Literature DB >> 29251061

Use of Decision Support Software to Titrate Multiple Daily Injections Yielded Sustained A1c Reductions After 1 Year.

Bruce Bode1, John G Clarke1, Joseph Johnson1.   

Abstract

PURPOSE: The purpose was to improve the quality of care of at-risk patients through the addition of connected BG meters and CDSS to improve workflow and thus provide more efficient titration of patient's insulin regimens remotely between office visits in an attempt to treat them to their glucose targets faster and efficiently, and maintain that improvement over time.
METHODS: Hardware and software included a real-time cellular-enabled blood glucose (BG) meter and Glytec's Glucommander™ clinical decision support software (CDSS). A quality improvement (QI) project with retrospective before-and-after comparison was conducted. The training period was 90 days and then the project ran for another 11 months. A protocol comprised Glytec CDSS software, which recommends titration intervals from 3 to 28 days as a function of glycemic control, specifically, longer intervals for better control. There were 46 clinic patients.
RESULTS: A1C decreased from a baseline average of 10.2% to 7.8% at 3 months, 7.8% at 6 months, 7.8% at 9 months, and 7.2% at 12 months. The baseline-to-final A1C decrease shows a P < .00001 by paired t-test. Out of 36 315 BGs, the average number of BG tests per day was 3.03 during the first 3 months and 2.47 during the final 3 months. The percentage of BGs < 54 mg/dL was 0.33% and the percentage of BGs < 40 mg/dL was 0.05%.
CONCLUSIONS: This QI project demonstrated the use of CDSS including its built-in feature of titration interval recommendation can safely and effectively lower A1C for at-risk patients, treat patients to target safely, and maintain those improvements over 12 months of follow-up.

Entities:  

Keywords:  Glucommander; adjusting subcutaneous MDI regimens; algorithm; and insulin titration; computerized decision support software; outpatient; telemedicine

Mesh:

Substances:

Year:  2017        PMID: 29251061      PMCID: PMC5761995          DOI: 10.1177/1932296817747886

Source DB:  PubMed          Journal:  J Diabetes Sci Technol        ISSN: 1932-2968


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