Table of Contents Author Guidelines Submit a Manuscript
Mobile Information Systems
Volume 2016, Article ID 1029368, 16 pages
http://dx.doi.org/10.1155/2016/1029368
Research Article

Evaluation of TRANSFoRm Mobile eHealth Solution for Remote Patient Monitoring during Clinical Trials

1Department of Computational Intelligence, Wroclaw University of Science and Technology, 50-370 Wrocław, Poland
2Faculty of Computer Science and Information Technology, West Pomeranian University of Technology, 71-210 Szczecin, Poland

Received 26 February 2016; Accepted 12 May 2016

Academic Editor: Hassan Mathkour

Copyright © 2016 Jarosław Jankowski et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Linked References

  1. A. V. Bennett, R. E. Jensen, and E. Basch, “Electronic patient-reported outcome systems in oncology clinical practice,” CA: A Cancer Journal for Clinicians, vol. 62, no. 5, pp. 337–347, 2012. View at Google Scholar · View at Scopus
  2. S. L. Eremenco, European Respiratory Monograph 62: Outcomes in Clinical Trials, European Respiratory Society, 2013.
  3. M. Rose and A. Bezjak, “Logistics of collecting patient-reported outcomes (PROs) in clinical practice: an overview and practical examples,” Quality of Life Research, vol. 18, no. 1, pp. 125–136, 2009. View at Publisher · View at Google Scholar · View at Scopus
  4. E. Basch, A. Iasonos, A. Barz et al., “Long-term toxicity monitoring via electronic patient-reported outcomes in patients receiving chemotherapy,” Journal of Clinical Oncology, vol. 25, no. 34, pp. 5374–5380, 2007. View at Publisher · View at Google Scholar
  5. N. Mastellos, G. Bliźniuk, D. Czopnik et al., “Feasibility and acceptability of TRANSFoRm to improve clinical trial recruitment in primary care,” Family Practice, vol. 33, no. 2, pp. 186–191, 2016. View at Publisher · View at Google Scholar
  6. R. C. Wu, D. Morra, S. Quan et al., “The use of smartphones for clinical communication on internal medicine wards,” Journal of Hospital Medicine, vol. 5, no. 9, pp. 553–559, 2010. View at Publisher · View at Google Scholar · View at Scopus
  7. E. Santoro, “Social media and medical apps: how they can change health communication, education and care,” Recenti Progressi in Medicina, vol. 104, no. 5, pp. 179–180, 2013. View at Google Scholar · View at Scopus
  8. E. Santoro, G. Castelnuovo, I. Zoppis, G. Mauri, and F. Sicurello, “Social media and mobile applications in chronic disease prevention and management,” Frontiers in Psychology, vol. 6, no. 567, 2015. View at Publisher · View at Google Scholar · View at Scopus
  9. V. Chan, P. Ray, and N. Parameswaran, “Mobile e-Health monitoring: an agent-based approach,” IET Communications, vol. 2, no. 2, pp. 223–230, 2008. View at Publisher · View at Google Scholar · View at Scopus
  10. U.-V. Albrecht, “Transparency of health-apps for trust and decision making,” Journal of Medical Internet Research, vol. 15, no. 12, article e277, 2013. View at Publisher · View at Google Scholar · View at Scopus
  11. S. R. Steinhubl, E. D. Muse, and E. J. Topol, “Can mobile health technologies transform health care?” JAMA-Journal of the American Medical Association, vol. 310, no. 22, pp. 2395–2396, 2013. View at Publisher · View at Google Scholar · View at Scopus
  12. S. R. Partridge, K. McGeechan, L. Hebden et al., “Effectiveness of a mHealth lifestyle program with telephone support (TXT2BFiT) to prevent unhealthy weight gain in young adults: randomized controlled trial,” JMIR mHealth and uHealth, vol. 3, no. 2, p. e66, 2015. View at Publisher · View at Google Scholar
  13. M. A. Case, H. A. Burwick, K. G. Volpp, and M. S. Patel, “Accuracy of smartphone applications and wearable devices for tracking physical activity data,” The Journal of the American Medical Association, vol. 313, no. 6, pp. 625–626, 2015. View at Publisher · View at Google Scholar · View at Scopus
  14. M. C. Carter, V. J. Burley, C. Nykjaer, and J. E. Cade, “Adherence to a smartphone application for weight loss compared to website and paper diary: pilot randomized controlled trial.,” Journal of Medical Internet Research, vol. 15, no. 4, article e32, 2013. View at Publisher · View at Google Scholar · View at Scopus
