Advertisement
Review Article| Volume 79, ISSUE 4, P381-388, December 2014

Download started.

Ok

Using mobile phones in healthcare management for the elderly

  • Hun-Sung Kim
    Affiliations
    Department of Medical Informatics, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea

    Department of Endocrinology and Metabolism, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea
    Search for articles by this author
  • Kye-Hwa Lee
    Affiliations
    Division of Biomedical Informatics, Systems Biomedical Informatics Research Centre, Seoul National University College of Medicine, Seoul, Republic of Korea
    Search for articles by this author
  • Hyunah Kim
    Affiliations
    College of Pharmacy, Sookmyung Women's University, Seoul, Republic of Korea
    Search for articles by this author
  • Ju Han Kim
    Correspondence
    Corresponding author at: Division of Biomedical Informatics, Systems Biomedical Informatics Research Center Seoul National University College of Medicine, 103 Daehak-ro, Jongno-gu, Seoul 110-799, Republic of Korea. Tel.: +82 2 740 8320.
    Affiliations
    Division of Biomedical Informatics, Systems Biomedical Informatics Research Centre, Seoul National University College of Medicine, Seoul, Republic of Korea
    Search for articles by this author
Published:September 06, 2014DOI:https://doi.org/10.1016/j.maturitas.2014.08.013

      Abstract

      The increasing average life expectancy is simultaneously increasing the incidence of chronic diseases and the number of healthy elderly people, consequently leading to an increased demand for healthcare management methods that do not involve hospital visits. The development of health management services involving mobile phones will change the focus of medical services from hospital visits and treatments to managing the health decisions made by individuals in their daily lives. However, the elderly may experience specific difficulties in adapting to constantly evolving services.
      This study reviews various health-related devices such as mobile phones that are available for providing healthcare to the elderly, and the different ways of using them. As the use of mobile phone increases, it is expected that elderly mobile phone users will also be able to regularly check their health status at any time and place.
      The issues of an ageing population pertain to the entire society rather than only to the elderly, which make mobile-phone-based medical informatics as a health management service a worthy goal.

      Keywords

      Abbreviations:

      CPBMI (mobile-phone-based medical informatics), IT (information technology), CDSS (clinical decision support system), ECG (electrocardiography)
      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 Maturitas
      Already a print subscriber? Claim online access
      Already an online subscriber? Sign in
      Institutional Access: Sign in to ScienceDirect

