- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT03517371
Walking and mHealth to Increase Participation in Parkinson Disease (WHIPPD)
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Parkinson disease (PD) is one of the most disabling chronic health conditions affecting older adults globally. While advances in medical and surgical management of PD have increased lifespans, these have not effectively altered the progressive decline in physical function and quality of life associated with PD. Identifying effective ways to improve function, slow decline and prevent or reduce disability remains of utmost importance in PD. Of particular concern in PD is gait decline, which is considered a red flag signaling emerging disability. Prior work has shown that people with PD experienced a 12% decline in amount of walking over one year - despite relative stability of motor impairments during that year. Treatment targeting walking, the most rapidly changing aspect of disability in PD, may have the greatest influence on slowing the impact of disease progression on physical function and reducing disability.
Traditionally, rehabilitation has targeted impairments and functional limitations with the expectation that gains would translate into greater participation in real-world activities. However, the evidence suggests that this does not occur. In this proposal, the investigators suggest a paradigm shift in which the primary target of the intervention is real-world walking behavior, as greater walking activity could preserve walking function and slow disability. The primary factors that limit engagement in walking in PD are psychological (e.g., low self-efficacy) rather than physical (e.g., motor impairments) in nature. As such, investigators will evaluate a cognitive-behavioral approach, grounded in social-cognitive theory and targeted at enhancing walking activity. This "connected behavioral approach" links physical therapists to persons with PD using a mobile health (mHealth) platform to deliver strategies to increase self-efficacy and provide goal-oriented, dynamic walking routines and walking enhancing exercises over one year. This approach will be compared to a control intervention which provides equivalent components and dosing of walking and a walking enhancing exercise program delivered by physical therapists but without a cognitive-behavioral mHealth approach. Investigators hypothesize that the mHealth group will demonstrate higher amounts of walking activity and greater walking capacity relative to the control group. With regard to mechanism underlying improvements in the mHealth group, it is hypothesized that self-efficacy will mediate changes in amount of walking and that changes in amount of walking will mediate changes in walking capacity over one year. The insights to be gained regarding mechanisms underlying changes noted will be critical to inform rehabilitation interventions designed to encourage sustained, long-term physical activity. If effective, our "connected behavioral approach" offers a unique, generalizable and scalable means to increase walking activity and improve walking capacity, thereby reducing disability in PD and perhaps in other chronic progressive conditions.
Study Type
Enrollment (Actual)
Phase
- Not Applicable
Contacts and Locations
Study Locations
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Massachusetts
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Boston, Massachusetts, United States, 02215
- Center for Neurorehabilitation, College of Health & Rehabilitation Sciences, Sargent College, Boston University
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Missouri
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Saint Louis, Missouri, United States, 63108
- Washington University St. Louis
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Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Description
Inclusion Criteria:
- Diagnosis of idiopathic, typical Parkinson disease according to the UK Brain Bank Criteria;
- Hoehn & Yahr stages 1-3 (mild to moderate disease severity);
- Stable on all PD medications for at least 2 weeks prior to study entry;
- Willing and able to provide informed consent.
Exclusion Criteria:
- < 18 years of age;
- Pregnant;
- diagnosis of atypical Parkinsonism;
- Hoehn & Yahr stages 4-5
- a score of > 2 on item 7 of the new freezing of gait questionnaire (moderately or significantly disturbing freezing episodes during daily walking);
- significant cognitive impairment;
- unstable medical or concomitant illnesses or psychiatric conditions, which in the opinion of the investigators would preclude successful participation;
- cardiac problems that interfere with ability to safely exercise
- orthopedic problems in the lower extremities or spine that may limit walking distance;
- unable to walk for 10 continuous minutes independently;
- live in an institution or medical facility (i.e. not in the community)
Study Plan
How is the study designed?
Design Details
- Primary Purpose: Treatment
- Allocation: Randomized
- Interventional Model: Parallel Assignment
- Masking: Single
Arms and Interventions
Participant Group / Arm |
Intervention / Treatment |
|---|---|
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Experimental: mHealth delivered exercise program
Participants in the mHealth delivered exercise program have up to 8 in-person visits with a physical therapist over 12 months.
