Literature DB >> 27022096

Influences on Technology Use and Efficacy in Type 1 Diabetes.

Victoria Franklin1.   

Abstract

The majority of people with type 1 diabetes have suboptimal glycemic control, increasing their complication risk. Technology to support diabetes self-care has advanced significantly and includes self-monitoring of blood glucose (SMBG), insulin pump therapy (IPT), continuous glucose monitoring (CGM), and sensor-augmented pump therapy (SAPT), which are stepping stones toward the "artificial pancreas" using closed-loop technology. Use of these technologies improves clinical outcomes for patients with the appropriate skills and motivation. This review addresses the psychosocial factors that influence both technology provision and clinical outcome and also how technology impacts on psychological outcomes. Optimal use of the various diabetes self-management technologies is influenced by previous self-care behaviors, demographic and psychological factors. Provision of IPT is also influenced by the same factors. Despite technology increasing the complexity of treatment, the lack of evidence for adverse psychological outcomes is reassuring. Treatment satisfaction is high, and discontinuation rates are low. However, technology will widen the health inequality gap if its use is limited to motivated patients who demonstrate good self-care behaviors. Pivotal to the success of the various technologies is provision of appropriate education at initiation of the technology, regular ongoing contact for treatment adjustments and trouble-shooting device issues plus access to psychological support when required. Additional support strategies may be required to help patients struggling with their diabetes to benefit from the available technology, recognizing that they may have most to gain.
© 2016 Diabetes Technology Society.

Entities:  

Keywords:  closed-loop technology; insulin pumps; psychology; technology; type 1 diabetes

Mesh:

Year:  2016        PMID: 27022096      PMCID: PMC5038548          DOI: 10.1177/1932296816639315

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


  110 in total

Review 1.  Actionable self-monitoring of blood glucose: redefining the role for patients using multiple daily injection therapy.

Authors:  David Kerr; Rebecca Messing; Ansgar Resch
Journal:  J Diabetes Sci Technol       Date:  2011-11-01

2.  Use of continuous glucose monitoring in children and adolescents (*).

Authors:  Moshe Phillip; Thomas Danne; Shlomit Shalitin; Bruce Buckingham; Lori Laffel; William Tamborlane; Tadej Battelino
Journal:  Pediatr Diabetes       Date:  2012-01-29       Impact factor: 4.866

Review 3.  Behavior change interventions delivered by mobile telephone short-message service.

Authors:  Brianna S Fjeldsoe; Alison L Marshall; Yvette D Miller
Journal:  Am J Prev Med       Date:  2009-02       Impact factor: 5.043

4.  Insulin pump safety meeting: summary report.

Authors:  David C Klonoff; Juliet S Reyes
Journal:  J Diabetes Sci Technol       Date:  2009-03-01

5.  A clinical trial of the accuracy and treatment experience of the Dexcom G4 sensor (Dexcom G4 system) and Enlite sensor (guardian REAL-time system) tested simultaneously in ambulatory patients with type 1 diabetes.

Authors:  Viktorija Matuleviciene; Jeffrey I Joseph; Mervi Andelin; Irl B Hirsch; Stig Attvall; Aldina Pivodic; Sofia Dahlqvist; David Klonoff; Börje Haraldsson; Marcus Lind
Journal:  Diabetes Technol Ther       Date:  2014-09-18       Impact factor: 6.118

6.  Effect of mobile phone intervention for diabetes on glycaemic control: a meta-analysis.

Authors:  X Liang; Q Wang; X Yang; J Cao; J Chen; X Mo; J Huang; L Wang; D Gu
Journal:  Diabet Med       Date:  2011-04       Impact factor: 4.359

7.  Improvements in cognition, mood and behaviour following commencement of continuous subcutaneous insulin infusion therapy in children with type 1 diabetes mellitus: a pilot study.

Authors:  S Knight; E Northam; S Donath; A Gardner; N Harkin; C Taplin; P Joy; F J Cameron; G R Ambler
Journal:  Diabetologia       Date:  2008-11-06       Impact factor: 10.122

8.  Evaluation of an algorithm to guide patients with type 1 diabetes treated with continuous subcutaneous insulin infusion on how to respond to real-time continuous glucose levels: a randomized controlled trial.

Authors:  Alicia J Jenkins; Balasubramanium Krishnamurthy; James D Best; Fergus J Cameron; Peter G Colman; Steven Farish; Peter S Hamblin; Michele A O'Connell; Christine Rodda; Kevin Rowley; Helena Teede; David N O'Neal
Journal:  Diabetes Care       Date:  2010-03-09       Impact factor: 17.152

9.  Perceptions and experiences of using automated bolus advisors amongst people with type 1 diabetes: a longitudinal qualitative investigation.

