Advertisement
From the editors' desk| Volume 97, ISSUE 9, P1403-1406, September 2016

Can eHealth Technology Enhance the Patient-Provider Relationship in Rehabilitation?

  • Sophia Wang
    Affiliations
    Department of Psychiatry, Indiana University, Indianapolis, IN

    Center for Health Innovation and Implementation Science, Indianapolis, IN

    Mental Health Service Line, Richard L. Roudebush Veterans Administration Medical Center, Indianapolis, IN
    Search for articles by this author
  • Dan Blazer
    Affiliations
    Department of Psychiatry and Behavior Sciences, Durham Veterans Administration Medical Center, Durham, NC

    Center for the Study of Aging, Durham Veterans Administration Medical Center, Durham, NC
    Search for articles by this author
  • Helen Hoenig
    Correspondence
    Corresponding author Helen Hoenig, MD, MPH, Physical Medicine and Rehabilitation, Durham Veterans Administration Medical Center, 508 Fulton St, Durham, NC 27705.
    Affiliations
    Physical Medicine and Rehabilitation Service, Durham Veterans Administration Medical Center, Durham, NC

    Division of Geriatrics, Department of Medicine, Duke University School of Medicine, Durham, NC
    Search for articles by this author
Published:April 21, 2016DOI:https://doi.org/10.1016/j.apmr.2016.04.002
      Technology has a long history of use in rehabilitation, both for therapeutic interventions (eg, to provide various kinds of exercise or modalities such as ultrasound) and for remediating disability (eg, assistive technology and prosthetic limbs). However, the use of electronic technology is increasingly pervasive in the delivery of health care, including rehabilitation. The term eHealth refers to use of electronic technologies in health care, many of which fall under the broad category of Telehealth. The use of the term eHealth is rapidly evolving, but some eHealth technologies with potential relevance to rehabilitation include videoconferencing, store-and-forward imaging, mobile apps, sensor-based and Internet-based systems for data collection/communication, and algorithmic software to help interpret electronic data (eg, data in the electronic health record and sensor-based data).

      Health Resources and Service Administration. Telehealth. Available at: http://www.hrsa.gov/healthit/telehealth/. Accessed December 12, 2015.

      • Dicianno B.E.
      • Parmanto B.
      • Fairman A.D.
      • et al.
      Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation.

      Keywords

      List of abbreviations:

      CPT (Common Procedural Terminology)
      To read this article in full you will need to make a payment

      Purchase one-time access:

      Academic & Personal: 24 hour online accessCorporate R&D Professionals: 24 hour online access
      One-time access price info
      • For academic or personal research use, select 'Academic and Personal'
      • For corporate R&D use, select 'Corporate R&D Professionals'

      Subscribe:

      Subscribe to Archives of Physical Medicine and Rehabilitation
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

      1. Health Resources and Service Administration. Telehealth. Available at: http://www.hrsa.gov/healthit/telehealth/. Accessed December 12, 2015.

        • Dicianno B.E.
        • Parmanto B.
        • Fairman A.D.
        • et al.
        Perspectives on the evolution of mobile (mHealth) technologies and application to rehabilitation.
        Phys Ther. 2015; 95: 397-405
        • Verghese A.
        Culture shock—patient as icon, icon as patient.
        N Engl J Med. 2008; 359: 2748-2751
        • Street R.L.
        • Liu L.
        • Farber N.J.
        • et al.
        Provider interaction with the electronic health record: the effects on patient-centered communication in medical encounters.
        Patient Educ Counsel. 2014; 96: 315-319
      2. Fox S, Duggan M. Health online 2013. Available at: http://www.pewInternet.org/∼/media/Files/Reports/PIP_HealthOnline.pdf. Accessed May 1, 2015.

