Long-Term Impact of an Electronic Health Record-Enabled, Team-Based, and Scalable Population Health Strategy Based on the Chronic Care Model

AMIA Annu Symp Proc. 2017 Feb 10:2016:686-695. eCollection 2016.

Abstract

The Chronic Care Model (CCM) is a promising framework for improving population health, but little is known regarding the long-term impact of scalable, informatics-enabled interventions based on this model. To address this challenge, this study evaluated the long-term impact of implementing a scalable, electronic health record (EHR)- enabled, and CCM-based population health program to replace a labor-intensive legacy program in 18 primary care practices. Interventions included point-of-care decision support, quality reporting, team-based care, patient engagement, and provider education. Among 6,768 patients with diabetes receiving care over 4 years, hemoglobin A1c levels remained stable during the 2-year pre-intervention and post-intervention periods (0.03% and 0% increases, respectively), compared to a 0.42% increase expected based on A1c progression observed in the United Kingdom Prospective Diabetes Study long-term outcomes cohort. The results indicate that an EHR-enabled, team- based, and scalable population health strategy based on the CCM may be effective and efficient for managing population health.

MeSH terms

  • Diabetes Mellitus / blood
  • Diabetes Mellitus / therapy*
  • Electronic Health Records*
  • Glycated Hemoglobin / analysis
  • Humans
  • Long-Term Care
  • Patient Care Team
  • Point-of-Care Systems
  • Primary Health Care
  • Prospective Studies
  • United Kingdom

Substances

  • Glycated Hemoglobin A