User Centered Design to Improve Information Exchange in Diabetes Care Through eHealth

Heterogeneity of people with diabetes makes maintaining blood glucose control and achieving therapy adherence a challenge. It is fundamental that patients get actively involved in the management of the disease in their living environments. The objective of this paper is to evaluate the use and acceptance of a self-management system for diabetes developed with User Centered Design Principles in community settings. Persons with diabetes and health professionals were involved the design, development and evaluation of the self-management system; which comprised three iterative cycles: scenario definition, user archetype definition and system development. A comprehensive system was developed integrating modules for the management of blood glucose levels, medication, food intake habits, physical activity, diabetes education and messaging. The system was adapted for two types of principal users (personas): Type 1 Diabetes user and Type 2 Diabetes user. The system was evaluated by assessing the use, the compliance, the attractiveness and perceived usefulness in a multicenter randomized pilot study involving 20 patients and 24 treating professionals for a period of four weeks. Usage and compliance of the co-designed system was compared during the first and the last two weeks of the study, showing a significantly improved behaviour of patients towards the system for each of the modules. This resulted in a successful adoption by both type of personas. Only the medication module showed a significantly different use and compliance (p= 0.01) which can be explained by the different therapeutic course of the two types of diabetes. The involvement of patients to make their own decisions and choices form design stages was key for the adoption of a self-management system for diabetes.

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

[2]  Jakob Nielsen,et al.  Heuristic evaluation of user interfaces , 1990, CHI '90.

[3]  T. Bodenheimer,et al.  Patient self-management of chronic disease in primary care. , 2002, JAMA.

[4]  Michael Burmester,et al.  AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität , 2003, MuC.

[5]  Yuval Shahar,et al.  Distributed, intelligent, interactive visualization and exploration of time-oriented clinical data and their abstractions , 2006, Artif. Intell. Medicine.

[6]  Enrique J. Gómez,et al.  The INCA System: A Further Step Towards a Telemedical Artificial Pancreas , 2008, IEEE Transactions on Information Technology in Biomedicine.

[7]  Martin McKee,et al.  Caring for People with Chronic Conditions: A Health System Perspective , 2008 .

[8]  J. Dora,et al.  Standards of Medical Care in Diabetes—2008 , 2008, Diabetes Care.

[9]  Thodoris D. Karapantsios,et al.  Standards of Medical Care in Diabetes—2008 The recommendations in this article are based on the evidence reviewed in the following publication: Standards of care for diabetes (Technical Review). Diabetes Care 17:1514–1522, 1994. Originally approved 1988. Most recent review/revision, October 2007. , 2008, Diabetes Care.

[10]  D. Cook,et al.  Smart Home-Based Health Platform for Behavioral Monitoring and Alteration of Diabetes Patients , 2009, Journal of diabetes science and technology.

[11]  M. Durand,et al.  Salzburg statement on shared decision making , 2011, BMJ : British Medical Journal.

[12]  R. Thomson,et al.  Decision aids for people facing health treatment or screening decisions. , 2011, The Cochrane database of systematic reviews.

[13]  Giuseppe Fico,et al.  METABO: A new paradigm towards diabetes disease management. An innovative business model , 2011, 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[14]  E. Fisher,et al.  National Standards for Diabetes Self-Management Education and Support , 2012, Diabetes Care.

[15]  J. Shaw,et al.  The GIANT study, a cluster-randomised controlled trial of efficacy of education of doctors about type 2 diabetes mellitus management guidelines in primary care practice. , 2012, Diabetes research and clinical practice.

[16]  M. Barry,et al.  Shared decision making--pinnacle of patient-centered care. , 2012, The New England journal of medicine.

[17]  Chris D. Nugent,et al.  Flexible and customizable visualization of data generated within Intelligent Environments , 2012, 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

[18]  B. Draznin,et al.  Pathways to Quality Inpatient Management of Hyperglycemia and Diabetes: A Call to Action , 2013, Diabetes Care.

[19]  Alejandro Enrique Flores,et al.  Functionalities of open electronic health records system: A follow-up study , 2013, 2013 6th International Conference on Biomedical Engineering and Informatics.

[20]  E. Fisher,et al.  National Standards for Diabetes Self-Management Education and Support , 2013, Diabetes Care.

[21]  D. Matthews,et al.  Management of Hyperglycemia in Type 2 Diabetes, 2015: A Patient-Centered Approach: Update to a Position Statement of the American Diabetes Association and the European Association for the Study of Diabetes , 2014, Diabetes Care.

[22]  Dario Salvi,et al.  Automatic messaging for improving patients engagement in diabetes management: an exploratory study , 2014, Medical & Biological Engineering & Computing.

[23]  Charlene C. Quinn,et al.  Mobile Diabetes Intervention for Glycemic Control , 2014, Journal of diabetes science and technology.

[24]  Claudio Cobelli,et al.  User Requirements for Incorporating Diabetes Modeling Techniques in Disease Management Tools , 2015 .

[25]  Konstantina S. Nikita,et al.  A Review of Emerging Technologies for the Management of Diabetes Mellitus , 2015, IEEE Transactions on Biomedical Engineering.

[26]  Vicente Traver,et al.  Performance assessment of a closed-loop system for diabetes management , 2015, Medical & Biological Engineering & Computing.

[27]  E. Gakidou,et al.  Identifying High-Risk Neighborhoods Using Electronic Medical Records: A Population-Based Approach for Targeting Diabetes Prevention and Treatment Interventions , 2016, PloS one.

[28]  María Teresa Arredondo,et al.  Integration of Personalized Healthcare Pathways in an ICT Platform for Diabetes Managements: A Small-Scale Exploratory Study , 2016, IEEE Journal of Biomedical and Health Informatics.

[29]  A. Gnasso,et al.  Diabetes Data Management System to Improve Glycemic Control in People With Type 1 Diabetes: Prospective Cohort Study , 2017, JMIR mHealth and uHealth.

[30]  Mauro Raciti,et al.  Development of an integrated ICT system for data production, standardization and elaboration in health & care , 2017, 2017 E-Health and Bioengineering Conference (EHB).

[31]  Borim Ryu,et al.  Impact of an Electronic Health Record-Integrated Personal Health Record on Patient Participation in Health Care: Development and Randomized Controlled Trial of MyHealthKeeper , 2017, Journal of medical Internet research.

[32]  Garry Choy,et al.  Optimizing the Use of Electronic Health Records to Identify High-Risk Psychosocial Determinants of Health , 2017, JMIR medical informatics.

[33]  W. Herman,et al.  Treatment of Type 1 Diabetes: Synopsis of the 2017 American Diabetes Association Standards of Medical Care in Diabetes , 2017, Annals of Internal Medicine.

[34]  Yi Guo,et al.  Mobile Apps for the Management of Diabetes , 2017, Diabetes Care.

[35]  France Légaré,et al.  Decision aids for people facing health treatment or screening decisions. , 2017, The Cochrane database of systematic reviews.

[36]  Raimondo Schettini,et al.  Semantic segmentation of food images for automatic dietary monitoring , 2018, 2018 26th Signal Processing and Communications Applications Conference (SIU).