The Stroke Manager App—Individual and Mobile Support for Stroke Patients and Their Caregivers

Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 362)

Abstract

Today, there is a smartphone app for almost everything. Even though “apps” for mobile health (mHealth) seem to be a promising approach to address individual needs of patients and caregivers that are affected by a chronic medical condition, they are still scarce and their benefits have not been studied. Since stroke is the archetype of a chronic disease, this paper proposes an mHealth concept for stroke patients and their caregivers that combines individual information with mobile IT and serious games to support the rehabilitation, therapy adherence, and secondary stroke prevention. Based on literature and initial expert interviews, current shortcomings of German outpatient settings have been identified. They are addressed through the mHealth-based Stroke Manager App (SMA). Its concept has been evaluated by an online survey and the prototype will be evaluated in a field study. In this paper the SMA, survey results and the field study’s evaluation framework is presented.

Keywords

mHealth Healthcare Stroke Mobile IT Patient-centered 

References

  1. 1.
    Barzel A, Eisele M et al (2008) Outpatient management of stroke patients from the viewpoint of general practitioners in Hamburg—an exploratory study. Gesundheitswesen 70:170–176CrossRefGoogle Scholar
  2. 2.
    Boulos MN, Wheeler S et al (2011) How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. Biomed Eng Online 10:24CrossRefGoogle Scholar
  3. 3.
    Cameron JI, Tsoi C, Marsella A (2008) Optimizing stroke systems of care by enhancing transitions across care environments. Stroke 39:2637–2643CrossRefGoogle Scholar
  4. 4.
    Cavael D, Ziegler V et al (2012) Stroke Manager—Effiziente personalisierte Hilfe nach dem Schlaganfall Koordination und Navigation durch Informations management. Kongress der DGN, DGN Deutsche Gesellschaft für Neurologie, HamburgGoogle Scholar
  5. 5.
    Clifford GD, Clifton D (2012) Wireless technology in disease management and medicine. Ann Rev Med 63:479–492CrossRefGoogle Scholar
  6. 6.
    Demaerschalk BM (2011) Telemedicine or telephone consultation in patients with acute stroke. Curr Neurol Neurosci Rep 11:42–51CrossRefGoogle Scholar
  7. 7.
    Ferreira D, Kostakos V, Dey AK (2012) Lessons learned from large-scale user studies: using android market as a source of data. Int J Mob Hum Comput Interact (IJMHCI) 4:28–43CrossRefGoogle Scholar
  8. 8.
    Garcia F, Roch C et al. (2011) Pad 2 and iPhone 4: is it feasible to assess acute stroke using an apple mobile device? Radiological Society of North America 2011 Scientific Assembly and Annual Meeting, Chicago ILGoogle Scholar
  9. 9.
    Glader EL, Sjölander M et al (2010) Persistent use of secondary preventive drugs declines rapidly during the first 2 years after stroke. Stroke 41:397–401CrossRefGoogle Scholar
  10. 10.
    Heuschmann PU, Busse O et al (2010) Schlaganfallhäufigkeit und versorgung von schlaganfallpatienten in deutschland. Akt Neurol 37:333–340CrossRefGoogle Scholar
  11. 11.
    Heuschmann PU, Di Carlo A et al (2009) Incidence of stroke in Europe at the beginning of the 21st century. Stroke J Cereb Circ 40:1557–1563CrossRefGoogle Scholar
  12. 12.
    Istepanian RS, Zitouni K et al (2009) Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes. J Telemed Telecare 15:125–128CrossRefGoogle Scholar
  13. 13.
    Kim DK, Yoo SK et al (2009) A mobile telemedicine system for remote consultation in cases of acute stroke. J Telemed Telecare 15:102–107CrossRefGoogle Scholar
  14. 14.
    Kjellstrom T, Norrving B et al (2006) Helsingborg declaration 2006 on European stroke strategiesGoogle Scholar
  15. 15.
    Kolominsky-Rabas PL, Heuschmann PU et al (2006) Lifetime cost of ischemic stroke in germany: results and national projections from a population-based stroke registry the Erlangen stroke project. Stroke 37:1179–1183CrossRefGoogle Scholar
  16. 16.
    Leijdekkers P, Gay V (2006) Personal heart monitoring and rehabilitation system using smart phones. In: International conference on mobile business, ICMB’06. IEEE, pp 29–29Google Scholar
  17. 17.
    Leijdekkers P, Gay V, Lawrence E (2007) Smart homecare system for health tele-monitoring. In: First international conference on the digital society, ICDS’07. IEEE, pp 3–3Google Scholar
  18. 18.
    Leimeister JM, Krcmar H (2006) Community-engineering systematischer aufbau und betrieb virtueller communitys im gesundheitswesen. Wirtschaftsinformatik 48:418–429CrossRefGoogle Scholar
  19. 19.
    Lindig C, Brüggenjürgen B et al (2010) Die kosten des schlaganfallsłeine längsschnittanalyse. Pharm Econ Ger Res Artic 8:97–107CrossRefGoogle Scholar
  20. 20.
    Marshall A, Medvedev O, Antonov A (2008) Use of a smartphone for improved self-management of pulmonary rehabilitation. Int J Telemed Appl 2008:2Google Scholar
  21. 21.
    McCullagh E, Brigstocke G et al (2005) Determinants of caregiving burden and quality of life in caregivers of stroke patients. Stroke 36:2181–2186CrossRefGoogle Scholar
  22. 22.
    Mitchell JR, Sharma P et al. (2011) A smartphone client-server teleradiology system for primary diagnosis of acute stroke. J Med Internet Res 13Google Scholar
  23. 23.
    Olsen T, Langhorne P et al (2002) European stroke initiative recommendations for stroke management-update 2003. Cerebrovascular diseases (Basel, Switzerland) 16:311–337Google Scholar
  24. 24.
    Phillips G, Felix L et al (2010) The effectiveness of m-health technologies for improving health and health services: a systematic review protocol. BMC Res Notes 3:250CrossRefGoogle Scholar
  25. 25.
    Rahme RJ, Fishman AJ et al (2012) The future is now: smartphones to join scalpels and stethoscopes? Neurosurgery 70:N19–N20CrossRefGoogle Scholar
  26. 26.
    Schlote A, Poppendick U et al (2008) Knowledge of support and aid after first stroke. Die Rehabil 47:136–144CrossRefGoogle Scholar
  27. 27.
    Smith J, Forster A et al (2008) Information provision for stroke patients and their caregivers. The Cochrane LibraryGoogle Scholar
  28. 28.
    Takao H, Murayama Y et al (2012) A new support system using a mobile device (smartphone) for diagnostic image display and treatment of stroke. Stroke 43:236–239CrossRefGoogle Scholar
  29. 29.
    Tate G (1990) Prototyping: helping to build the right software. Inf Softw Technol 32:237–244CrossRefGoogle Scholar
  30. 30.
    Wissel J, Olver J, Sunnerhagen KS (2013) Navigating the poststroke continuum of care. J Stroke Cerebrovasc Dis 22:1–8CrossRefGoogle Scholar
  31. 31.
    Zelkowitz MV, Wallace DR (1998) Experimental models for validating technology. Computer 31:23–31CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2015

Authors and Affiliations

  1. 1.Karlsruhe Institute of TechnologyKarlsruheGermany

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