Literature DB >> 23759397

Insulin bolusing software: the potential to optimize health outcomes in type 1 diabetes mellitus.

Kimberly A Driscoll1, Suzanne Bennett Johnson, John Hogan, Elizabeth Gill, Nancy Wright, Larry C Deeb.   

Abstract

BACKGROUND: Insulin bolusing calculators alleviate the burden of having to calculate insulin bolus doses for patients with type 1 diabetes mellitus (T1DM). Three important pieces of information are needed: a blood glucose monitoring (BGM) result, carbohydrates to be consumed, and the amount of insulin bolus delivered. The purpose of this study was to describe insulin pump adherence behaviors associated with the use of bolus calculators in youth who use Medtronic insulin pumps.
METHODS: Data were downloaded from the MiniMed Paradigm insulin pumps (Medtronic) of 31 youth with T1DM. Areas of adherence that were evaluated included fundamental insulin pump adherence behaviors (e.g., BGM, carbohydrate entry, and insulin bolusing), decisions about Wizard® recommendations, and three Wizard steps: BGM result-carbohydrate input-insulin bolus.
RESULTS: On average, patients conducted BGM ≥4 times/day on 69% of days, inputted carbohydrates ≥3 times/day on 63% of days, and insulin bolused ≥3 times/day on 85% of days. Participants generally followed Wizard recommendations. Finally, participants completed all three Wizard steps (BGM, carbohydrate input, insulin bolus) within 30 min for an average of 29% of boluses. Almost 3% of boluses that were preceded by Wizard use were delivered without conducting BGM or inputting carbohydrates.
CONCLUSION: There was substantial variability in insulin pump adherence behaviors (e.g., days when no BGM occurred, reliance on basal insulin). Interventions targeting insulin pump adherence behaviors have the potential to optimize diabetes health outcomes and glycemic control. Improving insulin pump software reports is one promising avenue for improving adherence.
© 2013 Diabetes Technology Society.

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Year:  2013        PMID: 23759397      PMCID: PMC3869132          DOI: 10.1177/193229681300700309

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


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Authors:  F M Alsaleh; F J Smith; S Keady; K M G Taylor
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2.  Clinical performance of three bolus calculators in subjects with type 1 diabetes mellitus: a head-to-head-to-head comparison.

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Journal:  Diabetes Technol Ther       Date:  2010-12       Impact factor: 6.118

3.  Benefits of a bolus calculator in pre- and postprandial glycaemic control and meal flexibility of paediatric patients using continuous subcutaneous insulin infusion (CSII).

Authors:  B Shashaj; E Busetto; N Sulli
Journal:  Diabet Med       Date:  2008-09       Impact factor: 4.359

4.  Benefits and limitations of self-monitoring of blood glucose.

Authors:  David C Klonoff
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5.  Bolus guide: a novel insulin bolus dosing decision support tool based on selection of carbohydrate ranges.

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Review 6.  Bolus calculator: a review of four "smart" insulin pumps.

Authors:  Howard Zisser; Lauren Robinson; Wendy Bevier; Eyal Dassau; Christian Ellingsen; Francis J Doyle; Lois Jovanovic
Journal:  Diabetes Technol Ther       Date:  2008-12       Impact factor: 6.118

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

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Review 8.  Evidence-based assessment of adherence to medical treatments in pediatric psychology.

Authors:  Alexandra L Quittner; Avani C Modi; Kathleen L Lemanek; Carolyn E Ievers-Landis; Michael A Rapoff
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9.  Does blood glucose monitoring increase prior to clinic visits in children with type 1 diabetes?

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Journal:  Diabetes Care       Date:  2011-08-18       Impact factor: 19.112

10.  Insulin regimens and clinical outcomes in a type 1 diabetes cohort: the SEARCH for Diabetes in Youth study.

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  19 in total

1.  Adherence to Insulin Pump Behaviors in Young Children With Type 1 Diabetes Mellitus.

Authors:  Susana R Patton; Kimberly A Driscoll; Mark A Clements
Journal:  J Diabetes Sci Technol       Date:  2016-07-10

Review 2.  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

3.  Insulin Pump Adherence Behaviors Do Not Correlate With Glycemic Variability Among Youth With Type 1 Diabetes (T1D).

Authors:  Emily Paprocki; Vincent Staggs; Susan Patton; Mark Clements
Journal:  J Diabetes Sci Technol       Date:  2018-10-13

Review 4.  Motivational interviewing to promote adherence behaviors in pediatric type 1 diabetes.

Authors:  Priscilla W Powell; Marisa E Hilliard; Barbara J Anderson
Journal:  Curr Diab Rep       Date:  2014-10       Impact factor: 4.810

5.  Self-Management Behaviors in Adults on Insulin Pump Therapy.

Authors:  Danielle Groat; Maria Adela Grando; Hiral Soni; Bithika Thompson; Mary Boyle; Marilyn Bailey; Curtiss B Cook
Journal:  J Diabetes Sci Technol       Date:  2016-09-25

Review 6.  Adherence to glycemic monitoring in diabetes.

Authors:  Susana R Patton
Journal:  J Diabetes Sci Technol       Date:  2015-01-14

7.  White Coat Adherence Occurs in Adolescents With Type 1 Diabetes Receiving Intervention to Improve Insulin Pump Adherence Behaviors.

Authors:  Kimberly A Driscoll; Yuxia Wang; Suzanne Bennett Johnson; Elizabeth Gill; Nancy Wright; Larry C Deeb
Journal:  J Diabetes Sci Technol       Date:  2016-10-09

8.  White Coat Adherence in Pediatric Patients With Type 1 Diabetes Who Use Insulin Pumps.

Authors:  Kimberly A Driscoll; Yuxia Wang; Suzanne Bennett Johnson; Rebecca Lynch; Haley Stephens; Katelyn Willbur; Elizabeth Gill; Nancy Wright; Larry C Deeb
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

9.  The Interactive Effect of Diabetes Family Conflict and Depression on Insulin Bolusing Behaviors for Youth.

Authors:  Genevieve Maliszewski; Susana R Patton; L Kurt Midyett; Mark A Clements
Journal:  J Diabetes Sci Technol       Date:  2016-08-18

10.  Self-Management Behaviors of Patients with Type 1 Diabetes: Comparing Two Sources of Patient-Generated Data.

Authors:  George Karway; Maria Adela Grando; Kevin Grimm; Danielle Groat; Curtiss Cook; Bithika Thompson
Journal:  Appl Clin Inform       Date:  2020-01-22       Impact factor: 2.342

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