ArticleIntensive care medicine2010
Effects of blood glucose transcription mismatches on a computer-based intensive insulin therapy protocol.
Article in Intensive care medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
10 citing papers in PubMed.
- Data entry errors and design for model-based tight glycemic control in critical care.Journal of diabetes science and technology · 2012Trial
- Lost in Transcription: Frequency of Inaccurate Manually Documented Point-of-Care Blood Glucose and Ketone Measures in Hospital.Endocrinology, diabetes & metabolism · 2026Article
- Comparing automated vs. manual data collection for COVID-specific medications from electronic health records.International journal of medical informatics · 2022Article
- Managing hyperglycemia during the COVID-19 pandemic: Improving outcomes using new technologies in intensive care.SAGE open medicine · 2020Review
- Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability.JMIR medical informatics · 2019Article
- Space GlucoseControl system for blood glucose control in intensive care patients--a European multicentre observational study.BMC anesthesiology · 2016Observational
- Barriers and facilitators to the use of computer-based intensive insulin therapy.International journal of medical informatics · 2011Article
- Characteristics and effects of nurse dosing over-rides on computer-based intensive insulin therapy protocol performance.Journal of the American Medical Informatics Association : JAMIA · 2011Article
- Year in review in Intensive Care Medicine 2010: I. Acute renal failure, outcome, risk assessment and ICU performance, sepsis, neuro intensive care and experimentals.Intensive care medicine · 2011Article
- Intensive insulin therapy to control hyperglycemia in the critically ill: a look back at the evidence shapes the challenges ahead.Critical care (London, England) · 2010Review
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
purposeComputerized clinical decision support systems (CDSS) for intensive insulin therapy (IIT) generate recommendations using blood glucose (BG) values manually transcribed from testing devices to computers, a potential source of error. We quantified the frequency and effect of blood glucose transcription mismatches on IIT protocol performance.
methodsWe examined 38 months of retrospective data for patients treated with CDSS IIT in two intensive care units at one teaching hospital. A manually transcribed BG value not equal to a corresponding device value was deemed mismatched. For mismatches we recalculated CDSS recommendations using device BG values. We compared matched and mismatched data in terms of CDSS alerts, blood glucose variability, and dosing.
resultsOf 189,499 CDSS IIT instances, 5.3% contained mismatched BG values. Mismatched data triggered 93 false alerts and failed to issue 170 alerts for nurses to notify physicians. Four of six BG variability measures differed between matched and mismatched data. Overall insulin dose was greater for matched than mismatched [matched 3.8 (1.6-6.0), median (interquartile range, IQR), versus 3.6 (1.6-5.7); p < 0.001], but recalculated and actual dose were similar. In mismatches preceding hypoglycemia, recalculated insulin dose was significantly lower than actual dose [recalculated 2.7 (0.4-5.0), median (IQR), versus 3.5 (1.4-5.6)]. In mismatches preceding hyperglycemia, recalculated insulin dose was significantly greater than actual dose [recalculated 4.7 (3.3-6.2), median (IQR), versus 3.3 (2.4-4.3); p < 0.001]. Administration of recalculated doses might have prevented blood glucose excursions.
conclusionsMismatched blood glucose values can influence CDSS IIT protocol performance.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.