did symptoms of anxiety (GAD7) and depression (PHQ9) (Figure 2). Sleep (ASWS) significantly improved at 6 weeks compared to baseline (Figure 2). Covariates were included in all models (age, sex, history of prior concussion, and duration of symptoms), but they did not affect model fit significantly (in the HBI model, likelihood ratio test comparing models with and without covariate adjustment had p = 0.22).

FIGURE 1
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Figure 1. Trajectories of concussive symptoms, health-related quality of life and fear-avoidance for youth participating in a Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle, WA 2018–2019.

FIGURE 2
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Figure 2. Trajectories of mental health symptoms and sleep for youth participating in a Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle, WA 2018–2019.

Discussion

Research indicates that exercise is beneficial for treating youth with persistent post-concussive symptoms (PPCS), but prior studies have required multiple in-person visits (716). This is the first study to show that a rehabilitative exercise program for concussion (MSTEP) can be feasibly delivered via telehealth, a useful adaptation during a pandemic when in-person care is both challenging to access and higher risk (20). Youth and parents expressed high satisfaction with MSTEP, and would recommend this program to others. Youth in particular enjoyed the structured approach to returning to physical activity and the weekly video conference support from the RA. They also liked wearing the Fitbit, as it provided a means to assess whether they were meeting their activity goals. Technical difficulties were minimal and all were resolved during the study.

In order to adapt the study to be delivered via telehealth, we had to derive an alternate means for providing a tailored exercise program. Most in-person programs utilize a fitness test such as the Buffalo Concussion Treadmill Test to determine a target heart rate (57), which would be challenging to complete remotely as it requires a treadmill that can achieve a high level of grade. To replace this assessment, we designed a program that would target the approximate MVPA for a youth of the average age in the study (HR 140), and then asked participants to adjust the intensity based on their symptoms. Subjects tolerated this level of MVPA well and were comfortable making these adjustments. Only one participant ended up withdrawing from the study, supporting the acceptability of this approach.

Our preliminary analysis of quantitative outcomes suggested significant declines in concussive symptoms (HBI) during the 6-week intervention. Given that youth participants were enrolled following an injury, some level of improvement would be expected during the 6-week study, and the lack of a control group limits interpretation of declines in concussive symptoms. Future research with a randomized controlled trial is needed to ensure improvement in symptoms is not due to the passage of time. The MSTEP intervention effect (i.e., decline in concussive symptoms) was similar to an in-person exercise program (STEP) at 3 weeks, but slightly less strong at 6 weeks (18). We also noted improvements in depression, anxiety, sleep, and health-related quality of life, all of which paralleled declines in concussive symptoms. Future research will be needed to determine whether such improvements are due to resolution of concussive symptoms, or represent secondary endpoints. Fear-avoidance of concussive symptoms declined as it did in our previous pilot work (18), again suggesting that rehabilitative exercise addresses not only physiologic symptoms, but psychologic issues (such as fear of concussive symptoms) that may be responsible for symptom perpetuation.

This was a pilot study, and as such the sample size was small limiting generalizability. We note that the rate of recruitment appears low, which could introduce bias. However, in truth only 20% of youth declined participation. The remaining individuals either never responded to outreach (passive decline) or stopped responding. We suspect that many of these individuals recovered and therefore were no longer eligible, but this is difficult to verify. In any case, our recruitment numbers were comparable to a study by another group using in-person exercise to treat youth with PPCS (13). We also note that we did not have a concurrent control group for comparison and thus we cannot assess efficacy. Our next step is to conduct a larger randomized controlled trial of the MSTEP approach using an active control comparator (a stretching intervention) to assess the effect of the intervention on concussive symptoms and health-related quality of life, and examine potential mediators of the intervention effect such as fear-avoidance of concussive symptoms. We also plan to measure MVPA objectively using hip-mounted accelerometry, to assess whether increases in MVPA mediate recovery.

Conclusions

A telehealth-delivered rehabilitative exercise program for youth with concussion (MSTEP) is both feasible and acceptable. A larger randomized controlled trial is needed to assess efficacy for this approach.

Data Availability Statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Ethics Statement

The studies involving human participants were reviewed and approved by Seattle Children's Research Institute IRB. Written informed consent to participate in this study was provided by the participants' legal guardian/next of kin.

