The impact of non-severe hypoglycemic events on work productivity and diabetes management
Open accessAbstract
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.
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Relationships between time in target range and number of severe and non-severe hypoglycemic events have been observed.
“Relationships between time in target range and A1C (25; 26) and number of severe and non-severe hypoglycemic events (27-31) have also been observed.”
From Clinical Targets for Continuous Glucose Monitoring Data Interpretation: Recommendations From the International Consensus on Time in Range (2019) · cites this paper as [28]
The Introduction distinguishes severe from non-severe hypoglycemic events, and the results report frequencies of non-severe events. Neither those passages nor the passages retrieved for “time in target range” and “time in range” address a relationship between time in target range and the number of either type of event. Page numbers were not available in our copy. (LLM, conf=0.76)
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- Authors
- Brod, M., Christensen, T., Thomsen, T. L., & Bushnell, D. M.
- Affiliations
- Brod Group (US)
- Novo Nordisk (Denmark) (DK)
- Corresponding author
- Brod, Meryl
- Venue
- Value in Health
- Publisher
- Elsevier BV
- Published
- 2011-07
- Volume
- 14
- Issue
- 5
- Pages
- 665-671
- ISSN
- 1098-3015 (ISSN-L)
- OpenAlex
- W2117304511
- Cited by
- 284
- References
- 24
- Citations by year
- 2026: 6 · 2025: 4 · 2024: 6 · 2023: 9 · 2022: 14 · 2021: 14 · 2020: 14 · 2019: 18 · 2018: 32 · 2017: 14 · 2016: 24 · 2015: 33 · 2014: 35 · 2013: 38 · 2012: 18
- FWCI
- 24.89
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Value in Health (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Novo Nordisk
- Topics
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Research
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Management and Education
- Health Sciences › Medicine › Endocrinology, Diabetes and Metabolism › Diabetes Treatment and Management
- Keywords
- labor productivity, diabetes self-management, missed work, nocturnal hypoglycemia, blood glucose monitoring, insulin dose reduction, economic burden
- MeSH terms
- Absenteeism, Adult, Analysis of Variance, Blood Glucose, Diabetes Mellitus, Type 1, Diabetes Mellitus, Type 2, Efficiency, Employment, Europe, Female, Health Services Research, Humans, Hypoglycemia, Hypoglycemic Agents, Male, Middle Aged, Surveys and Questionnaires, Reagent Strips, Salaries and Fringe Benefits, Self Care, Severity of Illness Index, Time Factors, United States, Chi-Square Distribution, Cost of Illness, Models, Economic, Health Care Surveys, Internet, Gross Domestic Product
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