Literature DB >> 23063047

Mobile health applications to assist patients with diabetes: lessons learned and design implications.

Eirik Årsand1, Dag Helge Frøisland, Stein Olav Skrøvseth, Taridzo Chomutare, Naoe Tatara, Gunnar Hartvigsen, James T Tufano.   

Abstract

Self-management is critical to achieving diabetes treatment goals. Mobile phones and Bluetooth® can supportself-management and lifestyle changes for chronic diseases such as diabetes. A mobile health (mHealth) research platform--the Few Touch Application (FTA)--is a tool designed to support the self-management of diabetes. The FTA consists of a mobile phone-based diabetes diary, which can be updated both manually from user input and automatically by wireless data transfer, and which provides personalized decision support for the achievement of personal health goals. Studies and applications (apps) based on FTAs have included: (1) automatic transfer of blood glucose (BG) data; (2) short message service (SMS)-based education for type 1diabetes (T1DM); (3) a diabetes diary for type 2 diabetes (T2DM); (4) integrating a patient diabetes diary with health care (HC) providers; (5) a diabetes diary for T1DM; (6) a food picture diary for T1DM; (7) physical activity monitoring for T2DM; (8) nutrition information for T2DM; (9) context sensitivity in mobile self-help tools; and (10) modeling of BG using mobile phones. We have analyzed the performance of these 10 FTA-based apps to identify lessons for designing the most effective mHealth apps. From each of the 10 apps of FTA, respectively, we conclude: (1) automatic BG data transfer is easy to use and provides reassurance; (2) SMS-based education facilitates parent-child communication in T1DM; (3) the T2DM mobile phone diary encourages reflection; (4) the mobile phone diary enhances discussion between patients and HC professionals; (5) the T1DM mobile phone diary is useful and motivational; (6) the T1DM mobile phone picture diary is useful in identifying treatment obstacles; (7) the step counter with automatic data transfer promotes motivation and increases physical activity in T2DM; (8) food information on a phone for T2DM should not be at a detailed level; (9) context sensitivity has good prospects and is possible to implement on today's phones; and (10) BG modeling on mobile phones is promising for motivated T1DM users. We expect that the following elements will be important in future FTA designs: (A) automatic data transfer when possible; (B) motivational and visual user interfaces; (C) apps with considerable health benefits in relation to the effort required; (D) dynamic usage, e.g., both personal and together with HC personnel, long-/short-term perspective; and (E) inclusion of context sensitivity in apps. We conclude that mHealth apps will empower patients to take a more active role in managing their own health.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 23063047      PMCID: PMC3570855          DOI: 10.1177/193229681200600525

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  16 in total

1.  Personal digital assistants are comparable to traditional diaries for dietary self-monitoring during a weight loss program.

Authors:  Bethany A Yon; Rachel K Johnson; Jean Harvey-Berino; Beth Casey Gold; Alan B Howard
Journal:  J Behav Med       Date:  2007-01-10

2.  Intensive diabetes treatment and cardiovascular disease in patients with type 1 diabetes.

Authors:  David M Nathan; Patricia A Cleary; Jye-Yu C Backlund; Saul M Genuth; John M Lachin; Trevor J Orchard; Philip Raskin; Bernard Zinman
Journal:  N Engl J Med       Date:  2005-12-22       Impact factor: 91.245

3.  Model driven mobile care for patients with type 1 diabetes.

Authors:  Stein Olav Skrøvseth; Eirik Arsand; Fred Godtliebsen; Ragnar M Joakimsen
Journal:  Stud Health Technol Inform       Date:  2012

4.  Diabetes education via mobile text messaging.

Authors:  Silje C Wangberg; Eirik Arsand; Niklas Andersson
Journal:  J Telemed Telecare       Date:  2006       Impact factor: 6.184

5.  PDA-assisted low glycemic index dietary intervention for type II diabetes: a pilot study.

Authors:  Y Ma; B C Olendzki; D Chiriboga; M Rosal; E Sinagra; S Crawford; A R Hafner; S L Pagoto; R P Magner; I S Ockene
Journal:  Eur J Clin Nutr       Date:  2006-05-17       Impact factor: 4.016

Review 6.  Diabetes management via mobile phones: a systematic review.

