Literature DB >> 31097343

Uptake and use of a diabetes management program with a mobile glucometer.

Laura F Garabedian1, Dennis Ross-Degnan2, Robert F LeCates3, James F Wharam4.   

Abstract

OBJECTIVE: Innovative mobile health technologies (mHealth) may facilitate self-management of blood glucose. This study evaluates uptake, use, and predictors of uptake and long-term use of a diabetes mHealth intervention, which comprises an FDA-approved mobile glucometer and nurse coaching, in a real-world setting.
METHODS: n = 4438 commercially-insured adults with diabetes were recruited from 2014 to 2015 via an opt-in, phone-based process. In this post-only study, we obtained data on recruitment, glucometer use, demographics, and insurance and employer characteristics. We calculated percent uptake and reasons for unsuccessful recruitment. We used logistic regression to model predictors of uptake and survival analysis to examine duration of testing and predictors of discontinuation.
RESULTS: Of the recruited members, 556 (12.5%) signed up for the mHealth program and 324 (7.3%) began testing. Of those who did not sign up, the majority (70.6%) were unable to be reached by phone. Male (OR = 1.60, 95% CI: 1.25, 2.03) and Spanish-speaking (OR = 8.34, 95% CI: 5.40, 12.88) members were more likely to start testing. Two-thirds (66.2%) of those who started testing had a first test value that indicated hyperglycemia; 97% tested more than once and the median time between first and last test was 407 days. Older age was the only significant predictor of long-term use.
CONCLUSIONS: Although uptake of the mHealth program was low, most members who started testing had initial glucose values that indicated a need for better glucose management and the majority of patients engaged with the program for over a year. Male and Spanish-speaking members were more likely to initiate the program.
Copyright © 2019 Primary Care Diabetes Europe. Published by Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Diabetes; Glucometer; Self-management; mHealth

Year:  2019        PMID: 31097343     DOI: 10.1016/j.pcd.2019.03.010

Source DB:  PubMed          Journal:  Prim Care Diabetes        ISSN: 1878-0210            Impact factor:   2.459


  3 in total

1.  Predictors of mHealth use in promoting adherence to pre-exposure prophylaxis among female sex workers: an evaluation of the Jichunge intervention in Dar es Salaam, Tanzania.

Authors:  Christopher Mbotwa; Method Kazaura; Kåre Moen; Melkizedeck Leshabari; Emmy Metta; Germana Leyna; Elia J Mmbaga
Journal:  BMC Health Serv Res       Date:  2022-07-04       Impact factor: 2.908

Review 2.  Enrollment and Retention of Participants in Remote Digital Health Studies: Scoping Review and Framework Proposal.

Authors:  Paola Daniore; Vasileios Nittas; Viktor von Wyl
Journal:  J Med Internet Res       Date:  2022-09-09       Impact factor: 7.076

3.  My Diabetes Coach, a Mobile App-Based Interactive Conversational Agent to Support Type 2 Diabetes Self-Management: Randomized Effectiveness-Implementation Trial.

Authors:  Enying Gong; Shaira Baptista; Anthony Russell; Paul Scuffham; Michaela Riddell; Jane Speight; Dominique Bird; Emily Williams; Mojtaba Lotfaliany; Brian Oldenburg
Journal:  J Med Internet Res       Date:  2020-11-05       Impact factor: 5.428

  3 in total

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