Literature DB >> 25795641

Safe and Efficacious Use of Automated Bolus Advisors in Individuals Treated With Multiple Daily Insulin Injection (MDI) Therapy: Lessons Learned From the Automated Bolus Advisor Control and Usability Study (ABACUS).

Christopher G Parkin1, Katharine Barnard2, Deborah A Hinnen3.   

Abstract

Numerous studies have shown that use of integrated automated bolus advisors (BAs) provides significant benefits to individuals using insulin pump devices, including improved glycemic control and greater treatment satisfaction. Within the past few years, BA devices have been developed specifically for individuals treated with multiple daily insulin injection (MDI) therapy; however, many clinicians who treat these individuals may be unfamiliar with insulin pump therapy and, thus, BA use. Findings from the Automated Bolus Advisor Control and Usability Study (ABACUS) revealed that BA use can be efficacious and clinically meaningful in MDI therapy, and that most patients are willing and able to use this technology appropriately when adequate clinical support is provided. The purpose of this article is to review key learnings from ABACUS and provide practical advice for initiating BA use and monitoring therapy.
© 2015 Diabetes Technology Society.

Entities:  

Keywords:  ABACUS; MDI; bolus advisor; multiple daily insulin injection; type 1 diabetes; type 2 diabetes

Mesh:

Substances:

Year:  2015        PMID: 25795641      PMCID: PMC4667324          DOI: 10.1177/1932296815576532

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


  18 in total

1.  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.

Authors:  Katharine Barnard; Christopher Parkin; Amanda Young; Mansoor Ashraf
Journal:  J Diabetes Sci Technol       Date:  2012-01-01

2.  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

3.  Performance of a glucose meter with a built-in automated bolus calculator versus manual bolus calculation in insulin-using subjects.

Authors:  Allen Sussman; Elizabeth J Taylor; Mona Patel; Jeanne Ward; Shridhara Alva; Andrew Lawrence; Ronald Ng
Journal:  J Diabetes Sci Technol       Date:  2012-03-01

4.  A novel insulin unit calculator for the management of type 1 diabetes.

Authors:  Anna Rita Maurizi; Angelo Lauria; Daria Maggi; Andrea Palermo; Elvira Fioriti; Silvia Manfrini; Paolo Pozzilli
Journal:  Diabetes Technol Ther       Date:  2011-02-28       Impact factor: 6.118

5.  A structured self-monitoring of blood glucose approach in type 2 diabetes encourages more frequent, intensive, and effective physician interventions: results from the STeP study.

Authors:  William H Polonsky; Lawrence Fisher; Charles H Schikman; Deborah A Hinnen; Christopher G Parkin; Zhihong Jelsovsky; Matthias Axel-Schweitzer; Bettina Petersen; Robin S Wagner
Journal:  Diabetes Technol Ther       Date:  2011-05-13       Impact factor: 6.118

Review 6.  Kaleidoscope model of diabetes care: time for a rethink?

Authors:  K D Barnard; C E Lloyd; P A Dyson; M J Davies; S O'Neil; K Naresh; J Lawton; R Ziegler; R I G Holt
Journal:  Diabet Med       Date:  2014-05       Impact factor: 4.359

7.  Carbohydrate counting with an automated bolus calculator helps to improve glycaemic control in children with type 1 diabetes using multiple daily injection therapy: an 18-month observational study.

Authors:  Ivana Rabbone; Andrea E Scaramuzza; Maria Giovanna Ignaccolo; Davide Tinti; Sabrina Sicignano; Francesca Redaelli; Laura De Angelis; Alessandra Bosetti; Gian Vincenzo Zuccotti; Franco Cerutti
Journal:  Diabetes Res Clin Pract       Date:  2014-01-03       Impact factor: 5.602

Review 8.  Results that matter: structured vs. unstructured self-monitoring of blood glucose in type 2 diabetes.

Authors:  Christopher G Parkin; Ann Buskirk; Deborah A Hinnen; Matthias Axel-Schweitzer
Journal:  Diabetes Res Clin Pract       Date:  2012-03-30       Impact factor: 5.602

9.  Use of an automated bolus calculator in MDI-treated type 1 diabetes: the BolusCal Study, a randomized controlled pilot study.

Authors:  Signe Schmidt; Merete Meldgaard; Nermin Serifovski; Camilla Storm; Tomas Møller Christensen; Birthe Gade-Rasmussen; Kirsten Nørgaard
Journal:  Diabetes Care       Date:  2012-02-16       Impact factor: 19.112

10.  Use of an insulin bolus advisor improves glycemic control in multiple daily insulin injection (MDI) therapy patients with suboptimal glycemic control: first results from the ABACUS trial.

Authors:  Ralph Ziegler; David A Cavan; Iain Cranston; Katharine Barnard; Jacqueline Ryder; Claudia Vogel; Christopher G Parkin; Walter Koehler; Iris Vesper; Bettina Petersen; Matthias A Schweitzer; Robin S Wagner
Journal:  Diabetes Care       Date:  2013-07-30       Impact factor: 19.112

View more
  6 in total

1.  Automated Bolus Calculators and Connected Insulin Pens: A Smart Combination for Multiple Daily Injection Insulin Therapy.

Authors:  David T Ahn
Journal:  J Diabetes Sci Technol       Date:  2021-12-22

Review 2.  Multiple Daily Injections OR Insulin Pump Therapy: Choosing the Best Option for Your Patient-An Evidence-based Approach.

Authors:  Mamta Joshi; Pratik Choudhary
Journal:  Curr Diab Rep       Date:  2015-10       Impact factor: 4.810

3.  Unknown Safety and Efficacy of Smartphone Bolus Calculator Apps Puts Patients at Risk for Severe Adverse Outcomes.

Authors:  Irl B Hirsch; Christopher G Parkin
Journal:  J Diabetes Sci Technol       Date:  2016-06-28

4.  Smart Insulin Pens: Advancing Digital Transformation and a Connected Diabetes Care Ecosystem.

Authors:  Tejaswi Kompala; Aaron B Neinstein
Journal:  J Diabetes Sci Technol       Date:  2021-01-12

5.  Bolus Calculator Reduces Hypoglycemia in the Short Term and Fear of Hypoglycemia in the Long Term in Subjects with Type 1 Diabetes (CBMDI Study).

Authors:  María Del Rosario Vallejo Mora; Mónica Carreira; María Teresa Anarte; Francisca Linares; Gabriel Olveira; Stella González Romero
Journal:  Diabetes Technol Ther       Date:  2017-06-08       Impact factor: 6.118

Review 6.  Improving patient self-care using diabetes technologies.

Authors:  Valeria Alcántara-Aragón
Journal:  Ther Adv Endocrinol Metab       Date:  2019-01-28       Impact factor: 3.565

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.