        • Lee A.C.
        • Harada N.
        Telehealth as a means of health care delivery for physical therapist practice.
        Phys Ther. 2012; 92: 463-468
        • Lequerica A.H.
        • Kortte K.
        Therapeutic engagement: a proposed model of engagement in medical rehabilitation.
        Am J Phys Med Rehabil. 2010; 89: 415-422
        • Jesus T.S.
        • Silva I.L.
        Toward an evidence-based patient-provider communication in rehabilitation: linking communication elements to better rehabilitation outcomes.
        Clin Rehabil. 2016; 30: 315-328
        • Hall A.M.
        • Ferreira P.H.
        • Maher C.G.
        • Latimer J.
        • Ferreira M.L.
        The influence of the therapist-patient relationship on treatment outcome in physical rehabilitation: a systematic review.
        Phys Ther. 2010; 90: 1099-1100
      3. World Health Organization. International classification of functioning, disability, and health. Available at: http://www3.who.int/icf/icftemplate.cfm. Accessed December 15, 2015.

        • Clemson L.
        • Mackenzie L.
        • Ballinger C.
        • Close J.C.
        • Cumming R.G.
        Environmental interventions to prevent falls in community-dwelling older people a meta-analysis of randomized trials.
        J Aging Health. 2008; 20: 954-971
        • Mann W.C.
        • Ottenbacher K.J.
        • Fraas L.
        • Tomita M.
        • Granger C.V.
        Effectiveness of assistive technology and environmental interventions in maintaining independence and reducing home care costs for the frail elderly: a randomized controlled trial.
        Arch Fam Med. 1999; 8: 210-217
        • Gitlin L.N.
        • Winter L.
        • Dennis M.P.
        • Corcoran M.
        • Schinfeld S.
        • Hauck W.W.
        A randomized trial of a multicomponent home intervention to reduce functional difficulties in older adults.
        J Am Geriatr Soc. 2006; 54: 809-816
        • Gitlin L.N.
        • Levine R.
        • Geiger C.
        Adaptive device use by older adults with mixed disabilities.
        Arch Phys Med Rehabil. 1993; 74: 149-152
        • Fairchild D.G.
        • Hogan J.
        • Smith R.
        • Portnow M.
        • Bates D.W.
        Survey of primary care physicians and home care clinicians.
        J Gen Intern Med. 2002; 17: 253-261
        • Parker E.
        • Zimmerman S.
        • Rodriguez S.
        • Lee T.
        Exploring best practices in home health care: a review of available evidence on select innovations.
        Home Health Care Manage Pract. 2014; 26: 17-33
      4. Cecil G. Sheps Center for Health Services Research, University of North Carolina, Chapel Hill, NC. Health professions per 10,000 population: maps. Available at: http://www.shepscenter.unc.edu/workforce_product/2012-health-professionals-per-10000-population-maps/. Accessed July 1, 2016.

