Literature DB >> 22401332

Use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in patients with type 1 diabetes mellitus treated with multiple daily insulin injections.

Katharine Barnard1, Christopher Parkin, Amanda Young, Mansoor Ashraf.   

Abstract

BACKGROUND: Many patients do not intensify their insulin regimens. It is believed that lack of adherence may be largely due to fear of hypoglycemia. We hypothesized that utilization of an automated bolus calculator (bolus advisor) might reduce fear of hypoglycemia and encourage patients to achieve improved glycemic control.
METHOD: We surveyed 1,412 type 1 diabetes mellitus (T1DM) patients treated with multiple daily insulin injection therapy at 270 hospitals in the United Kingdom and Republic of Ireland to assess their attitudes and behaviors regarding insulin therapy after use of a bolus advisor (Accu-Chek® Aviva Expert blood glucose meter and bolus advisor system, Roche Diagnostics). The device automatically calculates bolus dosages based on current blood glucose values, anticipated meal intake, and other parameters.
RESULTS: Five hundred eighty-eight T1DM patients responded to the survey. Respondents were predominantly female, age <1 to 70 years, with diabetes duration of <1 to >15 years. Respondents had 4-12 weeks prior experience using the bolus advisor. 76.7% of respondents indicated current bolus advisor use to calculate insulin boluses for meals/snacks always or quite often. 52.0% of respondents indicated that fear of hypoglycemia was reduced (39.0%) or significantly reduced (13.0%). 78.8% indicated that confidence in the insulin dose calculation improved (50.8%) or significantly improved (28.0%). 89.3% indicated that the bolus advisor made bolus calculation easy or very easy compared with manual calculation.
CONCLUSIONS: Most patients felt that using the bolus advisor was easier than manual bolus calculation, improved their confidence in the accuracy of their bolus dosage, and reduced their fear of hypoglycemia. Randomized trials are needed to confirm these perceptions and determine whether bolus advisor use improves clinical outcomes.
© 2012 Diabetes Technology Society.

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Year:  2012        PMID: 22401332      PMCID: PMC3320831          DOI: 10.1177/193229681200600117

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


  21 in total

1.  Clinical performance of three bolus calculators in subjects with type 1 diabetes mellitus: a head-to-head-to-head comparison.

Authors:  Howard Zisser; Robin Wagner; Stefan Pleus; Cornelia Haug; Nina Jendrike; Chris Parkin; Matthias Schweitzer; Guido Freckmann
Journal:  Diabetes Technol Ther       Date:  2010-12       Impact factor: 6.118

Review 2.  Fear of hypoglycaemia in adults with Type 1 diabetes.

Authors:  T Anderbro; S Amsberg; U Adamson; J Bolinder; P-E Lins; R Wredling; E Moberg; J Lisspers; U-B Johansson
Journal:  Diabet Med       Date:  2010-10       Impact factor: 4.359

Review 3.  Psychological counselling in problematic diabetes: does it help?

Authors:  F J Snoek; T C Skinner
Journal:  Diabet Med       Date:  2002-04       Impact factor: 4.359

Review 4.  Hypoglycemia: still the limiting factor in the glycemic management of diabetes.

Authors:  Philip E Cryer
Journal:  Endocr Pract       Date:  2008-09       Impact factor: 3.443

5.  10-year follow-up of intensive glucose control in type 2 diabetes.

Authors:  Rury R Holman; Sanjoy K Paul; M Angelyn Bethel; David R Matthews; H Andrew W Neil
Journal:  N Engl J Med       Date:  2008-09-10       Impact factor: 91.245

Review 6.  The underuse of insulin therapy in North America.

