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Mobile Health Technology in Transplantation

  • James N. Fleming
  • John W. McGillicuddy
  • Frank A. Treiber
Chapter

Abstract

Mobile health (mHealth) technology encompasses a wide range of potential clinical tools, with end-users ranging from the individual patient to national healthcare systems. This chapter focuses on mHealth with the patient as the end-user. It describes mHealth applications studied within solid organ transplant, as well as applications that have been used in non-transplant patients with chronic diseases common in transplant. It also provides an overview of fundamental necessities for successful mHealth systems and provides a roadmap to addressing current barriers to widespread study and implementation of mHealth.

References

  1. 1.
    Fradgley, E. A., Paul, C. L., & Bryant, J. (2015). A systematic review of barriers to optimal outpatient specialist services for individuals with prevalent chronic diseases: What are the unique and common barriers experienced by patients in high income countries? International Journal for Equity in Health, 14, 52.CrossRefPubMedPubMedCentralGoogle Scholar
  2. 2.
    World Health Organization. (2011). mHealth: New horizons for health through mobile technologies – Based on the findings of the second global survey on eHealth (Global Observatory for eHealth series). Geneva, Switzerland.Google Scholar
  3. 3.
    Flodgren, G., Rachas, A., Farmer, A. J., Inzitari, M., & Shepperd, S. (2015). Interactive telemedicine: effects on professional practice and health care outcomes. Cochrane Database of Systematic Reviews, Issue 9. Art. No.: CD002098.Google Scholar
  4. 4.
    Foucher, Y., Meurette, A., Daguin, P., et al. (2015). A personalized follow-up of kidney transplant recipients using video conferencing based on a 1-year scoring system predictive of long term graft failure (TELEGRAFT study): Protocol for a randomized controlled trial. BMC Nephrology, 16, 6.CrossRefPubMedPubMedCentralGoogle Scholar
  5. 5.
    Winsett, R. P., Thompson, D., Gower, G., & Gaber, A. O. (2006). Introducing telemedicine into a transplant outpatient clinic. Journal of Telemedicine and Telecare, 12(4), 215–216.CrossRefPubMedGoogle Scholar
  6. 6.
    Kreuzer, M., Prufe, J., Bethe, D., et al. (2014). The TRANSNephro-study examining a new transition model for post-kidney transplant adolescents and an analysis of the present health care: Study protocol for a randomized controlled trial. Trials, 15, 505.CrossRefPubMedPubMedCentralGoogle Scholar
  7. 7.
    McKenzie, R. B., Berquist, W. E., Foley, M. A., Park, K. T., Windsheimer, J. E., & Litt, I. F. (2015). Text messaging improves participation in laboratory testing in adolescent liver transplant patients. Journal of Participatory Medicine, 7, 1–15.Google Scholar
  8. 8.
    Yoon, H. J., Guo, H., Hertz, M., & Finkelstein S. (2008). Adherence to home-monitoring and its impact on survival in post-lung transplantation patients. American Medical Informatics Association Annual Symposium Proceedings (pp. 835–838).Google Scholar
  9. 9.
    McGillicuddy, J. W., Gregoski, M. J., Weiland, A. K., et al. (2013). Mobile health medication adherence and blood pressure control in renal transplant recipients: A proof-of-concept randomized controlled trial. JMIR Res Protoc., 2(2), e32. doi: 10.2196/resprot.2633.CrossRefPubMedPubMedCentralGoogle Scholar
  10. 10.
    McGillicuddy, J. W., Taber, D. J., Mueller, M., et al. (2015). Sustainability of improvements in medication adherence through a mobile health intervention. Progress in Transplantation, 25(3), 217–223.CrossRefPubMedGoogle Scholar
  11. 11.
    Ertel, A. E., Kaiser, T., & Shah, S. A. (2015). Using telehealth to enable patient-centered care for liver transplantation. JAMA Surgery, 150(7), 674–675.CrossRefPubMedGoogle Scholar
  12. 12.
