Literature DB >> 23759412

"Turn it off!": diabetes device alarm fatigue considerations for the present and the future.

Joseph P Shivers1, Linda Mackowiak, Henry Anhalt, Howard Zisser.   

Abstract

Safe and widespread use of diabetes technology is constrained by alarm fatigue: when someone receives so many alarms that he or she becomes less likely to respond appropriately. Alarm fatigue and related usability issues deserve consideration at every stage of alarm system design, especially as new technologies expand the potential number and complexity of alarms. The guiding principle should be patient wellbeing, while taking into consideration the regulatory and liability issues that sometimes contribute to building excessive alarms. With examples from diabetes devices, we illustrate two complementary frameworks for alarm design: a "patient safety first" perspective and a focus on human factors. We also describe opportunities and challenges that will come with new technologies such as remote monitoring, adaptive alarms, and ever-closer integration of glucose sensing with insulin delivery.
© 2013 Diabetes Technology Society.

Entities:  

Mesh:

Year:  2013        PMID: 23759412      PMCID: PMC3869147          DOI: 10.1177/193229681300700324

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


  29 in total

1.  Episodes of severe hypoglycemia in type 1 diabetes are preceded and followed within 48 hours by measurable disturbances in blood glucose.

Authors:  B P Kovatchev; D J Cox; L S Farhy; M Straume; L Gonder-Frederick; W L Clarke
Journal:  J Clin Endocrinol Metab       Date:  2000-11       Impact factor: 5.958

2.  Response to nocturnal alarms using a real-time glucose sensor.

Authors:  Bruce Buckingham; Jen Block; Jonathan Burdick; Andrea Kalajian; Craig Kollman; Michael Choy; Darrell M Wilson; Peter Chase
Journal:  Diabetes Technol Ther       Date:  2005-06       Impact factor: 6.118

Review 3.  Clinical alarms: improving efficiency and effectiveness.

Authors:  Joanne Phillips; Jane H Barnsteiner
Journal:  Crit Care Nurs Q       Date:  2005 Oct-Dec

4.  Do we monitor enough? We monitor too much.

Authors:  W K Hamilton
Journal:  J Clin Monit       Date:  1986-10

5.  Human probability matching behaviour in response to alarms of varying reliability.

Authors:  J P Bliss; R D Gilson; J E Deaton
Journal:  Ergonomics       Date:  1995-11       Impact factor: 2.778

Review 6.  Receiver-operating characteristic (ROC) plots: a fundamental evaluation tool in clinical medicine.

Authors:  M H Zweig; G Campbell
Journal:  Clin Chem       Date:  1993-04       Impact factor: 8.327

7.  Continuous glucose monitoring: quality of hypoglycaemia detection.

Authors:  E Zijlstra; T Heise; L Nosek; L Heinemann; S Heckermann
Journal:  Diabetes Obes Metab       Date:  2012-09-20       Impact factor: 6.577

8.  Design of the health monitoring system for the artificial pancreas: low glucose prediction module.

Authors:  Rebecca A Harvey; Eyal Dassau; Howard Zisser; Dale E Seborg; Lois Jovanovič; Francis J Doyle
Journal:  J Diabetes Sci Technol       Date:  2012-11-01

9.  Practice standards for electrocardiographic monitoring in hospital settings: an American Heart Association scientific statement from the Councils on Cardiovascular Nursing, Clinical Cardiology, and Cardiovascular Disease in the Young: endorsed by the International Society of Computerized Electrocardiology and the American Association of Critical-Care Nurses.

Authors:  Barbara J Drew; Robert M Califf; Marjorie Funk; Elizabeth S Kaufman; Mitchell W Krucoff; Michael M Laks; Peter W Macfarlane; Claire Sommargren; Steven Swiryn; George F Van Hare
Journal:  Circulation       Date:  2004-10-26       Impact factor: 29.690

10.  Statistics review 13: receiver operating characteristic curves.

Authors:  Viv Bewick; Liz Cheek; Jonathan Ball
Journal:  Crit Care       Date:  2004-11-04       Impact factor: 9.097

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  37 in total

1.  DTT: 19 Years and Counting ….

Authors:  Satish K Garg
Journal:  Diabetes Technol Ther       Date:  2017-02       Impact factor: 6.118

2.  Flash Glucose Monitoring: The Future Is Here.

Authors:  Satish K Garg; Halis Kaan Akturk
Journal:  Diabetes Technol Ther       Date:  2017-05       Impact factor: 6.118

3.  Help! Someone is beeping...

Authors:  Ruth Roberts; John Walsh; Lutz Heinemann
Journal:  J Diabetes Sci Technol       Date:  2014-05-12

Review 4.  Update on Clinical Utility of Continuous Glucose Monitoring in Type 1 Diabetes.

Authors:  Nalani Haviland; John Walsh; Ruth Roberts; Timothy S Bailey
Journal:  Curr Diab Rep       Date:  2016-11       Impact factor: 4.810

5.  Role of continuous glucose monitoring in the management of glycogen storage disorders.

Authors:  Mrudu Herbert; Surekha Pendyal; Mugdha Rairikar; Carine Halaby; Robert W Benjamin; Priya S Kishnani
Journal:  J Inherit Metab Dis       Date:  2018-05-25       Impact factor: 4.982

Review 6.  Fault detection and safety in closed-loop artificial pancreas systems.

Authors:  B Wayne Bequette
Journal:  J Diabetes Sci Technol       Date:  2014-07-21

7.  Assessing sensor accuracy for non-adjunct use of continuous glucose monitoring.

Authors:  Boris P Kovatchev; Stephen D Patek; Edward Andrew Ortiz; Marc D Breton
Journal:  Diabetes Technol Ther       Date:  2014-12-01       Impact factor: 6.118

8.  Perceived accuracy in continuous glucose monitoring: understanding the impact on patients.

Authors:  William H Polonsky; Danielle Hessler
Journal:  J Diabetes Sci Technol       Date:  2014-11-10

9.  Clinical accuracy of a continuous glucose monitoring system with an advanced algorithm.

Authors:  Timothy S Bailey; Anna Chang; Mark Christiansen
Journal:  J Diabetes Sci Technol       Date:  2014-11-03

Review 10.  Biopsychosocial Factors Associated With Satisfaction and Sustained Use of Artificial Pancreas Technology and Its Components: a Call to the Technology Field.

Authors:  Gregory P Forlenza; Laurel H Messer; Cari Berget; R Paul Wadwa; Kimberly A Driscoll
Journal:  Curr Diab Rep       Date:  2018-09-26       Impact factor: 4.810

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