The mHealth exercise program, consisting of walking, strengthening and stretching exercises, is prescribed and remotely adapted by a physical therapist over 1 year.
Approximately 5-7 exercises are implemented 5 days per week.
The exercise program is video-recorded and accessed on a smartphone or computer tablet via an application ("app").
Cognitive-behavioral elements are integrated emphasizing participant engagement in managing their health condition.
Components of the mHealth program include goal setting, action planning, automated rewards, self-monitoring of progress and a remote connection to a physical therapist through a messaging feature.
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Participants in the mobile health condition have up to 8 in-person visits with a physical therapist over 12 months.
The exercise program, consisting of walking, strengthening and stretching exercises, is prescribed through an "app" and remotely adapted by a physical therapist over 1 year.
Approximately 5-7 exercises are implemented 5 days per week.
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Active Comparator: Exercise only
Participants in the control group have up to 8 in-person visits with a physical therapist over 12-months - equivalent to the dose provided to the mHealth condition.
Participants are instructed by the physical therapist to engage in walking and perform the same progressive resistance and stretching exercises (tailored to their needs and provided in written format) at the same frequency (5x/week) as participants in the mHealth condition.
Participants in the control condition are instructed to gradually progress their exercise program and to increase the amount of walking over a 1-year period.
No cognitive-behavioral approaches or mHealth technology will be provided.
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Participants in the control group have up to 8 in-person visits with the intervention physical therapist over 12-months.
Participants are instructed by the physical therapist to engage in walking and perform progressive resistance and stretching exercises (tailored to their needs and provided in written format) 5 days per week.
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What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Walking Activity
Time Frame: 12 months
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Change in the average number of steps walked per day over the one year study.
Participants wore the step watch for one week before starting the program as part of their baseline visit and one week at the end of the year program as part of their 12-month visit.
Daily steps were averaged at baseline and 12-month and a change score was computed (average of daily steps at 12-Months minus average of daily steps at baseline).
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12 months
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Walking Intensity
Time Frame: 12 months
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Change in the average number of moderate intensity minutes over the one year study.
Moderate intensity minutes is defined as the number of minutes in which >100 steps were accumulated.
Participants wore the step watch for one week before starting the program as part of their baseline visit and one week at the end of the year program as part of their 12-month visit.
Moderate intensity minutes were averaged at baseline and 12-month and a change score was computed (average of moderate intensity minutes at 12-Months minus average of moderate intensity minutes at baseline).
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12 months
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Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
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Walking Capacity - Six Minute Walk Distance
Time Frame: 12 months
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Change in the number of meters walked during the six-minute walk test over the one year study.
The distance in meters is reported.
Participants completed the six-minute walk before starting the program as part of their baseline visit and at the end of the year program as part of their 12-month visit.
A change score was computed - the number of meters walked at 12 months minus the number of meters walked at baseline).
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12 months
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Walking Capacity - Ten Meter Walk Test
Time Frame: 12 months
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Change in the number of meters per second walked during the ten-meter walk test (comfortable forward pace) over the one year study.
The distance in meters per second are reported.
Participants completed the ten-meter walk test before starting the program as part of their baseline visit and at the end of the year program as part of their 12-month visit.
A change score was computed - the number of meters per second walked at 12-months minus the number of meters per second walked at baseline).
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12 months
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Collaborators and Investigators
Collaborators
Investigators
- Principal Investigator: Theresa D Ellis, PhD, Boston University
- Principal Investigator: Gammon M Earhart, PhD, Washington University School of Medicine
Publications and helpful links
General Publications
- Shulman LM. Understanding disability in Parkinson's disease. Mov Disord. 2010;25 Suppl 1:S131-5. doi: 10.1002/mds.22789.