Author Contributions

SC conceived and designed the study, obtained funding, coordinated data collection, oversaw analysis, drafted the manuscript, and submitted the final version. JM, TP, and FR contributed to the design of the study, supported data collection and analysis, provided critical revisions to the manuscript, and approved the final version. CZ completed the quantitative data analysis, provided critical revisions to the manuscript, and approved the final version. TG-G completed the data collection, cleaned and prepared data for final analysis provided critical revisions to the manuscript, and approved the final version. KJ provided insight into the design of the study (particularly the intervention methodology), supported data analysis, provided critical revisions to the manuscript, and approved the final version. All authors contributed to the article and approved the submitted version.

Funding

The support for this research was provided by the Satterberg Foundation in addition to internal funds from the Institute for Child Health, Behavior and Development, Seattle Children's Research Institute. Neither organization had any involvement in the study design, analysis, or reporting of results.

Conflict of Interest

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Acknowledgments

We would like to thank the clinicians who partnered with us to ensure we could offer this treatment to youth with concussion, and the youth and parents who engaged with us in this work.

References

1. Bryan MA, Rowhani-Rahbar A, Comstock RD, Rivara F, Seattle Sports Concussion Research Collaborative. Sports- and Recreation-Related Concussions in US Youth. Pediatrics. (2016) 138:e20154635. doi: 10.1542/peds.2015-4635

CrossRef Full Text | Google Scholar

2. Barlow KM, Crawford S, Brooks BL, Turley B, Mikrogianakis A. The incidence of postconcussion syndrome remains stable following mild traumatic brain injury in children. Pediatr Neurol. (2015) 53:491–7. doi: 10.1016/j.pediatrneurol.2015.04.011

CrossRef Full Text | Google Scholar

3. Zemek R, Barrowman N, Freedman SB, Gravel J, Gagnon I, McGahern C, et al. Clinical risk score for persistent postconcussion symptoms among children with acute concussion in the ED. JAMA. (2016) 315:1014. doi: 10.1001/jama.2016.1203

PubMed Abstract | CrossRef Full Text | Google Scholar

4. Russell K, Selci E, Chu S, Fineblit S, Ritchie L, Ellis MJ. Longitudinal assessment of health-related quality of life following adolescent sports-related concussion. J Neurotrauma. (2017) 34:2147–53. doi: 10.1089/neu.2016.4704

PubMed Abstract | CrossRef Full Text | Google Scholar

5. Fineblit S, Selci E, Loewen H, Ellis M, Russell K. Health-related quality of life after pediatric mild traumatic brain injury/concussion: a systematic review. J Neurotrauma. (2016) 33:1561–8. doi: 10.1089/neu.2015.4292

PubMed Abstract | CrossRef Full Text | Google Scholar

6. Russell K, Selci E, Black B, Ellis MJ. Health-related quality of life following adolescent sports-related concussion or fracture: a prospective cohort study. J Neurosurg Pediatr. (2019) 23:455–64. doi: 10.3171/2018.8.PEDS18356

PubMed Abstract | CrossRef Full Text | Google Scholar

7. Howell DR, Taylor JA, Tan CO, Orr R, Meehan WP. The role of aerobic exercise in reducing persistent sport-related concussion symptoms. Med Sci Sports Exerc. (2019) 51:647–52. doi: 10.1249/MSS.0000000000001829

PubMed Abstract | CrossRef Full Text | Google Scholar

8. Leddy JJ, Kozlowski K, Donnelly JP, Pendergast DR, Epstein LH, Willer B. A preliminary study of subsymptom threshold exercise training for refractory post-concussion syndrome. Clin J Sport Med. (2010) 20:21–7. doi: 10.1097/JSM.0b013e3181c6c22c

PubMed Abstract | CrossRef Full Text | Google Scholar

9. Leddy JJ, Haider MN, Hinds AL, Darling S, Willer BS. A preliminary study of the effect of early aerobic exercise treatment for sport-related concussion in males. Clin J Sport Med. (2018) 29:353–360. doi: 10.1097/JSM.0000000000000663