    Gillis, K. A., Patel, R. K., & Jardine, A. G. (2014). Cardiovascular complications after transplantation: Treatment options in solid organ recipients. Transplantation Reviews (Orlando, Fla.), 28(2), 47–55.CrossRefGoogle Scholar
  13. 13.
    Bulter, J. A., Roderick, P., Mullee, M., Mason, J. C., & Peveler, R. C. (2004). Frequency and impact of nonadherence to immunosuppressants after renal transplantation: A systematic review. Transplantation, 77(5), 769–776.CrossRefGoogle Scholar
  14. 14.
    Mazzaglia, G., Ambrosioni, E., Alacqua, M., et al. (2009). Persistence to antihypertensive medications and cardiovascular morbidity among newly diagnosed hypertensive patients. Circulation, 120, 1598–1605.CrossRefPubMedGoogle Scholar
  15. 15.
    Bohm, M., Schumacher, H., Laufs, U., et al. (2013). Effects of nonpersistence with medication on outcomes in high-risk patients with cardiovascular disease. American Heart Journal, 166(2), 306–314.CrossRefPubMedGoogle Scholar
  16. 16.
    Heldenbrand, S., Martin, B. C., Gubbins, P. O., et al. (2016). Assessment of medication adherence app features, functionality, and health literacy level and the creation of a searchable web-based adherence app resource for health care professionals and patients. Journal of the American Pharmaceutical Association, 2016, 56(3), 29–302.CrossRefPubMedGoogle Scholar
  17. 17.
    Lelubre, M., Kamal, S., Genre, N., et al. (2015). Interdisciplinary medication adherence program: The example of a university community pharmacy in Switzerland. BioMed Research International, 2015, 103546.CrossRefPubMedGoogle Scholar
  18. 18.
    Belknap, R., Weis, S., Brookens, A., et al. (2013). Feasibility of an ingestible sensor-based system for monitoring adherence to tuberculosis therapy. PLoS One, 8(1), e53373.CrossRefPubMedPubMedCentralGoogle Scholar
  19. 19.
    Sieverdes, J. C., Nemeth, L. S., Magwood, G. S., et al. (2015). Patient-centered mHealth living donor transplant education program for African Americans: Development and analysis. JMIR Res Protoc., 4(3), e84.CrossRefPubMedPubMedCentralGoogle Scholar
  20. 20.
    McManus, R. J., Mant, J., Haque, M. S., et al. (2014). Effect of self-monitoring and medication self-titration on systolic blood pressure in hypertensive patients at high risk of cardiovascular disease: The TASMIN-SR randomized clinical trial. Journal of the American Medical Association, 312(8), 799–808.CrossRefPubMedGoogle Scholar
  21. 21.
    Magid, D. J., Olson, K. L., Billups, S. J., Wagner, N. M., Lyons, E. E., & Kroner, B. A. (2013). A pharmacist-led, American Heart Association Heart360 Web-enabled home blood pressure monitoring program. Circulation. Cardiovascular Quality and Outcomes, 6(2), 157–163.CrossRefPubMedGoogle Scholar
  22. 22.
    Margollis, K. L., Asche, S. E., Bergdall, A. R., et al. (2013). Effect of home blood pressure telemonitoring and pharmacist management on blood pressure control: A cluster randomized clinical trial. Journal of the American Medical Association, 310(1), 46–56.CrossRefGoogle Scholar
  23. 23.
    Davidson, T. M., McGillicuddy, J., Mueller, M., et al. (2015). Evaluation of an mHealth medication regimen self-management program for African American and Hispanic uncontrolled hypertensives. J Pers Med., 5(4), 389–405.CrossRefPubMedPubMedCentralGoogle Scholar
  24. 24.
    Ramachandran, A., Snehalatha, C., Ram, J., et al. (2013). Effectiveness of mobile phone messaging in prevention of type 2 diabetes by lifestyle modification in men in India: A prospective, parallel-group, randomized controlled trial. The Lancet Diabetes and Endocrinology, 1(3), 191–198.CrossRefPubMedGoogle Scholar
  25. 25.
