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Khan SA, Demidowich AP, Tschudy MM, Wedler J, Lamy W, Akpandak I, Alexander LA, Misra I, Sidhaye A, Rotello L, Zilbermint M. Increasing Frequency of Hemoglobin A1c Measurements in Hospitalized Patients With Diabetes: A Quality Improvement Project Using Lean Six Sigma. J Diabetes Sci Technol 2024; 18:866-873. [PMID: 36788726 DOI: 10.1177/19322968231153883] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/16/2023]
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.
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Affiliation(s)
- Sara Atiq Khan
- Division of Endocrinology, Diabetes and Nutrition, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Andrew P Demidowich
- 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
- Division of Pediatrics, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Joyce Wedler
- Department of Information Systems, Suburban Hospital, Bethesda, MD, USA
| | - Wilson Lamy
- Armstrong Institute for Patient Safety and Quality, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Iniuboho Akpandak
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Lee Ann Alexander
- Department of Pharmacy, Suburban Hospital, Johns Hopkins Medicine, Bethesda, MD, USA
| | - Isha Misra
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Aniket Sidhaye
- Division of Endocrinology, Diabetes, and Metabolism, Johns Hopkins University School of Medicine, Baltimore, MD, USA
| | - Leo Rotello
- Division of Hospital Medicine, Johns Hopkins Community Physicians at Suburban Hospital, Bethesda, MD, USA
| | - Mihail Zilbermint
- 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
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Khan SA, Zilbermint M. Centers for Medicare & Medicaid Services' Hospital Harm Measures for Severe Hypoglycemia and Hyperglycemia: Is Your Hospital Ready? Diabetes Spectr 2022; 35:391-397. [PMID: 36561656 PMCID: PMC9668722 DOI: 10.2337/dsi22-0008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Poor inpatient glycemic management is associated with increased lengths of stay and in-hospital morbidity and mortality. Improving inpatient glycemic outcomes can be difficult because there are no standardized benchmarks, and many hospitals lack the capacity to electronically extract and analyze glucose data. The Centers for Medicare & Medicaid Services recently proposed new electronic clinical quality measures to be incorporated into its mandatory Hospital Inpatient Quality Reporting Program. Among these measures is an assessment of hospital harm from severe hypoglycemia and severe hyperglycemia. Hospitals must be ready to collect the necessary data for these new measures by January 2023. The new measures could bring welcome attention to the need to implement guideline-based inpatient glycemic management. However, some hospitals that serve high-risk populations may be at risk for losing funding if they are unable to comply.
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Affiliation(s)
- Sara Atiq Khan
- Division of Endocrinology, Diabetes, and Metabolism, University of Maryland School of Medicine, Baltimore, MD
| | - Mihail Zilbermint
- Division of Endocrinology, Diabetes, and Metabolism, University of Maryland School of Medicine, Baltimore, MD
- Division of Hospital Medicine, Johns Hopkins Community Physicians, Baltimore, MD
- Division of Endocrinology, Diabetes and Metabolism, Suburban Hospital, Bethesda, MD
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Zilbermint M. Inpatient Diabetes Management: Preface: Inpatient Diabetes Management: Should We Make It Simpler? Diabetes Spectr 2022; 35:387-389. [PMID: 36561650 PMCID: PMC9668715 DOI: 10.2337/dsi22-0014] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
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Demidowich AP, Batty K, Zilbermint M. Instituting a Successful Discharge Plan for Patients With Type 2 Diabetes: Challenges and Solutions. Diabetes Spectr 2022; 35:440-451. [PMID: 36561646 PMCID: PMC9668725 DOI: 10.2337/dsi22-0013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Achieving target inpatient glycemic management outcomes has been shown to influence important clinical outcomes such as hospital length of stay and readmission rates. However, arguably the most profound, lasting impact of inpatient diabetes management is achieved at the time of discharge-namely reconciling and prescribing the right medications and making referrals for follow-up. Discharge planning offers a unique opportunity to break through therapeutic inertia, offer diabetes self-management education, and institute an individualized treatment plan that prepares the patient for discharge and promotes self-care and engagement. However, the path to a successful discharge plan can be fraught with potential pitfalls for clinicians, including lack of knowledge and experience with newer diabetes medications, costs, concerns over insurance coverage, and lack of time and resources. This article presents an algorithm to assist clinicians in selecting discharge regimens that maximize benefits and reduce barriers to self-care for patients and a framework for creating an interdisciplinary hospital diabetes discharge program.
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Affiliation(s)
- Andrew P. Demidowich
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Johns Hopkins Community Physicians at Howard County General Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Columbia, MD
| | - Kristine Batty
- Johns Hopkins Community Physicians at Howard County General Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Columbia, MD
| | - Mihail Zilbermint
- Division of Endocrinology, Diabetes and Metabolism, Department of Medicine, Johns Hopkins School of Medicine, Baltimore, MD
- Johns Hopkins Community Physicians at Suburban Hospital, Division of Hospital Medicine, Johns Hopkins Medicine, Bethesda, MD
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Huang J, Yeung AM, Nguyen KT, Xu NY, Preiser JC, Rushakoff RJ, Seley JJ, Umpierrez GE, Wallia A, Drincic AT, Gianchandani R, Lansang MC, Masharani U, Mathioudakis N, Pasquel FJ, Schmidt S, Shah VN, Spanakis EK, Stuhr A, Treiber GM, Klonoff DC. Hospital Diabetes Meeting 2022. J Diabetes Sci Technol 2022; 16:1309-1337. [PMID: 35904143 PMCID: PMC9445340 DOI: 10.1177/19322968221110878] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
The annual Virtual Hospital Diabetes Meeting was hosted by Diabetes Technology Society on April 1 and April 2, 2022. This meeting brought together experts in diabetes technology to discuss various new developments in the field of managing diabetes in hospitalized patients. Meeting topics included (1) digital health and the hospital, (2) blood glucose targets, (3) software for inpatient diabetes, (4) surgery, (5) transitions, (6) coronavirus disease and diabetes in the hospital, (7) drugs for diabetes, (8) continuous glucose monitoring, (9) quality improvement, (10) diabetes care and educatinon, and (11) uniting people, process, and technology to achieve optimal glycemic management. This meeting covered new technology that will enable better care of people with diabetes if they are hospitalized.
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Affiliation(s)
| | | | | | - Nicole Y. Xu
- Diabetes Technology Society, Burlingame, CA, USA
| | | | | | | | | | - Amisha Wallia
- Northwestern University Feinberg School of Medicine, Chicago, IL, USA
| | | | | | | | - Umesh Masharani
- University of California San Francisco, San Francisco, CA, USA
| | | | | | | | - Viral N. Shah
- Barbara Davis Center for Diabetes, University of Colorado, Aurora, CO, USA
| | | | | | | | - David C. Klonoff
- Diabetes Research Institute, Mills-Peninsula Medical Center, San Mateo, CA, USA
- David C. Klonoff, MD, FACP, FRCP (Edin), Fellow AIMBE, Diabetes Research Institute, Mills-Peninsula Medical Center, 100 South San Mateo Drive, Room 5147, San Mateo, CA 94401, USA.
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