        • Sanford J.A.
        • Griffiths P.C.
        • Richardson P.
        • Hargraves K.
        • Butterfield T.
        • Hoenig H.
        The effects of in-home rehabilitation on task self-efficacy in mobility impaired older adults: a randomized clinical trial.
        J Am Geriatr Soc. 2006; 54: 1641-1648
        • Jackson J.
        • Ely E.W.
        • Morey M.C.
        • et al.
        Cognitive and physical rehabilitation of intensive care unit survivors: results of the RETURN randomized controlled pilot investigation.
        Crit Care Med. 2012; 40: 1088-1097
        • Chumbler N.R.
        • Quigley P.
        • Li X.
        • et al.
        The effects of tele-rehabilitation on physical function and disability for stroke patients: a randomized, controlled trial.
        Stroke. 2012; 43: 2168-2174
        • Bendixen R.M.
        • Levy C.E.
        • Olive E.S.
        • Kobb R.F.
        • Mann W.C.
        Cost effectiveness of a telerehabilitation program to support chronically ill and disabled elders in their homes.
        Telemed J E Health. 2009; 15: 31-38
        • Moffet H.
        • Tousignant M.
        • Nadeau S.
        • et al.
        In-home telerehabilitation compared with face-to-face rehabilitation after total knee arthroplasty.
        J Bone Joint Surg Am. 2015; 97: 1129-1141
        • Tousignant M.
        • Giguère A.M.
        • Morin M.
        • Pelletier J.
        • Sheehy A.
        • Cabana F.
        In-home telerehabilitation for proximal humerus fractures: a pilot study.
        Int J Telerehabil. 2014; 6: 31-37
        • Baker T.A.
        • Wang C.C.
        Photovoice: use of a participatory action research method to explore the chronic pain experience in older adults.
        Qual Health Res. 2006; 16: 1405-1413
        • Berland G.
        The view from the other side—patients, doctors, and the power of a camera.
        N Engl J Med. 2007; 357: 2533-2536
        • Galea M.
        • Tumminia J.
        • Garback L.M.
        Telerehabilitation in spinal cord injury persons: a novel approach.
        Telemed J E Health. 2006; 12: 160-162
        • Harada N.D.
        • Dhanani S.
        • Elrod M.
        • Hahn T.
        • Kleinman L.
        • Fang M.
        Feasibility study of home telerehabilitation for physically inactive veterans.
        J Rehabil Res Dev. 2010; 47: 465-475
        • Geirish J.M.
        • Goode A.P.
        • Batch B.C.
        • et al.
        The impact of wearable motion sensing technologies on physical activity: a systematic review.
        U.S. Dept of Veterans Affairs, Health Services Research & Development Service, Washington (DC)2015 (VA ESP Project #09-009)
        • Kao D.P.
        • Lindenfeld J.
        • Macaulay D.
        • et al.
        Impact of a Telehealth and care management program on all-cause mortality and healthcare utilization in patients with heart failure.
        Telemed J E Health. 2016; 22: 2-11
        • Salonen A.
        • Ryhänen A.M.
        • Leino-Kilpi H.
        Educational benefits of Internet and computer-based programmes for prostate cancer patients: a systematic review.
        Patient Educ Counsel. 2014; 94: 10-19
      5. Aitken M, Gauntlett C. Patient apps for improved healthcare: from novelty to mainstream. Available at: http://www.imshealth.com/en/thought-leadership/ims-institute/reports/patient-apps-for-improved-healthcare. Accessed December 11, 2015.

        • Ahmed O.H.
        The smartphone app ‘Rotator Cuff Injury/Strain’ by Medical iRehab.
        Br J Sports Med. 2015 Oct 16; ([Epub ahead of print])
        • How T.V.
        • Chee J.
        • Wan E.
        • Mihailidis A.
        Mywalk: a mobile app for gait asymmetry rehabilitation in the community.
        in: Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare. 2013: 73-76
      6. Wai AA, Duc PD, Syin C, Haihong Z. iBEST: intelligent balance assessment and stability training system using smartphone. In: 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC’14); 2014 Aug 26–30; Chicago (IL). p 3683-6.

        • Milani P.
        • Coccetta C.A.
        • Rabini A.
        • Sciarra T.
        • Massazza G.
        • Ferriero G.
        Mobile smartphone applications for body position measurement in rehabilitation: a review of goniometric tools.
        PMR. 2014; 6: 1038-1043
        • Weingardt K.R.
        • Greene C.J.
        New electronic tools for veterans.
        N C Med J. 2015; 76: 332-334
        • Kuehn B.M.
        Is there an app to solve app overload?.
        JAMA. 2013; 313: 1405-1407
        • van Mechelen D.M.
        • Van Mechelen W.
        • Verhagen E.A.
        Sports injury prevention in your pocket?! Prevention apps assessed against the available scientific evidence: a review.
        Br J Sports Med. 2014; 48: 878-882
        • Hollands K.L.
        • Pelton T.A.
        • Tyson S.F.
        • Hollands M.A.
        • van Vliet P.M.
        Interventions for coordination of walking following stroke: systematic review.
        Gait Posture. 2012; 35: 349-359
        • Sawers A.
        • Hahn M.E.
        • Kelly V.E.
        • Czerniecki J.M.
        • Kartin D.
        Beyond componentry: how principles of motor learning can enhance locomotor rehabilitation of individuals with lower limb loss—a review.
        J Rehabil Res Dev. 2012; 49: 1431-1442
        • Keating A.
        • Lee A.
        • Holland A.E.
        What prevents people with chronic obstructive pulmonary disease from attending pulmonary rehabilitation? A systematic review.
        Chronic Respir Dis. 2011; 8: 89-99
        • Davies P.
        • Taylor F.
        • Beswick A.
        • et al.
        Promoting patient uptake and adherence in cardiac rehabilitation.
        Cochrane Database Syst Rev. 2010; : CD007131
        • Kelders S.M.
        • Kok R.N.
        • Ossebaard H.C.
        • Van Gemert-Pijnen J.E.
        Persuasive system design does matter: a systematic review of adherence to web-based interventions.
        J Med Internet Res. 2012; 14: e152
      7. Munson SA, Consolvo S. Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity. In: 6th International Conference on Pervasive Computing Technologies for Healthcare (PervasiveHealth 2012); 2012 May 21–24; San Diego (CA). p 25-32.

