Literature DB >> 21839404

The impact of non-severe hypoglycemic events on work productivity and diabetes management.

Meryl Brod1, Torsten Christensen, Trine L Thomsen, Donald M Bushnell.   

Abstract

OBJECTIVES: Hypoglycemia is a common complication of treatment with certain diabetes drugs. Non-severe hypoglycemic events (NSHEs) occur more frequently than severe events and account for the majority of total events. The objective of this multi-country study was to identify how NSHEs in a working population affect productivity, costs, and self-management behaviors.
METHODS: A 20-minute survey assessing the impact of NSHEs was administered via the Internet to individuals (≥ 18 years of age) with self-reported diabetes in the United States, United Kingdom, Germany, and France. The analysis sample consisted of all respondents who reported an NSHE in the past month. Topics included: reasons for, duration of, and impact of NSHE(s) on productivity and diabetes self-management.
RESULTS: A total of 1404 respondents were included in this analysis. Lost productivity was estimated to range from $15.26 to $93.47 (USD) per NSHE, representing 8.3 to 15.9 hours of lost work time per month. Among individuals reporting an NSHE at work (n = 972), 18.3% missed work for an average of 9.9 hours (SD 8.4). Among respondents experiencing an NSHE outside working hours (including nocturnal), 22.7% arrived late for work or missed a full day. Productivity loss was highest for NSHEs occurring during sleep, with an average of 14.7 (SD 11.6) working hours lost. In the week following the NSHE, respondents required an average of 5.6 extra blood glucose test strips. Among respondents using insulin, 25% decreased their insulin dose following the NSHE.
CONCLUSIONS: NSHEs are associated with substantial economic consequences for employers and patients. Greater attention to treatments that reduce NSHEs could have a major, positive impact on lost work productivity and overall diabetes management.
Copyright © 2011 International Society for Pharmacoeconomics and Outcomes Research (ISPOR). Published by Elsevier Inc. All rights reserved.

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Year:  2011        PMID: 21839404     DOI: 10.1016/j.jval.2011.02.001

Source DB:  PubMed          Journal:  Value Health        ISSN: 1098-3015            Impact factor:   5.725


  86 in total

1.  The Association of Biochemical Hypoglycemia with the Subsequent Risk of a Severe Hypoglycemic Event: Analysis of the DCCT Data Set.

Authors:  Roy W Beck; Richard M Bergenstal; Tonya D Riddlesworth; Craig Kollman
Journal:  Diabetes Technol Ther       Date:  2018-12-21       Impact factor: 6.118

2.  Assessing the impact of non-severe hypoglycemic events and treatment in adults: development of the Treatment-Related Impact Measure-Non-severe Hypoglycemic Events (TRIM-HYPO).

Authors:  Meryl Brod; Lise Højbjerre; Donald M Bushnell; Charlotte Thim Hansen
Journal:  Qual Life Res       Date:  2015-06-21       Impact factor: 4.147

Review 3.  Mechanisms of hypoglycemia unawareness and implications in diabetic patients.

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Journal:  World J Diabetes       Date:  2015-07-10

4.  Diminishing marginal disutility of hypoglycaemic events: results from a time trade-off survey in five countries.

Authors:  Jørgen T Lauridsen; Jonas Lønborg; Jens Gundgaard; Henrik Holm Jensen
Journal:  Qual Life Res       Date:  2014-05-17       Impact factor: 4.147

5.  A Patient-level Analysis of Efficacy and Hypoglycaemia Outcomes Across Treat-to-target Trials with Insulin Glargine Added to Oral Antidiabetes Agents in People with Type 2 Diabetes.

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Journal:  Eur Endocrinol       Date:  2014-02-28

Review 6.  Technology to Reduce Hypoglycemia.

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7.  Validation of Time in Range as an Outcome Measure for Diabetes Clinical Trials.

Authors:  Roy W Beck; Richard M Bergenstal; Tonya D Riddlesworth; Craig Kollman; Zhaomian Li; Adam S Brown; Kelly L Close
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Review 8.  Hypoglycemia in patients with type 1 diabetes: epidemiology, pathogenesis, and prevention.

Authors:  Omodele Awoniyi; Rabia Rehman; Samuel Dagogo-Jack
Journal:  Curr Diab Rep       Date:  2013-10       Impact factor: 4.810

9.  Estimating the Impact of Diabetes Mellitus on Worker Productivity Using Self-Report, Electronic Health Record and Human Resource Data.

Authors:  David C Tabano; Melissa L Anderson; Debra P Ritzwoller; Arne Beck; Nikki Carroll; Paul A Fishman; David C Grossman
Journal:  J Occup Environ Med       Date:  2018-11       Impact factor: 2.162

10.  Beyond A1C-Standardization of Continuous Glucose Monitoring Reporting: Why It Is Needed and How It Continues to Evolve.

Authors:  Roy W Beck; Richard M Bergenstal
Journal:  Diabetes Spectr       Date:  2021-05-25
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