PubMed Abstract | CrossRef Full Text | Google Scholar

10. Leddy JJ, Haider MN, Ellis MJ, Mannix R, Darling SR, Freitas MS, et al. Early subthreshold aerobic exercise for sport-related concussion. JAMA Pediatr. (2019) 173:319–25. doi: 10.1001/jamapediatrics.2018.4397

PubMed Abstract | CrossRef Full Text | Google Scholar

11. Gagnon I, Galli C, Friedman D, Grilli L, Iverson GL. Active rehabilitation for children who are slow to recover following sport-related concussion. Brain Injury. (2009) 23:956–64. doi: 10.3109/02699050903373477

PubMed Abstract | CrossRef Full Text | Google Scholar

12. Gagnon I, Grilli L, Friedman D, Iverson GL. A pilot study of active rehabilitation for adolescents who are slow to recover from sport-related concussion. Scand J Med Sci Sports. (2015) 26:299–306. doi: 10.1111/sms.12441

PubMed Abstract | CrossRef Full Text | Google Scholar

13. Kurowski BG, Hugentobler J, Quatman-Yates C, Taylor J, Gubanich PJ, Altaye M, et al. Aerobic exercise for adolescents with prolonged symptoms after mild traumatic brain injury: an exploratory randomized clinical trial. J Head Trauma Rehabil. (2016) 32:79–89. doi: 10.1097/HTR.0000000000000238

PubMed Abstract | CrossRef Full Text | Google Scholar

14. Gauvin-Lepage J, Friedman D, Grilli L, Sufrategui M, De Matteo C, Iverson GL, et al. Effectiveness of an exercise-based active rehabilitation intervention for youth who are slow to recover after concussion. Clin J Sport Med. (2018) 30:423–432. doi: 10.1097/JSM.0000000000000634

PubMed Abstract | CrossRef Full Text | Google Scholar

15. Grabowski P, Wilson J, Walker A, Enz D, Wang S. Multimodal impairment-based physical therapy for the treatment of patients with post-concussion syndrome: a retrospective analysis on safety and feasibility. Phys Ther Sport. (2017) 23:22–30. doi: 10.1016/j.ptsp.2016.06.001

PubMed Abstract | CrossRef Full Text | Google Scholar

16. Dobney DM, Grilli L, Kocilowicz H, Beaulieu C, Straub M, Friedman D, et al. Evaluation of an active rehabilitation program for concussion management in children and adolescents. Brain Injury. (2017) 31:1753–9. doi: 10.1080/02699052.2017.1346294

PubMed Abstract | CrossRef Full Text | Google Scholar

17. Broshek DK, De Marco AP, Freeman JR. A review of post-concussion syndrome and psychological factors associated with concussion. Brain Injury. (2015) 29:228–37. doi: 10.3109/02699052.2014.974674

PubMed Abstract | CrossRef Full Text | Google Scholar

18. Chrisman S, Whitlock K, Mendoza J, Burton MS, Somers E, Hsu A, et al. Pilot randomized controlled trial of an exercise program requiring minimal in-person visits for youth with persistent sport-related concussion. Front Neurol. (2019) 10:623. doi: 10.3389/fneur.2019.00623

PubMed Abstract | CrossRef Full Text | Google Scholar

19. Hsing JC, Wang CJ, Wise PH. Child Health and Telehealth in Global, Underresourced settings. Pediatr Clin North Am. (2020) 67:773–81. doi: 10.1016/j.pcl.2020.04.014

PubMed Abstract | CrossRef Full Text | Google Scholar

20. Krist AH, DeVoe JE, Cheng A, Ehrlich T, Jones SM. Redesigning primary care to address the COVID-19 pandemic in the midst of the pandemic. Ann Fam Med. (2020) 18:349–54. doi: 10.1370/afm.2557

PubMed Abstract | CrossRef Full Text | Google Scholar

21. Shigekawa E, Fix M, Corbett G, Roby DH, Coffman J. The current state of telehealth evidence: a rapid review. Health Affairs. (2018) 37:1975–82. doi: 10.1377/hlthaff.2018.05132

PubMed Abstract | CrossRef Full Text | Google Scholar

22. Mendoza JA, Baker KS, Moreno MA, Whitlock K, Abbey-Lambertz M, Waite A, et al. A Fitbit and Facebook mHealth intervention for promoting physical activity among adolescent and young adult childhood cancer survivors: a pilot study. Pediatr Blood Cancer. (2017) 64:e26660. doi: 10.1002/pbc.26660

