Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) trial: protocol of a randomized clinical trial on tele-rehabilitation for stroke patients

Gerald Choon-Huat Koh, Shih Cheng Yen, Arthur Tay, Angela Cheong, Yee Sien Ng, Deidre Anne De Silva, Carolina Png, Kevin Caves, Karen Koh, Yogaprakash Kumar, Shi Wen Phan, Bee Choo Tai, Cynthia Chen, Effie Chew, Zhaojin Chao, Chun En Chua, Yen Sin Koh, Helen Hoenig, Gerald Choon-Huat Koh, Shih Cheng Yen, Arthur Tay, Angela Cheong, Yee Sien Ng, Deidre Anne De Silva, Carolina Png, Kevin Caves, Karen Koh, Yogaprakash Kumar, Shi Wen Phan, Bee Choo Tai, Cynthia Chen, Effie Chew, Zhaojin Chao, Chun En Chua, Yen Sin Koh, Helen Hoenig

Abstract

Background: Most acute stroke patients with disabilities do not receive recommended rehabilitation following discharge to the community. Functional and social barriers are common reasons for non-adherence to post-discharge rehabilitation. Home rehabilitation is an alternative to centre-based rehabilitation but is costlier. Tele-rehabilitation is a possible solution, allowing for remote supervision of rehabilitation and eliminating access barriers. The objective of the Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) trial is to determine if a novel tele-rehabilitation intervention for the first three months after stroke admission improves functional recovery compared to usual care.

Methods/design: This is a single blind (evaluator blinded), parallel, two-arm randomised controlled trial study design involving 100 recent stroke patients. The inclusion criteria are age ≥40 years, having caregiver support and recent stroke defined as stroke diagnosis within 4 weeks. Consenting participants will be randomized with varying block size of 4 or 6 assuming a 1:1 treatment allocation with the participating centre as the stratification factor. The baseline assessment will be done within 4 weeks of stroke onset, followed by follow-up assessments at 3 and 6 months. The tele-rehabilitation intervention lasts for 3 months and includes exercise 5-days-a-week using an iPad-based system that allows recording of daily exercise with video and sensor data and weekly video-conferencing with tele-therapists after data review. Those allocated to the control group will receive usual care. The primary outcome measure is improvement in life task's social activity participation at three months as measured by the disability component of the Jette Late Life Functional and Disability Instrument (LLFDI). Secondary outcome variables consist of gait speed (Timed 5-Meter Walk Test) and endurance (Two-Minute Walk test), performance of basic activities of daily living (Shah-modified Barthel Index), balance confidence (Activities-Specific Balance Confidence Scale), patient self-reported health-related quality-of-life [Euro-QOL (EQ-5D)], health service utilization (Singapore Stroke Study Health Service Utilization Form) and caregiver reported stress (Zarit Caregiver Burden Inventory).

Discussion: The goal of this trial is to provide evidence on the potential benefit and cost-effectiveness of this novel tele-rehabilitation programme which will guide health care decision-making and potentially improve performance of post-stroke community-based rehabilitation.

Trial registration: This trial protocol was registered under ClinicalTrials.gov on 18 July 2013 as study title "The Singapore Tele-technology Aided Rehabilitation in Stroke (STARS) Study" (ID: The STARS Study, ClinicalTrials.gov Identifier: NCT01905917 ).

Figures

Fig. 1
Fig. 1
STARS Trial Workflow Diagram
Fig. 2
Fig. 2
Usage Flow For Patient User Interface. a Patient is to press the ‘Play’ button to begin after starting the application. b Patient is directed to this page, which prompts him or her to disconnect the limb sensors from the charging cables. After which, the patient is to press the next button in (c) to commence. d Instruction is provided on how to wear the limb sensors prior to the exercise. e Patient is brought to this page to begin their exercise. A demonstration video is provided on the left side of the screen. The patient can look at himself or herself doing the exercises on the right side of the screen. Visual and audio feedback is also provided to patients
Fig. 3
Fig. 3
Screenshot of Video Application for Patient. The application allows patients to be familiarized with the exercises before proceeding to the actual exercise regime

