Roche gave financial support to one of the authors for his part in the study (recruitment and home visits). The company did not interfere with the study design, nor with the analysis or outcomes.
[1] Heron M. Deaths: leading causes for 2009. Natl Vital Stat Rep 2012;
61:1–96.
[2] Balady GJ, Williams MA, Ades PA, et al. Core components of cardiac
rehabilitation/secondary prevention programs, 2007 update: a scientific
statement from the American Heart Association Exercise, Cardiac
Rehabilitation, and Prevention Committee, the Council on Clinical
Cardiology; the Councils on Cardiovascular Nursing, Epidemiology and
Prevention, and Nutrition, Physical Activity, and Metabolism; and the
American Association of Cardiovascular and Pulmonary Rehabilitation.
Circulation 2007;115:2675–82.
[3] Piepoli MF, Corra U, Benzer W, et al. Cardiac Rehabilitation Section of
the European Association of Cardiovascular P, Rehabilitation. Secondary
prevention through cardiac rehabilitation: from knowledge to
implementation. A position paper from the Cardiac Rehabilitation
Mertens et al. Medicine (2016) 95:36 www.md-journal.com
7
Section of the European Association of Cardiovascular Prevention and
Rehabilitation. Eur J Cardiovasc Prev Rehabil 2010;17:1–7.
[4] Heran BS, Chen JM, Ebrahim S, et al. Exercise-based cardiac
rehabilitation for coronary heart disease. Cochrane Database Syst Rev
2011;7:CD001800.
[5] Osterberg L, Blaschke T. Adherence to medication. N Engl J Med
2005;353:487–97.
[6] Vrijens B, Vincze G, Kristanto P, et al. Adherence to prescribed
antihypertensive drug treatments: longitudinal study of electronically
compiled dosing histories. BMJ 2008;336:1114–7.
[7] Melnikow J, Kiefe C. Patient compliance and medical research: issues in
methodology. J Gen Intern Med 1994;9:96–105.
[8] Ho PM, Spertus JA, Masoudi FA, et al. Impact of medication therapy
discontinuation on mortality after myocardial infarction. Arch Intern
Med 2006;166:1842–7.
[9] Cramer JA, Benedict A, Muszbek N, et al. The significance of compliance
and persistence in the treatment of diabetes, hypertension and
dyslipidaemia: a review. Int J Clin Pract 2008;62:76–87.
[10] Kramer JM, Hammill B, Anstrom KJ, et al. National evaluation of
adherence to beta-blocker therapy for 1 year after acute myocardial
infarction in patients with commercial health insurance. Am Heart J
2006;152:454.e1–8.
[11] Diamantidis CJ, Becker S. Health information technology (IT) to
improve the care of patients with chronic kidney disease (CKD). BMC
Nephrol 2014;15:7.
[12] Becker S, Miron-Shatz T, Schumacher N, et al. Albrecht UV. mHealth
2.0: experiences, possibilities, and perspectives. JMIR Mhealth Uhealth
2014;2:e24.
[13] Grindrod KA, Li M, Gates A. Evaluating user perceptions of mobile
medicationmanagement applications with older adults: a usability study.
JMIR Mhealth Uhealth 2014;2:e11.
[14] Ferris FL, Kassoff A, Bresnick GH. New visual acuity charts for clinical
research. Am J Ophthalmol 1982;94:91–6.
[15] Becker S, Kribben A, Meister S, et al. User profiles of a smartphone
application to support drug adherence—experiences from the iNephro
project. PLoS One 2013;8:e78547.
[16] Becker S, Brandl C, Meister S, et al. Demographic and health related data
of users of a mobile application to support drug adherence is associated
with usage duration and intensity. PLoS One 2015;10:e0116980.
[17] Sengpiel M, Struve D, Secombe C, et al. Elderly persons’ perception and
acceptance of using wireless sensor networks to assist healthcare:
Developing training programs for older users of IT systems, taking into
account their computer knowledge (Entwicklung von Trainingsprogrammen
für ältere Benutzer von IT-Systemen unter Berücksichtigung des
Computerwissens). Wirtschaftspsychologie, Alter und Arbeit 2008;3:
94–105.
[18] Jank S, Bertsche T, Schellberg D, et al. The A14-scale: development and
evaluation of a questionnaire for assessment of adherence and individual
barriers. Pharm World Sci 2009;31:426–31.
