Literature DB >> 17561796

Continued use of an integrated meter with electronic logbook maintains improvements in glycemic control beyond a randomized, controlled trial.

Lori M B Laffel1, William C Hsu, Janet B McGill, Luigi Meneghini, Lisa K Volkening.   

Abstract

BACKGROUND: Blood glucose monitoring is an important component of diabetes self-management for individuals with insulin-treated diabetes. Although patient-maintained logbooks are routinely used, glucose values may be inaccurately recorded or not recorded at all. Electronic logbooks may help overcome such problems. We conducted a randomized, controlled trial (RCT) to compare glycemic control in insulin-treated participants using integrated glucose meters and electronic logbooks (Electronic Group) with participants using conventional meters and paper logbooks (Paper Group), and to determine persistence of glycemic improvements during long-term observational follow-up.
METHODS: After a 4-week run-in, adult and pediatric participants (n = 205) with stable hemoglobin A(1C) (A1C) >or=8.0% were randomized, and their logbook data and A1C were monitored every 4 weeks for 16 weeks. After the RCT, patients selected their monitoring systems and resumed usual care. The four resulting subgroups, defined by whether patients continued or changed monitoring systems, were reassessed after 26-65 weeks.
RESULTS: During the RCT, mean A1C decreased -0.27% in the Paper Group and -0.35% in the Electronic Group. Repeated-measures analysis revealed that the mean decrease was significantly greater in the Electronic than the Paper Group (P = 0.022). From randomization through observational follow-up, participants consistently using integrated meters/logbooks had an A1C decrease of -0.36% (P = 0.008), whereas participants using conventional meters/logbooks throughout or switching meters returned to pre-enrollment A1C levels.
CONCLUSIONS: Compared to conventional monitoring systems, use of an integrated meter and electronic logbook resulted in modest, but significant and sustained, improvement in A1C in insulin-treated patients with suboptimal glycemic control during an RCT and observational follow-up.

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Year:  2007        PMID: 17561796     DOI: 10.1089/dia.2006.0021

Source DB:  PubMed          Journal:  Diabetes Technol Ther        ISSN: 1520-9156            Impact factor:   6.118


  6 in total

1.  Use of Blood Glucose Meters Featuring Color Range Indicators Improves Glycemic Control in Patients With Diabetes in Comparison to Blood Glucose Meters Without Color (ACCENTS Study).

Authors:  Mike Grady; Laurence B Katz; Brian L Levy
Journal:  J Diabetes Sci Technol       Date:  2018-05-31

Review 2.  Asynchronous and synchronous teleconsultation for diabetes care: a systematic literature review.

Authors:  Fenne Verhoeven; Karin Tanja-Dijkstra; Nicol Nijland; Gunther Eysenbach; Lisette van Gemert-Pijnen
Journal:  J Diabetes Sci Technol       Date:  2010-05-01

3.  Frequency of mealtime insulin bolus predicts glycated hemoglobin in youths with type 1 diabetes.

Authors:  Susana R Patton; Stephen A DeLurgio; Amanda Fridlington; Cyndy Cohoon; Angela L Turpin; Mark A Clements
Journal:  Diabetes Technol Ther       Date:  2014-04-28       Impact factor: 6.118

Review 4.  Mitigating micro-and macro-vascular complications of diabetes beginning in adolescence.

Authors:  Daniel J Moore; Justin M Gregory; Yaa A Kumah-Crystal; Jill H Simmons
Journal:  Vasc Health Risk Manag       Date:  2009-11-23

Review 5.  Effects of consumer-oriented health information technologies in diabetes management over time: a systematic review and meta-analysis of randomized controlled trials.

Authors:  Da Tao; Tieyan Wang; Tieshan Wang; Shuang Liu; Xingda Qu
Journal:  J Am Med Inform Assoc       Date:  2017-09-01       Impact factor: 4.497

Review 6.  Technology and intensive management in youth with type 1 diabetes: state of the art.

Authors:  Jamie R Wood; Lori M B Laffel
Journal:  Curr Diab Rep       Date:  2007-04       Impact factor: 5.430

  6 in total

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