PubMed Abstract | CrossRef Full Text | Google Scholar

23. Schoenfelder E, Moreno M, Wilner M, Whitlock KB, Mendoza JA. Piloting a mobile health intervention to increase physical activity for adolescents with ADHD. Prev Med Rep. (2017) 6:210–3. doi: 10.1016/j.pmedr.2017.03.003

PubMed Abstract | CrossRef Full Text | Google Scholar

24. Palermo TM, Law EF, Fales J, Bromberg MH, Jessen-Fiddick T, Tai G. Internet-delivered cognitive-behavioral treatment for adolescents with chronic pain and their parents. Pain. (2016) 157:174–85. doi: 10.1097/j.pain.0000000000000348

PubMed Abstract | CrossRef Full Text | Google Scholar

25. Asmundson GJG, Noel M, Petter M, Parkerson HA. Pediatric fear-avoidance model of chronic pain: foundation, application and future directions. Pain Res Manag. (2009) 17:397–405. doi: 10.1155/2012/908061

PubMed Abstract | CrossRef Full Text | Google Scholar

26. Vlaeyen JW, Linton SJ. Fear-avoidance and its consequences in chronic musculoskeletal pain: a state of the art. Pain. (2000) 85:317–32. doi: 10.1016/S0304-3959(99)00242-0

PubMed Abstract | CrossRef Full Text | Google Scholar

27. Wilson AC, Lewandowski AS, Palermo TM. Fear-avoidance beliefs and parental responses to pain in adolescents with chronic pain. Pain Res Manag. (2011) 16:178–82. doi: 10.1155/2011/296298

PubMed Abstract | CrossRef Full Text | Google Scholar

28. Silverberg ND, Panenka WJ, Iverson GL. Fear avoidance and clinical outcomes from mild traumatic brain injury. J Neurotrauma. (2018) 35:1864–73. doi: 10.1089/neu.2018.5662

PubMed Abstract | CrossRef Full Text | Google Scholar

29. Wijenberg MLM, Stapert SZ, Verbunt JA, Ponsford JL, Van Heugten CM. Does the fear avoidance model explain persistent symptoms after traumatic brain injury? Brain Injury. (2017) 31:1597–604. doi: 10.1080/02699052.2017.1366551

PubMed Abstract | CrossRef Full Text | Google Scholar

30. Bailey KM, Carleton RN, Vlaeyen JWS, Asmundson GJG. Treatments addressing pain-related fear and anxiety in patients with chronic musculoskeletal pain: a preliminary review. Cogn Behav Ther. (2010) 39:46–63. doi: 10.1080/16506070902980711

PubMed Abstract | CrossRef Full Text | Google Scholar

31. Harris PA, Taylor R, Minor BL, Elliott V, Fernandez M, O'Neal L, et al. The REDCap consortium: building an international community of software platform partners. J Biomed Inf. (2019) 95:103208. doi: 10.1016/j.jbi.2019.103208

PubMed Abstract | CrossRef Full Text | Google Scholar

32. McCrory P, Meeuwisse W, Dvorak J, Aubry M, Bailes J, Broglio S, et al. Consensus statement on concussion in sport-the 5 th international conference on concussion in sport held in Berlin, October 2016. Br J Sports Med. (2017) 51:838–47. doi: 10.1136/bjsports-2017-097699

CrossRef Full Text | Google Scholar

33. Moran LM, Taylor HG, Rusin J, Bangert B, Dietrich A, Nuss KE, et al. Do postconcussive symptoms discriminate injury severity in pediatric mild traumatic brain injury? J Head Trauma Rehabil. (2011) 26:348–54. doi: 10.1097/HTR.0b013e3181f8d32e

PubMed Abstract | CrossRef Full Text | Google Scholar

34. Allor KM, Pivarnik JM. Use of heart rate cutpoints to assess physical activity intensity in sixth-grade girls. Pediatr Exerc Sci. (2000) 12:284–92. doi: 10.1123/pes.12.3.284

CrossRef Full Text | Google Scholar

35. Simons-Morton BG, Parcel GS, O'Hara NM, Blair SN, Pate RR. Health-related physical fitness in childhood: status and recommendations. Annu Rev Public Health. (1988) 9:403–25. doi: 10.1146/annurev.pu.09.050188.002155