Authors:  Bree Holtz; Carolyn Lauckner
Journal:  Telemed J E Health       Date:  2012-02-22       Impact factor: 3.536

7.  User-centered methods for designing patient-centric self-help tools.

Authors:  Eirik Arsand; George Demiris
Journal:  Inform Health Soc Care       Date:  2008-09       Impact factor: 2.439

8.  A system for monitoring physical activity data among people with type 2 diabetes.

Authors:  Eirik Arsand; Odd-Arne Olsen; Ragnhild Varmedal; Willy Mortensen; Gunnar Hartvigsen
Journal:  Stud Health Technol Inform       Date:  2008

Review 9.  Mobile eHealth interventions for obesity: a timely opportunity to leverage convergence trends.

Authors:  James T Tufano; Bryant T Karras
Journal:  J Med Internet Res       Date:  2005-12-20       Impact factor: 5.428

10.  Parent-child interaction using a mobile and wireless system for blood glucose monitoring.

Authors:  Deede Gammon; Eirik Arsand; Ole Anders Walseth; Niklas Andersson; Martin Jenssen; Ted Taylor
Journal:  J Med Internet Res       Date:  2005-11-21       Impact factor: 5.428

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  64 in total

1.  Integrating visual dietary documentation in mobile-phone-based self-management application for adolescents with type 1 diabetes.

Authors:  Dag Helge Frøisland; Eirik Årsand
Journal:  J Diabetes Sci Technol       Date:  2015-04-21

2.  Applying the Concept of Nutrient-Profiling to Promote Healthy Eating and Raise Individuals' Awareness of the Nutritional Quality of their Food.

Authors:  Mayda A Alrige; Samir Chatterjee; Ernie Medina; Jeje Nuval
Journal:  AMIA Annu Symp Proc       Date:  2018-04-16

3.  Criteria for assessing the quality of mHealth apps: a systematic review.

Authors:  Rasool Nouri; Sharareh R Niakan Kalhori; Marjan Ghazisaeedi; Guillaume Marchand; Mobin Yasini
Journal:  J Am Med Inform Assoc       Date:  2018-08-01       Impact factor: 4.497

4.  Integrating family and friend support, information technology, and diabetes education in community-centric diabetes self-management.

Authors:  Christina Higa; Elizabeth J Davidson; Joanne R Loos
Journal:  J Am Med Inform Assoc       Date:  2021-02-15       Impact factor: 4.497

5.  Medical apps in endocrine diseases - hide and seek.

Authors:  Urs-Vito Albrecht; Ute von Jan
Journal:  Ther Adv Endocrinol Metab       Date:  2014-04       Impact factor: 3.565

Review 6.  What do we know about mobile applications for diabetes self-management? A review of reviews.

Authors:  Megan Hood; Rebecca Wilson; Joyce Corsica; Lauren Bradley; Diana Chirinos; Amanda Vivo
Journal:  J Behav Med       Date:  2016-07-13

7.  Data-Driven Personalized Feedback to Patients with Type 1 Diabetes: A Randomized Trial.

Authors:  Stein Olav Skrøvseth; Eirik Årsand; Fred Godtliebsen; Ragnar M Joakimsen
Journal:  Diabetes Technol Ther       Date:  2015-03-09       Impact factor: 6.118

8.  Living with Intoxication-Type Inborn Errors of Metabolism: A Qualitative Analysis of Interviews with Paediatric Patients and Their Parents.

Authors:  Nina A Zeltner; Markus A Landolt; Matthias R Baumgartner; Sarah Lageder; Julia Quitmann; Rachel Sommer; Daniela Karall; Chris Mühlhausen; Andrea Schlune; Sabine Scholl-Bürgi; Martina Huemer
Journal:  JIMD Rep       Date:  2016-08-13

9.  Harmonization and streamlining of research oversight for pragmatic clinical trials.

Authors:  P Pearl O'Rourke; Judith Carrithers; Bray Patrick-Lake; Todd W Rice; Jeremy Corsmo; Raffaella Hart; Marc K Drezner; John D Lantos
Journal:  Clin Trials       Date:  2015-09-15       Impact factor: 2.486

Review 10.  Mobile Applications for Control and Self Management of Diabetes: A Systematic Review.

Authors:  Petra Povalej Brzan; Eva Rotman; Majda Pajnkihar; Petra Klanjsek
Journal:  J Med Syst       Date:  2016-08-13       Impact factor: 4.460

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