Use of mobile applications in post-stroke rehabilitation: a systematic review

References

• Mozaffarian D, Benjamin EJ, Go AS. et al. Heart disease and stroke statistics-2015 update: a report from the American Heart Association. Circulation. 2015;131:e29–322. doi:10.1161/CIR.0000000000000152
   PubMed Web of Science ®Google Scholar
• Gonghuan Y, Yu W, Yixin Z. et al. Rapid health transition in China, 1990–2010: findings from the Global Burden of Disease Study 2010. Lancet. 2013;381:1987–2015. doi:10.1016/S0140-6736(13)61097-1
   PubMed Web of Science ®Google Scholar
• Liu L, Wang D, Wong KS. et al. Stroke and stroke care in China: huge burden, significant workload, and a national priority. Stroke. 2011;42:3651–3654. doi:10.1161/STROKEAHA.111.635755
   PubMed Web of Science ®Google Scholar
• China Disease Control Center. “World Stroke Day” publicity theme and outline(2015). http://www.chinacdc.cn/yyrdgz/201510/t20151029_121495.html
   Google Scholar
• Valery L F, Mohammad H F, Rita K. et al. Global and regional burden of stroke during 1990–2010: findingsfrom the Global Burden of Disease Study 2010. Lancet. 2014;383:245–254. doi:10.1016/S0140-6736(13)61612-8
   PubMed Web of Science ®Google Scholar
• Saka O, Serra V, Samyshkin Y. et al. Cost-Effectiveness of stroke unit care followed by early supported discharge. Stroke. 2009;40:24–29. doi:10.1161/STROKEAHA.108.528760
   PubMed Web of Science ®Google Scholar
• Unit Trialists’ Collaboration. Organised inpatient (stroke unit) care forstroke. Cochrane Database Syst Rev. 2013;11: doi: 10.1002/14651858.CD000197
   Google Scholar
• Parmar P, Krishnamurthi R, Ikram MA. et al. The Stroke Riskometer(TM) App: validation of a data collection tool and stroke risk predictor. Int J Stroke. 2015;10:231–244. doi:10.1111/ijs.12411
   PubMed Web of Science ®Google Scholar
• Arab F, Malik Y, Abdulrazak B. Evaluation of phonage: an adapted smartphone interface for elderly people. Lect Notes Comput Sci. 2013;8120:547–554.
   Google Scholar
• Hyo Suk N, Eunjeong P, Ji Hoe H. Facilitating Stroke Management using Modern Information Technology. J Stroke. 2013;15:135–143. doi:10.5853/jos.2013.15.3.135
   PubMed Web of Science ®Google Scholar
• Touati F, Tabish R. u-Healthcare system: state-of-the-art review and challenges. J Med Syst. 2013;37:9949. doi:10.1007/s10916-013-9949-0
   PubMed Web of Science ®Google Scholar
• Caitlin B, Linda W, Amy D R. et al. Mobile computing technology and aphasia: an integrated review of accessibility and potential uses. Aphasiology. 2013;27(4):444–461. doi:10.1080/02687038.2013.772293
   Web of Science ®Google Scholar
• Sureshkumar K, Murthy GV, Munuswamy S. et al. ‘Care for Stroke’, a web-based, smartphone-enabled educational intervention for management of physical disabilities following stroke: feasibility in the Indian context. BMJ Innov. 2015;1(3):127–136. doi:10.1136/bmjinnov-2015-000056
   PubMedGoogle Scholar
• Wolf SL, Kwakkel G, Bayley M. et al. Best practice for arm recovery post stroke: an international application. Physiotherapy. 2016;102(1):1–4. doi:10.1016/j.physio.2015.08.007
   PubMed Web of Science ®Google Scholar
• Kondapalli A, Zhang LR, Patel S. et al. A phonology-free mobile communication app. Disabil Rehabil Assist Technol. 2016;11(8):678–682. doi:10.3109/17483107.2015.1029539
   PubMed Web of Science ®Google Scholar
• Chumbler NR, Quigley P, Sanford J. et al. Implementing telerehabilitation research for stroke rehabilitation with community dwelling veterans: lessons learned. Int J Telerehabil. 2010;2:15–22. doi:10.5195/IJT.2010.6047
   PubMedGoogle Scholar
• Tsoupikova D, Stoykov NS, Corrigan M. et al. Virtual immersion for poststroke hand rehabilitation therapy. Ann Biomed Eng. 2015;43:467–477. doi:10.1007/s10439-014-1218-y
   PubMed Web of Science ®Google Scholar
• Williams B, Allen B, Hu Z. et al. Real-time fall risk assessment using functional reach test. Int J Telemed Appl. 2017;2017:2042974.
