Utilizing Gaming Mechanics to Optimize Telerehabilitation Adherence in Persons With Stroke
2 other identifiers
interventional
33
1 country
1
Brief Summary
This trial studies the impact of motivational strategies designed by the gaming industry on adherence to a home tele-rehabilitation program designed to improve hand function in persons with stroke. A growing literature suggests that the extended practice of challenging hand tasks can produce measurable changes in hand function in persons with stroke. Current health care delivery systems do not support this volume of directly supervised rehabilitation, making it necessary for patients to perform a substantial amount of activity at home, unsupervised. Unfortunately, adherence to unsupervised home exercise regimens is quite poor in this population. The investigator's goal is to assess the impact of several well-established game design strategies: 1) Scaffolded increases in game difficulty 2) In-game rewards 3) Quests with enhanced narrative. The investigator's will utilize these enhancements to study their impact on motivation to perform a tele-rehabilitation- based home exercise program, adherence to the program and changes in hand function. The proposed study will utilize a system of novel rehabilitation technologies designed to facilitate home exercise performance. Subjects will perform 3 simulated rehabilitation activities supported by a passive exoskeleton, an infrared camera and software that will allow subjects to exercise at home. The investigator's will investigate: 1) Differences in measures of motivation elicited by motivationally enhanced simulations and un-enhanced control versions.2) The impact of motivational enhancements on actual adherence to a tele-rehabilitation program in persons with stroke and 3) The impact of motivational enhancement on improvements in hand function achieved by these subjects. This proposal will address a critical gap in modern rehabilitation - adherence to autonomous rehabilitation programs. Patient participation in unsupervised rehabilitation is one of the assumptions underpinning our health care system. This said, no data collected to date supports that adherence is acceptable. The technology and methodology in this proposal are an important step towards leveraging extensive research and development done by the computer gaming industry into improved rehabilitation practice.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P25-P50 for not_applicable stroke
Started Sep 2019
Longer than P75 for not_applicable stroke
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
Click on a node to explore related trials.
Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
April 26, 2019
CompletedFirst Posted
Study publicly available on registry
June 14, 2019
CompletedStudy Start
First participant enrolled
September 8, 2019
CompletedPrimary Completion
Last participant's last visit for primary outcome
July 1, 2023
CompletedStudy Completion
Last participant's last visit for all outcomes
July 1, 2023
CompletedResults Posted
Study results publicly available
September 19, 2024
CompletedSeptember 19, 2024
September 1, 2024
3.8 years
April 26, 2019
July 26, 2024
September 10, 2024
Conditions
Keywords
Outcome Measures
Primary Outcomes (3)
Total Intervention Time
Total intervention time performed by patient during study period
Day one through day ninety of intervention period
Upper Extremity Fugl Meyer Assessment
Difference between post test and pretest Upper Extremity Fugl Meyer Assessment Scores. Scores between 0 and 66. The Upper Extremity Fugl-Meyer Assessment is a clinical scale that is a composite measure of 33 performance based items, scored 0,1 or 2. Total score reflects the sum of the 33 individual item scores. Higher scores reflect better performance.
12 weeks
Intrinsic Motivation Inventory
Difference between score measured three months after baseline and the score measured at baseline on the Intrinsic Motivation Inventory. Scores range = 0-84. Higher score equals higher levels of intrinsic motivation.
12 weeks
Secondary Outcomes (3)
Average Intervention Time Per Intervention Day
Day one through day ninety of intervention period
Action Research Arm Test
12 weeks.
Box and Blocks Test
12 weeks
Other Outcomes (4)
Stroke Impact Scale - Hand Subscale
12 weeks.
Stroke Impact Scale - Activities of Daily Living Subscale
12 weeks.
Total Training Sessions
12 weeks
- +1 more other outcomes
Study Arms (2)
Home Telerehabilitation_Motivation Enhanced HTme
EXPERIMENTALThe Home Telerehabilitation Motivation Enhanced (HTme) group will use the NJIT-HoVRS system to play a series of three games to train movement of their shoulder, elbow, wrist and fingers. The study team will set up the apparatus in their home at the initial visit and train them to use the system. After this, subjects will practice in their homes with on-line or in-person support as needed (once a week in person for the first month, and then an average of two times per month in person and two times per month on line). Subjects will be instructed to perform three of the simulations assigned to them as much as possible, but at least twenty minutes, daily for twelve weeks. The HTme group will use three simulations that will provide the user with eight to twelve levels of gradually increasing difficulty and complexity. A screen announces each level change and the graphics for each new level change substantially. Scoring opportunities increase at each new level.
