Literature DB >> 27520615

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

Petra Povalej Brzan1,2, Eva Rotman3, Majda Pajnkihar3, Petra Klanjsek3.   

Abstract

Mobile applications (apps) can be very useful software on smartphones for all aspects of people's lives. Chronic diseases, such as diabetes, can be made manageable with the support of mobile apps. Applications on smartphones can also help people with diabetes to control their fitness and health. A systematic review of free apps in the English language for smartphones in three of the most popular mobile app stores: Google Play (Android), App Store (iOS) and Windows Phone Store, was performed from November to December 2015. The review of freely available mobile apps for self-management of diabetes was conducted based on the criteria for promoting diabetes self-management as defined by Goyal and Cafazzo (monitoring blood glucose level and medication, nutrition, physical exercise and body weight). The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) was followed. Three independent experts in the field of healthcare-related mobile apps were included in the assessment for eligibility and testing phase. We tested and evaluated 65 apps (21 from Google Play Store, 31 from App Store and 13 from Windows Phone Store). Fifty-six of these apps did not meet even minimal requirements or did not work properly. While a wide selection of mobile applications is available for self-management of diabetes, current results show that there are only nine (5 from Google Play Store, 3 from App Store and 1 from Windows Phone Store) out of 65 reviewed mobile apps that can be versatile and useful for successful self-management of diabetes based on selection criteria. The levels of inclusion of features based on selection criteria in selected mobile apps can be very different. The results of the study can be used as a basis to prvide app developers with certain recommendations. There is a need for mobile apps for self-management of diabetes with more features in order to increase the number of long-term users and thus influence better self-management of the disease.

Entities:  

Keywords:  Health; Mobile apps; Self-management of diabetes

Mesh:

Year:  2016        PMID: 27520615     DOI: 10.1007/s10916-016-0564-8

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  30 in total

1.  iDECIDE: A Mobile Application for Insulin Dosing Using an Evidence Based Equation to Account for Patient Preferences.

Authors:  Buffy Lloyd; Danielle Groat; Curtiss B Cook; David Kaufman; Adela Grando
Journal:  Stud Health Technol Inform       Date:  2015

Review 2.  Self-monitoring of blood glucose in patients with type 2 diabetes who are not using insulin: a systematic review.

Authors:  Laura M C Welschen; Evelien Bloemendal; Giel Nijpels; Jacqueline M Dekker; Robert J Heine; Wim A B Stalman; Lex M Bouter
Journal:  Diabetes Care       Date:  2005-06       Impact factor: 19.112

3.  Smartphone medication adherence apps: potential benefits to patients and providers: response to Aungst.

Authors:  Lindsey Dayer; Seth Heldenbrand; Paul Anderson; Paul O Gubbins; Bradley C Martin
Journal:  J Am Pharm Assoc (2003)       Date:  2013 Jul-Aug

Review 4.  Mobile applications for diabetes self-management: status and potential.

Authors:  Omar El-Gayar; Prem Timsina; Nevine Nawar; Wael Eid
Journal:  J Diabetes Sci Technol       Date:  2013-01-01

5.  Performance of the first combined smartwatch and smartphone diabetes diary application study.

Authors:  Eirik Årsand; Miroslav Muzny; Meghan Bradway; Jan Muzik; Gunnar Hartvigsen
Journal:  J Diabetes Sci Technol       Date:  2015-01-14

6.  Mobile phone-based pattern recognition and data analysis for patients with type 1 diabetes.

Authors:  Stein Olav Skrøvseth; Eirik Årsand; Fred Godtliebsen; Gunnar Hartvigsen
Journal:  Diabetes Technol Ther       Date:  2012-10-04       Impact factor: 6.118

Review 7.  Mobile health applications to assist patients with diabetes: lessons learned and design implications.

Authors:  Eirik Årsand; Dag Helge Frøisland; Stein Olav Skrøvseth; Taridzo Chomutare; Naoe Tatara; Gunnar Hartvigsen; James T Tufano
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

8.  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

9.  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

10.  Security and privacy issues in wireless sensor networks for healthcare applications.

Authors:  Moshaddique Al Ameen; Jingwei Liu; Kyungsup Kwak
Journal:  J Med Syst       Date:  2010-03-12       Impact factor: 4.460

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  33 in total

1.  Overcoming Barriers to Adoption of Digital Health Tools for Diabetes.

Authors:  David C Klonoff; David Kerr
Journal:  J Diabetes Sci Technol       Date:  2017-10-03

2.  Mobile technology for self-monitoring of blood glucose among patients with type 2 diabetes mellitus.

Authors:  Steven S Coughlin
Journal:  Mhealth       Date:  2017-10-30

3.  What Is Offered on Mobile Applications in Spanish About Diabetes Mellitus?

Authors:  Paul Jesús Tejada-Llacsa; Stalin Yance-Contreras; Leidy Machuca-Felipa; Carlos A Cordova-Cassia
Journal:  J Diabetes Sci Technol       Date:  2017-11-15

4.  Design and Testing of a Smartphone Application for Real-Time Self-Tracking Diabetes Self-Management Behaviors.

Authors:  Danielle Groat; Hiral Soni; Maria Adela Grando; Bithika Thompson; David Kaufman; Curtiss B Cook
Journal:  Appl Clin Inform       Date:  2018-06-20       Impact factor: 2.342

5.  A mobile health monitoring-and-treatment system based on integration of the SSN sensor ontology and the HL7 FHIR standard.

Authors:  Shaker El-Sappagh; Farman Ali; Abdeltawab Hendawi; Jun-Hyeog Jang; Kyung-Sup Kwak
Journal:  BMC Med Inform Decis Mak       Date:  2019-05-10       Impact factor: 2.796

6.  Continuous Glucose Monitoring: Current Use in Diabetes Management and Possible Future Applications.

Authors:  Martina Vettoretti; Giacomo Cappon; Giada Acciaroli; Andrea Facchinetti; Giovanni Sparacino
Journal:  J Diabetes Sci Technol       Date:  2018-05-22

7.  Review of the Content and Quality of Mobile Applications About Alzheimer's Disease and Related Dementias.

Authors:  Seul Ki Choi; Brooks Yelton; Victor K Ezeanya; Kristie Kannaley; Daniela B Friedman
Journal:  J Appl Gerontol       Date:  2018-07-26

8.  The Development of a Personalized Symptom Management Mobile Health Application for Persons Living with HIV in China.

Authors:  Shuyu Han; Yaolin Pei; Lina Wang; Yan Hu; Xiang Qi; Rui Zhao; Lin Zhang; Wenxiu Sun; Zheng Zhu; Bei Wu
Journal:  J Pers Med       Date:  2021-04-25

9.  Design and Development of a Mobile-Based Self-Care Application for Patients with Type 2 Diabetes.

Authors:  Esmaeil Mehraeen; Mohammad Mehrtak; Nazanin Janfaza; Amirali Karimi; Mohammad Heydari; Pegah Mirzapour; Adele Mehranfar
Journal:  J Diabetes Sci Technol       Date:  2021-04-10

10.  Web-Based TangPlan and WeChat Combination to Support Self-management for Patients With Type 2 Diabetes: Randomized Controlled Trial.

Authors:  Shu-Fang Xia; Gusonghan Maitiniyazi; Yue Chen; Xiao-Ya Wu; Yu Zhang; Xiao-Yan Zhang; Zi-Yuan Li; Yuan Liu; Yu-Yu Qiu; Jun Wang
Journal:  JMIR Mhealth Uhealth       Date:  2022-03-30       Impact factor: 4.773

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