Intervention to improve dyslipidemia screening in hospitalized diabetics

AMIA Annu Symp Proc. 2005:2005:1093.

Abstract

Using an automated method to prospectively identify diabetic patients, we measured the impact of an administrative policy to perform LDL-cholesterol (LDL-c) testing on all diabetics not having the test performed within a specified time period. Automatic testing resulted in significant increases in LDL-c testing rate, and identified a greater proportion of patients who were candidates for statins. Further interventions are needed to increase prescriptions for lipid-lowering therapy.

Publication types

  • Research Support, N.I.H., Extramural

MeSH terms

  • Blood Chemical Analysis / statistics & numerical data
  • Cholesterol, LDL / blood*
  • Diabetes Complications / diagnosis*
  • Dyslipidemias / diagnosis*
  • Hospitalization
  • Humans

Substances

  • Cholesterol, LDL