Teleassessments for Enrollment of Adults With Physical or Mobility Disability in a Home-Based Exercise Trial in Response to COVID-19: Usability Study

Jereme Wilroy, Byron Lai, Madison Currie, Hui-Ju Young, Mohanraj Thirumalai, Tapan Mehta, John Giannone, James Rimmer, Jereme Wilroy, Byron Lai, Madison Currie, Hui-Ju Young, Mohanraj Thirumalai, Tapan Mehta, John Giannone, James Rimmer

Abstract

Background: The Scale-Up Project Evaluating Responsiveness to Home Exercise And Lifestyle Tele-Health (SUPER-HEALTH) initiative is a large randomized controlled study that aims to overcome logistical barriers to exercise via telehealth for people with physical disabilities. However, at the start of the COVID-19 pandemic, enrollment was halted due to limited operations at the testing site, which included no onsite visits that involved participant data collection. In response to the limited operations, a modified data collection protocol was developed for virtual enrollment of study participants.

Objective: This paper presents feasibility data on using teleassessments to enroll people with mobility impairment into a home-based exercise trial.

Methods: The modified protocol replaced onsite enrollment and data collection visits with teleassessments using a computer tablet and testing equipment that was shipped to the participants' home address prior to the synchronous teleassessments conducted by an exercise physiologist through Zoom. The participants were mailed a teleassessment toolkit that included a digital blood pressure cuff, spirometer, hand dynamometer, mini disc cone, and measuring tape (to complete standardized testing). The teleassessment measures included resting blood pressure and heart rate, forced vital capacity, grip strength, Five Times Sit to Stand, and Timed Up and Go. Feasibility metrics included technological effectiveness, efficiency, and safety. The technological effectiveness of the telehealth assessment was determined by the percentage of sessions completed without technical issues with ≥90% criteria set a priori. Efficiency was measured by a session duration of ≤2 hours. Safety was measured by the number of adverse events related to the teleassessments reported.

Results: Data from 36 participants were included in this feasibility study, and 34 (94%) participants completed all teleassessments without technical issues. For efficiency, the teleassessment sessions were completed in a mean time of 65 minutes and a maximum session length of 110 minutes. There were no adverse events reported to indicate concerns with the safety of teleassessments.

Conclusions: The modified teleassessment protocol, in response to COVID-19 restrictions, may be a feasible process for enrolling adults with mobility impairment into a home exercise trial who otherwise would have not been able to participate.

Trial registration: ClinicalTrials.gov NCT03024320; https://ichgcp.net/clinical-trials-registry/NCT03024320.

Keywords: COVID-19; assessments; disability; exercise; feasibility; home exercise; mHealth; mobility impairment; participation; physical disabilities; teleassessment; telehealth.

Conflict of interest statement

Conflicts of Interest: None declared.

©Jereme Wilroy, Byron Lai, Madison Currie, Hui-Ju Young, Mohanraj Thirumalai, Tapan Mehta, John Giannone, James Rimmer. Originally published in JMIR Formative Research (https://formative.jmir.org), 18.11.2021.

Figures

Figure 1
Figure 1
Teleassessment equipment, which included a digital blood pressure cuff, a hand dynamometer, a spirometer, a mini disc cone, and a 3-meter measuring tape.
Figure 2
Figure 2
An example of a person completing grip strength assessment with teleassessor on videoconference.