   PubMed Web of Science ®Google Scholar
• Jagos H, David V, Reichel M. et al. Tele-monitoring of the rehabilitation progress in stroke patients. Stud Health Technol Inform. 2015;211:311–313.
   PubMedGoogle Scholar
• Sun J, Guo Y, Wang X. et al. mHealth for aging china: opportunities and challenges. Aging Dis. 2016;7(1):53–67. doi:10.14336/AD.2015.1011
   PubMed Web of Science ®Google Scholar
• Moher D, Liberati A, Tetzlaff J, Dg A. The PRISMA Group.Preferred Reporting Items for Systematic Reviews and Meta-Analyses: the PRISMA Statement. PLoS Med. 2009;6:e1000097. doi:10.1371/journal.pmed.1000097
   PubMed Web of Science ®Google Scholar
• The Joanna Briggs Institute. Checklist for Randomized Controlled Trials(2016). http://joannabriggs.org/research/critical-appraisal-tools.html.
   Google Scholar
• The Joanna Briggs Institute. Checklist for Quasi-Experimental Studies(2016). http://joannabriggs.org/research/critical-appraisal-tools.html.
   Google Scholar
• Sonia L, Ziying T, Jinjuan F. Supporting stroke motor recovery through a mobile application: a pilot study. Am J Occup Ther. 2017;71(3):7103350010p1–7103350010p5. doi:10.5014/ajot.2017.025023
   PubMed Web of Science ®Google Scholar
• Sureshkumar K, Murthy G, Natarajan S. et al. Evaluation of the feasibility and acceptability of the ‘Care for Stroke’ intervention in India, a smartphone-enabled, carer-supported, educational intervention for management of disability following stroke. BMJ Open. 2016;6(2):e009243. doi:10.1136/bmjopen-2015-009243
   PubMed Web of Science ®Google Scholar
• Paul L, Wyke S, Brewster S. et al. Increasing physical activity in stroke survivors using STARFISH, an interactive mobile phone application: a pilot study. Top Stroke Rehabil. 2016;23(3):170–177. doi:10.1080/10749357.2015.1122266
   PubMed Web of Science ®Google Scholar
• Kizony R, Zeilig G, Dudkiewicz I. et al. Tablet apps and dexterity: comparison between 3 age groups and proof of concept for stroke rehabilitation. J Neurol Phys Ther. 2016;40(1):31–39. doi:10.1097/NPT.0000000000000110
   PubMed Web of Science ®Google Scholar
• Jang SH, Jang WH. The effect of a finger training application using a tablet PC in chronic hemiparetic stroke patients. Somatosens Mot Res. 2016;33(2):124–129. doi:10.1080/08990220.2016.1197117
   PubMed Web of Science ®Google Scholar
• Seo WK, Kang J, Jeon M. et al. Feasibility of using a mobile application for the monitoring and management of stroke-associated risk factors. J Clin Neurol. 2015;11(2):142–148. doi:10.3988/jcn.2015.11.2.142
   PubMed Web of Science ®Google Scholar
• Des Roches CA, Balachandran I, Ascenso EM. et al. Effectiveness of an impairment-based individualized rehabilitation program using an iPad-based software platform. Front Hum Neurosci. 2015;8:1015. doi:10.3389/fnhum.2014.01015
   PubMed Web of Science ®Google Scholar
• Kurland J, Wilkins AR, Stokes P. iPractice: piloting the effectiveness of a tablet-based home practice program in aphasia treatment. Semin Speech Lang. 2014;35(1):51–63. doi:10.1055/s-0033-1362991
   PubMed Web of Science ®Google Scholar
• Hoover EL, Carney A. Integrating the iPad into an intensive, comprehensive aphasia program. Semin Speech Lang. 2014;35(1):25–37. doi:10.1055/s-0033-1362990
   PubMed Web of Science ®Google Scholar
• Ong YH, Brown MM, Robinson P. et al. Read-Right: a “web app” that improves reading speeds in patients with hemianopia. J Neurol. 2012;259(12):2611–2615. doi:10.1007/s00415-012-6549-8
   PubMed Web of Science ®Google Scholar
• Pavel R, Petr N, Dagmar B. et al. Computer-Assisted Cognitive Rehabilitation in Stroke and Alzheimer’s disease. Eur J Neurol. 2014;22:674.
   Web of Science ®Google Scholar
• Prokopenko SV, Mozheyko EY, Petrova MM. et al. Correction of post-stroke cognitive impairments using computer programs. J Neurol Sci. 2013;325(1–2):148–153. doi:10.1016/j.jns.2012.12.024
   PubMed Web of Science ®Google Scholar
• Billinger SA, Arena R, Bernhardt J. et al. Physical activity and exercise recommendations for stroke survivors: a statement for healthcare professionals from the American Heart Association/American Stroke Association. Stroke. 2014;45(8):2532–2553. doi:10.1161/STR.0000000000000022
   PubMed Web of Science ®Google Scholar
• Veerbeek JM, van Wegen E, van Peppen R. et al. What is the evidence for physical therapy poststroke? A systematic review and meta-analysis. PLoS One. 2014;‘9(2):e87987.
