Date of Conferral
Doctor of Nursing Practice (DNP)
Amelia A. Nichols
The prevalence of diabetes mellitus (DM) continues to be a global concern among health care practitioners. Without collaboration and interventions, this chronic disease, which poses a significant financial burden for health care institutions, will continue to be problematic. Promoting the use of glycemic control measures among diabetic patients is an intervention, which has the potential to reduce diabetic complications and improve outcomes. The purpose of this doctoral project was to explore available evidence through a systematic review of the best practices for glucose management. The chronic care model served as the theoretical framework. The evidence based practice question was, What is the current evidence supporting the utilization of a computer-based glucose management system (CBGMS) for inpatient diabetic adults in acute and critical care settings? A systematic review was conducted, yielding 532 studies in which 3 of the studies related to CBGMSs published from 2008 to 2017 were critically appraised. The John Hopkins Nursing Evidence Appraisal Tool with specific inclusion and exclusion criteria was utilized. Participants were adult patients (aged 18 and over) with DM in inpatient care settings who were English speaking. Interventions included the traditional paper-based sliding scale regimen versus the utilization of a CBGMS. Outcome measures included decreased length of stay, reduced cost, and glucose optimization. A conclusion was the implementation of a CBGMS has the potential to improve patient outcomes with additional research that exhibits overall benefits and implement into practice. Thus, implementation of a CBGMS can lead to positive social change by aiding in a change in practice that will ultimately ameliorate patient health outcomes.
Jackson-Cenales, Oteka, "Best Practices for Glucose Management Using a Computer-Based Glucose Management" (2017). Walden Dissertations and Doctoral Studies. 4523.