      References

        • Yoon K.H.
        • Lee J.H.
        • Kim J.W.
        • et al.
        Epidemic obesity and type 2 diabetes in Asia.
        Lancet. 2006; 368: 1681-1688
        • Inzucchi S.E.
        • Bergenstal R.M.
        • Buse J.B.
        • et al.
        Management of hyperglycaemia in type 2 diabetes: a patient-centered approach. Position statement of the American Diabetes Association (ADA) and the European Association for the Study of Diabetes (EASD).
        Diabetologia. 2012; 55: 1577-1596
        • Kim H.S.
        • Hwang Y.
        • Lee J.H.
        • et al.
        Future prospects of health management systems using cellular phones.
        Telemed J E Health. 2014; 20: 544-551
        • Kim H.S.
        • Choi W.
        • Baek E.K.
        • et al.
        Efficacy of the smartphone-based glucose management application stratified by user satisfaction.
        Diabetes Metab J. 2014; 38: 204-210
        • Cho C.H.
        • Kim H.S.
        • Han J.H.
        • et al.
        Ubiquitous diabetes management system via interactive communication based on information technologies: clinical effects and perspectives.
        Korean Diabetes J. 2010; 34: 267-273
        • Cho J.H.
        • Choi Y.H.
        • Kim H.S.
        • Lee J.H.
        • Yoon K.H.
        Effectiveness and safety of a glucose data-filtering system with automatic response software to reduce the physician workload in managing type 2 diabetes.
        J Telemed Telecare. 2011; 17: 257-262
        • Bell A.M.
        • Fonda S.J.
        • Walker M.S.
        • Schmidt V.
        • Vigersky R.A.
        Mobile phone-based video messages for diabetes self-care support.
        J Diabetes Sci Technol. 2012; 6: 310-319
        • Zolfaghari M.
        • Mousavifar S.A.
        • Pedram S.
        • Haghani H.
        The impact of nurse short message services and telephone follow-ups on diabetic adherence: which one is more effective?.
        J Clin Nurs. 2012; 21: 1922-1931
        • Liu W.T.
        • Huang C.D.
        • Wang C.H.
        • Lee K.Y.
        • Lin S.M.
        • Kuo H.P.
        A mobile telephone-based interactive self-care system improves asthma control.
        Eur Respir J. 2011; 37: 310-317
        • Shetty A.S.
        • Chamukuttan S.
        • Nanditha A.
        • Raj R.K.
        • Ramachandran A.
        Reinforcement of adherence to prescription recommendations in Asian Indian diabetes patients using short message service (SMS)—a pilot study.
        J Assoc Physicians India. 2011; 59: 711-714
        • Prabhakaran L.
        • Chee W.Y.
        • Chua K.C.
        • Abisheganaden J.
        • Wong W.M.
        The use of text messaging to improve asthma control: a pilot study using the mobile phone short messaging service (SMS).
        J Telemed Telecare. 2010; 16: 286-290
        • Nguyen H.Q.
        • Gill D.P.
        • Wolpin S.
        • Steele B.G.
        • Benditt J.O.
        Pilot study of a cell phone-based exercise persistence intervention post-rehabilitation for COPD.
        Int J Chron Obstruct Pulmon Dis. 2009; 4: 301-313
        • Liew S.M.
        • Tong S.F.
        • Lee V.K.
        • Ng C.J.
        • Leong K.C.
        • Teng C.L.
        Text messaging reminders to reduce non-attendance in chronic disease follow-up: a clinical trial.
        Br J Gen Pract. 2009; 59: 916-920
        • Kalichman S.C.
        • Kalichman M.O.
        • Cherry C.
        • et al.
        Brief behavioral self-regulation counseling for HIV treatment adherence delivered by cell phone: an initial test of concept trial.
        AIDS Patient Care STDS. 2011; 25: 303-310
        • Park M.J.
        • Kim H.S.
        • Kim K.S.
        Cellular phone and Internet-based individual intervention on blood pressure and obesity in obese patients with hypertension.
        Int J Med Inf. 2009; 78: 704-710
        • Yoo H.J.
        • Park M.S.
        • Kim T.N.
        • et al.
        A Ubiquitous Chronic Disease Care system using cellular phones and the Internet.
        Diabet Med. 2009; 26: 628-635
        • McCann L.
        • Maguire R.
        • Miller M.
        • Kearney N.
        Patients’ perceptions and experiences of using a mobile phone-based advanced symptom management system (ASyMS) to monitor and manage chemotherapy related toxicity.
        Eur J Cancer Care. 2009; 18: 156-164
        • Istepanian R.S.
        • Zitouni K.
        • Harry D.
        • et al.
        Evaluation of a mobile phone telemonitoring system for glycaemic control in patients with diabetes.
        J Telemed Telecare. 2009; 15: 125-128
        • Kearney N.
        • McCann L.
        • Norrie J.
        • et al.
        Evaluation of a mobile phone-based, advanced symptom management system (ASyMS) in the management of chemotherapy-related toxicity.
        Support Care Cancer. 2009; 17: 437-444
        • Hauck M.
        • Bauer A.
        • Voss F.
        • Weretka S.
        • Katus H.A.
        • Becker R.
        Home monitoring for early detection of implantable cardioverter-defibrillator failure: a single-center prospective observational study.
        Clin Res Cardiol. 2009; 98: 19-24
        • Wakefield B.J.
        • Ward M.M.
        • Holman J.E.
        • et al.
        Evaluation of home telehealth following hospitalization for heart failure: a randomized trial.
        Telemed J E Health. 2008; 14: 753-761
        • Ryuzaki M.
        • Nakamoto H.
        • Nishida E.
        • et al.
        Crossover study of amlodipine versus nifedipine CR with home blood pressure monitoring via cellular phone: Internet-mediated open-label crossover trial of calcium channel blockers for hypertension (i-TECHO trial).
        J Hypertens. 2007; 25: 2352-2358
        • Márquez Contreras E.
        • de la Figuera von Wichmann M.
        • Gil Guillén V.
        • et al.
        Effectiveness of an intervention to provide information to patients with hypertension as short text messages and reminders sent to their mobile phone (HTA-Alert).
        Aten Primaria. 2004; 34: 399-405
        • Winkler S.
        • Schieber M.
