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ORIGINAL RESEARCH|Articles in Press

Compliance With In-Home Self-Managed Rehabilitation Post-Stroke is Largely Independent of Scheduling Approach

Published:November 06, 2022DOI:https://doi.org/10.1016/j.apmr.2022.10.007

      Abstract

      Objective

      To investigate how participants self-schedule their engagement with domestic rehabilitation gaming platform, and how their scheduling behavior in turn influence overall compliance.

      Design

      Cohort of individuals randomized to receive in-home rehabilitation gaming during a multi-site randomized controlled trial.

      Setting

      In-home self-managed rehabilitation.

      Participants

      Eighty community-dwelling participants who were >6 months post-stroke and had mild to moderate upper extremity impairment (N=80).

      Interventions

      Participants were prescribed 15 hours of independent in-home self-scheduled game play for upper extremity mobility over 3 weeks.

      Main Outcome Measures

      Total number of hours of active game play was objectively measured by the rehabilitation gaming system. Cluster analysis identified scheduling patterns from the following scheduling characteristics: total number of sessions, average session length, and consistency of play schedule.

      Results

      Four distinct scheduling profiles were revealed, 3 of which were associated with complete or near-complete compliance, while a fourth (inconsistent schedule of short, infrequent sessions) was associated with very poor compliance. Poor compliance could be predicted within the first 7 days of the program with 78% accuracy based on the same play pattern metrics used to identify player profiles.

      Conclusions

      Our findings support client autonomy in selecting the home practice schedule that works best for them, as compliance can successfully be achieved through a variety of different scheduling patterns. The objective measurements of compliance provided through rehabilitation gaming can assist therapists to identify individuals early on who exhibit scheduling behavior that is predictive of poor compliance.

      Keywords

      List of abbreviations:

      ANCOVA (analysis of covariance), VIGoROUS (video game rehabilitation for outpatient stroke)
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      References

        • Martinez-Gomez D
        • Bandinelli S
        • Del-Panta V
        • Talluri E
        • Guralnik JM
        • Ferrucci L.
        Three-year changes in physical activity and subsequent loss of ability to walk 400 m in older adults.
        Am J Phys Med Rehabil. 2018; 97: 212-215
        • Heath GW
        • Fentem PH.
        8 Physical activity among persons with disabilities: a public health perspective.
        Exerc Sport Sci Rev. 1997; 25: 195-234
        • Rimmer JG
        • Riley B
        • Wang E
        • Rauworth A
        • Jurkowski J.
        Physical activity participation among persons with disabilities.
        Am J Prev Med. 2004; 26: 419-425
        • Gebruers N
        • Vanroy C
        • Truijen S
        • Engelborghs S
        • De Deyn PP.
        Monitoring of physical activity after stroke: a systematic review of accelerometry-based measures.
        Arch Phys Med Rehabil. 2010; 91: 288-297
      1. World Health Organization. Global recommendations on physical activity for health. World Health Organization; 2010.

        • Piercy KL
        • Troiano RP
        • Ballard RM
        • et al.
        The physical activity guidelines for Americans.
        JAMA. 2018; 320: 2020
        • Jurkiewicz MT
        • Marzolini S
        • Oh P.
        Compliance to a home-based exercise program for individuals after stroke.
        Top Stroke Rehabil. 2011; 18: 277-284
        • Saunders DH
        • Greig CA
        • Mead GE.
        Physical activity and exercise after stroke.
        Stroke. 2014; 45: 3742-3747
        • Gunnes M
        • Indredavik B
        • Langhammer B
        • et al.
        Associations between compliance to the physical activity and exercise program applied in the LAST study and functional recovery after stroke.
        Arch Phys Med Rehabil. 2019; 100: 2251-2259
      2. US Department of Health and Human Services. Physical activity guidelines for Americans. 2nd ed. 2018. Available at: https://health.gov/paguidelines/second-edition. Accessed July 25, 2022.

