SCIENCE@home

Use of a real-time, algorithm-driven, publicly displayed, automated signal to improve insulin prescribing practices.

T. Franco,Barry Aaronson,B. Williams,C. Blackmore

Published 2019 in Diabetes Research and Clinical Practice

ABSTRACT

AIM The clinical andon board (CAB) is a novel electronic surveillance and communication system, which alerts providers to and prompts treatment of dysglycemia. This investigation was designed to determine the CAB's effectiveness in supporting adherence to standardized evidence-based protocols, as well as improving glycemic control. METHODS This study was a retrospective pre/post analysis of insulin orders and blood glucose values. We used a Student's t-test for continuous variables and Chi2 for all other variables. This study included patients 18 years or older admitted to the hospital medical service as an inpatient with a length of stay greater than 24 hours and less than 90 days. We used Pearson's correlation coefficient to evaluate the relationship between CAB and blood glucose. RESULTS The rate of compliance in prescribing basal insulin for patient with diabetes increased from 56% to 77% (p<0.001). Similarly, compliance rates for prescribing correctional insulin in patients without diabetes increased from 15% to 37% (p<0.001). Performance on the CAB was linearly related to blood glucose (p=0.004), and there was a small statistically (not clinically) significant improvement in mean blood glucose values. CONCLUSION This approach is effective in alerting and engaging providers to prescribe insulin in a standardized manner with potential to improve glycemic control.

PUBLICATION RECORD

CITATION MAP

EXTRACTION MAP

CLAIMS

  • No claims are published for this paper.

CONCEPTS

  • No concepts are published for this paper.

REFERENCES

Showing 1-16 of 16 references · Page 1 of 1

CITED BY

Showing 1-6 of 6 citing papers · Page 1 of 1