Delivering Telemonitoring Care to Digitally Disadvantaged Older Adults: Human-Computer Interaction (HCI) Design Recommendations

Although telemonitoring has promise in improving care delivery and reducing unnecessary health care costs, the recent years have witnessed growing interest in identifying and resolving barriers to engagement, participation, and spreading of telemonitoring service programs among digitally disadvantaged populations. Based on a review of three key conceptual perspectives relevant to the problem of the digital divide, specific issues concerning technological acceptance, human resources development, and collaboration with service systems are described. Major strategies and policy implications are discussed with regard to HCI design considerations for telemonitoring of medical and aging conditions of the target population, integration of the telemonitoring service into the existing clinical and social context, and development of reimbursement policy that supports not only service use but also access to technology services and additional training for effective use of the technology.

[1]  Simon Stewart,et al.  Structured telephone support or telemonitoring programmes for patients with chronic heart failure , 2010, The Cochrane database of systematic reviews.

[2]  Izak Benbasat,et al.  Quo vadis TAM? , 2007, J. Assoc. Inf. Syst..

[3]  H. Krumholz,et al.  Telemonitoring in patients with heart failure. , 2010, The New England journal of medicine.

[4]  Richard J. Holden,et al.  The Technology Acceptance Model: Its past and its future in health care , 2010, J. Biomed. Informatics.

[5]  Amy K. Yarbrough,et al.  Technology Acceptance among Physicians , 2007, Medical care research and review : MCRR.

[6]  H. Vrijhoef,et al.  Implementing Telemonitoring in Heart Failure Care: Barriers from the Perspectives of Patients, Healthcare Professionals and Healthcare Organizations , 2013, Current Heart Failure Reports.

[7]  Richard P. Bagozzi,et al.  The Legacy of the Technology Acceptance Model and a Proposal for a Paradigm Shift , 2007, J. Assoc. Inf. Syst..

[8]  N. Choi,et al.  The Digital Divide Among Low-Income Homebound Older Adults: Internet Use Patterns, eHealth Literacy, and Attitudes Toward Computer/Internet Use , 2013, Journal of medical Internet research.

[9]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[10]  Richard W. Grant,et al.  Impact of Home-Based Monitoring on the Care of Patients with Congestive Heart Failure , 2006 .

[11]  Susan S. Woods,et al.  Barriers and drivers of health information technology use for the elderly, chronically ill, and underserved. , 2008, Evidence report/technology assessment.

[12]  Timothy W. Bickmore,et al.  The Role of Information Technology in Health Literacy Research , 2012, Journal of health communication.

[13]  Eszter Hargittai,et al.  Second-Level Digital Divide: Differences in People's Online Skills , 2002, First Monday.

[14]  Susan L. Gatto,et al.  Computer, Internet, and E-mail Use Among Older Adults: Benefits and Barriers , 2008 .

[15]  E. Rogers Diffusion of Innovations , 1962 .

[16]  C. Pedone,et al.  Telemonitoring in older adults: does one size fit all? , 2012, Archives of internal medicine.

[17]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[18]  Michael Workman,et al.  Advancements in technologies: new opportunities to investigate factors contributing to differential technology and information use , 2007 .

[19]  Nicholas R. Hardiker,et al.  Barriers and facilitators that affect public engagement with eHealth services , 2010, MedInfo.

[20]  Sara J. Czaja,et al.  The impact of aging on access to technology , 2005, ASAC.

[21]  D. Mahoney,et al.  An Evidence-Based Adoption of Technology Model for Remote Monitoring of Elders’ Daily Activities , 2011, Ageing international.

[22]  Akshay S. Desai,et al.  Home Monitoring Heart Failure Care Does Not Improve Patient Outcomes: Looking Beyond Telephone-Based Disease Management , 2012, Circulation.

[23]  A. de Silvestri,et al.  A meta-analysis of remote monitoring of heart failure patients. , 2009, Journal of the American College of Cardiology.

[24]  Lynn Redington,et al.  The ADOPT Model: Accelerating Diffusion of Proven Technologies for Older Adults , 2011 .

[25]  M. Walsh,et al.  Randomized trial of a daily electronic home monitoring system in patients with advanced heart failure: the Weight Monitoring in Heart Failure (WHARF) trial. , 2003, American heart journal.

[26]  Hyeoun-Ae Park,et al.  Development of a Health Information Technology Acceptance Model Using Consumers’ Health Behavior Intention , 2012, Journal of medical Internet research.

[27]  B. Compaine The Digital Divide : Facing a Crisis or Creating a Myth? , 2001 .

[28]  Barbara Crump,et al.  The digital divide: Why the "don't-wants-tos" won't compute: Lessons from a New Zealand ICT project , 2003, First Monday.

[29]  Ben-Tzion Karsh,et al.  Review Paper: A Systematic Review of Patient Acceptance of Consumer Health Information Technology , 2009, J. Am. Medical Informatics Assoc..

[30]  Malcolm Clarke,et al.  Systematic review of studies on telemonitoring of patients with congestive heart failure: a meta-analysis , 2011, Journal of telemedicine and telecare.

[31]  R. Darin Ellis,et al.  Modeling Computer Interest in Older Adults: The Role of Age, Education, Computer Knowledge, and Computer Anxiety , 1999, Hum. Factors.

[32]  Bernhard Wolf,et al.  Innovation Barriers for Telemonitoring , 2009 .

[33]  A. Rigby,et al.  Noninvasive home telemonitoring for patients with heart failure at high risk of recurrent admission and death: the Trans-European Network-Home-Care Management System (TEN-HMS) study. , 2005, Journal of the American College of Cardiology.

[34]  Bo Xie,et al.  Effects of an eHealth Literacy Intervention for Older Adults , 2011, Journal of medical Internet research.

[35]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[36]  Sylvia E. Peacock,et al.  Senior citizens and Internet technology , 2007, European journal of ageing.