        • Centers for Disease Control and Prevention (CDC)
        Prevalence of stroke–United States, 2006-2010.
        Morb Mortal Wkly Rep. 2012; 61 (Available at) (Accessed January 10, 2021): 379-382
        • Rimmer JH.
        Barriers associated with exercise and community access for individuals with stroke.
        J Rehabil Res Dev. 2008; 45: 315-322
        • Hong SM
        • Olson-Kellogg BJ
        • North SE
        • Davis JL
        • Staker JL.
        Telehealth physical therapy as an innovative clinical education model with positive patient impact: a case report in the context of the COVID-19 pandemic.
        J Phys Ther Educ. 2020; 34: 275-281
        • Feldman DE.
        A self-administered graded repetitive arm supplementary program (GRASP) improves arm function during inpatient stroke rehabilitation: a multi-site randomized controlled trial.
        Yearbook Sports Med. 2010; 2010: 254
        • Mehta S
        • Ahrens J
        • Abu-Jurji Z
        • et al.
        Feasibility of a virtual service delivery model to support physical activity engagement during the COVID-19 pandemic for those with spinal cord injury.
        J Spinal Cord Med. 2021; 44: S256-S265
        • Alhammad N
        • Al-Dossari H.
        Recognizing physical activities for spinal cord injury rehabilitation using wearable sensors.
        Sensors. 2021; 21: 5479
        • Yang Z
        • Rafiei MH
        • Hall A
        • et al.
        A novel methodology for extracting and evaluating therapeutic movements in game-based motion capture rehabilitation systems.
        J Med Syst. 2018; 42: 255
        • Seo NJ
        • Crocher V
        • Spaho E
        • et al.
        Capturing upper limb gross motor categories using the Kinect® sensor.
        Am J Occup Ther. 2019; 73 (7304205090p1-p10)
        • Laver K
        • Lange B
        • George S
        • Deutsch J
        • Saposnik G
        • Crotty M.
        Virtual reality for stroke rehabilitation.
        Cochrane Database Syst Rev. 2017; 11CD008349
        • Karamians R
        • Proffitt R
        • Kline D
        • Gauthier LV.
        Effectiveness of virtual reality-and gaming-based interventions for upper extremity rehabilitation poststroke: a meta-analysis.
        Arch Phys Med Rehabil. 2020; 101: 885-896
        • Cramer SC
        • Dodakien L
        • Le V
        • et al.
        Efficacy of home-based telerehabilitation vs in-clinic therapy for adults after stroke.
        JAMA Neurol. 2019; 76: 1079-1087
        • Donoso Brown EV
        • Nolfi D
        • Wallace SE
        • Eskander J
        • Hoffman JM
        Home program practices for supporting and measuring compliance in post-stroke rehabilitation: a scoping review.
        Top Stroke Rehabil. 2019; 27: 377-400
        • Duncan PW
        • Horner RD
        • Reker DM
        • et al.
        Compliance to postacute rehabilitation guidelines is associated with functional recovery in stroke.
        Stroke. 2002; 33: 167-178
        • Conroy DE
        • Lagoa CM
        • Hekler EB
        • Rivera DE.
        Engineering person-specific behavioral interventions to promote physical activity.
        Exerc Sport Sci Rev. 2020; 48: 170
        • Jakicic JM
        • Winters C
        • Lang W
        • Wing RR.
        Effects of intermittent exercise and use of home exercise equipment on compliance, weight loss, and fitness in overweight women.
        JAMA. 1999; 282: 1554
        • Kelders SM
        • Bohlmeijer ET
        • Van Gemert-Pijnen JE.
        Participants, usage, and use patterns of a Web-based intervention for the prevention of depression within a randomized controlled trial.
        J Med Internet Res. 2013; 15: e172
        • Hekler EB
        • Rivera DE
        • Martin CA
        • et al.
        Tutorial for using control systems engineering to optimize adaptive mobile health interventions.
        J Med Internet Res. 2018; 20: e8622
        • Prahm C
        • Vujaklija I
        • Kayali F
        • Purgathofer P
        • Aszmann OC.
        Game-based rehabilitation for myoelectric prosthesis control.
        JMIR Serious Games. 2017; 5: e3
        • Gauthier LV
        • Kane C
        • Borstad A
        • et al.
        Video game rehabilitation for outpatient stroke (VIGoROUS): protocol for a multi-center comparative effectiveness trial of in-home gamified constraint-induced movement therapy for rehabilitation of chronic upper extremity hemiparesis.
        BMC Neurol. 2017; 17: 109
      3. Maung D, Crawfis R, Gauthier LV, et al. Development of recovery rapids—a game for cost effective stroke therapy. Foundation of Digital Games, April 2014.