PubMed Abstract | CrossRef Full Text | Google Scholar

36. Piercy KL, Troiano RP, Ballard RM, Carlson SA, Fulton JE, Galuska DA, et al. The physical activity guidelines for Americans. JAMA. (2018) 320:2020–8. doi: 10.1001/jama.2018.14854

CrossRef Full Text | Google Scholar

37. Common Data Elements for Traumatic Brain Injury. National Institutes of Health. Available online at: https://www.commondataelements.ninds.nih.gov/Traumatic%20Brain%20Injury#pane-162 (accessed March 22, 2021).

Google Scholar

38. Yeates KO, Luria J, Bartkowski H, Rusin J, Martin L, Bigler ED. Postconcussive symptoms in children with mild closed head injuries. J Head Trauma Rehabil. (1999) 14:337–50. doi: 10.1097/00001199-199908000-00003

PubMed Abstract | CrossRef Full Text | Google Scholar

39. Ayr LK, Yeates KO, Taylor HG, Browne M. Dimensions of postconcussive symptoms in children with mild traumatic brain injuries. J Int Neuropsychol Soc. (2009) 15:19–30. doi: 10.1017/S1355617708090188

PubMed Abstract | CrossRef Full Text | Google Scholar

40. Taylor HG, Dietrich A, Nuss K, Wright M, Rusin J, Bangert B, et al. Post-concussive symptoms in children with mild traumatic brain injury. Neuropsychology. (2010) 24:148–59. doi: 10.1037/a0018112

CrossRef Full Text | Google Scholar

41. Fay TB, Yeates KO, Taylor HG, Bangert B, Dietrich A, Nuss KE, et al. Cognitive reserve as a moderator of postconcussive symptoms in children with complicated and uncomplicated mild traumatic brain injury. J Int Neuropsychol Soc. (2010) 16:94–105. doi: 10.1017/S1355617709991007

PubMed Abstract | CrossRef Full Text | Google Scholar

42. Hajek Ca, Yeates KO, Taylor HG, Bangert B, Dietrich A, Nuss KE, et al. Agreement between parents and children on ratings of post-concussive symptoms following mild traumatic brain injury. Child Neuropsychol. (2011) 17:17–33. doi: 10.1080/09297049.2010.495058

PubMed Abstract | CrossRef Full Text | Google Scholar

43. Varni JW, Seid M, Kurtin PS. PedsQL 4.0: reliability and validity of the Pediatric Quality of Life Inventory version 4.0 generic core scales in healthy and patient populations. Med Care. (2001) 39:800–12. doi: 10.1097/00005650-200108000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

44. Simons LE, Sieberg CB, Carpino E, Logan D, Berde C. The Fear of Pain Questionnaire (FOPQ): assessment of pain-related fear among children and adolescents with chronic pain. J Pain. (2011) 12:677–86. doi: 10.1016/j.jpain.2010.12.008

PubMed Abstract | CrossRef Full Text | Google Scholar

45. Turk DC, Wilson HD. Fear of pain as a prognostic factor in chronic pain: conceptual models, assessment, and treatment implications. Curr Pain Headache Rep. (2010) 14:88–95. doi: 10.1007/s11916-010-0094-x

PubMed Abstract | CrossRef Full Text | Google Scholar

46. Kroenke K, Spitzer RL, Williams JB. The PHQ-9: validity of a brief depression severity measure. J Gen Intern Med. (2001) 16:606–13. doi: 10.1046/j.1525-1497.2001.016009606.x

PubMed Abstract | CrossRef Full Text | Google Scholar

47. Richardson LP, McCauley E, Grossman DC, McCarty Ca, Richards J, Russo JE, et al. Evaluation of the Patient Health Questionnaire-9 Item for detecting major depression among adolescents. Pediatrics. (2010) 126:1117–23. doi: 10.1542/peds.2010-0852

PubMed Abstract | CrossRef Full Text | Google Scholar

48. Fann JR, Bombardier CH, Dikmen S, Esselman P, Warms CA, Pelzer E, et al. Validity of the Patient Health Questionnaire-9 in assessing depression following traumatic brain injury. J Head Trauma Rehabil. (2005) 20:501–11. doi: 10.1097/00001199-200511000-00003