- Ellis TD, Cavanaugh JT, Earhart GM, Ford MP, Foreman KB, Thackeray A, Thiese MS, Dibble LE. Identifying clinical measures that most accurately reflect the progression of disability in Parkinson disease. Parkinsonism Relat Disord. 2016 Apr;25:65-71. doi: 10.1016/j.parkreldis.2016.02.006. Epub 2016 Feb 2.
- Cavanaugh JT, Ellis TD, Earhart GM, Ford MP, Foreman KB, Dibble LE. Capturing ambulatory activity decline in Parkinson's disease. J Neurol Phys Ther. 2012 Jun;36(2):51-7. doi: 10.1097/NPT.0b013e318254ba7a.
- Lord S, Godfrey A, Galna B, Mhiripiri D, Burn D, Rochester L. Ambulatory activity in incident Parkinson's: more than meets the eye? J Neurol. 2013 Dec;260(12):2964-72. doi: 10.1007/s00415-013-7037-5. Epub 2013 Jul 31. Erratum In: J Neurol. 2013 Dec;260(12):2973.
- Shulman LM, Gruber-Baldini AL, Anderson KE, Vaughan CG, Reich SG, Fishman PS, Weiner WJ. The evolution of disability in Parkinson disease. Mov Disord. 2008 Apr 30;23(6):790-6. doi: 10.1002/mds.21879.
- Ellis T, Boudreau JK, DeAngelis TR, Brown LE, Cavanaugh JT, Earhart GM, Ford MP, Foreman KB, Dibble LE. Barriers to exercise in people with Parkinson disease. Phys Ther. 2013 May;93(5):628-36. doi: 10.2522/ptj.20120279. Epub 2013 Jan 3.
- Ellis T, Cavanaugh JT, Earhart GM, Ford MP, Foreman KB, Fredman L, Boudreau JK, Dibble LE. Factors associated with exercise behavior in people with Parkinson disease. Phys Ther. 2011 Dec;91(12):1838-48. doi: 10.2522/ptj.20100390. Epub 2011 Oct 14.
- Dusseldorp E, van Genugten L, van Buuren S, Verheijden MW, van Empelen P. Combinations of techniques that effectively change health behavior: evidence from Meta-CART analysis. Health Psychol. 2014 Dec;33(12):1530-40. doi: 10.1037/hea0000018. Epub 2013 Nov 25.
- Whitehead L, Seaton P. The Effectiveness of Self-Management Mobile Phone and Tablet Apps in Long-term Condition Management: A Systematic Review. J Med Internet Res. 2016 May 16;18(5):e97. doi: 10.2196/jmir.4883.
- Tudor-Locke C, Bassett DR Jr. How many steps/day are enough? Preliminary pedometer indices for public health. Sports Med. 2004;34(1):1-8. doi: 10.2165/00007256-200434010-00001.
- Dontje ML, de Greef MH, Speelman AD, van Nimwegen M, Krijnen WP, Stolk RP, Kamsma YP, Bloem BR, Munneke M, van der Schans CP. Quantifying daily physical activity and determinants in sedentary patients with Parkinson's disease. Parkinsonism Relat Disord. 2013 Oct;19(10):878-82. doi: 10.1016/j.parkreldis.2013.05.014. Epub 2013 Jun 12.
- Oguh O, Eisenstein A, Kwasny M, Simuni T. Back to the basics: regular exercise matters in parkinson's disease: results from the National Parkinson Foundation QII registry study. Parkinsonism Relat Disord. 2014 Nov;20(11):1221-5. doi: 10.1016/j.parkreldis.2014.09.008. Epub 2014 Sep 16.
- Corcos DM, Robichaud JA, David FJ, Leurgans SE, Vaillancourt DE, Poon C, Rafferty MR, Kohrt WM, Comella CL. A two-year randomized controlled trial of progressive resistance exercise for Parkinson's disease. Mov Disord. 2013 Aug;28(9):1230-40. doi: 10.1002/mds.25380. Epub 2013 Mar 27.