    Quinn, C. C., Clough, S. S., Minor, J. M., Lender, D., Okafor, M. C., & Gruber-Baldini, A. (2008). WellDoc mobile diabetes management randomized controlled trial: Change in clinical and behavioral outcomes and patient and physician satisfaction. Diabetes Technology & Therapeutics, 10(3), 160–168.CrossRefGoogle Scholar
  26. 26.
    Holmen, H., Torbjornsen, A., Wahl, A. K., et al. (2014). A mobile health intervention for self-management and lifestyle change for persons with type 2 diabetes, part 2: One-year results from the Norwegian randomized controlled trial RENEWING HEALTH. JMIR Mhealth Uhealth, 2(4), e57.CrossRefPubMedPubMedCentralGoogle Scholar
  27. 27.
    Koehler, F., Winkler, S., Schieber, M., et al. (2011). Impact of remote telemedical management on mortality and hospitalizations in ambulatory patients with chronic heart failure: The telemedical interventional monitoring in heart failure study. Circulation, 123(17), 1873–1880.CrossRefPubMedGoogle Scholar
  28. 28.
    Weintraub, A., Gregory, D., Patel, A. R., et al. (2010). A multicenter randomized controlled evaluation of automated home monitoring and telephonic disease management in patients recently hospitalized for congestive heart failure: The SPAN-CHF II trial. Journal of Cardiac Failure, 16(4), 285–292.CrossRefPubMedGoogle Scholar
  29. 29.
    Bekelman, D. B., Plomondon, M. E., Carey, E. P., et al. (2015). Primary results of the patient-centered disease management (PCDM) for heart failure study: A randomized clinical trial. JAMA Internal Medicine, 175(5), 725–732.CrossRefPubMedGoogle Scholar
  30. 30.
    Steventon, A., Bardsley, M., Billings, J., et al. (2012). Effect of telehealth on use of secondary care and mortality: Findings from the whole system demonstrator cluster randomised trial. BMJ, 344, e3874.CrossRefPubMedPubMedCentralGoogle Scholar
  31. 31.
    Greving, J. P., Kaasjager, H. A., Vernooij, J. W., et al. (2015). Cost-effectiveness of a nurse-led internet-based vascular risk factor management programme: Economic evaluation alongside a randomised controlled clinical trial. BMJ Open, 5(5), e007128.CrossRefPubMedPubMedCentralGoogle Scholar
  32. 32.
    Chow, C. K., Redfern, J., Hillis, G. S., et al. (2015). Effect of lifestyle-focused text messaging on risk factor modification in patients with coronary heart disease: A randomized clinical trial. Journal of the American Medical Association, 314(12), 1255–1263.CrossRefPubMedGoogle Scholar
  33. 33.
    Free, C., Knight, R., Robertson, S., et al. (2011). Smoking cessation support delivered via mobile phone text messaging (txt2stop): A single-blind, randomised trial. Lancet, 378, 49–55.CrossRefPubMedPubMedCentralGoogle Scholar
  34. 34.
    Fan, P. Y., Ashby, V. B., Fuller, D. S., et al. (2010). Access and outcomes among minority transplant patients, 1999–2008, with a focus on determinants in kidney graft survival. American Journal of Transplantation, 10, 1090–1107.CrossRefPubMedPubMedCentralGoogle Scholar
  35. 35.
    Andreoni, K. A., Forbes, R., Andreoni, R. M., Phillips, G., Stewart, H., & Ferris, M. (2013). Age-related kidney transplant outcomes: Health disparities amplified in adolescence. JAMA Internal Medicine, 173(16), 1524–1532.CrossRefPubMedGoogle Scholar
  36. 36.
    Davies, R. R., Russo, M. J., Reinhartz, O., et al. (2013). Lower socioeconomic status is associated with worse outcomes after both listing and transplanting children with heart failure. Pediatric Transplantation, 17(6), 573–581.CrossRefPubMedGoogle Scholar
  37. 37.