References

    1. Fox MH, Witten MH, Lullo C. Reducing Obesity Among People With Disabilities. J Disabil Policy Stud. 2014 Dec;25(3):175–185. doi: 10.1177/1044207313494236.
    1. Froehlich-Grobe K, Lee J, Washburn RA. Disparities in obesity and related conditions among Americans with disabilities. Am J Prev Med. 2013 Jul;45(1):83–90. doi: 10.1016/j.amepre.2013.02.021.S0749-3797(13)00227-4
    1. Rimmer JH, Wang E, Yamaki K, Davis B. Documenting Disparities in Obesity and Disability. FOCUS Technical Brief. 2010. [2021-10-25].
    1. Carroll DD, Courtney-Long EA, Stevens AC, Sloan ML, Lullo C, Visser SN, Fox MH, Armour BS, Campbell VA, Brown DR, Dorn JM. Vital signs: disability and physical activity--United States, 2009-2012. MMWR Morb Mortal Wkly Rep. 2014 May 09;63(18):407–13. mm6318a5
    1. Rimmer JH, Chen M, Hsieh K. A conceptual model for identifying, preventing, and managing secondary conditions in people with disabilities. Phys Ther. 2011 Dec;91(12):1728–39. doi: 10.2522/ptj.20100410.ptj.20100410
    1. Martin GKA, Ma JK, Latimer-Cheung AE, Rimmer JH. A systematic review of review articles addressing factors related to physical activity participation among children and adults with physical disabilities. Health Psychol Rev. 2016 Dec;10(4):478–494. doi: 10.1080/17437199.2016.1198240.
    1. Lai B, Wilroy J, Young H, Howell J, Rimmer JH, Mehta T, Thirumalai M. A mobile app to promote adapted exercise and social networking for people with physical disabilities: usability study. JMIR Form Res. 2019 Mar 19;3(1):e11689. doi: 10.2196/11689. v3i1e11689
    1. Rimmer JH, Mehta T, Wilroy J, Lai B, Young H, Kim Y, Pekmezi D, Thirumalai M. Rationale and design of a Scale-Up Project Evaluating Responsiveness to Home Exercise And Lifestyle Tele-Health (SUPER-HEALTH) in people with physical/mobility disabilities: a type 1 hybrid design effectiveness trial. BMJ Open. 2019 Mar 30;9(3):e023538. doi: 10.1136/bmjopen-2018-023538. bmjopen-2018-023538
    1. Lai B, Chiu C, Pounds E, Tracy T, Mehta T, Young H, Riser E, Rimmer J. COVID-19 modifications for remote teleassessment and teletraining of a complementary alternative medicine intervention for people with multiple sclerosis: protocol for a randomized controlled trial. JMIR Res Protoc. 2020 Jul 03;9(7):e18415. doi: 10.2196/18415. v9i7e18415
    1. Rubin J, Chisnel D. Handbook of Usability Testing: How to Plan, Design, and Conduct Effective Tests. Indianapolis, IN: John Wiley & Sons; 2008.
    1. Billingham SAM, Whitehead AL, Julious SA. An audit of sample sizes for pilot and feasibility trials being undertaken in the United Kingdom registered in the United Kingdom Clinical Research Network database. BMC Med Res Methodol. 2013;13:104. doi: 10.1186/1471-2288-13-104. 1471-2288-13-104
    1. Godin Leisure-Time Exercise Questionnaire. Medicine and Science in Sports and Exercise. 1997;29(Supplement):36–38. doi: 10.1097/00005768-199706001-00009.
    1. Motl RW, Snook EM, McAuley E, Scott JA, Douglass ML. Correlates of physical activity among individuals with multiple sclerosis. Ann Behav Med. 2006 Oct;32(2):154–61. doi: 10.1207/s15324796abm3202_13.
    1. Vasudevan Vijay, Rimmer James H, Kviz Frederick. Development of the barriers to physical activity questionnaire for people with mobility impairments. Disabil Health J. 2015 Oct;8(4):547–56. doi: 10.1016/j.dhjo.2015.04.007. S1936-6574(15)00055-2
    1. Wójcicki Thomas R, White SM, McAuley E. Assessing outcome expectations in older adults: the multidimensional outcome expectations for exercise scale. J Gerontol B Psychol Sci Soc Sci. 2009 Jan 29;64(1):33–40. doi: 10.1093/geronb/gbn032. gbn032
    1. Chiu C, Motl RW, Ditchman N. Validation of the social provisions scale in people with multiple sclerosis. Rehabil Psychol. 2016 Aug;61(3):297–307. doi: 10.1037/rep0000089. 2016-18819-001
    1. Cella D, Choi SW, Condon DM, Schalet B, Hays RD, Rothrock NE, Yount S, Cook KF, Gershon RC, Amtmann D, DeWalt DA, Pilkonis PA, Stone AA, Weinfurt K, Reeve BB. PROMIS adult health profiles: efficient short-form measures of seven health domains. Value Health. 2019 May;22(5):537–544. doi: 10.1016/j.jval.2019.02.004.S1098-3015(19)30118-4
    1. Norman CD, Skinner HA. eHEALS: the eHealth literacy scale. J Med Internet Res. 2006 Nov;8(4):e27. doi: 10.2196/jmir.8.4.e27. v8i4e27
    1. Thabane L, Ma J, Chu R, Cheng J, Ismaila A, Rios LP, Robson R, Thabane M, Giangregorio L, Goldsmith CH. A tutorial on pilot studies: the what, why and how. BMC Med Res Methodol. 2010:1–10. doi: 10.1186/1471-2288-10-1. 1471-2288-10-1
    1. Wilroy JD, Martin Ginis KA, Rimmer JH, Wen H, Howell J, Lai B. An E-Learning Program for Increasing Physical Activity Associated Behaviors Among People with Spinal Cord Injury: Usability Study. JMIR Form Res. 2019 Aug 21;3(3):e14788. doi: 10.2196/14788. v3i3e14788
    1. Huetteman Emmarie. Covid Vaccine Hesitancy Drops Among All Americans, New Survey Shows. Kaiser Health News. 2021. Mar 30, [2021-10-25].
    1. Madhavan S, Sivaramakrishnan A, Bowden MG, Chumbler NR, Field-Fote EC, Kesar TM. Commentary: Remote assessments of gait and balance - Implications for research during and beyond Covid-19. Top Stroke Rehabil. 2021 Feb 18;:1–8. doi: 10.1080/10749357.2021.1886641.
    1. Tuckson RV, Edmunds M, Hodgkins ML. Telehealth. N Engl J Med. 2017 Oct 19;377(16):1585–1592. doi: 10.1056/NEJMsr1503323.
    1. Lai B, Cederberg K, Vanderbom KA, Bickel CS, Rimmer JH, Motl RW. Characteristics of adults with neurologic disability recruited for exercise trials: a secondary analysis. Adapt Phys Activ Q. 2018 Oct 01;35(4):476–497. doi: 10.1123/apaq.2017-0109.
    1. Lai BW, Rimmer JH, Yates A, Jeter A, Young H, Thirumalai M, Mehta T, Wilroy J. Critical factors influencing the decision to enroll in a physical activity intervention among a predominant group of adults with spinal cord injury: a grounded theory study. Spinal Cord. 2021 Jan;59(1):17–25. doi: 10.1038/s41393-020-0530-7. 10.1038/s41393-020-0530-7

Source: PubMed

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