Home Telerehabilitation_Unenhanced (HTu)
ACTIVE COMPARATORThe Home Telerehabilitation Motivation Enhanced (HTu) group will use the NJIT-HoVRS system to play a series of three games to train movement of their shoulder, elbow, wrist and fingers. The study team will set up the apparatus in their home at the initial visit and train them to use the system. After this, subjects will practice in their homes with on-line or in-person support as needed (once a week in person for the first month, and then an average of two times per month in person and two times per month on line). Subjects will be instructed to perform three of the simulations assigned to them as much as possible, but at least twenty minutes, daily for twelve weeks. The HTu group will use three simulations. Difficulty will be increased utilizing an adaptive control algorithm that increases difficulty based on performance. Difficulty changes are extremely incremental making them imperceptible for most subjects. Graphics and scoring do not change as difficulty level changes.
Interventions
The Home Virtual Rehabilitation System (HoVRS) integrates a Leap Motion controller, a passive arm support and a suite of custom designed hand rehabilitation simulations. The Leap Motion provides camera based measurement of finger joint positions, allowing for integrated virtual arm and finger training. If the patient's arm is severely impaired, a forearm orthosis that counter-balances gravity to provide graded support to the arm during activity is issued to the subject. In this study, we utilize 3 task-based simulations that train hand manipulation and arm transport. One simulation trains hand opening integrated with pronation and supination, a second trains wrist movement, by presenting targets that subjects navigate a plane over and around buildings to collect, a third simulation, trains shoulder and elbow disassociation in a horizontal plane integrated with hand opening.
Eligibility Criteria
You may qualify if:
- unilateral stroke
- score of 22 or greater on the Montreal Cognitive Assesment
- Score of 1 or better on extinction and inattention portion of NIH Stroke Scale
- Fugl-Meyer (FM) between 36-58/66 (
- Score of 1 or better on language portion of NIHSS
- intact cutaneous sensation (ability to detect \<4.17 Newton stimulation using Semmes-Weinstein nylon filaments)
You may not qualify if:
- Orthopedic issues that would limit the ability to perform regular upper extremity activity
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Rutgers The State University of New Jersey
Newark, New Jersey, 07107, United States
Related Publications (41)
McAuley E, Duncan T, Tammen VV. Psychometric properties of the Intrinsic Motivation Inventory in a competitive sport setting: a confirmatory factor analysis. Res Q Exerc Sport. 1989 Mar;60(1):48-58. doi: 10.1080/02701367.1989.10607413.
PMID: 2489825BACKGROUNDHibbard JH, Stockard J, Mahoney ER, Tusler M. Development of the Patient Activation Measure (PAM): conceptualizing and measuring activation in patients and consumers. Health Serv Res. 2004 Aug;39(4 Pt 1):1005-26. doi: 10.1111/j.1475-6773.2004.00269.x.
PMID: 15230939BACKGROUNDWinstein CJ, Wolf SL, Dromerick AW, Lane CJ, Nelsen MA, Lewthwaite R, Cen SY, Azen SP; Interdisciplinary Comprehensive Arm Rehabilitation Evaluation (ICARE) Investigative Team. Effect of a Task-Oriented Rehabilitation Program on Upper Extremity Recovery Following Motor Stroke: The ICARE Randomized Clinical Trial. JAMA. 2016 Feb 9;315(6):571-81. doi: 10.1001/jama.2016.0276.
PMID: 26864411BACKGROUNDKwakkel G. Impact of intensity of practice after stroke: issues for consideration. Disabil Rehabil. 2006 Jul 15-30;28(13-14):823-30. doi: 10.1080/09638280500534861.
PMID: 16777769BACKGROUNDYozbatiran N, Der-Yeghiaian L, Cramer SC. A standardized approach to performing the action research arm test. Neurorehabil Neural Repair. 2008 Jan-Feb;22(1):78-90. doi: 10.1177/1545968307305353. Epub 2007 Aug 17.
PMID: 17704352BACKGROUNDFluet GG, Patel J, Qiu Q, Yarossi M, Massood S, Adamovich SV, Tunik E, Merians AS. Motor skill changes and neurophysiologic adaptation to recovery-oriented virtual rehabilitation of hand function in a person with subacute stroke: a case study. Disabil Rehabil. 2017 Jul;39(15):1524-1531. doi: 10.1080/09638288.2016.1226421. Epub 2016 Sep 27.
PMID: 27669997BACKGROUNDMathiowetz V, Volland G, Kashman N, Weber K. Adult norms for the Box and Block Test of manual dexterity. Am J Occup Ther. 1985 Jun;39(6):386-91. doi: 10.5014/ajot.39.6.386.