        • Lücke S.
        • et al.
        A new telemonitoring system intended for chronic heart failure patients using mobile telephone technology—feasibility study.
        Int J Cardiol. 2011; 153: 55-58
        • Liu W.T.
        • Wang C.H.
        • Lin H.C.
        • et al.
        Efficacy of a cell phone-based exercise programme for COPD.
        Eur Respir J. 2008; 32: 651-659
        • Cho J.H.
        • Lee H.C.
        • Lim D.J.
        • Kwon H.S.
        • Yoon K.H.
        Mobile communication using a mobile phone with a glucometer for glucose control in Type 2 patients with diabetes: as effective as an Internet-based glucose monitoring system.
        J Telemed Telecare. 2009; 15: 77-82
        • Kollmann A.
        • Riedl M.
        • Kastner P.
        • Schreier G.
        • Ludvik B.
        Feasibility of a mobile phone-based data service for functional insulin treatment of type 1 diabetes mellitus patients.
        J Med Internet Res. 2007; 9: e36
        • Lee S.H.
        • Ha K.S.
        • Jang H.C.
        • et al.
        A study on U-Healthcare Service using mobile phone for elderly patients.
        Int J Med Inf. 2009; 78: 193-198
        • Hurling R.
        • Catt M.
        • Boni M.D.
        • et al.
        Using Internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial.
        J Med Internet Res. 2007; 9: e7
        • Kim K.S.
        • Kim S.K.
        • Sung K.M.
        • Cho Y.W.
        • Park S.W.
        Management of Type 2 diabetes mellitus in older adults.
        Diabetes Metab J. 2012; 36: 336-344
        • Choi K.M.
        Sarcopenia and sarcopenic obesity.
        Endocrinol Metab. 2013; 28: 86-89
        • Koshy E.
        • Car J.
        • Majeed A.
        Effectiveness of mobile-phone short message service (SMS) reminders for ophthalmology outpatient appointments: observational study.
        BMC Ophthalmol. 2008; 8: 9
        • Leong K.C.
        • Chen W.S.
        • Leong K.W.
        • et al.
        The use of text messaging to improve attendance in primary care: a randomized controlled trial.
        Fam Pract. 2006; 23: 699-705
        • Castaño P.M.
        • Bynum J.Y.
        • Andrés R.
        • Lara M.
        • Westhoff C.
        Effect of daily text messages on oral contraceptive continuation: a randomized controlled trial.
        Obstet Gynecol. 2012; 119: 14-20
        • Gohar F.
        • Greenfield S.M.
        • Beevers D.G.
        • Lip G.Y.
        • Jolly K.
        Selfcare and adherence to medication: a survey in the hypertension outpatient clinic.
        BMC Complement Altern Med. 2008; 8: 4
        • Egan B.M.
        • Lackland D.T.
        • Cutler N.E.
        Awareness, knowledge, and attitudes of older Americans about high blood pressure: implications for health care policy, education, and research.
        Arch Intern Med. 2003; 163: 681-687
        • Hardy H.
        • Kumar V.
        • Doros G.
        • et al.
        Randomized controlled trial of a personalized cellular phone reminder system to enhance adherence to antiretroviral therapy.
        Aids Patient Care STDS. 2011; 25: 153-161
        • Pop-Eleches C.
        • Thirumurthy H.
        • Habyarimana J.P.
        • et al.
        Mobile phone technologies improve adherence to antiretroviral treatment in a resource-limited setting: a randomized controlled trial of text message reminders.
        AIDS. 2011; 25: 825-834
        • Karantonis D.M.
        • Narayanan M.R.
        • Mathie M.
        • Lovell N.H.
        • Celler B.G.
        Implementation of a real-time human movement classifier using a triaxial accelerometer for ambulatory monitoring.
        IEEE Trans Inf Technol Biomed. 2006; 10: 156-167
        • Cho J.H.
        • Lee J.H.
        • Oh J.A.
        • et al.
        Complication reducing effect of the information technology-based diabetes management system on subjects with type 2 diabetes.
        J Diabetes Sci Technol. 2008; 2: 76-81
        • Adam Noah J.
        • Spierer D.K.
        • Gu J.
        • Bronner S.
        Comparison of steps and energy expenditure assessment in adults of fitbit tracker and ultra to the actical and indirect calorimetry.
        J Med Eng Technol. 2013; 37: 456-462
        • Schiel R.
        • Thomas A.
        • Kaps A.
        • Bieber G.
        An innovative telemedical support system to measure physical activity in children and adolescents with type 1 diabetes mellitus.
        Exp Clin Endocrinol Diabetes. 2011; 119: 565-568
        • Kim H.S.
        • Yoon K.H.
        • Cho J.H.
        Diurnal heart rate variability fluctuations in normal volunteers.
        J Diabetes Sci Technol. 2014; 8: 431-433
        • Lim S.
        • Kim S.Y.
        • Kim J.I.
        • et al.
        A Survey on ubiquitous healthcare service demand among diabetic patient.
        Diabetes Metab J. 2011; 35: 50-57
        • Salthouse T.A.
        The aging of working memory.
        Neuropsychology. 1994; 8: 535-543
        • Park G.
        • Lee J.H.
        • Kim K.S.
        A Study on effective improvement of mobile phone sound quality in a noise environment for the hearing-impaired.
        Korean J Audiol. 2013; 17: 78-82
        • Kim H.S.
        • Shin J.A.
        • Chang J.S.
        • Cho J.H.
        • Son H.Y.
        • Yoon K.H.
        Continuous glucose monitoring: current clinical use.
        Diabetes Metab Res Rev. 2012; 28: 73-78
        • Curran K.
        • Nichols E.
        • Xie E.
        • Harper R.
        An intensive insulinotherapy mobile phone application built on artificial intelligence techniques.
        J Diabetes Sci Technol. 2010; 4: 209-220
        • Hogan P.
        • Dall T.
        • Nikolov P.
        Economic costs of diabetes in the US in 2002.
        Diabetes Care. 2003; 26: 917-932
        • Cho J.H.
        • Kwon H.S.
        • Kim H.S.
        • Oh J.A.
        • Yoon K.H.
        Effects on diabetes management of a health-care provider mediated, remote coaching system via a PDA-type glucometer and the Internet.
        J Telemed Telecare. 2011; 17: 365-370