Construction and preliminary evaluation of the inpatient glycemic control questionnaire (IGCQ): a survey tool assessing perceptions and knowledge of resident physicians

Clinical decision support to improve management of diabetes and dysglycemia in the hospital: a path to optimizing practice and outcomes

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.

A MULTICENTER STUDY EVALUATING PERCEPTIONS AND KNOWLEDGE OF INPATIENT GLYCEMIC CONTROL AMONG RESIDENT PHYSICIANS: ANALYZING THEMES TO INFORM AND IMPROVE CARE

Objective: In this descriptive study, we evaluated perceptions and knowledge of inpatient glycemic control among resident physicians. Methods: We performed this study at four academic medical centers: the University of Mississippi Medical Center, University of Virginia Health System, University of Louisville Health Sciences Center, and Emory University. We designed a questionnaire, and Institutional Review Board approval was granted at each institution prior to study initiation. We then administered the questionnaire to Internal Medicine and Medicine-Pediatric resident physicians. Results: A total of 246 of 438 (56.2%) eligible resident physicians completed the Inpatient Glycemic Control Questionnaire (IGCQ). Most respondents (85.4%) reported feeling comfortable treating and managing inpatient hyperglycemia, and a majority (66.3%) agreed they had received adequate education. Despite self-reported comfort with knowledge, only 51.2% of respondents could identify appropriate glycemic targets in critically ill patients. Only 45.5% correctly identified appropriate inpatient random glycemic target values in noncritically ill patients, and only 34.1% of respondents knew appropriate preprandial glycemic targets in noncritically ill patients. A small majority (54.1%) were able to identify the correct fingerstick glucose value that defines hypoglycemia. System issues were the most commonly cited barrier to successful inpatient glycemic control. Conclusion: Most respondents reported feeling comfortable managing inpatient hyperglycemia but had difficulty identifying appropriate inpatient glycemic target values. Future interventions could utilize the IGCQ as a pre- and postassessment tool and focus on early resident education along with improving system environments to aid in successful inpatient glycemic control. Abbreviations: DM = diabetes mellitus; Emory = Emory University Healthcare; IGC = inpatient glycemic control; IGCQ = Inpatient Glycemic Control Questionnaire; IRB = Institutional Review Board; PGY = postgraduate year; UMMC = University of Mississippi Medical Center; UVA = University of Virginia Health System; UL = University of Louisville Health Sciences Center.