References
- Haux R, Ammenwerth E, Herzog W, Knaup P. Health care in the information society. A prognosis for the year 2013. Int J Med Inform. 2002;66(1–3):3–21.
- World Health Organization. Global Status Report on Noncommunicable Diseases. Geneva: World Health Organization; 2010. Available from: http://whqlibdoc.who.int/publications/2011/9789240686458_eng.pdf?ua=1. Accessed December 11, 2013.
- Australian Bureau of Statistics. National Health Survey: summary of results, 2007-2008 (reissue). Available from http://www.abs.gov.au/AUSSTATS/[email protected]/Latestproducts/4364.0Main%20Features12007-2008%20(Reissue)?opendocument&tabname=Summary&prodno=4364.0&issue=2007-2008%20(Reissue)&num=&view=. Accessed December 11, 2013.
- Bousquet J, Anto JM, Sterk PJ, et al. Systems medicine and integrated care to combat chronic noncommunicable diseases. Genome Med. 2011;3(7):43.
- Parchman ML, Zeber JE, Palmer RF. Participatory decision making, patient activation, medication adherence, and intermediate clinical outcomes in type 2 diabetes: a STARNet study. Ann Fam Med. 2010;8(5):410–417.
- Institute of Medicine. Envisioning the National Health Care Quality Report. Bethesda, MD: Institute of Medicine; 2000. Available from http://www.nap.edu/openbook.php?isbn=030907343X. Accessed December 11, 2013.
- Heisler M, Bouknight RR, Hayward RA, Smith DM, Kerr EA. The relative importance of physician communication, participatory decision making, and patient understanding in diabetes self-management. J Gen Intern Med. 2002;17(4):243–252.
- EPG Health Media. Healthcare Professional use of Mobile Devices: A comparative study between Europe and US in 2010 and 2012; 2012. Available from: http://www.epghealthmedia.com/docs/reports/mobile-report-abstract.pdf. Accessed December 11, 2013.
- World Health Organization. mHealth: New Horizons for Health through Mobile Technologies: Second Global Survey on eHealth. Geneva: World Health Organization; 2011. Available from: http://www.who.int/goe/publications/goe_mhealth_web.pdf. Accessed November 12, 2013.
- Han JH, Sunderland N, Kendall E, Gudes O, Henniker G. Professional practice and innovation: Chronic disease, geographic location and socioeconomic disadvantage as obstacles to equitable access to e-health. HIM J. 2010;39(2):30–36.
- Murray E, Burns J, See TS, Lai R, Nazareth I. Interactive Health Communication Applications for people with chronic disease [review]. Cochrane Database Syst Rev. 2005;4:CD004274.
- Boulos MN, Wheeler S, Tavares C, Jones R. How smartphones are changing the face of mobile and participatory healthcare: an overview, with example from eCAALYX. BioMed Eng Online. 2011;10:24.
- Mack J. The iPad in the Doctor’s Office: Understanding What Physicians and Patients Desire from mHealth Applications. Newtown, PA: VirSci Corporation; 2012. Available from: http://www.pharma-mkting.com/news/pmn118-article01.pdf. Accessed December 11, 2013.
- Usher WT. Australian health professionals’ social media (Web 2.0) adoption trends: early 21st century health care delivery and practice promotion. Aust J Prim Health. 2012;18(1):31–41.
- Boschen MJ, Casey LM. The use of mobile telephones as adjuncts to cognitive behavioral psychotherapy. Professional Psychology: Research and Practice. 2008;39(5):546–552.
- Clough BA, Casey LM. Technological adjuncts to enhance current psychotherapy practices: a review. Clin Psychol Rev. 2011;31(3):279–292.
- Usher W, Laakso E, James D, Rowlands D. The connective matrix of emerging health technologies: E-Health solutions for people with chronic disease. International Journal of E-Health and Medical Communications. 2013;4(3):94–114.
- Hurling R, Catt M, Boni MD, et al. Using internet and mobile phone technology to deliver an automated physical activity program: randomized controlled trial. J Med Internet Res. 2007;9(2):e7.
- Rolim CO, Koch FL, Westphall CB, Werner J, Fracalossi A, Salvador GS. A Cloud Computing Solution for Patient’s Data Collection in Health Care Institutions: Proceedings of eHealth, Telemedicine, and Social Medicine, ETELEMED ‘10, Second International Conference, St Maarten, The Netherlands Antilles, February 10–16, 2010. Los Alamitos, CA, USA: Conference Publishing Services; 2010.
- Or CK, Karsh BT. A systematic review of patient acceptance of consumer health information technology. J Am Med Inform Assoc. 2009;16(4):550–560.
- Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319–340.
- Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS Quarterly. 2003;27(3):425–478.
- Calvin KL, Karsh BT. The Patient Technology Acceptance Model (PTAM) for Homecare Patients with Chronic Illness. Proceedings of the Human Factors and Ergonomics Society Annual Meeting. 2006;50(10):989–993.
- Scalvini S, Baratti D, Assoni G, Zanardini M, Comini L, Bernocchi P. Information and communication technology in chronic diseases: a patient’s opportunity. J Med Person. 2013:1–5.
- Akesson KM, Saveman BI, Nilsson G. Health care consumers’ experiences of information communication technology – a summary of literature. Int J Med Inform. 2007;76(9):633–645.
- Becker A, Herzberg D, Marsden N, Thomanek S, Jung H, Leonhardt C. A new computer-based counselling system for the promotion of physical activity in patients wtih chronic diseases – results from a pilot study. Patient Educ Couns. 2011;83(2):195–202.
- Milne D, Sheeran L, Holmes M, Tidhar G, Aranda S. Trialling a patient-led cancer care website in an acute cancer care setting. Journal of Research in Nursing. 2012;17(6):538–554.
- Rahimpour M, Lovell NH, Celler BG, McCormick J. Patients’ perceptions of a home telecare system. Int J Med Inform. 2008;77(7):486–498.
- Winkelman WJ, Leonard KJ, Rossos PG. Patient-perceived usefulness of online electronic medical records: employing grounded theory in the development of information and communication technologies for use by patients living with chronic illness. J Am Med Inform Assoc. 2005;12(3):306–314.
- Varnfield M, Karunanithi M, Särelä A, et al. Uptake of a technology-assisted home-care cardiac rehabilitation program. Med J Aust. 2011;194(4):S15–S19.
- Karunanithi M, Varnfield M, Ding H, Garcia E, Whittaker F, Särelä A. Care assessment platform: an ICT-enabled home care model for secondary prevention of cardiovascular diseases. Conf Proc IEEE Eng Med Biol Soc. 2010;2010:5266.
- Messner ER. Quality of care and patient satisfaction: The improvement efforts of one emergency department. Topics in Emergency Medicine. 2005;27(2):132–141.
- Zabada C, Singh S, Munchus G. The role of information technology in enhancing patient satisfaction. British Journal of Clinical Governance. 2001;6(1):9–16.
- Roham M, Gabrielyan AR, Archer NP. Predicting the impact of hospital health information technology adoption on patient satisfaction. Artif Intell Med. 2012;56(2):123–135.
- Irani JS, Middleton JL, Marfatia R, Omana ET, D’Amico F. The use of electronic health records in the exam room and patient satisfaction: a systematic review. J Am Board Fam Med. 2009;22(5):553–562.
- Kazley AS, Diana ML, Ford EW, Menachemi N. Is electronic health record use associated with patient satisfaction in hospitals? Health Care Manage Rev. 2012;37(1):23–30.
- Rahimi B, Vimarlund V. Methods to evaluate health information systems in healthcare settings: a literature review. J Med Syst. 2007;31(5):397–432.
- Agha Z, Schapira RM, Laud PW, McNutt G, Roter DL. Patient satisfaction with physician-patient communication during telemedicine. Telemed J E Health. 2009;15(9):830–839.
- Olsson A, Engström M, Skovdahl K, Lampic C. My, your and our needs for safety and security: relatives’ reflections on using information and communication technology in dementia care. Scand J Caring Sci. 2012;26(1):104–112.
- Nilsson C, Ohman M, Söderberg S. Information and communication technology in supporting people with serious chronic illness living at home – an intervention study. J Telemed Telecare. 2006;12(4):198–202.
- Poradzisz M, Florczak KL. Quality of life: input or outcome? Nurs Sci Q. 2013;26(2):116–120.
- Taylor RM, Gibson F, Franck LS. A concept analysis of health-related quality of life in young people with chronic illness. J Clin Nurs. 2008;17(14):1823–1833.
- Williams GC, Lynch M, Glasgow RE. Computer-assisted intervention improves patient-centered diabetes care by increasing autonomy support. Health Psychol. 2007;26(6):728–734.
- Friedman IM, Litt IF. Adolescents’ compliance with therapeutic regimens: Psychological and social aspects and intervention. J Adolesc Health Care. 1987;8(1):52–67.
- McDonald HP, Garg AX, Haynes RB. Interventions to enhance patient adherence to medication prescriptions: scientific review. JAMA. 2002;288(22):2868–2879.
