Literature DB >> 19250979

Mobile diabetes intervention study: testing a personalized treatment/behavioral communication intervention for blood glucose control.

Charlene C Quinn1, Ann L Gruber-Baldini, Michelle Shardell, Kelly Weed, Suzanne S Clough, Malinda Peeples, Michael Terrin, Lauren Bronich-Hall, Erik Barr, Dan Lender.   

Abstract

BACKGROUND: National data find glycemic control is within target (A1c<7.0%) for 37% of patients with diabetes, and only 7% meet recommended glycemic, lipid, and blood pressure goals.
OBJECTIVES: To compare active interventions and usual care for glucose control in a randomized clinical trial (RCT) among persons with diabetes cared for by primary care physicians (PCPs) over the course of 1 year.
METHODS: Physician practices (n=36) in 4 geographic areas are randomly assigned to 1 of 4 study groups. The intervention is a diabetes communication system, using mobile phones and patient/physician portals to allow patient-specific treatment and communication. All physicians receive American Diabetes Association (ADA) Guidelines for diabetes care. Patients with poor diabetes control (A1c> or =7.5%) at baseline (n=260) are enrolled in study groups based on PCP randomization. All study patients receive blood glucose (BG) meters and a year's supply of testing materials. Patients in three treatment groups select one of two mobile phone models, receive one-year unlimited mobile phone data and service plan, register on the web-based individual patient portal and receive study treatment phone software based on study assignment. Control group patients receive usual care from their PCP. The primary outcome is mean change in A1c over a 12-month intervention period.
CONCLUSION: Traditional methods of disease management have not achieved adequate control for BG and other conditions important to persons with diabetes. Tools to improve communication between patients and PCPs may improve patient outcomes and be satisfactory to patients and physicians. This RCT is ongoing.

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Year:  2009        PMID: 19250979     DOI: 10.1016/j.cct.2009.02.004

Source DB:  PubMed          Journal:  Contemp Clin Trials        ISSN: 1551-7144            Impact factor:   2.226


  33 in total

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3.  The missing element of telemedicine for diabetes: decision support software.

Authors:  David C Klonoff; Mark W True
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Review 4.  Psychological interventions for diabetes-related distress in adults with type 2 diabetes mellitus.

Authors:  Boon How Chew; Rimke C Vos; Maria-Inti Metzendorf; Rob Jpm Scholten; Guy Ehm Rutten
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5.  Patient understanding of diabetes self-management: participatory decision-making in diabetes care.

Authors:  Charlene C Quinn; Renee Royak-Schaler; Dan Lender; Nanette Steinle; Shahinaz Gadalla; Min Zhan
Journal:  J Diabetes Sci Technol       Date:  2011-05-01

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Authors:  Neal D Kaufman; Paula D Patnoe Woodley
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Authors:  N Archer; U Fevrier-Thomas; C Lokker; K A McKibbon; S E Straus
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Review 8.  Future prospects of health management systems using cellular phones.

Authors:  Hun-Sung Kim; Yunji Hwang; Jae-Ho Lee; Hye Young Oh; Yi-Jun Kim; Hyeon Yoon Kwon; Hyoseung Kang; Hyunah Kim; Rae Woong Park; Ju Han Kim
Journal:  Telemed J E Health       Date:  2014-04-02       Impact factor: 3.536

9.  Using mHealth Tools to Improve Rural Diabetes Care Guided by the Chronic Care Model.

Authors:  Jennifer A Mallow; Laurie A Theeke; Emily R Barnes; Tara Whetsel; Brian K Mallow
Journal:  Online J Rural Nurs Health Care       Date:  2014

Review 10.  The impact of mobile monitoring technologies on glycosylated hemoglobin in diabetes: a systematic review.

Authors:  Justine Baron; Hayley McBain; Stanton Newman
Journal:  J Diabetes Sci Technol       Date:  2012-09-01
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