Validity of bedside blood glucose measurement in critically ill patients with intensive insulin therapy

Transcription Errors of Blood Glucose Values and Insulin Errors in an Intensive Care Unit: Secondary Data Analysis Toward Electronic Medical Record-Glucometer Interoperability

BACKGROUND

Critically ill patients require constant point-of-care blood glucose testing to guide insulin-related decisions. Transcribing these values from glucometers into a paper log and the electronic medical record is very common yet error-prone in intensive care units, given the lack of connectivity between glucometers and the electronic medical record in many US hospitals.

OBJECTIVE

We examined (1) transcription errors of glucometer blood glucose values documented in the paper log and in the electronic medical record vital signs flow sheet in a surgical trauma intensive care unit, (2) insulin errors resulting from transcription errors, (3) lack of documenting these values in the paper log and the electronic medical record vital signs flow sheet, and (4) average time for docking the glucometer.

METHODS

This secondary data analysis examined 5049 point-of-care blood glucose tests. We obtained values of blood glucose tests from bidirectional interface software that transfers the meters' data to the electronic medical record, the paper log, and the vital signs flow sheet. We obtained patient demographic and clinical-related information from the electronic medical record.

RESULTS

Of the 5049 blood glucose tests, which were pertinent to 234 patients, the total numbers of undocumented or untranscribed tests were 608 (12.04%) in the paper log, 2064 (40.88%) in the flow sheet, and 239 (4.73%) in both. The numbers of transcription errors for the documented tests were 98 (2.21% of 4441 documented tests) in the paper log, 242 (8.11% of 2985 tests) in the flow sheet, and 43 (1.64% of 2616 tests) in both. The numbers of transcription errors per patient were 0.4 (98 errors/234 patients) in the paper log, 1 (242 errors/234 patients) in the flow sheet, and 0.2 in both (43 errors/234 patients). Transcription errors in the paper log, the flow sheet, and in both resulted in 8, 24, and 2 insulin errors, respectively. As a consequence, patients were given a lower or higher insulin dose than the dose they should have received had there been no errors. Discrepancies in insulin doses were 2 to 8 U lower doses in paper log transcription errors, 10 U lower to 3 U higher doses in flow sheet transcription errors, and 2 U lower in transcription errors in both. Overall, 30 unique insulin errors affected 25 of 234 patients (10.7%). The average time from point-of-care testing to meter docking was 8 hours (median 5.5 hours), with some taking 56 hours (2.3 days) to be uploaded.

CONCLUSIONS

Given the high dependence on glucometers for point-of-care blood glucose testing in intensive care units, full electronic medical record-glucometer interoperability is required for complete, accurate, and timely documentation of blood glucose values and elimination of transcription errors and the subsequent insulin-related errors in intensive care units.

Impact of a Short-Term Naturopathic Whole-Foods-Based Nutrition Education Intervention on Dietary Behavior and Diabetes Risk Markers: A Pilot Study

OBJECTIVE

To assess the feasibility of measuring the health impacts of a 12-week naturopathic whole foods nutrition education course among adults with or at risk for prediabetes.

DESIGN

A pilot nonrandomized pre-post intervention design investigated physiological changes associated with participation in a 12-week structured naturopathic nutrition education course. Follow-up measures were assessed at 6 and 12 months from baseline.

SETTINGS/LOCATION

Three community-based kitchens in Oregon.

SUBJECTS

Forty-five adults with or at risk for prediabetes.

INTERVENTION

Twelve weekly 90-min workshops emphasizing the health benefits of a naturopathic whole foods diet and including collective meal preparation and communal dining.

OUTCOME MEASURES

Changes in biomarkers of diabetes and cardiovascular disease risk, including high-sensitivity C-reactive protein (hs-CRP), hemoglobin A1c, insulin, and lipids, and changes in dietary behaviors at baseline, postintervention (12 weeks), and 6- and 12-month follow-up. Changes in biomarkers and food consumption patterns were assessed using linear mixed models with random intercept, including data from all participants who completed the end-of-intervention assessment.

RESULTS

Pre-post intervention results for 45 participants showed decreases in blood glucose and hs-CRP. Food frequency questionnaire data showed decreases in daily servings of grain, dairy, and fat postintervention. Decreases in blood glucose, hs-CRP, triglycerides, cholesterol, low-density lipoprotein, very-low-density lipoprotein, and HbA1c from baseline were observed at 12-month follow-up. Both insulin and high-density lipoprotein were decreased from baseline and 12-week levels at the 6-month follow-up but increased from all earlier levels at 12 months (all p < 0.0001). Daily servings of meat, dairy, and fat remained decreased at 6-month follow-up. Reduced grain consumption observed at 12-week and at 6-month follow-up was not sustained, and increased at 12 months, although still decreased from baseline.

CONCLUSIONS

Results suggest that this naturopathic nutrition education series may promote dietary behavior change with associated changes in clinical biomarkers. Larger controlled studies are needed to confirm these results.