PubMed Abstract | CrossRef Full Text | Google Scholar

49. Löwe B, Unützer J, Callahan CM, Perkins AJ, Kroenke K. Monitoring depression treatment outcomes with the patient health questionnaire-9. Med Care. (2004) 42:1194–201. doi: 10.1097/00005650-200412000-00006

PubMed Abstract | CrossRef Full Text | Google Scholar

50. Maizels M, Smitherman TA, Penzien DB. A review of screening tools for psychiatric comorbidity in headache patients. Headache. (2006) 46:98–109. doi: 10.1111/j.1526-4610.2006.00561.x

PubMed Abstract | CrossRef Full Text | Google Scholar

51. Spitzer RL, Kroenke K, Williams JBW, Löwe B. A brief measure for assessing generalized anxiety disorder. Arch Intern Med. (2006) 166:1092. doi: 10.1001/archinte.166.10.1092

PubMed Abstract | CrossRef Full Text | Google Scholar

52. Löwe B, Decker O, Müller S, Brähler E, Schellberg D, Herzog W, et al. Validation and standardization of the Generalized Anxiety Disorder Screener (GAD-7) in the general population. Med Care. (2008) 46:266–74. doi: 10.1097/MLR.0b013e318160d093

PubMed Abstract | CrossRef Full Text | Google Scholar

53. Essner B, Noel M, Myrvik M, Palermo T. Examination of the factor structure of the Adolescent Sleep-Wake Scale (ASWS). Behav Sleep Med. (2015) 13:296–307. doi: 10.1080/15402002.2014.896253

PubMed Abstract | CrossRef Full Text | Google Scholar

54. Braun V, Clarke V. Thematic analysis. In Cooper H, Camic PM, Long DL, Panter AT, Rindskopf D, Sher KJ, editors. APA Handbook of Research Methods in Psychology, Vol. 2: Research Designs: Quantitative, Qualitative, Neuropsychological, Biological (ORCID: 0000-0002-4444-6544). Washington, DC: American Psychological Association (2012). p. 57–71.

Google Scholar

55. Kuznetsova A, Brockhoff PB, Christensen RH. lmerTest package: tests in linear mixed effects models. J Stat Softw. (2017) 82:1–26. doi: 10.18637/jss.v082.i13

CrossRef Full Text | Google Scholar

56. R Core Team. A Language and Environment for Statitistical Computing. Vienna: R Foundation for Statistical Computing (2020). Available online at: https://www.R-project.org/ (accessed March 22, 2021).

Google Scholar

57. Leddy JJ, Baker JG, Kozlowski K, Bisson L, Willer B. Reliability of a graded exercise test for assessing recovery from concussion. Clin J Sport Med. (2011) 21:89–94. doi: 10.1097/JSM.0b013e3181fdc721

PubMed Abstract | CrossRef Full Text | Google Scholar

Appendix

TABLE A1
www.frontiersin.org

Table A1. Output from mixed effects regression modeling examining trajectory of concussive symptoms, mental health symptoms, sleep, health-related quality of life, and fear-avoidance during the Mobile Subthreshold Exercise Program (MSTEP) for concussion, Seattle, WA 2018–2019.

Keywords: brain concussion, child, fear-avoidance, pain, exercise, physical activity, traumatic brain injury, sport

Citation: Chrisman SPD, Mendoza JA, Zhou C, Palermo TM, Gogue-Garcia T, Janz KF and Rivara FP (2021) Pilot Study of Telehealth Delivered Rehabilitative Exercise for Youth With Concussion: The Mobile Subthreshold Exercise Program (MSTEP). Front. Pediatr. 9:645814. doi: 10.3389/fped.2021.645814

Received: 24 December 2020; Accepted: 08 March 2021;
Published: 28 May 2021.

Edited by:

Tzielan Lee, Stanford University, United States

Reviewed by:

John Leddy, University at Buffalo, United States
Kelly McNally, Nationwide Children's Hospital, United States

Copyright © 2021 Chrisman, Mendoza, Zhou, Palermo, Gogue-Garcia, Janz and Rivara. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Sara P. D. Chrisman, sara.chrisman@seattlechildrens.org

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