- LaHue SC, Comella CL, Tanner CM. The best medicine? The influence of physical activity and inactivity on Parkinson's disease. Mov Disord. 2016 Oct;31(10):1444-1454. doi: 10.1002/mds.26728.
- Petzinger GM, Fisher BE, McEwen S, Beeler JA, Walsh JP, Jakowec MW. Exercise-enhanced neuroplasticity targeting motor and cognitive circuitry in Parkinson's disease. Lancet Neurol. 2013 Jul;12(7):716-26. doi: 10.1016/S1474-4422(13)70123-6.
- Hirsch MA, Iyer SS, Sanjak M. Exercise-induced neuroplasticity in human Parkinson's disease: What is the evidence telling us? Parkinsonism Relat Disord. 2016 Jan;22 Suppl 1:S78-81. doi: 10.1016/j.parkreldis.2015.09.030. Epub 2015 Sep 15.
- Uc EY, Doerschug KC, Magnotta V, Dawson JD, Thomsen TR, Kline JN, Rizzo M, Newman SR, Mehta S, Grabowski TJ, Bruss J, Blanchette DR, Anderson SW, Voss MW, Kramer AF, Darling WG. Phase I/II randomized trial of aerobic exercise in Parkinson disease in a community setting. Neurology. 2014 Jul 29;83(5):413-25. doi: 10.1212/WNL.0000000000000644. Epub 2014 Jul 2.
- Shulman LM, Katzel LI, Ivey FM, Sorkin JD, Favors K, Anderson KE, Smith BA, Reich SG, Weiner WJ, Macko RF. Randomized clinical trial of 3 types of physical exercise for patients with Parkinson disease. JAMA Neurol. 2013 Feb;70(2):183-90. doi: 10.1001/jamaneurol.2013.646.
- Williams SL, French DP. What are the most effective intervention techniques for changing physical activity self-efficacy and physical activity behaviour--and are they the same? Health Educ Res. 2011 Apr;26(2):308-22. doi: 10.1093/her/cyr005. Epub 2011 Feb 14.
- Richardson J, Loyola-Sanchez A, Sinclair S, Harris J, Letts L, MacIntyre NJ, Wilkins S, Burgos-Martinez G, Wishart L, McBay C, Martin Ginis K. Self-management interventions for chronic disease: a systematic scoping review. Clin Rehabil. 2014 Nov;28(11):1067-77. doi: 10.1177/0269215514532478. Epub 2014 Apr 30.
- Vassilev I, Rowsell A, Pope C, Kennedy A, O'Cathain A, Salisbury C, Rogers A. Assessing the implementability of telehealth interventions for self-management support: a realist review. Implement Sci. 2015 Apr 24;10:59. doi: 10.1186/s13012-015-0238-9.
- Hamine S, Gerth-Guyette E, Faulx D, Green BB, Ginsburg AS. Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review. J Med Internet Res. 2015 Feb 24;17(2):e52. doi: 10.2196/jmir.3951.
- Moller AC, Merchant G, Conroy DE, West R, Hekler E, Kugler KC, Michie S. Applying and advancing behavior change theories and techniques in the context of a digital health revolution: proposals for more effectively realizing untapped potential. J Behav Med. 2017 Feb;40(1):85-98. doi: 10.1007/s10865-016-9818-7. Epub 2017 Jan 5.
- Geuens J, Swinnen TW, Westhovens R, de Vlam K, Geurts L, Vanden Abeele V. A Review of Persuasive Principles in Mobile Apps for Chronic Arthritis Patients: Opportunities for Improvement. JMIR Mhealth Uhealth. 2016 Oct 13;4(4):e118. doi: 10.2196/mhealth.6286.
- Lee AC, Harada N. Telehealth as a means of health care delivery for physical therapist practice. Phys Ther. 2012 Mar;92(3):463-8. doi: 10.2522/ptj.20110100. Epub 2011 Dec 1. No abstract available.
- Cavanaugh JT, Ellis TD, Earhart GM, Ford MP, Foreman KB, Dibble LE. Toward Understanding Ambulatory Activity Decline in Parkinson Disease. Phys Ther. 2015 Aug;95(8):1142-50. doi: 10.2522/ptj.20140498. Epub 2015 Apr 9.
