Journal ArticleDOI
WellDoc mobile diabetes management randomized controlled trial: change in clinical and behavioral outcomes and patient and physician satisfaction.
Charlene C. Quinn,Suzanne Sysko Clough,James M. Minor,Dan Lender,Maria C. Okafor,Ann L. Gruber-Baldini +5 more
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TLDR
Adults with type 2 diabetes using WellDoc's software achieved statistically significant improvements in A1c and patient satisfaction with the system was clinically and statistically significant.Abstract:
Background: Less than 63% of individuals with diabetes meet professional guidelines target of hemoglobin A1c <7.0%, and only 7% meet combined glycemic, lipid, and blood pressure goals. The primary study aim was to assess the impact on A1c of a cell phone-based diabetes management software system used with web-based data analytics and therapy optimization tools. Secondary aims examined health care provider (HCP) adherence to prescribing guidelines and assessed HCPs' adoption of the technology. Methods: Thirty patients with type 2 diabetes were recruited from three community physician practices for a 3-month study and evenly randomized. The intervention group received cell phone-based software designed by endocrinologists and CDEs (WellDoc™ Communications, Inc., Baltimore, MD). The software provided real-time feedback on patients' blood glucose levels, displayed patients' medication regimens, incorporated hypo- and hyperglycemia treatment algorithms, and requested additional data needed to evaluate...read more
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The Effectiveness of Mobile-Health Technology-Based Health Behaviour Change or Disease Management Interventions for Health Care Consumers: A Systematic Review
Caroline Free,Gemma Phillips,Leandro Galli,Louise Watson,Lambert Felix,Phil Edwards,Vikram Patel,Andy Haines +7 more
TL;DR: It is concluded that high-quality, adequately powered trials of optimized interventions are required to evaluate effects on objective outcomes.
Journal ArticleDOI
Health behavior models in the age of mobile interventions: are our theories up to the task?
William T. Riley,Daniel E. Rivera,Audie A. Atienza,Wendy Nilsen,Susannah Allison,Robin J. Mermelstein +5 more
TL;DR: Current theories appear inadequate to inform mobile intervention development as these interventions become more interactive and adaptive, and Dynamic feedback system theories of health behavior can be developed utilizing longitudinal data from mobile devices and control systems engineering models.
Journal ArticleDOI
Impact of mHealth Chronic Disease Management on Treatment Adherence and Patient Outcomes: A Systematic Review
TL;DR: There is potential for mHealth tools to better facilitate adherence to chronic disease management, but the evidence supporting its current effectiveness is mixed.
Journal ArticleDOI
Cluster-randomized trial of a mobile phone personalized behavioral intervention for blood glucose control.
Charlene C. Quinn,Michelle Shardell,Michael L. Terrin,Erik Barr,Shoshana H. Ballew,Ann L. Gruber-Baldini +5 more
TL;DR: The combination of behavioral mobile coaching with blood glucose data, lifestyle behaviors, and patient self-management data individually analyzed and presented with evidence-based guidelines to providers substantially reduced glycated hemoglobin levels over 1 year.
Journal ArticleDOI
Mapping mHealth Research: A Decade of Evolution
TL;DR: Research interest in mHealth is growing, together with an increasing complexity in research designs and aim specifications, as well as a diversification of the impact areas, and a shift from assessment of the technology itself to assessment of its impact is observed.
References
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Journal ArticleDOI
Economic costs of diabetes in the US in 2002.
TL;DR: In this paper, the authors estimated the direct medical and indirect productivity-related costs attributable to diabetes and calculated and compared the total and per capita medical expenditures for people with and without diabetes.
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Economic Costs of Diabetes in the U.S. in 2002
TL;DR: The authors in this article estimated the direct medical and indirect productivity-related costs attributable to diabetes and calculated the total and per capita medical expenditures for people with and without diabetes in the United States.
Journal ArticleDOI
The summary of diabetes self-care activities measure: results from 7 studies and a revised scale.
TL;DR: The revised version of the Summary of Diabetes Self-Care Activities (SDSCA) measure is presented, and the inclusion of this measure in studies of diabetes self-management is recommended when appropriate.
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Lifetime Risk for Diabetes Mellitus in the United States
K.M. Venkat Narayan,James P. Boyle,Theodore J. Thompson,Stephen W. Sorensen,David F. Williamson +4 more
TL;DR: For individuals born in the United States in 2000, the lifetime probability of being diagnosed with diabetes mellitus is substantial and primary prevention of diabetes and its complications are important public health priorities.
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Poor Control of Risk Factors for Vascular Disease Among Adults With Previously Diagnosed Diabetes
TL;DR: Participants with previously diagnosed diabetes in NHANES 1999-2000 were similar by age and sex, were less likely to be non-Hispanic white, were diagnosed at an earlier age, had a higher body mass index, and were more likely to use insulin in combination with oral agents.