- Nosé M, Barbui C, Gray R, Tansella M. Clinical interventions for treatment non-adherence in psychosis: meta-analysis. Br J Psychiatry. 2003;183:197–206.
- Chen A. Noncompliance in community psychiatry: a review of clinical interventions. Hosp Community Psychiatry. 1991;42(3):282–287.
- Haynes RB, McDonald HP, Garg AX. Helping patients follow prescribed treatment: clinical applications. JAMA. 2002;288(22):2880–2883.
- Haynes RB, Ackloo E, Sahota N, McDonald HP, Yao X. Interventions for enhancing medication adherence [review]. Cochrane Database Syst Rev. 2008;2:CD000011.
- Misono AS, Cutrona SL, Choudhry NK, et al. Healthcare information technology interventions to improve cardiovascular and diabetes medication adherence. Am J Manag Care. 2010;16(12 Suppl HIT):SP82–SP92.
- Cleland J, Caldow J, Ryan D. A qualitative study of the attitudes of patients and staff to the use of mobile phone technology for recording and gathering asthma data. J Telemed Telecare. 2007;13(2):85–89.
- Nijland N, van Gemert-Pijnen JE, Kelders SM, Brandenburg BJ, Seydel ER. Factors influencing the use of a Web-based application for supporting the self-care of patients with type 2 aiabetes: a longitudinal study. J Med Internet Res. 2011;13(3):e71.
- Weymann N, Härter M, Dirmaier J. A tailored, interactive health communication application for patients with type 2 diabetes: study protocol of a randomised controlled trial. BMC Med Inform Decis Mak. 2013;13:24.
- Jan RL, Wang JY, Huang MC, Tseng SM, Su HJ, Liu LF. An internet-based interactive telemonitoring system for improving childhood asthma outcomes in Taiwan. Telemed J E Health. 2007;13:257–268.
- Rasmussen LM, Phanareth K, Nolte H, Backer V. Internet-based monitoring of asthma: a long-term, randomized clinical study of 300 asthmatic subjects. J Allergy Clin Immunol. 2005;115(6):1137–1142.
- Stinson J, Wilson R, Gill N, Yamada J, Holt J. A systematic review of internet-based self-management interventions for youth with health conditions. J Pediatr Psychol. 2009;34(5):495–510.
- Ryan JG, Schwartz R, Jennings T, Fedders M, Vittoria I. Feasibility of an internet-based intervention for improving diabetes outcomes among low-income patients with a high risk for poor diabetes outcomes followed in a community clinic. Diabetes Educ. 2013;39(3):365–375.
- Cadmus-Bertram L, Wang JB, Patterson RE, Newman VA, Parker BA, Pierce JP. Web-based self-monitoring for weight loss among overweight/obese women at increased risk for breast cancer: the HELP pilot study. Psychooncology. 2013;22(8):1821–1828.
- Piette JD, Datwani H, Gaudioso S, et al. Hypertension management using mobile technology and home blood pressure monitoring: results of a randomized trial in two low/middle-income countries. Telemed J E Health. 2012;18(8):613–620.
- Miller DM, Moore SM, Fox RJ, et al. Web-based self-management for patients with multiple sclerosis: a practical, randomized trial. Telemed J E Health. 2011;17(1):5–13.
- Schaller RR. Moore’s law: past, present and future. Spectrum, IEEE. 1997;34(6):52–59.
- Yurish S, Reddy Y, Gervais-Ducouret S, Mauri JL, Gomez L, editors. Linking Sensor Data to a Cloud-based Storage Server Using a Smartphone Bridge. SENSORCOMM 2012, The Sixth International Conference on Sensor Technologies and Applications, Rome, Italy, August 19–24, 2012. International Academy, Research and Industry Association; 2012.
- Rowlands DD, Usher W, McCarthy M, et al. An Automated Activity Monitoring System for Rehabilitation. Procedia Engineering. 2013;60:232–237.
- James DA, Thiel DE, Allen KJ, et al. Technology and health: Physical activity monitoring in the free living environment. Procedia Engineering. 2012;34:367–372.
- Laakso EL, Armstrong K, Usher W. Cyber-management of people with chronic disease: A potential solution to eHealth challenges. Health Education Journal. 2012;71(4):483–490.
- Harding JW, Toohey K, Martin DT, Mackintosh C, Lindh AM, James DA. Automated inertial feedback for half-pipe snowboard competition and the community perception. In: Fuss FK, Subic A, Ujihashi S, editors. The Impact of Technology on Sport II. Oxon, UK: Taylor and Francis; 2007:845–850.