Increasing Frequency of Hemoglobin A1C Measurements in Hospitalized Patients With Diabetes: A Quality Improvement Project Using Lean Six Sigma

Sara Atiq Khan, Andrew P. Demidowich, Megan M. Tschudy, Joyce Wedler, Wilson Lamy, Iniuboho Akpandak, Lee Ann Alexander, Isha Misra, Aniket Sidhaye, Leo Rotello, Mihail Zilbermint

Research output: Contribution to journalArticlepeer-review

Abstract

Background: The American Diabetes Association (ADA) recommends measuring A1C in all inpatients with diabetes if not performed in the prior three months. Our objective was to determine the impact of utilizing Lean Six Sigma to increase the frequency of A1C measurements in hospitalized patients. Methods: We evaluated inpatients with diabetes mellitus consecutively admitted in a community hospital between January 2016 and June 2021, excluding those who had an A1C in the electronic health record (EHR) in the previous three months. Lean Six Sigma was utilized to define the extent of the problem and devise solutions. The intervention bundle delivered between November 2017 and February 2018 included (1) provider education on the utility of A1C, (2) more rapid turnaround of A1C results, and (3) an EHR glucose-management tab and insulin order set that included A1C. Hospital encounter and patient-level data were extracted from the EHR via bulk query. Frequency of A1C measurement was compared before (January 2016-November 2017) and after the intervention (March 2018-June 2021) using χ2 analysis. Results: Demographics did not differ preintervention versus postintervention (mean age [range]: 70.9 [18-104] years, sex: 52.2% male, race: 57.0% white). A1C measurements significantly increased following implementation of the intervention bundle (61.2% vs 74.5%, P <.001). This level was sustained for more than two years following the initial intervention. Patients seen by the diabetes consult service (40.4% vs 51.7%, P < 0.001) and length of stay (mean: 135 hours vs 149 hours, P < 0.001) both increased postintervention. Conclusions: We demonstrate a novel approach in improving A1C in hospitalized patients. Lean Six Sigma may represent a valuable methodology for community hospitals to improve inpatient diabetes care.

Original languageEnglish (US)
JournalJournal of Diabetes Science and Technology
DOIs
StateAccepted/In press - 2023

Keywords

  • Lean Six Sigma
  • community hospital
  • hemoglobin A1C
  • inpatient diabetes management

ASJC Scopus subject areas

  • Bioengineering
  • Internal Medicine
  • Biomedical Engineering
  • Endocrinology, Diabetes and Metabolism

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