Abstract

BackgroundDiabetes mellitus (DM) is one of the most common chronic diseases. Individuals with DM are more likely to be hospitalised and stay longer than those without DM. Inpatient hypoglycemia and hyperglycemia, which are associated with adverse outcomes, are common, but can be prevented through hospital quality improvement programs.MethodsWe designed a multi-faceted intervention program with the aim of reducing inpatient hypoglycemia and hyperglycemia. This was implemented over seven phases between September 2013 to January 2016, and covered all the non-critical care wards in a tertiary hospital. The program represented a pragmatic approach that leveraged on existing resources and infrastructure within the hospital. We calculated glucometric outcomes in June to August 2016 and compared them with those in June to August 2013 to assess the overall effectiveness of the program. We used regression models with generalised estimating equations to adjust for potential confounders and account for correlations of repeated outcomes within patients and admissions.ResultsWe observed significant reductions in patient-days affected by hypoglycemia (any glucose reading < 4 mmol/L: OR = 0.71, 95% CI: 0.61 to 0.83, p < 0.001), and hyperglycemia (any glucose reading > 14 mmol/L: OR = 0.84, 95% CI: 0.71 to 0.99, p = 0.041). Similar findings were observed for admission-level hypoglycemia and hyperglycemia. Further analyses suggested that these reductions started to occur four to 6 months post-implementation.ConclusionsOur program was associated with sustained improvements in clinically relevant outcomes. Our described intervention could be feasibly implemented by other secondary and tertiary care hospitals by leveraging on existing infrastructure and work force.

Highlights

  • Diabetes mellitus (DM) is one of the most common chronic diseases

  • Our program was associated with sustained improvements in clinically relevant outcomes

  • We used the Poisson and logistic regression models with generalised estimating equations (GEE) to model counts (i.e., length of stay (LOS) in days) and binary outcomes

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Summary

Introduction

Diabetes mellitus (DM) is one of the most common chronic diseases. Individuals with DM are more likely to be hospitalised and stay longer than those without DM. Inpatient hypoglycemia and hyperglycemia, which are associated with adverse outcomes, are common, but can be prevented through hospital quality improvement programs. Glycemic control in hospitalised patients with DM is often suboptimal with occurrence of both hypoglycemia and hyperglycemia [5, 6]. These are associated with adverse hospitalisation outcomes such as increased mortality and duration of hospitalisation [7,8,9,10]. Iatrogenic factors like under-treatment, over-treatment, and medication errors contribute significantly to inpatient hypoglycemia and hyperglycemia. Prevention of hypoglycemia and hyperglycemia has been adopted as quality measures for inpatient care [2, 11, 12]

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