[19] Karrer K, Glaser C, Clemens C, et al. Measuring Technology affinity—
the TA-EG questionnaire (Technikaffinität erfassen–der Fragebogen
TA-EG). ZMMS Spektrum 2009;22:196–201.
[20] Leuteritz JP, Widlroither H, Klüh M. Multi-level validation of the
ISOMetrics questionnaire based on qualitative and quantitative data
obtained from a conventional usability test. Proc 13th Int Hum-Comput
Interaction Conf 2009;LNCS5610:304–13.
[21] SAGE Publications, Field A. Discovering Statistics Using SPSS. 4th
edition2014.
[22] SAGE Publications, Field A, Hole G. How to Design and Report
Experiments. 2007.
[23] Lawrence Erlbaum Associate Publishers, Cohen J. Statistical Power
Analysis for the Behavioral Sciences. 1988.
[24] Granger BB, Bosworth HB. Medication adherence: emerging use of
technology. Curr Opin Cardiol 2011;26:279.
[25] Free C, Phillips G, Watson L, et al. The effectiveness of mobile-health
technologies to improve health care service delivery processes: a
systematic review and meta-analysis. PLoS Med 2013;10:e1001363.
[26] Free C, Phillips G, Galli L, et al. The effectiveness of mobile-health
technology-based health behaviour change or disease management
interventions for health care consumers: a systematic review. PLoS Med
2013;10:e1001362.
[27] Lester RT, Ritvo P, Mills EJ, et al. Effects of a mobile phone short
message service on antiretroviral treatment adherence in Kenya (WelTel
Kenya1): a randomised trial. Lancet 2010;376:1838–45.
[28] Pop-Eleches C, Thirumurthy H, Habyarimana JP, et al. Mobile phone
technologies improve adherence to antiretroviral treatment in a resourcelimited
setting: a randomized controlled trial of text message reminders.
AIDS 2011;25:825–34.
[29] Mulvaney SA, Anders S, Smith AK, et al. A pilot test of a tailored mobile
and web-based diabetes messaging system for adolescents. J Telemed
Telecare 2012;18:115–8.
[30] Vervloet M, van Dijk L, Santen-Reestman J, et al. SMS reminders
improve adherence to oral medication in type 2 diabetes patients who are
real time electronically monitored. Int J Med Inform 2012;81:594–604.
[31] van Dulmen S, Sluiis EE, van Dijk L, et al. Patient adherence to medical
treatment: a review of reviews. BMC Health Serv Res 2007;7:1.
[32] Statista GmbH. Besitz von mobilen Endgeräten in der Schweiz nach
Altersgruppen im Jahr 2015, 2015. Available at: http://de.statista.com/
statistik/daten/studie/307614/umfrage/mobile-endgeraete-in-derschweiz-
nach-altersgruppen/. Accessed March 7, 2016.
[33] ComScore. Anteil der Smartphone-Nutzer an allen Mobiltelefonbesitzern
in ausgewählten Ländern weltweit im Dezember der Jahre 2011 und
2012, 2013. Available at: http://de.statista.com/statistik/daten/studie/
219271/umfrage/anteil-der-smartphonenutzer-an-mobilfunknutzern-inausgewaehlten-
laendern/. Accessed March 7, 2016.
[34] Steele R, Lo A, Secombe C, et al. Elderly persons’ perception and
acceptance of using wireless sensor networks to assist healthcare. Int J
Med Inform 2009;78:788–801.
[35] Lorenz A, Oppermann R. Mobile health monitoring for the elderly:
designing for diversity. Pervasive Mob Comput 2009;5:478–95.
[36] Sarkar U, Karter AJ, Liu JY, et al. Social disparities in internet patient
portal use in diabetes: evidence that the digital divide extends beyond
access. J Am Med Inform Assoc 2011;18:318–21.
[37] Wetzels GE, Nelemans PJ, Schouten JS, et al. All that glisters is not gold: a
comparison of electronic monitoring versus filled prescriptions—an
observational study. BMC Health Serv Res 2006;6:8.
[38] Kujala S, Miron-Shatz T. Emotions,x experiences and usability in reallife
mobile phone use. Proceedings of the SIGCHI Conference on Human
Factors in Computing Systems 2013;1061–70.
[39] McDonald HP, Garg AX, Haynes RB, et al. Interventions to enhance
patient adherence to medication prescriptions: scientific review.”. JAMA
2002;288:2868–79.