Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes. Issue 1 (18th January 2021)
- Record Type:
- Journal Article
- Title:
- Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes. Issue 1 (18th January 2021)
- Main Title:
- Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes
- Authors:
- Pichardo-Lowden, Ariana
Umpierrez, Guillermo
Lehman, Erik B
Bolton, Matthew D
DeFlitch, Christopher J
Chinchilli, Vernon M
Haidet, Paul M - Abstract:
- Abstract : Introduction: Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations. Research design and methods: The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9–4.4 mmol/L (70–80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods. Results: When active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). HypoglycemiaAbstract : Introduction: Innovative approaches are needed to design robust clinical decision support (CDS) to optimize hospital glycemic management. We piloted an electronic medical record (EMR), evidence-based algorithmic CDS tool in an academic center to alert clinicians in real time about gaps in care related to inpatient glucose control and insulin utilization, and to provide management recommendations. Research design and methods: The tool was designed to identify clinical situations in need for action: (1) severe or recurrent hyperglycemia in patients with diabetes: blood glucose (BG) ≥13.88 mmol/L (250 mg/dL) at least once or BG ≥10.0 mmol/L (180 mg/dL) at least twice, respectively; (2) recurrent hyperglycemia in patients with stress hyperglycemia: BG ≥10.0 mmol/L (180 mg/dL) at least twice; (3) impending or established hypoglycemia: BG 3.9–4.4 mmol/L (70–80 mg/dL) or ≤3.9 mmol/L (70 mg/dL); and (4) inappropriate sliding scale insulin (SSI) monotherapy in recurrent hyperglycemia, or anytime in patients with type 1 diabetes. The EMR CDS was active (ON) for 6 months for all adult hospital patients and inactive (OFF) for 6 months. We prospectively identified and compared gaps in care between ON and OFF periods. Results: When active, the hospital CDS tool significantly reduced events of recurrent hyperglycemia in patients with type 1 and type 2 diabetes (3342 vs 3701, OR=0.88, p=0.050) and in patients with stress hyperglycemia (288 vs 506, OR=0.60, p<0.001). Hypoglycemia or impending hypoglycemia (1548 vs 1349, OR=1.15, p=0.050) were unrelated to the CDS tool on subsequent analysis. Inappropriate use of SSI monotherapy in type 1 diabetes (10 vs 22, OR=0.36, p=0.073), inappropriate use of SSI monotherapy in type 2 diabetes (2519 vs 2748, OR=0.97, p=0.632), and in stress hyperglycemia subjects (1617 vs 1488, OR=1.30, p<0.001) were recognized. Conclusion: EMR CDS was successful in reducing hyperglycemic events among hospitalized patients with dysglycemia and diabetes, and inappropriate insulin use in patients with type 1 diabetes. … (more)
- Is Part Of:
- BMJ open diabetes research and care. Volume 9:Issue 1(2021)
- Journal:
- BMJ open diabetes research and care
- Issue:
- Volume 9:Issue 1(2021)
- Issue Display:
- Volume 9, Issue 1 (2021)
- Year:
- 2021
- Volume:
- 9
- Issue:
- 1
- Issue Sort Value:
- 2021-0009-0001-0000
- Page Start:
- Page End:
- Publication Date:
- 2021-01-18
- Subjects:
- diabetes mellitus -- type 2 -- decision support techniques -- electronic health records -- hyperglycemia
Diabetes -- Periodicals
616.462005 - Journal URLs:
- http://www.bmj.com/archive ↗
http://drc.bmj.com/ ↗ - DOI:
- 10.1136/bmjdrc-2020-001557 ↗
- Languages:
- English
- ISSNs:
- 2052-4897
- Deposit Type:
- Legaldeposit
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- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library STI - ELD Digital store - Ingest File:
- 22729.xml