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

Lean Six Sigma community hospital hemoglobin A1C inpatient diabetes management

Journal

Journal of diabetes science and technology
ISSN: 1932-2968
Titre abrégé: J Diabetes Sci Technol
Pays: United States
ID NLM: 101306166

Informations de publication

Date de publication:
14 Feb 2023
Historique:
entrez: 15 2 2023
pubmed: 16 2 2023
medline: 16 2 2023
Statut: aheadofprint

Résumé

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. 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 χ 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%, 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.

Sections du résumé

BACKGROUND UNASSIGNED
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 UNASSIGNED
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 χ
RESULTS UNASSIGNED
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%,
CONCLUSIONS UNASSIGNED
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.

Identifiants

pubmed: 36788726
doi: 10.1177/19322968231153883
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

19322968231153883

Auteurs

Sara Atiq Khan (SA)

Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA.

Andrew P Demidowich (AP)

Division of Hospital Medicine, Johns Hopkins Community Physicians at Howard County General Hospital, Columbia, MD, USA.
Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Megan M Tschudy (MM)

Division of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Joyce Wedler (J)

Department of Information Systems, Suburban Hospital, Bethesda, MD, USA.

Wilson Lamy (W)

Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Iniuboho Akpandak (I)

Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA.

Lee Ann Alexander (LA)

Department of Pharmacy, Suburban Hospital, Johns Hopkins Medicine, Bethesda, MD, USA.

Isha Misra (I)

Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA.

Aniket Sidhaye (A)

Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.

Leo Rotello (L)

Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA.

Mihail Zilbermint (M)

Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA.
Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA.

Classifications MeSH