Authors:  Matthew C Riddle
Journal:  Diabetes Metab Res Rev       Date:  2002 Sep-Oct       Impact factor: 4.876

7.  Type 1 diabetes among adolescents: reduced diabetes self-care caused by social fear and fear of hypoglycemia.

Authors:  Ashley M Di Battista; Trevor A Hart; Laurie Greco; Jan Gloizer
Journal:  Diabetes Educ       Date:  2009-03-25       Impact factor: 2.140

8.  Self-monitoring of blood glucose among adults with diabetes--United States, 1997-2006.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  2007-11-02       Impact factor: 17.586

9.  Effect of a multifactorial intervention on mortality in type 2 diabetes.

Authors:  Peter Gaede; Henrik Lund-Andersen; Hans-Henrik Parving; Oluf Pedersen
Journal:  N Engl J Med       Date:  2008-02-07       Impact factor: 91.245

10.  Hypoglycemia unawareness is associated with reduced adherence to therapeutic decisions in patients with type 1 diabetes: evidence from a clinical audit.

Authors:  Charlotte B Smith; Pratik Choudhary; Andrew Pernet; David Hopkins; Stephanie A Amiel
Journal:  Diabetes Care       Date:  2009-04-23       Impact factor: 17.152

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  29 in total

1.  Analysis of use of an automated bolus calculator reduces fear of hypoglycemia and improves confidence in dosage accuracy in type 1 diabetes mellitus patients treated with multiple daily insulin injections.

Authors:  Frank L Schwartz; Aili Guo; Cynthia R Marling; Jay H Shubrook
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

2.  6(th) Annual Symposium on Self-Monitoring of Blood Glucose (SMBG) applications and beyond, April 25-27, 2013, Riga, Latvia.

Authors:  Aus Alzaid; Christof Schlaeger; Rolf Hinzmann
Journal:  Diabetes Technol Ther       Date:  2013-09-28       Impact factor: 6.118

Review 3.  Boluses in Insulin Therapy.

Authors:  Ralph Ziegler; Guido Freckmann; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2016-07-10

Review 4.  The current status of bolus calculator decision-support software.

Authors:  David C Klonoff
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

5.  Use of automated bolus advisors may improve adherence to multiple daily insulin injection therapy.

Authors:  Katharine Barnard; Christopher G Parkin; Ann Buskirk; Patsy Allen; Robin S Wagner
Journal:  J Diabetes Sci Technol       Date:  2012-09-01

Review 6.  Evidence-based Mobile Medical Applications in Diabetes.

Authors:  Andjela Drincic; Priya Prahalad; Deborah Greenwood; David C Klonoff
Journal:  Endocrinol Metab Clin North Am       Date:  2016-10-08       Impact factor: 4.741

7.  Decision Support in Diabetes Care: The Challenge of Supporting Patients in Their Daily Living Using a Mobile Glucose Predictor.

Authors:  Carmen Pérez-Gandía; Gema García-Sáez; David Subías; Agustín Rodríguez-Herrero; Enrique J Gómez; Mercedes Rigla; M Elena Hernando
Journal:  J Diabetes Sci Technol       Date:  2018-03

8.  Effect of Continuous Glucose Monitoring Accuracy on Clinicians' Retrospective Decision Making in Diabetes: A Pilot Study.

Authors:  Zeinab Mahmoudi; Mette Dencker Johansen; Hanne Holdflod Nørgaard; Steen Andersen; Ulrik Pedersen-Bjergaard; Lise Tarnow; Jens Sandahl Christiansen; Ole Hejlesen
Journal:  J Diabetes Sci Technol       Date:  2015-06-08

9.  Poor sleep quality is associated with nocturnal glycaemic variability and fear of hypoglycaemia in adults with type 1 diabetes.

Authors:  Pamela Martyn-Nemeth; Shane A Phillips; Dan Mihailescu; Sarah S Farabi; Chang Park; Rebecca Lipton; Esema Idemudia; Laurie Quinn
Journal:  J Adv Nurs       Date:  2018-07-19       Impact factor: 3.187

10.  An Adaptive Nonlinear Basal-Bolus Calculator for Patients With Type 1 Diabetes.

Authors:  Dimitri Boiroux; Tinna Björk Aradóttir; Kirsten Nørgaard; Niels Kjølstad Poulsen; Henrik Madsen; John Bagterp Jørgensen
Journal:  J Diabetes Sci Technol       Date:  2016-09-25
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