[Level of agreement in the interpretation of electrocardiograms]

A Moreno Castillo1, P Iglesias Gómez, E Arbesu Fernández

  • 1Centro de Salud de Burgo de Osma, Soria.

Atencion Primaria
|September 15, 1995
PubMed

Insights

General practitioners show acceptable electrocardiogram (ECG) diagnostic concordance with cardiologists, particularly for normal findings and rhythm disturbances. However, improvements are needed in diagnosing less common ECG abnormalities.

Area of Science:

  • Cardiology
  • General Medicine
  • Diagnostic Accuracy

Background:

  • Accurate interpretation of electrocardiograms (ECG) is crucial for timely diagnosis and management of cardiac conditions.
  • Understanding the diagnostic concordance between general practitioners (GPs) and specialists is essential for optimizing patient care pathways.

Purpose of the Study:

  • To evaluate the diagnostic agreement in ECG interpretation between GPs and a referral cardiologist.
  • To identify specific diagnostic categories where concordance is high or low.

Main Methods:

  • A crossover and descriptive study design was employed.
  • Seven General Medicine consulting rooms participated.
  • 318 ECGs were randomly distributed among GPs for interpretation over 11 months.

Main Results:

  • Overall proportion of agreement (Po) exceeded 90% for most categories, except normality (76.5%).
  • The overall Kappa (K) index for diagnostic concordance was 0.52, indicating moderate agreement.
  • Concordance varied significantly by diagnostic category, with high K values for frequency disturbances (0.79) and lower values for auricular disturbances (0.07).

Conclusions:

  • Overall diagnostic concordance for ECG interpretation between GPs and cardiologists is acceptable, especially for normality, rhythm, and frequency disturbances.
  • Concordance was notably lower for ventricular conduction, repolarization, auricular-ventricular union, unspecific, and auricular disturbances.
  • GPs tended to underdiagnose frequency and AV union disorders while overdiagnosing unspecific disorders, highlighting areas for targeted training and improvement.
Abstract

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