- Motl RW, Pilutti LA, Learmonth YC, Goldman MD, Brown T. Clinical importance of steps taken per day among persons with multiple sclerosis. PLoS One. 2013 Sep 4;8(9):e73247. doi: 10.1371/journal.pone.0073247. eCollection 2013.
- Speelman AD, van Nimwegen M, Borm GF, Bloem BR, Munneke M. Monitoring of walking in Parkinson's disease: validation of an ambulatory activity monitor. Parkinsonism Relat Disord. 2011 Jun;17(5):402-4. doi: 10.1016/j.parkreldis.2011.02.006. Epub 2011 Mar 1. No abstract available.
- Tudor-Locke C, Leonardi C, Johnson WD, Katzmarzyk PT, Church TS. Accelerometer steps/day translation of moderate-to-vigorous activity. Prev Med. 2011 Jul-Aug;53(1-2):31-3. doi: 10.1016/j.ypmed.2011.01.014. Epub 2011 Feb 2.
- van Nimwegen M, Speelman AD, Overeem S, van de Warrenburg BP, Smulders K, Dontje ML, Borm GF, Backx FJ, Bloem BR, Munneke M; ParkFit Study Group. Promotion of physical activity and fitness in sedentary patients with Parkinson's disease: randomised controlled trial. BMJ. 2013 Mar 1;346:f576. doi: 10.1136/bmj.f576.
- Ellis T, Latham NK, DeAngelis TR, Thomas CA, Saint-Hilaire M, Bickmore TW. Feasibility of a virtual exercise coach to promote walking in community-dwelling persons with Parkinson disease. Am J Phys Med Rehabil. 2013 Jun;92(6):472-81; quiz 482-5. doi: 10.1097/PHM.0b013e31828cd466.
- Tudor-Locke C. Walk more (frequently, farther, faster): the perfect preventive medicine. Prev Med. 2012 Dec;55(6):540-1. doi: 10.1016/j.ypmed.2012.07.009. Epub 2012 Jul 20. No abstract available.
- Zajac JA, Cavanaugh JT, Baker T, Colon-Semenza C, DeAngelis TR, Duncan RP, Fulford D, LaValley M, Nordahl T, Rawson KS, Saint-Hilaire M, Thomas CA, Earhart GM, Ellis TD. Are Mobile Persons With Parkinson Disease Necessarily More Active? J Neurol Phys Ther. 2021 Oct 1;45(4):259-265. doi: 10.1097/NPT.0000000000000362.
- Rawson KS, Cavanaugh JT, Colon-Semenza C, DeAngelis T, Duncan RP, Fulford D, LaValley MP, Mazzoni P, Nordahl T, Quintiliani LM, Saint-Hilaire M, Thomas CA, Earhart GM, Ellis TD. Design of the WHIP-PD study: a phase II, twelve-month, dual-site, randomized controlled trial evaluating the effects of a cognitive-behavioral approach for promoting enhanced walking activity using mobile health technology in people with Parkinson-disease. BMC Neurol. 2020 Apr 20;20(1):146. doi: 10.1186/s12883-020-01718-z.
- Archer KR, Devin CJ, Vanston SW, Koyama T, Phillips SE, Mathis SL, George SZ, McGirt MJ, Spengler DM, Aaronson OS, Cheng JS, Wegener ST. Cognitive-Behavioral-Based Physical Therapy for Patients With Chronic Pain Undergoing Lumbar Spine Surgery: A Randomized Controlled Trial. J Pain. 2016 Jan;17(1):76-89. doi: 10.1016/j.jpain.2015.09.013. Epub 2015 Oct 23. Erratum In: J Pain. 2017 Apr;18(4):477. doi: 10.1016/j.jpain.2017.02.425.
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Actual)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- 1R01HD092444 (U.S. NIH Grant/Contract)
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
product manufactured in and exported from the U.S.
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