  15. P. Krebs and D. T. Duncan, “Health app use among US mobile phone owners: a national survey,” JMIR mHealth and uHealth, vol. 3, no. 4, article e101, 2015. View at Publisher · View at Google Scholar
  16. S. Hamine, E. Gerth-Guyette, D. Faulx, B. B. Green, and A. S. Ginsburg, “Impact of mHealth chronic disease management on treatment adherence and patient outcomes: a systematic review,” Journal of Medical Internet Research, vol. 17, no. 2, p. e52, 2015. View at Publisher · View at Google Scholar · View at Scopus
  17. J. A. Cafazzo, M. Casselman, N. Hamming, D. K. Katzman, and M. R. Palmert, “Design of an mHealth app for the self-management of adolescent type 1 diabetes: a pilot study,” Journal of Medical Internet Research, vol. 14, no. 3, article E70, 2012. View at Publisher · View at Google Scholar · View at Scopus
  18. O. El-Gayar, P. Timsina, N. Nawar, and W. Eid, “Mobile applications for diabetes self-management: status and potential,” Journal of Diabetes Science and Technology, vol. 7, no. 1, pp. 247–262, 2013. View at Publisher · View at Google Scholar · View at Scopus
  19. Y.-S. Chung, Y. Kim, and C. H. Lee, “Effectiveness of the smart care service for diabetes management,” Healthcare Informatics Research, vol. 20, no. 4, pp. 288–294, 2014. View at Publisher · View at Google Scholar · View at Scopus
  20. B. Holtz and C. Lauckner, “Diabetes management via mobile phones: a systematic review,” Telemedicine and e-Health, vol. 18, no. 3, pp. 175–184, 2012. View at Publisher · View at Google Scholar · View at Scopus
  21. D. Ryan, W. Cobern, J. Wheeler, D. Price, and L. Tarassenko, “Mobile phone technology in the management of asthma,” Journal of Telemedicine and Telecare, vol. 11, supplement 1, pp. 43–46, 2005. View at Publisher · View at Google Scholar · View at Scopus
  22. G. Nasi, M. Cucciniello, and C. Guerrazzi, “The performance of mHealth in cancer supportive care: a research agenda,” Journal of Medical Internet Research, vol. 17, no. 2, article e9, 2015. View at Publisher · View at Google Scholar · View at Scopus
  23. M. H. M. M. T. van Velthoven, S. Brusamento, A. Majeed, and J. Car, “Scope and effectiveness of mobile phone messaging for HIV/AIDS care: a systematic review,” Psychology, Health and Medicine, vol. 18, no. 2, pp. 182–202, 2013. View at Publisher · View at Google Scholar · View at Scopus
  24. B. M. Dala-Ali, M. A. Lloyd, and Y. Al-Abed, “The uses of the iPhone for surgeons,” The Surgeon, vol. 9, no. 1, pp. 44–48, 2011. View at Publisher · View at Google Scholar · View at Scopus
  25. O. I. Franko, “Smartphone apps for orthopaedic surgeons,” Clinical Orthopaedics and Related Research, vol. 469, no. 7, pp. 2042–2048, 2011. View at Publisher · View at Google Scholar · View at Scopus
  26. B. A. Rosser and C. Eccleston, “Smartphone applications for pain management,” Journal of Telemedicine and Telecare, vol. 17, no. 6, pp. 308–312, 2011. View at Publisher · View at Google Scholar · View at Scopus
  27. R. L. Oehler, K. Smith, and J. F. Toney, “Infectious diseases resources for the iPhone,” Clinical Infectious Diseases, vol. 50, no. 9, pp. 1268–1274, 2010. View at Publisher · View at Google Scholar · View at Scopus
  28. E. Årsand, N. Tatara, G. Østengen, and G. Hartvigsen, “Mobile phone-based self-management tools for type 2 diabetes: the few touch application,” Journal of Diabetes Science and Technology, vol. 4, no. 2, pp. 328–336, 2010. View at Publisher · View at Google Scholar · View at Scopus
  29. T. McCurdie, S. Taneva, M. Casselman et al., “The case for user-centered design,” Horizons, 2012. View at Google Scholar
  30. S. G. S. Shah and I. Robinson, “Benefits of and barriers to involving users in medical device technology development and evaluation,” International Journal of Technology Assessment in Health Care, vol. 23, no. 1, pp. 131–137, 2007. View at Publisher · View at Google Scholar · View at Scopus
