Improving Diabetes Care by Data Feedback and Diabetes Templates

Charles M Sow,William A Davis,Gregory Strayhorn,Olabisi Omole,Folashade S Omole,Dominic Mack

doi:10.4236/ojpm.2014.411093

Abstract

Importance: Health information technology has been used to improve diabetes care and outcomes. With the implementation of our diabetes registry, we discovered several flaws in the data. Objective: The aim of this paper is to demonstrate whether improving diabetes templates in electronic medical records associated with data feedback, improves process and quality outcomes for patients with diabetes. Methods: We redesigned our chronic diseases templates and clinical flow, built a diabetes registry and used the data for feedback to educate providers, staff and address inconsistencies. A total of 724 active diabetic patients were identified in October 2009 (pre-implementation) and 731 active diabetic patients were identified in June 2011 (post-implementation). Results: The results showed an improvement in the process outcomes of ordering hemoglobin A1C every 6 months and a microalbumin every 12 months (p-value 0.05). Discussion: Data feedback and lessons learned were instrumental to our practice change.

Highlights

Crossing the Quality Chasm (A New Health System for the 21st Century), found that the nation’s health care industry had fallen short in its ability to provide safe, high-quality care consistently to all Americans, but partic-How to cite this paper: Sow, C.M., Omole, F.S., Strayhorn, G., Mack, D., Davis, W.A. and Omole, O. (2014) Improving Diabetes Care by Data Feedback and Diabetes Templates
Quality outcomes as blood pressure less than 140/90 (p-value 0.17), most recent hemoglobin A1C less than 7% (p-value 0.10), most recent LDL cholesterol less than 100 (p-value 0.64) did not show any improvement (Table 3)
These results showed an improvement in the process outcomes of ordering hemoglobin A1C every 6 months and Female Male Mean age

Summary

Introduction

Crossing the Quality Chasm (A New Health System for the 21st Century), found that the nation’s health care industry had fallen short in its ability to provide safe, high-quality care consistently to all Americans, but partic-How to cite this paper: Sow, C.M., Omole, F.S., Strayhorn, G., Mack, D., Davis, W.A. and Omole, O. (2014) Improving Diabetes Care by Data Feedback and Diabetes Templates. (2014) Improving Diabetes Care by Data Feedback and Diabetes Templates. Dr Ed Wagner and the Improving Chronic Illness Care (ICIC), described that the aim of the Chronic Care. Model was to improve patient health outcomes by changing the routine delivery of ambulatory care for patients with chronic illnesses from acute and reactive to proactive, planned, and population-based [2]. Morehouse Family Medicine Residency Program received a Health Resources and Services Administration (HRSA) residency training grant to develop a Chronic Care Model curriculum with a focus on diabetes [2] [3]. One of the goals was to develop a diabetes registry to improve clinical outcomes. We discovered several flaws in the data with the implementation of the diabetes registry

Objectives

Methods

Results

Conclusion