Studying the Acceptance of a Digital Diabetes Diaries

The incidence of diabetes has increased dramatically in recent years and this trend is expected to continue. It is essential for the therapy of diabetes that patients keep a diary. However, diary keeping is often incomplete and digitally supported diaries are poorly accepted by older patients. With the help of focus groups, we collected requirements for a digital diabetes diary and implemented them using a LiveScribe pen. This digitally augmented pen allows you to keep the diary traditionally on paper and still offer digital support. By digitizing an already known process, our solution achieves a high level of acceptance even among older people. The evaluation was carried out with the help of the TAM model and was used to quantify the effects of user factors. Typical predictors of acceptance do not work in our model, which we see as an indication that our pen is not perceived as technology in the classical sense.

[1]  Antonio Iera,et al.  The Internet of Things: A survey , 2010, Comput. Networks.

[2]  André Calero Valdez,et al.  From cloud computing to mobile Internet, from user focus to culture and hedonism: The crucible of mobile health care and Wellness applications , 2010, 5th International Conference on Pervasive Computing and Applications.

[3]  Charles E. Thorpe,et al.  Intelligent Diabetes Assistant: Using machine learning to help manage diabetes , 2008, 2008 IEEE/ACS International Conference on Computer Systems and Applications.

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

[5]  André Calero Valdez,et al.  Domestic Robots for Homecare: A Technology Acceptance Perspective , 2017, HCI.

[6]  A. Stone,et al.  Paper and electronic diaries: Too early for conclusions on compliance rates and their effects--Comment on Green, Rafaeli, Bolger, Shrout, and Reis (2006). , 2006, Psychological methods.

[7]  Gordon B. Davis,et al.  Anytime/anyplace computing and the future of knowledge work , 2002, CACM.

[8]  André Calero Valdez,et al.  Task performance in mobile and ambient interfaces. Does size matter for usability of electronic diabetes assistants? , 2010, 2010 International Conference on Information Society.

[9]  Ibrahim M. Baggili,et al.  Diabetic e-Management System (DEMS) , 2006, Third International Conference on Information Technology: New Generations (ITNG'06).

[10]  Judith K. Carlson.  What Do You Do With A Digital Pen , 2012 .

[11]  Mandy Scheermesser,et al.  User acceptance of pervasive computing in healthcare: Main findings of two case studies , 2008, Pervasive 2008.

[12]  Xiaojun Zhang,et al.  "Doctors Do Too Little Technology": A Longitudinal Field Study of an Electronic Healthcare System Implementation , 2011, Inf. Syst. Res..

[13]  Shoko Tani,et al.  Development of a Health Management Support System for Patients with Diabetes Mellitus at Home , 2010, Journal of Medical Systems.

[14]  André Calero Valdez,et al.  The Users' Perspective on the Privacy-Utility Trade-offs in Health Recommender Systems , 2018, Int. J. Hum. Comput. Stud..

[15]  André Calero Valdez,et al.  Mobile Devices Used for Medical Applications: Insights Won from a Usability Study with Diabetes Patients , 2011 .

[16]  Yunan Chen,et al.  Take it personally: accounting for individual difference in designing diabetes management systems , 2010, Conference on Designing Interactive Systems.

[17]  Nicole L. Kerkenbush.  A Comparison of Self-Documentation in Diabetics: Electronic Versus Paper Diaries , 2003, AMIA.

[18]  David Canning,et al.  Global Demographic Change: Dimensions and Economic Significance , 2004 .

[19]  Jacek Gwizdka,et al.  EEN: a pen-based electronic notebook for unintrusive acquisition of engineering design knowledge , 1996, Proceedings of WET ICE '96. IEEE 5th Workshop on Enabling Technologies; Infrastucture for Collaborative Enterprises.

[20]  Geert Jan Biessels,et al.  A detailed profile of cognitive dysfunction and its relation to psychological distress in patients with type 2 diabetes mellitus , 2007, Journal of the International Neuropsychological Society.

[21]  André Calero Valdez,et al.  Effects of Aging and Domain Knowledge on Usability in Small Screen Devices for Diabetes Patients , 2009, USAB.

[22]  Colum A. Gorman,et al.  DEMS - a second generation diabetes electronic management system , 2000, Comput. Methods Programs Biomed..

[23]  J. Silverstein,et al.  Diabetes Technologies and Their Role in Diabetes Management , 2009 .

[24]  Lora E Burke,et al.  Self-monitoring dietary intake: current and future practices. , 2005, Journal of renal nutrition : the official journal of the Council on Renal Nutrition of the National Kidney Foundation.

[25]  Katrien Verbert,et al.  Recommender Systems for Health Informatics: State-of-the-Art and Future Perspectives , 2016, Machine Learning for Health Informatics.

[26]  Bernhard Kulzer,et al.  Diagnostik, Therapie und Verlaufskontrolle des Diabetes mellitus im Alter , 2004 .

[27]  A. Rosenbloom,et al.  Emerging epidemic of type 2 diabetes in youth. , 1999, Diabetes care.

[28]  S. Shiffman,et al.  Patient non-compliance with paper diaries , 2002, BMJ : British Medical Journal.

[29]  André Calero Valdez,et al.  Chances of Increasing Youth Health Awareness through Mobile Wellness Applications , 2010, USAB.

[30]  André Calero Valdez,et al.  Openness to Accept Medical Technology - A Cultural View , 2011, USAB.

[31]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[32]  André Calero Valdez,et al.  Mobile Computing is not Always Advantageous: Lessons Learned from a Real-World Case Study in a Hospital , 2014, CD-ARES.

[33]  Samuel N Forjuoh,et al.  Improving diabetes self-care with a PDA in ambulatory care. , 2008, Telemedicine journal and e-health : the official journal of the American Telemedicine Association.

[34]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[35]  M. Sevick,et al.  The Effect of Electronic Self‐Monitoring on Weight Loss and Dietary Intake: A Randomized Behavioral Weight Loss Trial , 2011, Obesity.

[36]  André Calero Valdez.  Technology acceptance and diabetes: user centered design of small screen devices for diabetes patients , 2014 .

[37]  Martina Ziefle,et al.  Understanding age differences in PDA acceptance and performance , 2007, Comput. Hum. Behav..

[38]  Roger A Dixon,et al.  Exploring effects of type 2 diabetes on cognitive functioning in older adults. , 2009, Neuropsychology.

[39]  Martina Ziefle,et al.  Integrated Home Monitoring and Compliance Optimization for Patients with Mechanical Circulatory Support Devices , 2011, Annals of Biomedical Engineering.

[40]  C. Gregory,et al.  But I Want a Real Book : An Investigation of Undergraduates' Usage and Attitudes toward Electronic Books , 2008 .

[41]  Horst Siebert.  Economic Policy for Aging Societies , 2002 .

[42]  André Calero Valdez,et al.  Acceptance of a Digital Paper-based Diabetes Diary - Understanding Precursors of Acceptance of Digitally Assisted Diabetes Care , 2018, ICT4AWE.

[43]  Martina Ziefle,et al.  The influence of user expertise and phone complexity on performance, ease of use and learnability of different mobile phones , 2002, Behav. Inf. Technol..