Validity of using an electronic medical record for assessing quality of care in an outpatient setting

Andrea L Benin1, Grace Vitkauskas, Elizabeth Thornquist

  • 1Robert Wood Johnson Clinical Scholars Program, Yale University School of Medicine, New Haven, Connecticut, USA. andrea.benin@yale.edu

Medical Care
|June 23, 2005
PubMed

Insights

Electronic medical record (EMR) data for pharyngitis management differs from reference data, highlighting the need for validation. Ensure accurate quality of care measures by verifying data extraction strategies.

Area of Science:

  • Health Services Research
  • Pediatric Quality Measurement
  • Health Informatics

Background:

  • Pharyngitis management is a key pediatric quality of care measure.
  • The Health Plan Employer Data and Information Set (HEDIS) now includes pharyngitis management.
  • Validating data sources for quality measures is crucial.

Purpose of the Study:

  • To assess the validity of using outpatient electronic medical record (EMR) data.
  • To evaluate EMR data for assessing pharyngitis management quality.
  • To compare EMR data retrieval strategies against a reference standard.

Main Methods:

  • Identified pediatric (3-18 years) pharyngitis encounters using EMR, administrative data, and medical record review (reference).
  • Calculated adherence to pharyngitis management guidelines for each strategy.
  • Compared diagnostic testing rates for group A streptococcus (GAS).

Main Results:

  • EMR strategy identified 91% of pharyngitis episodes; administrative data identified 59%.
  • Reference review confirmed 82% of episodes as pharyngitis.
  • GAS testing rates differed significantly between EMR (71%) and reference (77%) strategies (P < 0.001).

Conclusions:

  • EMR data retrieval for pharyngitis quality measures may yield different results than reference standards.
  • Statistical differences in GAS diagnostic testing were observed between EMR and reference strategies.
  • Thorough validation of electronic data extraction is essential before assuming data source equivalence for quality assessment.
Abstract

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