Literature DB >> 29740786

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

Stephanie Veazie1, Kara Winchell2, Jennifer Gilbert2, Robin Paynter2, Ilya Ivlev3, Karen B Eden3, Kerri Nussbaum3, Nicole Weiskopf3, Jeanne-Marie Guise2,4, Mark Helfand3,5.   

Abstract

BACKGROUND: Patients with diabetes lack information on which commercially available applications (apps) improve diabetes-related outcomes. We conducted a rapid evidence review to examine features, clinical efficacy, and usability of apps for self-management of type 1 and type 2 diabetes in adults.
METHODS: Ovid/Medline and the Cochrane Database of Systematic Reviews were searched for systematic reviews and technology assessments. Reference lists of relevant systematic reviews were examined for primary studies. Additional searches for primary studies were conducted online, through Ovid/Medline, Embase, CINAHL, and ClinicalTrials.gov . Studies were evaluated for eligibility based on predetermined criteria, data were extracted, study quality was assessed using a risk of bias tool, information on app features was collected, and app usability was assessed. Results are summarized qualitatively.
RESULTS: Fifteen articles evaluating 11 apps were identified: six apps for type 1 and five apps for type 2 diabetes. Common features of apps included setting reminders and tracking blood glucose and hemoglobin A1c (HbA1c), medication use, physical activity, and weight. Compared with controls, use of eight apps, when paired with support from a healthcare provider or study staff, improved at least one outcome, most often HbA1c. Patients did not experience improvements in quality of life, blood pressure, or weight, regardless of app used or type of diabetes. Study quality was variable. Of the eight apps available for usability testing, two were scored "acceptable," three were "marginal," and three were "not acceptable." DISCUSSION: Limited evidence suggests that use of some commercially available apps, when combined with additional support from a healthcare provider or study staff, may improve some short-term diabetes-related outcomes. The impact of these apps on longer-term outcomes is unclear. More rigorous and longer-term studies of apps are needed. REGISTRATION: This review was funded by the Agency for Healthcare Research and Quality (AHRQ). The protocol is available at: http://www.effectivehealthcare.ahrq.gov/topics/diabetes-mobile-devices/research-protocol .

Entities:  

Keywords:  consumer health informatics; decision making; diabetes; self-management; telemedicine

Mesh:

Year:  2018        PMID: 29740786      PMCID: PMC6025680          DOI: 10.1007/s11606-018-4410-1

Source DB:  PubMed          Journal:  J Gen Intern Med        ISSN: 0884-8734            Impact factor:   5.128


  23 in total

Review 1.  Do Mobile Phone Applications Improve Glycemic Control (HbA1c) in the Self-management of Diabetes? A Systematic Review, Meta-analysis, and GRADE of 14 Randomized Trials.

Authors:  Can Hou; Ben Carter; Jonathan Hewitt; Trevor Francisa; Sharon Mayor
Journal:  Diabetes Care       Date:  2016-11       Impact factor: 19.112

2.  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

3.  Welltang - A smart phone-based diabetes management application - Improves blood glucose control in Chinese people with diabetes.

Authors:  Weibin Zhou; Min Chen; Jingyun Yuan; Yan Sun
Journal:  Diabetes Res Clin Pract       Date:  2016-04-26       Impact factor: 5.602

Review 4.  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

5.  Mobile Diabetes Intervention for Glycemic Control in 45- to 64-Year-Old Persons With Type 2 Diabetes.

Authors:  Charlene C Quinn; Michelle D Shardell; Michael L Terrin; Erik A Barr; DoHwan Park; Faraz Shaikh; Jack M Guralnik; Ann L Gruber-Baldini
Journal:  J Appl Gerontol       Date:  2014-08-06

6.  Impact of the "Diabetes Interactive Diary" telemedicine system on metabolic control, risk of hypoglycemia, and quality of life: a randomized clinical trial in type 1 diabetes.

Authors:  Maria Chiara Rossi; Antonio Nicolucci; Giuseppe Lucisano; Fabio Pellegrini; Paolo Di Bartolo; Valerio Miselli; Roberto Anichini; Giacomo Vespasiani
Journal:  Diabetes Technol Ther       Date:  2013-07-11       Impact factor: 6.118

7.  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

8.  Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy.

Authors:  Yuan Wu; Xun Yao; Giacomo Vespasiani; Antonio Nicolucci; Yajie Dong; Joey Kwong; Ling Li; Xin Sun; Haoming Tian; Sheyu Li
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-14       Impact factor: 4.773

9.  Diabetes Interactive Diary: a new telemedicine system enabling flexible diet and insulin therapy while improving quality of life: an open-label, international, multicenter, randomized study.