PMID: 3160243BACKGROUNDOxford Grice K, Vogel KA, Le V, Mitchell A, Muniz S, Vollmer MA. Adult norms for a commercially available Nine Hole Peg Test for finger dexterity. Am J Occup Ther. 2003 Sep-Oct;57(5):570-3. doi: 10.5014/ajot.57.5.570.
PMID: 14527120BACKGROUNDJurkiewicz MT, Marzolini S, Oh P. Adherence to a home-based exercise program for individuals after stroke. Top Stroke Rehabil. 2011 May-Jun;18(3):277-84. doi: 10.1310/tsr1803-277.
PMID: 21642065BACKGROUNDMiller KJ, Adair BS, Pearce AJ, Said CM, Ozanne E, Morris MM. Effectiveness and feasibility of virtual reality and gaming system use at home by older adults for enabling physical activity to improve health-related domains: a systematic review. Age Ageing. 2014 Mar;43(2):188-95. doi: 10.1093/ageing/aft194. Epub 2013 Dec 17.
PMID: 24351549BACKGROUNDDuncan PW, Wallace D, Lai SM, Johnson D, Embretson S, Laster LJ. The stroke impact scale version 2.0. Evaluation of reliability, validity, and sensitivity to change. Stroke. 1999 Oct;30(10):2131-40. doi: 10.1161/01.str.30.10.2131.
PMID: 10512918BACKGROUNDRimmer JH, Wang E, Smith D. Barriers associated with exercise and community access for individuals with stroke. J Rehabil Res Dev. 2008;45(2):315-22. doi: 10.1682/jrrd.2007.02.0042.
PMID: 18566948BACKGROUNDStanden PJ, Threapleton K, Connell L, Richardson A, Brown DJ, Battersby S, Sutton CJ, Platts F. Patients' use of a home-based virtual reality system to provide rehabilitation of the upper limb following stroke. Phys Ther. 2015 Mar;95(3):350-9. doi: 10.2522/ptj.20130564. Epub 2014 Sep 11.
PMID: 25212521BACKGROUNDNijenhuis SM, Prange GB, Amirabdollahian F, Sale P, Infarinato F, Nasr N, Mountain G, Hermens HJ, Stienen AH, Buurke JH, Rietman JS. Feasibility study into self-administered training at home using an arm and hand device with motivational gaming environment in chronic stroke. J Neuroeng Rehabil. 2015 Oct 9;12:89. doi: 10.1186/s12984-015-0080-y.
PMID: 26452749BACKGROUNDWittmann F, Held JP, Lambercy O, Starkey ML, Curt A, Hover R, Gassert R, Luft AR, Gonzenbach RR. Self-directed arm therapy at home after stroke with a sensor-based virtual reality training system. J Neuroeng Rehabil. 2016 Aug 11;13(1):75. doi: 10.1186/s12984-016-0182-1.
PMID: 27515583BACKGROUNDPatel J, Qiu Q, Yarossi M, Merians A, Massood S, Tunik E, Adamovich S, Fluet G. Exploring the impact of visual and movement based priming on a motor intervention in the acute phase post-stroke in persons with severe hemiparesis of the upper extremity. Disabil Rehabil. 2017 Jul;39(15):1515-1523. doi: 10.1080/09638288.2016.1226419. Epub 2016 Sep 16.
PMID: 27636200BACKGROUNDTimmermans AA, Seelen HA, Willmann RD, Kingma H. Technology-assisted training of arm-hand skills in stroke: concepts on reacquisition of motor control and therapist guidelines for rehabilitation technology design. J Neuroeng Rehabil. 2009 Jan 20;6:1. doi: 10.1186/1743-0003-6-1.
PMID: 19154570BACKGROUNDAdamovich SV, Fluet GG, Mathai A, Qiu Q, Lewis J, Merians AS. Design of a complex virtual reality simulation to train finger motion for persons with hemiparesis: a proof of concept study. J Neuroeng Rehabil. 2009 Jul 17;6:28. doi: 10.1186/1743-0003-6-28.
PMID: 19615045BACKGROUNDFluet GG, Merians AS, Qiu Q, Lafond I, Saleh S, Ruano V, Delmonico AR, Adamovich SV. Robots integrated with virtual reality simulations for customized motor training in a person with upper extremity hemiparesis: a case study. J Neurol Phys Ther. 2012 Jun;36(2):79-86. doi: 10.1097/NPT.0b013e3182566f3f.
