The Role of Mobile Health in Elderly Populations

Abstract“Gerontechnology” is defined as the application of mobile health (mHealth) technologies to elderly populations. It has conceptual value as a means to enhance preventative or therapeutic approaches to care and has therefore emerged as a key consideration in innovative healthcare approaches for today’s rapidly growing older population. In this review, we consider our pertinent experiences developing and deploying technology in clinical studies facilitated by Wellframe in 2014 and 2015, specifically in orientation to cardiac rehabilitation and care of patients with chronic psychiatric disorders. Wellframe is a Boston-based digital medicine company focused on building the next generation of infrastructure for clinical care delivery by combining artificial intelligence, medicine, and cloud-based computer systems. Goals of these projects have centered on the premise of facilitating treatments to patients with chronic disease that are more personalized (reliable patient-centered healthcare) and herald many opportunities for improved care of older adults.

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

[2]  S. Ratzan,et al.  Measurement and Evaluation Outcomes for mHealth Communication: Don't We Have an App for That? , 2012, Journal of health communication.

[3]  Juan M. Corchado,et al.  Distributed Computing, Artificial Intelligence, Bioinformatics, Soft Computing, and Ambient Assisted Living, 10th International Work-Conference on Artificial Neural Networks, IWANN 2009 Workshops, Salamanca, Spain, June 10-12, 2009. Proceedings, Part II , 2009, IWANN.

[4]  Sharona M. Atkins,et al.  Memory enhancement in healthy older adults using a brain plasticity-based training program: A randomized, controlled study , 2006, Proceedings of the National Academy of Sciences.

[5]  N. Charness,et al.  Aging and Information Technology Use , 2009 .

[6]  A. Kengne,et al.  Local innovation for improving primary care cardiology in resource-limited African settings: an insight on the Cardio Pad(®) project in Cameroon. , 2014, Cardiovascular diagnosis and therapy.

[7]  Daniel E Forman,et al.  Utility and Efficacy of a Smartphone Application to Enhance the Learning and Behavior Goals of Traditional Cardiac Rehabilitation: A FEASIBILITY STUDY , 2014, Journal of cardiopulmonary rehabilitation and prevention.

[8]  S. Hwang,et al.  Development of Smartphone Educational Application for Patients with Coronary Artery Disease , 2014, Healthcare informatics research.

[9]  P. Topo Technology Studies to Meet the Needs of People With Dementia and Their Caregivers , 2009 .

[10]  N. Charness,et al.  Word-processing training and retraining: effects of adult age, experience, and interface. , 2001, Psychology and aging.

[11]  Julie Redfern,et al.  The mobile revolution—using smartphone apps to prevent cardiovascular disease , 2015, Nature Reviews Cardiology.

[12]  Emily Seto,et al.  A game plan: Gamification design principles in mHealth applications for chronic disease management , 2016, Health Informatics J..

[13]  Enrico Caiani,et al.  Acquisition and analysis of cardiovascular signals on smartphones: potential, pitfalls and perspectives , 2014, European journal of preventive cardiology.

[14]  P. Schulz,et al.  Mapping mHealth Research: A Decade of Evolution , 2013, Journal of medical Internet research.

[15]  Yoshimi Fukuoka,et al.  Using Mobile Technology for Cardiac Rehabilitation: A Review and Framework for Development and Evaluation , 2013, Journal of the American Heart Association.

[16]  B. Cohen,et al.  Using Smartphone Apps to Promote Psychiatric and Physical Well-Being , 2015, Psychiatric Quarterly.

[17]  A. Bastawrous,et al.  Mobile health use in low- and high-income countries: an overview of the peer-reviewed literature , 2013, Journal of the Royal Society of Medicine.

[18]  Shu-Chen Li,et al.  Psychological Principles of Successful Aging Technologies: A Mini-Review , 2008, Gerontology.

[19]  W. Dietz New strategies to improve food marketing to children. , 2013, Health affairs.

[20]  L. Carstensen The Influence of a Sense of Time on Human Development , 2006, Science.

[21]  S. Czaja,et al.  Advancing the Aging and Technology Agenda in Gerontology. , 2015, The Gerontologist.

[22]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[23]  Marlien Varnfield,et al.  Smartphone-based home care model improved use of cardiac rehabilitation in postmyocardial infarction patients: results from a randomised controlled trial , 2014, Heart.

[24]  Joseph Sharit,et al.  Factors predicting the use of technology: findings from the Center for Research and Education on Aging and Technology Enhancement (CREATE). , 2006, Psychology and aging.

[25]  R. Silliman Caregiving issues in the geriatric medical encounter. , 2000, Clinics in geriatric medicine.

[26]  A. D. Fisk,et al.  Toward a psychological science of advanced technology design for older adults. , 2010, The journals of gerontology. Series B, Psychological sciences and social sciences.

[27]  Brian W. Powers,et al.  The digital phenotype , 2015, Nature Biotechnology.

[28]  A. LaCroix,et al.  Patterns of technology use among older adults with and without disabilities. , 2015, The Gerontologist.

[29]  R. Petrella,et al.  A lifestyle intervention supported by mobile health technologies to improve the cardiometabolic risk profile of individuals at risk for cardiovascular disease and type 2 diabetes: study rationale and protocol , 2013, BMC Public Health.

[30]  Timothy W. Bickmore,et al.  Employing Virtual Advisors in Preventive Care for Underserved Communities: Results From the COMPASS Study , 2013, Journal of health communication.

[31]  Richard Schulz,et al.  Disability, Age, and Informational Privacy Attitudes in Quality of Life Technology Applications: Results from a National Web Survey , 2009, TACC.