Authors:  J Lawton; J Kirkham; D Rankin; K Barnard; C L Cooper; C Taylor; S Heller; J Elliott
Journal:  Diabetes Res Clin Pract       Date:  2014-10-02       Impact factor: 5.602

10.  Evidence of a strong association between frequency of self-monitoring of blood glucose and hemoglobin A1c levels in T1D exchange clinic registry participants.

Authors:  Kellee M Miller; Roy W Beck; Richard M Bergenstal; Robin S Goland; Michael J Haller; Janet B McGill; Henry Rodriguez; Jill H Simmons; Irl B Hirsch
Journal:  Diabetes Care       Date:  2013-02-01       Impact factor: 19.112

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  11 in total

1.  Health Care Provider Knowledge and Perceptions of FDA-Approved and Do-It-Yourself Automated Insulin Delivery.

Authors:  James A Murray; Margaret F Clayton; Michelle L Litchman
Journal:  J Diabetes Sci Technol       Date:  2019-12-26

2.  Now Is the Time for a Cybersecurity Standard for Connected Diabetes Devices.

Authors:  David C Klonoff; David N Kleidermacher
Journal:  J Diabetes Sci Technol       Date:  2016-05-03

Review 3.  Artificial Pancreas: Current Progress and Future Outlook in the Treatment of Type 1 Diabetes.

Authors:  Rozana Ramli; Monika Reddy; Nick Oliver
Journal:  Drugs       Date:  2019-07       Impact factor: 9.546

Review 4.  A critical review and analysis of ethical issues associated with the artificial pancreas.

Authors:  A Quintal; V Messier; R Rabasa-Lhoret; E Racine
Journal:  Diabetes Metab       Date:  2018-04-25       Impact factor: 6.041

5.  How organizations shape medical technology allocation: Insulin pumps and pediatric patients with type 1 diabetes.

Authors:  Cassidy Puckett; Jenise C Wong; Tanicia C Daley; Kristina Cossen
Journal:  Soc Sci Med       Date:  2020-02-01       Impact factor: 4.634

6.  Initial experiences of adolescents and young adults with type 1 diabetes and high-risk glycemic control after starting flash glucose monitoring - a qualitative study.

Authors:  Sara Boucher; Miranda Blackwell; Barbara Galland; Martin de Bock; Hamish Crocket; Esko Wiltshire; Paul Tomlinson; Jenny Rayns; Benjamin Wheeler
Journal:  J Diabetes Metab Disord       Date:  2019-12-07

7.  Perceptions and Understanding of Diabetes Mellitus Technology in Adults with Type 1 or Type 2 DM: A Pilot Survey from Pakistan.

Authors:  Sarah Nadeem; Uswah Siddiqi; Russell Seth Martins; Kaleemullah Badini
Journal:  J Diabetes Sci Technol       Date:  2021-05-06

Review 8.  Human Factors and Data Logging Processes With the Use of Advanced Technology for Adults With Type 1 Diabetes: Systematic Integrative Review.

Authors:  Marion Waite; Clare Martin; Rachel Franklin; David Duce; Rachel Harrison
Journal:  JMIR Hum Factors       Date:  2018-03-15

9.  A Digital Health Intervention (SweetGoals) for Young Adults With Type 1 Diabetes: Protocol for a Factorial Randomized Trial.

Authors:  Catherine Stanger; Tobias Kowatsch; Haiyi Xie; Inbal Nahum-Shani; Frances Lim-Liberty; Molly Anderson; Prabhakaran Santhanam; Sarah Kaden; Briana Rosenberg
Journal:  JMIR Res Protoc       Date:  2021-02-23

10.  Diabetes and technology: A pilot study on the management of patients with insulin pumps during the COVID-19 pandemic.

Authors:  Fabio Petrelli; Giovanni Cangelosi; Stefania Scuri; Paola Pantanetti; Francesca Lavorgna; Federica Faldetta; Cristina De Carolis; Renato Rocchi; Giulia Debernardi; Alexandra Florescu; Giulio Nittari; Getu Gamo Sagaro; Giulia Garda; Cuc Thi Thu Nguyen; Iolanda Grappasonni
Journal:  Diabetes Res Clin Pract       Date:  2020-09-28       Impact factor: 5.602

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