Integrating Patient-Generated Wellness Data: A User-Centered Approach

An increasing number of women with Gestational Diabetes Mellitus (GDM) use commercially available mobile apps in order to monitor their diet, exercise regime, and glucose levels. To enable integrating patient wellness data generated by such apps into the centralized database of a clinical ecosystem, a proof–of concept system prototype was built as part of a larger study. Given the critical role system usability plays in healthcare information system acceptance and adoption the prototype was created iteratively, following a user-centered design (UCD) approach. The process allowed to refine user requirements and to identify potential usability. The study showed that the intended end-users of the system well versed in the use of information systems and had high expectations, most importantly about how well the system design was aligned with the anticipated use scenarios. The UCD approach was successful in developing a useful system prototype that met end-user requirements and expectations as it aided in understanding how user background and prior experience influenced end-user perceptions and views.

[1]  E. Gibney,et al.  Technology-supported dietary and lifestyle interventions in healthy pregnant women: a systematic review , 2014, European Journal of Clinical Nutrition.

[2]  Monique W. M. Jaspers,et al.  The think aloud method: a guide to user interface design , 2004, Int. J. Medical Informatics.

[3]  Ann Lantz,et al.  Design Versus design-From the Shaping of Products to the Creation of User Experiences , 2003, Int. J. Hum. Comput. Interact..

[4]  Austin Henderson,et al.  Interaction design: beyond human-computer interaction , 2002, UBIQ.

[5]  L. Tarassenko,et al.  Trial protocol to compare the efficacy of a smartphone-based blood glucose management system with standard clinic care in the gestational diabetic population , 2016, BMJ Open.

[6]  Paul Smith,et al.  "Think aloud" and "Near live" usability testing of two complex clinical decision support tools , 2017, Int. J. Medical Informatics.

[7]  Yoshimi Fukuoka,et al.  mHealth Physical Activity Intervention: A Randomized Pilot Study in Physically Inactive Pregnant Women , 2016, Maternal and Child Health Journal.

[8]  Elizabeth Murphy,et al.  A user-centred approach to requirements elicitation in medical device development: a case study from an industry perspective. , 2012, Applied ergonomics.

[9]  Glyn Lawson,et al.  Managing obesity through mobile phone applications: a state-of-the-art review from a user-centred design perspective , 2014, Personal and Ubiquitous Computing.

[10]  J. Leahy Effect of Treatment of Gestational Diabetes Mellitus on Pregnancy Outcomes , 2006 .

[11]  Vimla L. Patel,et al.  Usability testing in medical informatics: cognitive approaches to evaluation of information systems and user interfaces , 1997, AMIA.

[12]  D. Mozaffarian,et al.  Healthful Dietary Patterns and Type 2 Diabetes Mellitus Risk Among Women With a History of Gestational Diabetes Mellitus , 2012 .

[13]  Jakob Nielsen,et al.  A mathematical model of the finding of usability problems , 1993, INTERCHI.

[14]  Gregory D. Abowd,et al.  Human-Computer Interaction (3rd Edition) , 2003 .

[15]  Monique W. M. Jaspers,et al.  Uncovering healthcare practitioners' information processing using the think-aloud method: From paper-based guideline to clinical decision support system , 2016, Int. J. Medical Informatics.

[16]  Joseph L. Kannry,et al.  Integrating usability testing and think-aloud protocol analysis with "near-live" clinical simulations in evaluating clinical decision support , 2012, Int. J. Medical Informatics.

[17]  Robert A. Vigersky,et al.  Evolution of a web-based, prototype Personal Health Application for diabetes self-management , 2010, J. Biomed. Informatics.

[18]  Yvonne Rogers,et al.  Interaction Design: Beyond Human-Computer Interaction. Second Edition , 2007 .

[19]  W. Buxton Human-Computer Interaction , 1988, Springer Berlin Heidelberg.

[20]  L. Redman,et al.  Design of lifestyle intervention trials to prevent excessive gestational weight gain in women with overweight or obesity , 2016, Obesity.

[21]  Tashiro M. Fetal Is there a benefit to the treatment of mild gestational diabetes mellitus , 2010 .

[22]  Julie Fisher,et al.  User Centred Quality Health Information Provision: Benefits and Challenges , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[23]  S. Marceglia,et al.  A Standards-Based Architecture Proposal for Integrating Patient mHealth Apps to Electronic Health Record Systems , 2015, Applied Clinical Informatics.

[24]  Rachel Davey,et al.  Development and Pilot Testing of the Eating4two Mobile Phone App to Monitor Gestational Weight Gain , 2015, JMIR mHealth and uHealth.

[25]  Caroline A Crowther,et al.  Effect of treatment of gestational diabetes mellitus on pregnancy outcomes. , 2005, The New England journal of medicine.

[26]  E. Smets,et al.  Older Cancer Patients’ User Experiences With Web-Based Health Information Tools: A Think-Aloud Study , 2016, Journal of medical Internet research.

[27]  Josef Noll,et al.  Designing and Developing a Mobile Smartphone Application for Women with Gestational Diabetes Mellitus Followed-Up at Diabetes Outpatient Clinics in Norway , 2015, Healthcare.

[28]  ANNETTE DE VITO DABBS,et al.  User-Centered Design and Interactive Health Technologies for Patients , 2009, Computers, informatics, nursing : CIN.

[29]  Jan Gulliksen,et al.  Key principles for user-centred systems design , 2003, Behav. Inf. Technol..