  31. S. Wolpin and M. Stewart, “A deliberate and rigorous approach to development of patient-centered technologies,” Seminars in Oncology Nursing, vol. 27, no. 3, pp. 183–191, 2011. View at Publisher · View at Google Scholar · View at Scopus
  32. M. Arnhold, M. Quade, and W. Kirch, “Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older,” Journal of Medical Internet Research, vol. 16, no. 4, article e104, 2014. View at Publisher · View at Google Scholar · View at Scopus
  33. S. Saganowski, A. Misiaszek, P. Bródka, A. Andreasson, and A. Curcin, “TRANSFoRm eHealth solution for quality of life monitoring,” in Proceedings of the AMIA Joint Summits on Translational Science, pp. 231–239, 2016.
  34. https://transform.kcl.ac.uk/TRANSFoRmproject.eu/Deliverables_files/D1.1%20Detailed%20Use%20Cases_V2.1-2.pdf.
  35. https://play.google.com/store/apps/details?id=com.transformproject.
  36. https://itunes.apple.com/us/app/transform-project/id985533177.
  37. https://www.transformstudysystem.eu/tss.
  38. A. Monk, P. Wright, J. Haber, and L. Davenport, Improving Your Human-Computer Interface: A Practical Technique, BCS Practitioner, Prentice-Hall, London, UK, 1993.
  39. J. Nielsen and T. K. Landauer, “Landauer: a mathematical model of the finding of usability problems,” in Proceedings of the ACM Conference on Human Factors in Computing Systems (INTERACT '93 and CHI '93), pp. 206–213, Amsterdam, The Netherlands, April 1993. View at Publisher · View at Google Scholar
  40. C. M. Barnum, Usability Testing Essentials: Ready, Set...Test!, Morgan Kaufmann, San Francisco, Calif, USA, 2011.
  41. T. Stewart, “Ergonomics user interface standards: are they more trouble than they are worth?” Ergonomics, vol. 43, no. 7, pp. 1030–1044, 2000. View at Publisher · View at Google Scholar · View at Scopus
  42. A. Poole and L. J. Ball, “Eye tracking in human-computer interaction and usability research: current status and future prospects,” in Encyclopedia of Human Computer Interaction, C. Ghaoui, Ed., pp. 211–219, 2006. View at Google Scholar
  43. M. A. Just and P. A. Carpenter, “A theory of reading: from eye fixations to comprehension,” Psychological Review, vol. 87, no. 4, pp. 329–354, 1980. View at Publisher · View at Google Scholar · View at Scopus
  44. J. H. Goldberg and X. P. Kotval, “Computer interface evaluation using eye movements: methods and constructs,” International Journal of Industrial Ergonomics, vol. 24, no. 6, pp. 631–645, 1999. View at Publisher · View at Google Scholar · View at Scopus
  45. W. Albert, “Do web users actually look at ads? A case study of banner ads and eye-tracking technology,” in Proceedings of the 11th Annual Conference of the Usability Professionals' Association, Orlando, Fla, USA, July 2002.
  46. L. Cowen, An eye movement analysis of web-page usability [M.S. thesis], Lancaster University, Bailrigg, UK, 2001.
  47. R. J. K. Jacob and K. S. Karn, “Eye tracking in human-computer interaction and usability research: ready to deliver the promises,” in The Mind's Eye: Cognitive and Applied Aspects of Eye Movement Research, J. Hyönä, R. Radach, and H. Deubel, Eds., pp. 573–605, Elsevier, Amsterdam, Netherlands, 2003. View at Google Scholar
  48. T. A. Salthouse, “Aging and measures of processing speed,” Biological Psychology, vol. 54, no. 1–3, pp. 35–54, 2000. View at Publisher · View at Google Scholar · View at Scopus
  49. J. Cerella, “Information processing rates in the elderly,” Psychological Bulletin, vol. 98, no. 1, pp. 67–83, 1985. View at Publisher · View at Google Scholar · View at Scopus
  50. J. W. Spooner, S. M. Sakala, and R. W. Baloh, “Effect of aging on eye tracking,” Archives of Neurology, vol. 37, no. 9, pp. 575–576, 1980. View at Publisher · View at Google Scholar · View at Scopus
  51. W. E. Huddleston, B. E. Ernest, and K. G. Keenan, “Selective age effects on visual attention and motor attention during a cued saccade task,” Journal of Ophthalmology, vol. 2014, Article ID 860493, 11 pages, 2014. View at Publisher · View at Google Scholar · View at Scopus
  52. http://www.cdisc.org/study-trial-design.