      8. Klasnja P, Consolvo S, McDonald DW, Landay JA, Pratt W. Using mobile & personal sensing technologies to support health behavior change in everyday life: lessons learned. In: AMIA Annual Symposium Proceedings; 2009. p 338-42.

        • Antypas K.
        • Wangberg S.C.
        E-Rehabilitation—an Internet and mobile phone based tailored intervention to enhance self-management of cardiovascular disease: study protocol for a randomized controlled trial.
        BMC Cardiovasc Disord. 2012; 12: 50
        • Antypas K.
        • Wangberg S.C.
        An Internet- and mobile-based tailored intervention to enhance maintenance of physical activity after cardiac rehabilitation: short-term results of a randomized controlled trial.
        J Med Internet Res. 2014; 16: e77
        • Martínez-Pérez B.
        • De La Torre-Díez I.
        • López-Coronado M.
        Privacy and security in mobile health apps: a review and recommendations.
        J Med Syst. 2015; 39: 1-8
        • Lumpkin J.R.
        e-Health, HIPAA, and beyond.
        Health Aff (Millwood). 2000; 19: 149
      9. Health Resources and Services Administration. What are the reimbursement issues for Telehealth? Available at: http://www.hrsa.gov/healthit/toolbox/RuralHealthITtoolbox/Telehealth/whatarethereimbursement.html. Accessed August 4, 2016.

      10. Centers for Medicare and Medicaid Services. Telehealth. Available at: https://www.cms.gov/Medicare/Medicare-General-information/telehealth/. Accessed August 4, 2016.

      11. American Telemedicine Association. Update on CMS payment decision—two steps forward, one back. Available at: http://www.americantelemed.org/news-landing/2014/11/07/update-on-cms-payment-decisions–-two-steps-forward-one-back#.VwPYWDZf2Uk. Accessed August 4, 2016.

      12. U.S. Department of Veterans Affairs. VA Telehealth services. Available at: http://www.telehealth.va.gov/. Accessed December 28, 2015.

      13. U.S. Department of Veterans Affairs. VA mobile health. Available at: https://mobile.va.gov/. Accessed December 28, 2015.

      14. American Telemedicine Association. ATA State Telemedicine Toolkit: improving access to covered services for telemedicine. Available at: http://www.americantelemed.org/docs/default-source/policy/ata-state-telemedicine-toolkit–-coverage-and-reimbursement.pdf?sfvrsn=4. Accessed August 4, 2016.

      15. Center for Connected Health Policy. Telehealth Medicaid & state policy. Available at: http://cchpca.org/telehealth-medicaid-state-policy. Accessed August 4, 2016.

        • Forducey P.G.
        • Glueckauf R.L.
        • Bergquist T.F.
        • Maheu M.M.
        • Yutsis M.
        Telehealth for persons with severe functional disabilities and their caregivers: facilitating self-care management in the home setting.
        Psychol Serv. 2012; 9: 144-162
        • Kilbourne A.M.
        • Neumann M.S.
        • Pincus H.A.
        • Bauer M.S.
        • Stall R.
        Implementing evidence-based interventions in health care: application of the replicating effective programs framework.
        Implement Sci. 2007; 2: 1-10
        • Grol R.
        • Grimshaw J.
        From best evidence to best practice: effective implementation of change in patients’ care.
        Lancet. 2003; 362: 1225-1230