References

    1. Koh GC-H, Saxena SK, Ng T-P, Yong D, Fong N-P. Effect of duration, participation rate, and supervision during community rehabilitation on functional outcomes in the first poststroke year in Singapore. Arch Phys Med Rehabil. 2012;93:279–86. doi: 10.1016/j.apmr.2011.08.017.
    1. Werner RA, Kessler S. Effectiveness of an intensive outpatient rehabilitation program for postacute stroke patients. Am J Phys Med Rehabil. 1996;75:114–20. doi: 10.1097/00002060-199603000-00006.
    1. Tangeman PT, Banaitis DA, Williams AK. Rehabilitation of chronic stroke patients: changes in functional performance. Arch Phys Med Rehabil. 1990;71:876–80.
    1. Wade DT, Collen FM, Robb GF, Warlow CP. Physiotherapy intervention late after stroke and mobility. BMJ. 1992;304:609–13. doi: 10.1136/bmj.304.6827.609.
    1. Chen AW, Koh YT, Leong SW, Ng LW, Lee PS, Koh GC. Post Community Hospital Discharge Rehabilitation Attendance: Self-Perceived Barriers and Participation over Time. Ann Acad Med Singapore. 2014;43:136–44.
    1. Björkdahl A, Nilsson AL, Grimby G, Sunnerhagen KS. Does a short period of rehabilitation in the home setting facilitate functioning after stroke? A randomized controlled trial. Clin Rehabil. 2006;20:1038–1049. doi: 10.1177/0269215506071230.
    1. Roderick P, Low J, Day R, Peasgood T, Mullee MA, Turnbull JC, et al. Stroke rehabilitation after hospital discharge : a randomized trial comparing domiciliary and. Age Ageing. 2001;30:303–10.
    1. Gladman J, Whynes D, Lincoln N. Cost comparison of domiciliary and hospital-based stroke rehabilitation. DOMINO Study Group. Age Ageing. 1994;23:241–245. doi: 10.1093/ageing/23.3.241.
    1. Schwamm LH, Holloway RG, Amarenco P, Audebert HJ, Bakas T, Chumbler NR, et al. A review of the evidence for the use of telemedicine within stroke systems of care: a scientific statement from the American Heart Association/American Stroke Association. Stroke. 2009;40:2616–34.
    1. Sanford JA, Griffiths PC, Richardson P, Hargraves K, Butterfield T, Hoenig H. The effects of in-home rehabilitation on task self-efficacy in mobility-impaired adults: A randomized clinical trial. J Am Geriatr Soc. 2006;54:1641–8. doi: 10.1111/j.1532-5415.2006.00913.x.
    1. Jackson JC, Ely EW, Morey MC, Anderson VM, Denne LB, Clune J, et al. Cognitive and physical rehabilitation of intensive care unit survivors: results of the RETURN randomized controlled pilot investigation. Crit Care Med. 2012;40:1088–97.
    1. Chumbler NR, Quigley P, Li X, Morey M, Rose D, Sanford J, et al. Effects of telerehabilitation on physical function and disability for stroke patients: a randomized, controlled trial. Stroke. 2012;43:2168–74.
    1. Chumbler NR, Rose DK, Griffiths P, Quigley P, McGee-Hernandez N, Carlson KA, et al. Study protocol: home-based telehealth stroke care: a randomized trial for veterans. Trials. 2010;11:74.
    1. Chen C, Koh GCH, Naidoo N, Cheong A, Fong NP, Tan YV, et al. Trends in length of stay, functional outcomes, and discharge destination stratified by disease type for inpatient rehabilitation in Singapore community hospitals from 1996 to 2005. Arch Phys Med Rehabil. 2013;94:1342–51.
    1. Ng YS, Jung H, Tay SS, Bok CW, Chiong Y, Lim PA. Results from a prospective acute inpatient rehabilitation database: clinical characteristics and functional outcomes using the Functional Independence Measure. Ann Acad Med Singapore. 2007;36:3–10.
    1. Stroke--1989. Recommendations on stroke prevention, diagnosis, and therapy. Report of the WHO Task Force on Stroke and other Cerebrovascular Disorders. Stroke. 1989; 20:1407–31.
    1. Ng T-P, Niti M, Chiam P-C, Kua E-H. Ethnic and educational differences in cognitive test performance on mini-mental state examination in Asians. Am J Geriatr Psychiatry. 2007;15:130–9. doi: 10.1097/01.JGP.0000235710.17450.9a.
    1. Lee WW, Yen S-C, Tay EBA, Zhao Z, Xu TM, Mui Ling KK, et al. A Smartphone-Centric System for the Range of Motion Assessment in Stroke Patients. IEEE J Biomed Heal Informatics. 2014;18:1839–47.
    1. Ng Y-S, Koh G, Chew E, Kumar Y, Yen S-C, Tay A, et al. Wireless wearable range-of-motion sensor system for upper and lower extremity joints: a validation study. Healthc Technol Lett. 2015;2:12–7.
    1. Madgwick SOH. An Efficient Orientation Filter for Inertial and Inertial/Magnetic Sensor Arrays. 2010.
    1. Duncan PW, Sullivan KJ, Behrman AL, Azen SP, Wu SS, Nadeau SE, et al. Protocol for the Locomotor Experience Applied Post-stroke (LEAPS) trial: a randomized controlled trial. BMC Neurol. 2007;7:39.
    1. Duncan PW, Jorgensen HS, Wade DT. Outcome measures in acute stroke trials: a systematic review and some recommendations to improve practice. Stroke. 2000;31:1429–1438. doi: 10.1161/01.STR.31.6.1429.
    1. Sayers SP, Jette AM, Haley SM, Heeren TC, Guralnik JM, Fielding RA. Validation of the Late-Life Function and Disability Instrument. J Am Geriatr Soc. 2004;52:1554–9. doi: 10.1111/j.1532-5415.2004.52422.x.
    1. Melzer I, Kurz I, Sarid O, Jette AM. Relationship between self-reported function and disability and balance performance measures in the elderly. J Rehabil Res Dev. 2007;44:685–91. doi: 10.1682/JRRD.2006.10.0133.
    1. Shah S, Vanclay F, Cooper B. Improving the sensitivity of the Barthel Index for stroke rehabilitation. J Clin Epidemiol. 1989;42:703–9. doi: 10.1016/0895-4356(89)90065-6.
    1. Powell LE, Myers AM. The Activities-specific Balance Confidence (ABC) Scale. J Gerontol A Biol Sci Med Sci. 1995;50A:M28–34. doi: 10.1093/gerona/50A.1.M28.
    1. Szende A, Williams A. Measuring Self-Reported Population Health: An International Perspective Based on EQ-5D. Hungary: SpringMed Publishing Ltd; 2004.
    1. Brooks R. EuroQol: the current state of play. Health Policy. 1996;37:53–72. doi: 10.1016/0168-8510(96)00822-6.
    1. Seng BK, Luo N, Ng WY, Lim J, Chionh HL, Goh J, et al. Validity and reliability of the Zarit Burden Interview in assessing caregiving burden. Ann Acad Med Singapore. 2010;39:758–63.
    1. Venketasubramanian N, Chen CLH. Burden of stroke in Singapore. Int J Stroke. 2008;3:51–4. doi: 10.1111/j.1747-4949.2008.00181.x.

Source: PubMed

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