Older People with Access to Hand-Held Devices: Who Are They?

INTRODUCTION Multiple comorbid conditions among older patients require frequent physician office and emergency room visits, at times leading to hospitalization. In recent years, mobile health (m-health) systems utilizing hand-held devices (e.g., smartphones) have been developed, which could be used for health-related interventions. This study investigates sociodemographic and clinical characteristics of individuals who have or have not accessed Internet via hand-held devices. MATERIALS AND METHODS Adults older than 65 years of age who participated in the Health Tracking survey of the Pew Internet and American Life Project in 2012 were included in the analysis. Data were analyzed for prevalence of Internet access via hand-held devices and differences in sociodemographic and clinical characteristics. Different online health information seeking behavior is also reported. RESULTS In the weighted sample size of 3,116 responses, 472 (15.1%) had access to Internet via hand-held devices. Those with such an access were younger and had higher income and education and better overall quality of life and quality of life at the time of answering the survey. They were more likely to be female and married or living as married. Those with diabetes or significant change in physical condition in the prior year were less likely to have such an access. In the multivariate analysis, older or diabetic individuals had lower probability of such access. Higher likelihood of access was associated with higher income and education, being married, female gender, better quality of life, higher number of comorbid illnesses, and emergency room visit or hospital admission in the last 12 months. CONCLUSIONS Investigators should pay attention to sociodemographic and clinical disparities of older adults to develop feasible m-health interventions.

[1]  C. Hamelink New information and communication technologies, social development and cultural change , 1997 .

[2]  L. Strycker,et al.  Awareness and barriers to use of cancer support and information resources by HMO patients with breast, prostate, or colon cancer: patient and provider perspectives , 2001, Psycho-oncology.

[3]  D Kromhout,et al.  Prevalence of morbidity and multimorbidity in elderly male populations and their impact on 10-year all-cause mortality: The FINE study (Finland, Italy, Netherlands, Elderly). , 2001, Journal of clinical epidemiology.

[4]  B. Starfield,et al.  Prevalence, expenditures, and complications of multiple chronic conditions in the elderly. , 2002, Archives of internal medicine.

[5]  Sharon S. Choi,et al.  An information system and medical record to support HIV treatment in rural Haiti , 2004, BMJ : British Medical Journal.

[6]  W. Riley,et al.  College Smoking-Cessation Using Cell Phone Text Messaging , 2004, Journal of American college health : J of ACH.

[7]  S. Cotten,et al.  Characteristics of online and offline health information seekers and factors that discriminate between them. , 2004, Social science & medicine.

[8]  K. Thorpe,et al.  The rise in spending among Medicare beneficiaries: the role of chronic disease prevalence and changes in treatment intensity. , 2006, Health affairs.

[9]  P Kastner,et al.  Mobile phone-based surveillance of cardiac patients at home , 2006, Journal of telemedicine and telecare.

[10]  R.S.H. Istepanian,et al.  Fragility Issues of Medical Video Streaming over 802.11e-WLAN m-health Environments , 2006, 2006 International Conference of the IEEE Engineering in Medicine and Biology Society.

[11]  E. Årsand,et al.  Diabetes education via mobile text messaging , 2006, Journal of telemedicine and telecare.

[12]  A. Walker Multiple chronic diseases and quality of life: patterns emerging from a large national sample, Australia , 2007, Chronic illness.

[13]  P. Croft,et al.  Clinical multimorbidity and physical function in older adults: a record and health status linkage study in general practice. , 2007, Family practice.

[14]  L. Poll-Franse,et al.  Internet use by cancer survivors: current use and future wishes , 2008, Supportive Care in Cancer.

[15]  L. V. van de Poll-Franse,et al.  Internet use by cancer survivors: current use and future wishes. , 2008, Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer.

[16]  M. Lim,et al.  SMS STI: A Review of the Uses of Mobile Phone Text Messaging in Sexual Health , 2008, International journal of STD & AIDS.

[17]  B. Winblad,et al.  Patterns of Chronic Multimorbidity in the Elderly Population , 2009, Journal of the American Geriatrics Society.

[18]  B. Winblad,et al.  The impact of chronic multimorbidity and disability on functional decline and survival in elderly persons. A community‐based, longitudinal study , 2009, Journal of internal medicine.

[19]  J Coughlan,et al.  A Mobile Phone Wayfinding System for Visually Impaired Users. , 2009, Assistive technology research series.

[20]  M. Carlsson Cancer patients seeking information from sources outside the health care system: change over a decade. , 2009, European journal of oncology nursing : the official journal of European Oncology Nursing Society.

[21]  L. Carmona,et al.  Multimorbidity: prevalence, effect on quality of life and daily functioning, and variation of this effect when one condition is a rheumatic disease. , 2009, Seminars in arthritis and rheumatism.

[22]  B. Fjeldsoe,et al.  Behavior change interventions delivered by mobile telephone short-message service. , 2009, American journal of preventive medicine.

[23]  A. Haines,et al.  The effectiveness of M-health technologies for improving health and health services: a systematic review protocol , 2010, BMC Research Notes.

[24]  Andy Koronios,et al.  Mobile Application Development for Senior Citizens , 2010, PACIS.

[25]  Martin Hilbert,et al.  The World’s Technological Capacity to Store, Communicate, and Compute Information , 2011, Science.

[26]  Donna M. Zulman,et al.  Trust in the Internet as a Health Resource Among Older Adults: Analysis of Data from a Nationally Representative Survey , 2011, Journal of medical Internet research.

[27]  Steve Wheeler,et al.  How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX , 2011, Biomedical engineering online.

[28]  Reinhold Haux,et al.  Health-enabling technologies for the elderly - An overview of services based on a literature review , 2012, Comput. Methods Programs Biomed..

[29]  Viswanath Venkatesh,et al.  Consumer Acceptance and Use of Information Technology: Extending the Unified Theory of Acceptance and Use of Technology , 2012, MIS Q..

[30]  Joerg Koenigstorfer,et al.  Consumer acceptance of the mobile Internet , 2012 .

[31]  Yanchun Liang,et al.  Using Internet Search Engines to Obtain Medical Information: A Comparative Study , 2012, Journal of medical Internet research.

[32]  R. Marrie,et al.  Preferred Sources of Health Information in Persons With Multiple Sclerosis: Degree of Trust and Information Sought , 2013, Journal of medical Internet research.

[33]  Shahriar Akter,et al.  mHealth Technologies for Chronic Diseases and Elders: A Systematic Review , 2013, IEEE Journal on Selected Areas in Communications.

[34]  Joost van Hoof,et al.  Factors influencing acceptance of technology for aging in place: A systematic review , 2014, Int. J. Medical Informatics.

[35]  Suzanne Bakken,et al.  Online Health Information Seeking Behaviors of Hispanics in New York City , 2013 .

[36]  Stephen Wu,et al.  Comparative Analysis of Online Health Queries Originating From Personal Computers and Smart Devices on a Consumer Health Information Portal , 2014, Journal of medical Internet research.

[37]  YANG FENG,et al.  Digital Divide 2.0: The Role of Social Networking Sites in Seeking Health Information Online From a Longitudinal Perspective , 2015, Journal of health communication.