    Axelrod, D. A., Dzebisashvili, N., Schnitzler, M. A., et al. (2010). The interplay of socioeconomic status, distance to center, and interdonor service area travel on kidney transplant access and outcomes. Clinical Journal of the American Society of Nephrology, 5(12), 2276–2288.CrossRefPubMedPubMedCentralGoogle Scholar
  38. 38.
    Barritt, A. S., 4th, Telloni, S. A., Potter, C. W., Gerber, D. A., & Hayashi, P. H. (2013). Local access to subspecialty care influences the chance of receiving a liver transplant. Liver Transplantation, 19(4), 377–382.CrossRefPubMedGoogle Scholar
  39. 39.
    Smith A. U.S. smartphone use in 2015. www.pewinternet.org/2015/04/01/us-smartphone-use-in-2015/. Published April 1, 2015. Accessed 8 Apr 2016.
  40. 40.
    McGillicuddy, J. W., Weiland, A. K., Frezel, R. M., et al. (2013). Patient attitudes toward mobile phone-based health monitoring: Questionnaire study among kidney transplant recipients. Journal of Medical Internet Research, 15(1), e6.CrossRefPubMedPubMedCentralGoogle Scholar
  41. 41.
    Kesavadev, J., Shankar, A., Pillai, P. B., Krishnan, G., & Jothydev, S. (2012). Cost-effective use of telemedicine and self-monitoring of blood glucose via diabetes Tele management system (DTMS) to achieve a target glycosylated hemoglobin values without serious symptomatic hypoglycemia in 1,000 subjects with type 2 diabetes mellitus – A retrospective study. Diabetes Technology & Therapeutics, 14(9), 772–776.CrossRefGoogle Scholar
  42. 42.
    Kim, H. G., Ahn, M. E., Choi, Y. A., et al. (2015). Fifteen-year experience with telemedicine services in Gangwon Province in Korea. Healthc Inform Res., 21(4), 283–291.CrossRefPubMedPubMedCentralGoogle Scholar
  43. 43.
    Deng, L., White, A. S., Pawlowska, M., et al. (2015). Cost-benefit analysis of internet therapeutic intervention on patients with diabetes. Int J Endocrin Metab., 13(2), e22803.CrossRefGoogle Scholar
  44. 44.
    de la Torre-Diez, I., Lopez-Coronado, M., Vaca, C., Aguado, J. S., & de Castro, C. (2015). Cost-utility and cost-effectiveness studies of telemedicine, electronic, and mobile health systems in the literature: A systematic review. Telemedicine Journal and E-Health, 21(2), 81–85.CrossRefPubMedPubMedCentralGoogle Scholar
  45. 45.
    de Jongh, T., Gurol-Urganci, I., Vodopivec-Jamsek, V., Car, J, & Atun, R. (2012). Mobile phone messaging for facilitating self-management of long-term illness. Cochrane Database Systematic Reviews, (12), CD007459.Google Scholar
  46. 46.
    Reddy, M. S., Bhati, C., Neil, D., Mirza, D. F., & Manas, D. M. (2008). National organ retrieval imaging system: Results of the pilot study. Transplant International, 21(11), 1036–1044.PubMedGoogle Scholar
  47. 47.
    Bhati, C. S., Wigmore, S. J., Reddy, S., et al. (2010). Web-based image transmission: A novel approach to aid communication in split liver transplantation. Clinical Transplantation, 24(1), 98–103.CrossRefPubMedGoogle Scholar
  48. 48.
    Nundy, S., Razi, R., Dick, J. J., et al. (2013). A text messaging intervention to improve heart failure self-management after hospital discharge in a largely African American population. Journal of Medical Internet Research, 15(3), e53.CrossRefPubMedPubMedCentralGoogle Scholar
  49. 49.
    Dick, J. J., Nundy, S., Solomon, M. C., Bishop, K. N., Chin, M. H., & Peek, M. E. (2011). Feasibility and usability of text message-based program for diabetes self-management in an urban African American population. Journal of Diabetes Science and Technology, 5(5), 1246–1254.CrossRefPubMedPubMedCentralGoogle Scholar
  50. 50.