PMID: 22592063BACKGROUNDFluet GG, Merians AS, Qiu Q, Davidow A, Adamovich SV. Comparing integrated training of the hand and arm with isolated training of the same effectors in persons with stroke using haptically rendered virtual environments, a randomized clinical trial. J Neuroeng Rehabil. 2014 Aug 23;11:126. doi: 10.1186/1743-0003-11-126.
PMID: 25148846BACKGROUNDMerians AS, Fluet GG, Qiu Q, Saleh S, Lafond I, Davidow A, Adamovich SV. Robotically facilitated virtual rehabilitation of arm transport integrated with finger movement in persons with hemiparesis. J Neuroeng Rehabil. 2011 May 16;8:27. doi: 10.1186/1743-0003-8-27.
PMID: 21575185BACKGROUNDLang CE, Macdonald JR, Reisman DS, Boyd L, Jacobson Kimberley T, Schindler-Ivens SM, Hornby TG, Ross SA, Scheets PL. Observation of amounts of movement practice provided during stroke rehabilitation. Arch Phys Med Rehabil. 2009 Oct;90(10):1692-8. doi: 10.1016/j.apmr.2009.04.005.
PMID: 19801058BACKGROUNDLohse KR, Lang CE, Boyd LA. Is more better? Using metadata to explore dose-response relationships in stroke rehabilitation. Stroke. 2014 Jul;45(7):2053-8. doi: 10.1161/STROKEAHA.114.004695. Epub 2014 May 27.
PMID: 24867924BACKGROUNDMiller KK, Porter RE, DeBaun-Sprague E, Van Puymbroeck M, Schmid AA. Exercise after Stroke: Patient Adherence and Beliefs after Discharge from Rehabilitation. Top Stroke Rehabil. 2017 Mar;24(2):142-148. doi: 10.1080/10749357.2016.1200292. Epub 2016 Jun 23.
PMID: 27334684BACKGROUNDSimpson LA, Eng JJ, Tawashy AE. Exercise perceptions among people with stroke: Barriers and facilitators to participation. Int J Ther Rehabil. 2011 Sep 6;18(9):520-530. doi: 10.12968/ijtr.2011.18.9.520.
PMID: 23255881BACKGROUNDRand D, Givon N, Weingarden H, Nota A, Zeilig G. Eliciting upper extremity purposeful movements using video games: a comparison with traditional therapy for stroke rehabilitation. Neurorehabil Neural Repair. 2014 Oct;28(8):733-9. doi: 10.1177/1545968314521008. Epub 2014 Feb 10.
PMID: 24515927BACKGROUNDPeters DM, McPherson AK, Fletcher B, McClenaghan BA, Fritz SL. Counting repetitions: an observational study of video game play in people with chronic poststroke hemiparesis. J Neurol Phys Ther. 2013 Sep;37(3):105-11. doi: 10.1097/NPT.0b013e31829ee9bc.
PMID: 23872681BACKGROUNDda Silva Cameirao M, Bermudez I Badia S, Duarte E, Verschure PF. Virtual reality based rehabilitation speeds up functional recovery of the upper extremities after stroke: a randomized controlled pilot study in the acute phase of stroke using the rehabilitation gaming system. Restor Neurol Neurosci. 2011;29(5):287-98. doi: 10.3233/RNN-2011-0599.
PMID: 21697589BACKGROUNDShirzad N, Van der Loos HF. Adaptation of task difficulty in rehabilitation exercises based on the user's motor performance and physiological responses. IEEE Int Conf Rehabil Robot. 2013 Jun;2013:6650429. doi: 10.1109/ICORR.2013.6650429.
PMID: 24187247BACKGROUNDLaver KE, Lange B, George S, Deutsch JE, Saposnik G, Crotty M. Virtual reality for stroke rehabilitation. Cochrane Database Syst Rev. 2017 Nov 20;11(11):CD008349. doi: 10.1002/14651858.CD008349.pub4.
PMID: 29156493BACKGROUNDZondervan DK, Friedman N, Chang E, Zhao X, Augsburger R, Reinkensmeyer DJ, Cramer SC. Home-based hand rehabilitation after chronic stroke: Randomized, controlled single-blind trial comparing the MusicGlove with a conventional exercise program. J Rehabil Res Dev. 2016;53(4):457-72. doi: 10.1682/JRRD.2015.04.0057.
PMID: 27532880BACKGROUNDLum PS, Mulroy S, Amdur RL, Requejo P, Prilutsky BI, Dromerick AW. Gains in upper extremity function after stroke via recovery or compensation: Potential differential effects on amount of real-world limb use. Top Stroke Rehabil. 2009 Jul-Aug;16(4):237-53. doi: 10.1310/tsr1604-237.
