Literature DB >> 31904594

Usability Evaluation of Four Top-Rated Commercially Available Diabetes Apps for Adults With Type 2 Diabetes.

Helen N C Fu1, Rubina F Rizvi, Jean F Wyman, Terrence J Adam.   

Abstract

Despite the many diabetes applications available, the rate of use is low, which may be associated with design issues. This study examined app usability compliance with heuristic design principles, guided by the Self-determination Theory on motivation. Four top-rated commercially available apps (Glucose Buddy, MyNetDiary, mySugr, and OnTrack) were tested for data recording, blood glucose analysis, and data sharing important for diabetes competence, autonomy, and connection with a healthcare provider. Four clinicians rated each app's compliance with Nielsen's 10 principles and its usability using the System Usability Scale. All four apps lacked one task function related to diabetes care competence or autonomy. Experts ranked app usability rated with the System Usability Scale: OnTrack (61) and Glucose Buddy (60) as a "D" and MyNetDairy (41) and mySugr (15) as an "F." A total of 314 heuristic violations were identified. The heuristic principle violated most frequently was "Help and Documentation" (n = 50), followed by "Error Prevention" (n = 45) and "Aesthetic and Minimalist Design" (n = 43). Four top-rated diabetes apps have "marginally acceptable" to "completely unacceptable." Future diabetes app design should target patient motivation and incorporate key heuristic design principles by providing tutorials with a help function, eliminating error-prone operations, and providing enhanced graphical or screen views.

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Year:  2020        PMID: 31904594      PMCID: PMC7710160          DOI: 10.1097/CIN.0000000000000596

Source DB:  PubMed          Journal:  Comput Inform Nurs        ISSN: 1538-2931            Impact factor:   2.146


  17 in total

Review 1.  Usability and clinical efficacy of diabetes mobile applications for adults with type 2 diabetes: A systematic review.

Authors:  Helen Fu; Siobhan K McMahon; Cynthia R Gross; Terrence J Adam; Jean F Wyman
Journal:  Diabetes Res Clin Pract       Date:  2017-06-21       Impact factor: 5.602

Review 2.  Health behavior models in the age of mobile interventions: are our theories up to the task?

Authors:  William T Riley; Daniel E Rivera; Audie A Atienza; Wendy Nilsen; Susannah M Allison; Robin Mermelstein
Journal:  Transl Behav Med       Date:  2011-03       Impact factor: 3.046

3.  DialBetics: A Novel Smartphone-based Self-management Support System for Type 2 Diabetes Patients.

Authors:  Kayo Waki; Hideo Fujita; Yuji Uchimura; Koji Omae; Eiji Aramaki; Shigeko Kato; Hanae Lee; Haruka Kobayashi; Takashi Kadowaki; Kazuhiko Ohe
Journal:  J Diabetes Sci Technol       Date:  2014-03-13

4.  An evaluation of patients' experienced usability of a diabetes mHealth system using a multi-method approach.

Authors:  Mattias Georgsson; Nancy Staggers
Journal:  J Biomed Inform       Date:  2015-11-27       Impact factor: 6.317

Review 5.  Rapid Evidence Review of Mobile Applications for Self-management of Diabetes.

Authors:  Stephanie Veazie; Kara Winchell; Jennifer Gilbert; Robin Paynter; Ilya Ivlev; Karen B Eden; Kerri Nussbaum; Nicole Weiskopf; Jeanne-Marie Guise; Mark Helfand
Journal:  J Gen Intern Med       Date:  2018-05-08       Impact factor: 5.128

6.  Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; Shoshana H Ballew; Ann L Gruber-Baldini
Journal:  Diabetes Care       Date:  2011-07-25       Impact factor: 19.112

7.  Evaluating diabetes mobile applications for health literate designs and functionality, 2014.

Authors:  Charlene A Caburnay; Kaitlin Graff; Jenine K Harris; Amy McQueen; Madeleine Smith; Maggie Fairchild; Matthew W Kreuter
Journal:  Prev Chronic Dis       Date:  2015-05-07       Impact factor: 2.830

8.  Trends in health care expenditure in U.S. adults with diabetes: 2002-2011.

Authors:  Mukoso N Ozieh; Kinfe G Bishu; Clara E Dismuke; Leonard E Egede
Journal:  Diabetes Care       Date:  2015-07-22       Impact factor: 19.112

Review 9.  Mobile applications for diabetics: a systematic review and expert-based usability evaluation considering the special requirements of diabetes patients age 50 years or older.

Authors:  Madlen Arnhold; Mandy Quade; Wilhelm Kirch
Journal:  J Med Internet Res       Date:  2014-04-09       Impact factor: 5.428

10.  Influence of Patient Characteristics and Psychological Needs on Diabetes Mobile App Usability in Adults With Type 1 or Type 2 Diabetes: Crossover Randomized Trial.

Authors:  Helen Nc Fu; Terrence J Adam; Joseph A Konstan; Julian A Wolfson; Thomas R Clancy; Jean F Wyman
Journal:  JMIR Diabetes       Date:  2019-04-30
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  4 in total

1.  Standardized evaluation of the quality and persuasiveness of mobile health applications for diabetes management.

Authors:  A Geirhos; M Stephan; M Wehrle; C Mack; E-M Messner; A Schmitt; H Baumeister; Y Terhorst; L B Sander
Journal:  Sci Rep       Date:  2022-03-07       Impact factor: 4.996

2.  User-Centered Design of A Novel Risk Prediction Behavior Change Tool Augmented With an Artificial Intelligence Engine (MyDiabetesIQ): A Sociotechnical Systems Approach.

Authors:  Cathy Shields; Scott G Cunningham; Deborah J Wake; Evridiki Fioratou; Doogie Brodie; Sam Philip; Nicholas T Conway
Journal:  JMIR Hum Factors       Date:  2022-02-08

3.  The My Diabetes Care Patient Portal Intervention: Usability and Pre-Post Assessment.

Authors:  William Martinez; Amber J Hackstadt; Gerald B Hickson; Thomas Knoerl; S Trent Rosenbloom; Kenneth A Wallston; Tom A Elasy
Journal:  Appl Clin Inform       Date:  2021-06-30       Impact factor: 2.762

4.  Content Analysis: First-Time Patient User Challenges with Top-Rated Commercial Diabetes Apps.

Authors:  Helen N C Fu; Diana Jin; Terrence J Adam
Journal:  Telemed J E Health       Date:  2020-08-13       Impact factor: 5.033

  4 in total

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