Literature DB >> 26798082

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

Irl B Hirsch1, Christopher G Parkin2.   

Abstract

Manual calculation of bolus insulin dosages can be challenging for individuals treated with multiple daily insulin injections (MDI) therapy. Automated bolus calculator capability has recently been made available via enhanced blood glucose meters and smartphone apps. Use of this technology has been shown to improve glycemic control and reduce glycemic variability without changing hypoglycemia; however, the clinical utility of app-based bolus calculators has not been demonstrated. Moreover, recent evidence challenges the safety and efficacy of these smartphone apps. Although the ability to automatically calculate bolus insulin dosages addresses a critical need of MDI-treated individuals, this technology raises concerns about efficacy of treatment and the protection of patient safety. This article discusses key issues and considerations associated with automated bolus calculator use.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  MDI; bolus advisor; bolus calculator; diabetes; insulin; multiple daily insulin injections; smartphone

Mesh:

Substances:

Year:  2016        PMID: 26798082      PMCID: PMC4928215          DOI: 10.1177/1932296815626457

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


  22 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.  Does the fat-protein meal increase postprandial glucose level in type 1 diabetes patients on insulin pump: the conclusion of a randomized study.

Authors:  Ewa Pańkowska; Marlena Błazik; Lidia Groele
Journal:  Diabetes Technol Ther       Date:  2011-10-20       Impact factor: 6.118

3.  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

4.  Use of an insulin bolus advisor facilitates earlier and more frequent changes in insulin therapy parameters in suboptimally controlled patients with diabetes treated with multiple daily insulin injection therapy: results of the ABACUS trial.

Authors:  David A Cavan; Ralph Ziegler; 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 Technol Ther       Date:  2014-04-09       Impact factor: 6.118

5.  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).

Authors:  Christopher G Parkin; Katharine Barnard; Deborah A Hinnen
Journal:  J Diabetes Sci Technol       Date:  2015-03-20

Review 6.  Overcoming obstacles: new management options.

Authors:  L Heinemann
Journal:  Eur J Endocrinol       Date:  2004-10       Impact factor: 6.664

7.  Literacy, numeracy, and portion-size estimation skills.

Authors:  Mary Margaret Huizinga; Adam J Carlisle; Kerri L Cavanaugh; Dianne L Davis; Rebecca P Gregory; David G Schlundt; Russell L Rothman
Journal:  Am J Prev Med       Date:  2009-04       Impact factor: 5.043

8.  Association of numeracy and diabetes control.

Authors:  Kerri Cavanaugh; Mary Margaret Huizinga; Kenneth A Wallston; Tebeb Gebretsadik; Ayumi Shintani; Dianne Davis; Rebecca Pratt Gregory; Lynn Fuchs; Robb Malone; Andrea Cherrington; Michael Pignone; Darren A DeWalt; Tom A Elasy; Russell L Rothman
Journal:  Ann Intern Med       Date:  2008-05-20       Impact factor: 25.391

9.  Glycemic variability and its responses to intensive insulin treatment in newly diagnosed type 2 diabetes.

Authors:  Jian Zhou; Weiping Jia; Yuqian Bao; Xiaojing Ma; Wei Lu; Huating Li; Cheng Hu; Kunsan Xiang
Journal:  Med Sci Monit       Date:  2008-11

10.  A bolus calculator is an effective means of controlling postprandial glycemia in patients on insulin pump therapy.

Authors:  Todd M Gross; David Kayne; Allen King; Carla Rother; Suzanne Juth
Journal:  Diabetes Technol Ther       Date:  2003       Impact factor: 6.118

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  11 in total

1.  A Randomized Controlled Study of an Insulin Dosing Application That Uses Recognition and Meal Bolus Estimations.

Authors:  Ewa Pańkowska; Piotr Ładyżyński; Piotr Foltyński; Karolina Mazurczak
Journal:  J Diabetes Sci Technol       Date:  2016-12-20

2.  Advances in Care for Insulin-Requiring Patients Without Closed Loop.

Authors:  Rayhan A Lal; Bruce Buckingham; David M Maahs
Journal:  Diabetes Technol Ther       Date:  2018-06       Impact factor: 6.118

3.  Role of Automation/Technology in Day-to-Day Diabetes Care.

Authors:  Vikash Dadlani; Yogish C Kudva
Journal:  Diabetes Technol Ther       Date:  2016-03-30       Impact factor: 6.118

4.  Use of Smartphone Applications in Children with Type 1 Diabetes Mellitus.

Authors:  Rajni Sharma
Journal:  Indian J Pediatr       Date:  2019-11-11       Impact factor: 1.967

5.  Smartphone App as Motivational Intervention to Improve Glycemic Control in Adolescents with Type 1 Diabetes.

Authors:  Binay Kumar Pramanik; J Jebashini Angelin; Vineeth John Mathai; Sarah Mathai; Sophy Korula; Anna Simon
Journal:  Indian J Pediatr       Date:  2019-07-29       Impact factor: 1.967

6.  Remote Monitoring of Diabetes: A Cloud-Connected Digital System for Individuals With Diabetes and Their Health Care Providers.

Authors:  Michael Joubert; Pierre-Yves Benhamou; Pauline Schaepelynck; Hélène Hanaire; Bogdan Catargi; Anne Farret; Pierre Fontaine; Bruno Guerci; Yves Reznik; Nathalie Jeandidier; Alfred Penfornis; Sophie Borot; Lucy Chaillous; Sylvia Franc; Pierre Serusclat; Yacine Kherbachi; Eric Bavière; Bruno Detournay; Pierre Simon; Guillaume Charpentier
Journal:  J Diabetes Sci Technol       Date:  2019-03-12

7.  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 8.  App-Based Insulin Calculators: Current and Future State.

Authors:  Leslie Eiland; Meghan McLarney; Thiyagarajan Thangavelu; Andjela Drincic
Journal:  Curr Diab Rep       Date:  2018-10-04       Impact factor: 4.810

9.  Mobile App-Based Interventions to Support Diabetes Self-Management: A Systematic Review of Randomized Controlled Trials to Identify Functions Associated with Glycemic Efficacy.

Authors:  Yuan Wu; Xun Yao; Giacomo Vespasiani; Antonio Nicolucci; Yajie Dong; Joey Kwong; Ling Li; Xin Sun; Haoming Tian; Sheyu Li
Journal:  JMIR Mhealth Uhealth       Date:  2017-03-14       Impact factor: 4.773

10.  Accuracy of Automatic Carbohydrate, Protein, Fat and Calorie Counting Based on Voice Descriptions of Meals in People with Type 1 Diabetes.

Authors:  Piotr Ladyzynski; Janusz Krzymien; Piotr Foltynski; Monika Rachuta; Barbara Bonalska
Journal:  Nutrients       Date:  2018-04-21       Impact factor: 5.717

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