PMID: 19740730BACKGROUNDKrakauer JW, Carmichael ST, Corbett D, Wittenberg GF. Getting neurorehabilitation right: what can be learned from animal models? Neurorehabil Neural Repair. 2012 Oct;26(8):923-31. doi: 10.1177/1545968312440745. Epub 2012 Mar 30.
PMID: 22466792BACKGROUNDFolstein MF, Robins LN, Helzer JE. The Mini-Mental State Examination. Arch Gen Psychiatry. 1983 Jul;40(7):812. doi: 10.1001/archpsyc.1983.01790060110016. No abstract available.
PMID: 6860082BACKGROUNDHibbard JH, Mahoney ER, Stock R, Tusler M. Do increases in patient activation result in improved self-management behaviors? Health Serv Res. 2007 Aug;42(4):1443-63. doi: 10.1111/j.1475-6773.2006.00669.x.
PMID: 17610432BACKGROUNDBollen JC, Dean SG, Siegert RJ, Howe TE, Goodwin VA. A systematic review of measures of self-reported adherence to unsupervised home-based rehabilitation exercise programmes, and their psychometric properties. BMJ Open. 2014 Jun 27;4(6):e005044. doi: 10.1136/bmjopen-2014-005044.
PMID: 24972606BACKGROUNDRohafza M, Fluet GG, Qiu Q, Adamovich S. Correlation of reaching and grasping kinematics and clinical measures of upper extremity function in persons with stroke related hemiplegia. Annu Int Conf IEEE Eng Med Biol Soc. 2014;2014:3610-3. doi: 10.1109/EMBC.2014.6944404.
PMID: 25570772BACKGROUNDMerians AS, Poizner H, Boian R, Burdea G, Adamovich S. Sensorimotor training in a virtual reality environment: does it improve functional recovery poststroke? Neurorehabil Neural Repair. 2006 Jun;20(2):252-67. doi: 10.1177/1545968306286914.
PMID: 16679503BACKGROUNDPuthenveettil S, Fluet G, Qiu Q, Adamovich S. Classification of hand preshaping in persons with stroke using Linear Discriminant Analysis. Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:4563-6. doi: 10.1109/EMBC.2012.6346982.
PMID: 23366943BACKGROUNDFluet G, Qiu Q, Gross A, Gorin H, Patel J, Merians A, Adamovich S. The influence of scaffolding on intrinsic motivation and autonomous adherence to a game-based, sparsely supervised home rehabilitation program for people with upper extremity hemiparesis due to stroke. A randomized controlled trial. J Neuroeng Rehabil. 2024 Aug 13;21(1):143. doi: 10.1186/s12984-024-01441-7.
PMID: 39138516DERIVEDFluet G, Qiu Q, Gross A, Gorin H, Patel J, Merians A, Adamovich S. The influence of scaffolding on intrinsic motivation and autonomous adherence to a game-based, unsupervised home rehabilitation program for people with upper extremity hemiparesis due to stroke. A randomized controlled trial. Res Sq [Preprint]. 2024 Jun 7:rs.3.rs-4438077. doi: 10.21203/rs.3.rs-4438077/v1.
PMID: 38883760DERIVED
MeSH Terms
Conditions
Condition Hierarchy (Ancestors)
Limitations and Caveats
Small number of subjects.
Results Point of Contact
- Title
- Dr. Gerard G Fluet DPT, PhD
- Organization
- Rutgers The State University of NJ
Publication Agreements
- PI is Sponsor Employee
- No
- Restrictive Agreement
- No
Study Design
- Study Type
- interventional
- Phase
- not applicable
- Allocation
- RANDOMIZED
- Masking
- DOUBLE
- Who Masked
- PARTICIPANT, OUTCOMES ASSESSOR
- Purpose
- TREATMENT
- Intervention Model
- PARALLEL
- Sponsor Type
- OTHER
- Responsible Party
- PRINCIPAL INVESTIGATOR
- PI Title
- Associate Professor
Study Record Dates
First Submitted
April 26, 2019
First Posted
June 14, 2019
Study Start
September 8, 2019
Primary Completion
July 1, 2023
Study Completion
July 1, 2023
Last Updated
September 19, 2024
Results First Posted
September 19, 2024
Record last verified: 2024-09
Data Sharing
- IPD Sharing
- Will share
- Shared Documents
- STUDY PROTOCOL
- Time Frame
- We will make our data available immediately after study completion. Data will remain available indefinitely.
- Access Criteria
- Not Applicable - Open Access
Immediately following completion of our proposed study we will submit a de-identified data set our protocol and links to published papers based on the data set to the Centralized Open Access Rehabilitation Data Base for Stroke (SCOAR).