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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.
Background:
Hypertension is highly prevalent and contributes to cardiovascular morbidity and mortality. Appropriate identification of hypertension is fundamental for its management. The rates of appropriate hypertension diagnosis in outpatient settings using an electronic health record (EHR) have not been well studied. We sought to identify prevalent and incident hypertension cases in a large outpatient healthcare system, examine the diagnosis rates of prevalent and incident hypertension, and identify clinical and demographic factors associated with appropriate hypertension diagnosis.
Methods:
We analyzed a 3-year, cross-sectional sample of 251,590 patients aged ≥18 years using patient EHRs. Underlying hypertension was defined as two or more abnormal blood pressure (ABP) readings ≥140/90 mm Hg and/or pharmaceutical treatment. Appropriate hypertension diagnosis was defined by the reporting of ICD-9 codes (401.0-401.9). Factors associated with hypertension diagnosis were assessed through multivariate analyses of patient clinical and demographic characteristics.
Results:
The prevalence of hypertension was 28.7%, and the diagnosis rate was 62.9%. The incidence of hypertension was 13.3%, with a diagnosis rate of 19.9%. Predictors of diagnosis for prevalent hypertension included older age, Asian, African American, higher body mass index (BMI), and increased number of ABP readings. Predictors for incident hypertension diagnosis were similar. In patients with two or more ABP readings, hypertension diagnosis was associated with significantly higher medication treatment rates (92.6% vs. 15.8%, P < 0.0001).
Conclusions:
Outpatient EHR diagnosis rates are suboptimal, yet EHR diagnosis of hypertension is strongly associated with treatment. Targeted efforts to improve diagnosis should be a priority.
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