Underdiagnosis of hypertension using electronic health records

Dipanjan Banerjee1, Sukyung Chung, Eric C Wong

  • 1Stanford University, School of Medicine, Stanford, California, USA. dipanjan@stanford.edu

Insights

Hypertension diagnosis rates in outpatient electronic health records (EHRs) are suboptimal. However, EHR diagnosis strongly correlates with treatment initiation, highlighting the need for improved diagnostic strategies in hypertension management.

Area of Science:

  • Cardiology
  • Public Health
  • Health Informatics

Background:

  • Hypertension is a prevalent condition contributing significantly to cardiovascular disease.
  • Accurate hypertension diagnosis is crucial for effective patient management.
  • Current rates of appropriate hypertension diagnosis in outpatient electronic health records (EHRs) are not well-documented.

Purpose of the Study:

  • To identify prevalent and incident hypertension cases within a large healthcare system.
  • To evaluate the diagnosis rates of hypertension using EHR data.
  • To determine clinical and demographic factors associated with appropriate hypertension diagnosis.

Main Methods:

  • Analysis of a 3-year, cross-sectional EHR dataset of 251,590 adult patients.
  • Hypertension defined by abnormal blood pressure readings or medication.
  • Appropriate diagnosis linked to ICD-9 codes; multivariate analyses used to identify predictors.

Main Results:

  • Hypertension prevalence was 28.7% with a 62.9% diagnosis rate; incidence was 13.3% with a 19.9% diagnosis rate.
  • Older age, Asian/African American ethnicity, higher BMI, and more abnormal blood pressure readings predicted diagnosis.
  • EHR diagnosis was linked to significantly higher medication treatment rates (92.6% vs. 15.8%).

Conclusions:

  • Outpatient EHR diagnosis rates for hypertension remain suboptimal.
  • EHR-based hypertension diagnosis is a strong indicator for initiating treatment.
  • Prioritizing efforts to enhance hypertension diagnosis within EHR systems is essential.
Abstract

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