Literature DB >> 23911171

Importance of manually entering blood glucose readings when wireless-compatible meters are not being used with an insulin pump.

Kimberly A Driscoll1, Suzanne Bennett Johnson, Yuxia Wang, Yuanyuan Tang, Elizabeth C Gill, Adela Mitchell, Nancy Wright, Larry C Deeb.   

Abstract

BACKGROUND: The objective was to determine if there were differences in blood glucose monitoring (BGM) data downloaded from insulin pumps of patients who use meters that wirelessly transmit data to their insulin pumps (i.e., wireless group) and those who do not (i.e., nonwireless group).
METHODS: Blood glucose monitoring data were downloaded from the meters and insulin pumps of 47 children and adolescents with type 1 diabetes mellitus. Independent and paired t tests compared BGM data downloaded from meters and BGM data downloaded from insulin pumps.
RESULTS: There were significant differences in BGM data downloaded from the insulin pumps of patients using wireless meters compared to those using nonwireless meters. Wireless patients appeared to engage in more BGM, had more low and in-range BG readings and fewer very high BG readingss than nonwireless patients. However, a comparison of BGM data downloaded from meters and insulin pumps of nonwireless patients indicated that their insulin pump data significantly underestimated the number of BGM readings conducted, as well as the number of low and in-range readings, while overestimating the number of very high BGM readings.
CONCLUSIONS: Because patients who use nonwireless-compatible meters do not manually enter their low and in-range BGM readings into the insulin pump, BGM data downloaded only from pumps may provide an incomplete representation of BGM frequency or results. It is recommended that patients use meters that directly communicate with pumps or perform bolus calculations. Patients should be educated about the importance of manually entering all BGM readings if they do not use a wireless-compatible meter with their insulin pump.
© 2013 Diabetes Technology Society.

Entities:  

Mesh:

Substances:

Year:  2013        PMID: 23911171      PMCID: PMC3879754          DOI: 10.1177/193229681300700412

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


  7 in total

1.  A two-center randomized controlled feasibility trial of insulin pump therapy in young children with diabetes.

Authors:  Darrell M Wilson; Bruce A Buckingham; Elizabeth L Kunselman; Mary M Sullivan; Helen U Paguntalan; Stephen E Gitelman
Journal:  Diabetes Care       Date:  2005-01       Impact factor: 19.112

2.  Comparison of the effects of continuous subcutaneous insulin infusion (CSII) and NPH-based multiple daily insulin injections (MDI) on glycaemic control and quality of life: results of the 5-nations trial.

Authors:  R P L M Hoogma; P J Hammond; R Gomis; D Kerr; D Bruttomesso; K P Bouter; K J Wiefels; H de la Calle; D H Schweitzer; M Pfohl; E Torlone; L G Krinelke; G B Bolli
Journal:  Diabet Med       Date:  2006-02       Impact factor: 4.359

3.  Insulin pump use in young adolescents with type 1 diabetes: a descriptive study.

Authors:  Kathryn Graff Low; Lori Massa; Dana Lehman; Jerrold S Olshan
Journal:  Pediatr Diabetes       Date:  2005-03       Impact factor: 4.866

4.  Missed bolus doses: devastating for metabolic control in CSII-treated adolescents with type 1 diabetes.

Authors:  Anna Lindholm Olinder; Anna Kernell; Bibbi Smide
Journal:  Pediatr Diabetes       Date:  2008-10-24       Impact factor: 4.866

5.  Insulin pump therapy: guidelines for successful outcomes.

Authors:  Gary Scheiner; Robert J Sobel; Daphne E Smith; Anthony J Pick; Davida Kruger; Jacqueline King; Karen Green
Journal:  Diabetes Educ       Date:  2009 Mar-Apr       Impact factor: 2.140

6.  Hemoglobin A1c compared with three conventional measures of diabetes control.

Authors:  M H Blanc; D M Barnett; R E Gleason; P J Dunn; J S Soeldner
Journal:  Diabetes Care       Date:  1981 May-Jun       Impact factor: 19.112

7.  Missed insulin boluses for snacks in youth with type 1 diabetes.

Authors:  Brandon W Vanderwel; Laurel H Messer; Lauren A Horton; Bryan McNair; Erin C Cobry; Kim K McFann; H Peter Chase
Journal:  Diabetes Care       Date:  2009-12-23       Impact factor: 17.152

  7 in total
  5 in total

Review 1.  Use of technology when assessing adherence to diabetes self-management behaviors.

Authors:  Kimberly A Driscoll; Deborah Young-Hyman
Journal:  Curr Diab Rep       Date:  2014       Impact factor: 4.810

2.  Precision medicine for managing diabetes.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2015-01

3.  Can integrated technology improve self-care behavior in youth with type 1 diabetes? A randomized crossover trial of automated pump function.

Authors:  Orla M Neylon; Michele A O'Connell; Susan M Donath; Fergus J Cameron
Journal:  J Diabetes Sci Technol       Date:  2014-06-17

Review 4.  Biopsychosocial Factors Associated With Satisfaction and Sustained Use of Artificial Pancreas Technology and Its Components: a Call to the Technology Field.

Authors:  Gregory P Forlenza; Laurel H Messer; Cari Berget; R Paul Wadwa; Kimberly A Driscoll
Journal:  Curr Diab Rep       Date:  2018-09-26       Impact factor: 4.810

5.  Pump It Up! A randomized clinical trial to optimize insulin pump self-management behaviors in adolescents with type 1 diabetes.

Authors:  Holly K O'Donnell; Tim Vigers; Suzanne Bennett Johnson; Laura Pyle; Nancy Wright; Larry C Deeb; Kimberly A Driscoll
Journal:  Contemp Clin Trials       Date:  2021-01-11       Impact factor: 2.226

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.