    Sieverdes, J. C., Gregoski, M., Patel, S., et al. (2013). mHealth medication and blood pressure self-management program in Hispanic hypertensives: A proof of concept trial. Smart Homecare Technol. TeleHealth., 1, 1–10.CrossRefGoogle Scholar
  51. 51.
    McGillicuddy, J., Gregoski, M., Brunner-Jackson, B., et al. (2012). Facilitating medication adherence and eliminating therapeutic inertia using wireless technology: proof-of-concept findings with uncontrolled hypertensives and kidney transplant recipients. In Proceedings of the Conference on Wireless Health, New York, HY, USA, doi: 10.1145/2448096.2448108.
  52. 52.
    Heldenbrand, S., Martin, B. C., Gubbins, P. O., et al. (2016). Assessment of medication adherence app features, functionality, and health literacy level and the creation of a searchable web-based adherence app resource for health care professionals and patients. Journal of the American Pharmaceutical Association, 56(3), 293–302.CrossRefGoogle Scholar
  53. 53.
    Dayer, L., Heldenbrand, S., Anderson, P., Gubbins, P. O., & Martin, B. C. (2003). Smartphone medication adherence apps: Potential benefits to patients and providers. Journal of the American Pharmaceutical Association, 53(2), 172–181.CrossRefGoogle Scholar
  54. 54.
    Tarakji, D. G., Wazni, O. M., Callahan, T., et al. (2015). Using a novel wireless system for monitoring patients after the atrial fibrillation ablation procedure: The iTransmit study. Heart Rhythm, 12(3), 554–559.CrossRefPubMedGoogle Scholar
  55. 55.
    Theilade, S., Hansen, T. W., Joergensen, C., Lajer, M., & Rossing, P. (2013). Tonometric devices for central aortic systolic pressure measurements in patients with type 1 diabetes: Comparison of the BPro and SphygmoCor devices. Blood Pressure Monitoring, 18(3), 156–160.CrossRefPubMedGoogle Scholar
  56. 56.
    Nakamura, K., & Balo, A. (2015). The accuracy and efficacy of the Dexcom G4 platinum continuous glucose monitoring system. Journal of Diabetes Science and Technology, 9(5), 1021–1026.CrossRefPubMedPubMedCentralGoogle Scholar
  57. 57.
    Diwei, H., Morgan, S. P., Trachanis, D., et al. (2015). A single-chip CMPS pulse oximeter with on-chip lock-in detection. Sensors, 15, 17076–17088.CrossRefGoogle Scholar
  58. 58.
    Singh, S., Bansal, M., Maheshwari, P., et al. (2013). American Society of Echocardiography: Remote echocardiography with web-based assessments for referrals at a distance (ASE-REWARD) study. Journal of the American Society of Echocardiography, 26(3), 221–233.CrossRefPubMedGoogle Scholar
  59. 59.
    Abraham, W. T., Adamson, P. B., Bourge, R. C., et al. (2011). Wireless pulmonary artery haemodynamic monitoring in chronic heart failure: A randomized controlled trial. Lancet, 377(9766), 658–666.CrossRefPubMedGoogle Scholar
  60. 60.
    Sandhu, A. T., Goldhaber-Fiebert, J. D., Owens, D. K., Turakhia, M. P., Kaiser, D. W., & Heidenriech, P. A. (2016). Cost-effectiveness of implantable pulmonary artery pressure monitoring in chronic heart failure. JACC Heart Fail., S2213-1779(15), 00838-0. doi: 10.1016/j.jchf.2015.12.015.CrossRefGoogle Scholar
  61. 61.
    Au-Yeung, K. Y., & DiCarlo, L. (2012). Cost comparison of wirelessly vs directly observed therapy for adherence confirmation in anti-tuberculosis treatment. The International Journal of Tuberculosis and Lung Disease, 16(11), 1498–1504.CrossRefPubMedGoogle Scholar
  62. 62.