        • Shannon CE
        • Weaver W.
        The mathematical theory of communication.
        University of Illinois Press, Urbana1949
        • Mackay DJC.
        Information theory, inference, and learning algorithms.
        Cambridge University Press, Cambridge2003
        • Lee PN
        • Fry JS
        • Thornton AJ.
        Estimating the decline in excess risk of cerebrovascular disease following quitting smoking—a systematic review based on the negative exponential model.
        Regul Toxicol Pharmacol. 2014; 68: 85-95
        • Bicalho LF
        • Baffa A
        • Feijó B.
        A game analytics model to identify scheduling profiles in Singleplayer games.
        in: 18th Brazilian Symposium on Computer Games and Digital Entertainment (SBGames), Rio de Janeiro, Brazil2019: 11-20
        • Shahapure KR
        • Nicholas C.
        Cluster quality analysis using Silhouette score.
        in: 2020 IEEE 7th International Conference on Data Science and Advanced Analytics (DSAA). October 2020
        • Elor A
        • Kurniawan S
        • Teodorescu M.
        Towards an immersive virtual reality game for smarter post-stroke rehabilitation.
        in: 2018 IEEE International Conference on Smart Computing (SMARTCOMP). June 2018
        • Borghese NA
        • Essenziale J
        • Pezzera M
        • et al.
        Design and development of a web-based platform for comprehensive autonomous home rehabilitation management in multiple sclerosis.
        Converging Clinical and Engineering Research on Neurorehabilitation III, October 2018: 400-404
        • Ramos Muñoz EDJ
        • Swanson VA
        • Johnson C
        • et al.
        Using large-scale sensor data to test factors predictive of perseverance in home movement rehabilitation: optimal challenge and steady engagement.
        Front Neurol. 2022; 13896298
        • Motl RW
        • Hubbard EA
        • Bollaert RE
        • et al.
        Randomized controlled trial of an e-learning designed behavioral intervention for increasing physical activity behavior in multiple sclerosis.
        Mult Scler J Exp Transl Clin. 2017; 3205521731773488
        • Dlugonski D
        • Motl RW
        • Mohr DC
        • Sandroff BM.
        Internet-delivered behavioral intervention to increase physical activity in persons with multiple sclerosis: sustainability and secondary outcomes.
        Psychol Health Med. 2012; 17: 636-651
        • Richardson CR
        • Buis LR
        • Janney AW
        • et al.
        An online community improves compliance in an Internet-mediated walking program. Part 1: results of a randomized controlled trial.
        J Med Internet Res. 2010; 12: e71
        • Chapman J
        • Campbell M
        • Wilson C.
        Insights for exercise compliance from a minimal planning intervention to increase physical activity.
        Health Educ Behav. 2015; 42: 730-735
        • Berton A
        • Longo UG
        • Candela V
        • et al.
        Virtual reality, augmented reality, gamification, and telerehabilitation: psychological impact on orthopedic patients’ rehabilitation.
        J Clin Med. 2020; 9: 2567
        • Adlakha S
        • Chhabra D
        • Shukla P.
        Effectiveness of gamification for the rehabilitation of neurodegenerative disorders.
        Chaos Solitons Fractals. 2020; 140
        • Maier M
        • Rubio Ballester B
        • Duff A
        • Duarte Oller E
        • Verschure PFMJ
        Effect of specific over nonspecific VR-based rehabilitation on poststroke motor recovery: a systematic meta-analysis.
        Neurorehabil Neural Repair. 2019; 33: 11229