Authors:  Maria C E Rossi; Antonio Nicolucci; Paolo Di Bartolo; Daniela Bruttomesso; Angela Girelli; Francisco J Ampudia; David Kerr; Antonio Ceriello; Carmen De La Questa Mayor; Fabio Pellegrini; David Horwitz; Giacomo Vespasiani
Journal:  Diabetes Care       Date:  2009-10-06       Impact factor: 19.112

Review 10.  A review of telehealth service implementation frameworks.

Authors:  Liezl van Dyk
Journal:  Int J Environ Res Public Health       Date:  2014-01-23       Impact factor: 3.390

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  35 in total

1.  Self-monitoring diabetes with multiple mobile health devices.

Authors:  Ryan J Shaw; Q Yang; A Barnes; D Hatch; M J Crowley; A Vorderstrasse; J Vaughn; A Diane; A A Lewinski; M Jiang; J Stevenson; D Steinberg
Journal:  J Am Med Inform Assoc       Date:  2020-05-01       Impact factor: 4.497

2.  Patient Input for Design of a Decision Support Smartphone Application for Type 1 Diabetes.

Authors:  Leah M Wilson; Nichole Tyler; Peter G Jacobs; Virginia Gabo; Brian Senf; Ravi Reddy; Jessica R Castle
Journal:  J Diabetes Sci Technol       Date:  2019-08-23

3.  2021 ISHNE/HRS/EHRA/APHRS Expert Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia-Pacific Heart Rhythm Society.

Authors:  Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yu-Feng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-02-12

Review 4.  Patient Use of Cardiovascular Devices and Apps: Are We Getting Our Money's Worth?

Authors:  Kimberly Aguillard; Arthur Garson
Journal:  Methodist Debakey Cardiovasc J       Date:  2020 Oct-Dec

5.  2021 ISHNE/HRS/EHRA/APHRS Collaborative Statement on mHealth in Arrhythmia Management: Digital Medical Tools for Heart Rhythm Professionals: From the International Society for Holter and Noninvasive Electrocardiology/Heart Rhythm Society/European Heart Rhythm Association/Asia Pacific Heart Rhythm Society.

Authors:  Niraj Varma; Iwona Cygankiewicz; Mintu P Turakhia; Hein Heidbuchel; Yufeng Hu; Lin Yee Chen; Jean-Philippe Couderc; Edmond M Cronin; Jerry D Estep; Lars Grieten; Deirdre A Lane; Reena Mehra; Alex Page; Rod Passman; Jonathan P Piccini; Ewa Piotrowicz; Ryszard Piotrowicz; Pyotr G Platonov; Antonio Luiz Ribeiro; Robert E Rich; Andrea M Russo; David Slotwiner; Jonathan S Steinberg; Emma Svennberg
Journal:  Cardiovasc Digit Health J       Date:  2021-01-29

Review 6.  App-Based Insulin Calculators: Current and Future State.

Authors:  Leslie Eiland; Meghan McLarney; Thiyagarajan Thangavelu; Andjela Drincic
Journal:  Curr Diab Rep       Date:  2018-10-04       Impact factor: 4.810

Review 7.  Diabetes Treatment in the Elderly: Incorporating Geriatrics, Technology, and Functional Medicine.

Authors:  Willy Marcos Valencia; Diana Botros; Maria Vera-Nunez; Stuti Dang
Journal:  Curr Diab Rep       Date:  2018-09-05       Impact factor: 4.810

8.  Do Smartphone Applications Hold the Secret to Reducing Hypoglycemia in Type 1 Diabetes?

Authors:  Bithika Thompson
Journal:  J Diabetes Sci Technol       Date:  2018-09-12

9.  Antecedents of Intention to Adopt Mobile Health (mHealth) Application and Its Impact on Intention to Recommend: An Evidence from Indonesian Customers.

Authors:  Gilbert Sterling Octavius; Ferdi Antonio
Journal:  Int J Telemed Appl       Date:  2021-04-30

Review 10.  A Scoping Review and General User's Guide for Facilitating the Successful Use of eHealth Programs for Diabetes in Clinical Care.

Authors:  Lawrence Fisher; Russell E Glasgow; Amy Huebschmann
Journal:  Diabetes Technol Ther       Date:  2020-08-31       Impact factor: 6.118

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