   PubMed Web of Science ®Google Scholar
• Saposnik G, Del Brutto OH. Stroke in South America: a systematic review of incidence, prevalence, and stroke subtypes. Stroke. 2003;34(9):2103–2107. doi:10.1161/01.STR.0000088063.74250.DB
   PubMed Web of Science ®Google Scholar
• Van Peppen RP, Kwakkel G, Wood-Dauphinee S. et al. The impact of physical therapy on functional outcomes after stroke: what’s the evidence?. Clin Rehabil. 2004;18(8):833–862. doi:10.1191/0269215504cr843oa
   PubMed Web of Science ®Google Scholar
• Vallury KD, Jones M, Gray R. Do family-oriented interventions reduce poststroke depression? A systematic review and recommendations for practice. Top Stroke Rehabil. 2015;22(6):453–459. doi:10.1179/1074935715Z.00000000061
   PubMed Web of Science ®Google Scholar
• Hilari K, Needle JJ, Harrison KL. What are the important factors in health related quality of life for people with aphasia? A systematic review. Arch Phys Med Rehabil. 2012;93(1):S86–95. doi:10.1016/j.apmr.2011.05.028
   PubMed Web of Science ®Google Scholar
• Mylius V, Zouari HG, Ayache SS. et al. Stroke rehabilitation using noninvasive cortical stimulation: aphasia. Expert Rev Neurother. 2012;12(8):973–982. doi:10.1586/ern.12.76
   PubMed Web of Science ®Google Scholar
• Schlaug G, Marchin S, Wan CY. The use of noninvasive brain stimulation techniques to facilitate recovery from post-stroke aphasia. Neuropsychology Review. 2011;21:288–301. doi:10.1007/s11065-011-9181-y
   PubMed Web of Science ®Google Scholar
• Hartwigsen G. Adaptive plasticity in the healthy language network: implications for language recovery after stroke. Neural Plast. 2016;2016:9674790. doi:10.1155/2016/5260671
   PubMedGoogle Scholar
• Elman RJ, Bernstein-Ellis E. The efficacy of group communication treatment in adults with chronic aphasia. J Speech Lang Hear Res. 1999;42(2):411–419. doi:10.1044/jslhr.4202.411
   PubMed Web of Science ®Google Scholar
• Brindley P, Copeland M, Demain C. et al. A comparison of the speech of ten chronic Broca’s aphasics following intensive and non-intensive periods of therapy. Aphasiology. 1989;3(8):695–707. doi:10.1080/02687038908249037
   Web of Science ®Google Scholar
• Basso A, Macis M. Therapy efficacy in chronic aphasia. Behav Neurol. 2011;24(4):317–325. doi:10.3233/BEN-2011-0342
   PubMed Web of Science ®Google Scholar
• Del Ser T, Barba R, Morin MM. et al. Evolution of cognitive impairment after stroke and risk factors for delayed progression. Stroke. 2005;36(12):2670–2675. doi:10.1161/01.STR.0000189626.71033.35
   PubMed Web of Science ®Google Scholar
• Barba R, Martinez-Espinosa S, Rodriguez-Garcia E. et al. Poststroke dementia: clinical features and risk factors. Stroke. 2000;‘31(7):1494–1501.
   PubMed Web of Science ®Google Scholar
• Otfinowski J, Jasiak-Tyrkalska B, Starowicz A. et al. Computer-based rehabilitation of cognitive impairments and motor arm function of patients with hemiparesis after stroke. Neurol Neurochir Pol. 2006;‘40(2):112–118.
   PubMedGoogle Scholar
• Erkinjuntti T, Román G, Gauthier S. et al. Emerging therapies for vascular dementia and vascular cognitive impairment. Stroke. 2004;35(4):1010–1017. doi:10.1161/01.STR.0000120731.88236.33
   PubMed Web of Science ®Google Scholar
• Fernández-Cadenas I, Mendióroz M, Giralt D. et al. GRECOS project (genotyping recurrence risk of stroke): the use of genetics to predict the Vascular Recurrence after stroke. Stroke. 2017;48(5):1147–1153. doi:10.1161/STROKEAHA.116.014322
   PubMed Web of Science ®Google Scholar
• Mozaffarian D, Benjamin EJ, Go AS. et al. American heart association statistics committee and stroke statistics subcommittee. heart disease and stroke statistics–2015 update: a report from the American Heart Association. Circulation. 2015;131:e29–322. doi:10.1161/CIR.0000000000000152
   PubMed Web of Science ®Google Scholar