    Seto, E., Leonard, K. J., Masino, C., Cafazzo, J. A., Barnsley, J., & Ross, H. J. (2010). Attitudes of heart failure patients and health care providers towards mobile phone-based remote monitoring. Journal of Medical Internet Research, 12(4), e55.CrossRefPubMedPubMedCentralGoogle Scholar
  63. 63.
    Gagnon, M. P., Ngangue, P., Payne-Gagnon, P., & Desmartis, M. (2016). M-health adoption by healthcare professionals: A systematic review. Journal of the American Medical Informatics Association, 23, 212–220.CrossRefPubMedGoogle Scholar
  64. 64.
    Bhavnani, S. P., Narula, J., & Sengupta, P. P. (2016). Mobile technology and the digitization of healthcare. European Heart Journal. epublished ahead of print.Google Scholar
  65. 65.
    Mattila, E., Orsama, A. L., Ahtinen, A., Hopsu, L., Leino, T., & Korhonen, I. (2013). Personal health technologies in employee health promotion: Usage activity, usefulness, and health-related outcomes in a 1-year randomized controlled trial. JMIR Mhealth Uhealth, 1(2), e16.CrossRefPubMedPubMedCentralGoogle Scholar
  66. 66.
    Sinsky, C. A., Beasley, J. W., Simmons, G. E., et al. (2014). Electronic health records: Design, implementation, and policy for higher-value primary care. Annals of Internal Medicine, 160, 727–728.CrossRefPubMedGoogle Scholar
  67. 67.
    Babbott, S., Manwell, L. B., Brown, R., et al. (2014). Electronic medical records and physician stress in primary care: Results from the MEMO study. Journal of the American Medical Informatics Association, 21, e100–e106.CrossRefPubMedGoogle Scholar
  68. 68.
    Adler-Milstein, J., & Huckman, R. S. (2013). The impact of electronic health record use on physician productivity. The American Journal of Managed Care, 19, SP345–SP352.PubMedGoogle Scholar
  69. 69.
    Davis, M. M., Freeman, M., Kaye, J., Vuckovic, N., & Buckley, D. L. (2014). A systematic review of clinician and staff views on the acceptability of incorporating remote monitoring technology into primary care. Telemedicine and eHealth., 20(5), 428–438.CrossRefGoogle Scholar
  70. 70.
    Spiegel, B. (2015). American Journal of gastroenterology lecture: How digital health will transform gastroenterology. The American Journal of Gastroenterology. 2016. epub ahead of print.Google Scholar
  71. 71.
    USDHHS FDA. Mobile Medical Applications: Guidance for industry and food and drug administration staff. http://www.fda.gov/downloads/MedicalDevices/DeviceRegulationandGuidance/GuidanceDocuments/UCM263366.pdf. February 9, 2015. Accessed 20 Apr 2016.
  72. 72.
  73. 73.
    Obreli-Neto, P. R., Marusic, S., Guidoni, C. M., et al. (2015). Economic evaluation of a pharmaceutical care program for elderly and hypertensive patients in primary health care: A 36-month randomized controlled clinical trial. J Manag Care Spec Pharm., 21(1), 66–75.Google Scholar
  74. 74.
    Yu, J., Shah, B. M., Ip, E. J., & Chan, J. (2013). A Markov model of the cost-effectiveness of pharmacist care for diabetes in prevention of cardiovascular diseases: Evidence from Kaiser Permanente Northern California. Journal of Managed Care Pharmacy, 19(2), 102–114.CrossRefPubMedGoogle Scholar
  75. 75.
    Pousinho, S., Morgado, M., Falcao, A., & Alves, G. (2016). Pharmacist interventions in the management of type 2 diabetes mellitus: A systematic review of randomized controlled trials. Journal of Managed Care Pharmacy, 22(5), 493–515.CrossRefGoogle Scholar

Copyright information

© Springer International Publishing AG, part of Springer Nature 2017

Authors and Affiliations

  • James N. Fleming
    • 1
  • John W. McGillicuddy
    • 1
  • Frank A. Treiber
    • 1
  1. 1.Medical University of South CarolinaCharlestonUSA

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