Back

Hypertension Trends and Disparities over Twelve Years in a Large Health System: Leveraging the Electronic Health Records

Brush, J. E.; Lu, Y.; Liu, Y.; Asher, J. R.; Li, S.-X.; Sawano, M.; Young, P.; Schulz, W.; Anderson, M.; Burrows, J. S.; Krumholz, H. M.

2023-08-25 epidemiology
10.1101/2023.08.24.23294518 medRxiv
Show abstract

BackgroundThe digital transformation of medical data enables health systems to leverage real-world data (RWD) from electronic health records (EHR) to gain actionable insights for improving hypertension care. MethodsWe performed a serial cross-sectional analysis of outpatients of a large regional health system from 2010 to 2021. Hypertension was defined by systolic blood pressure (SBP) [≥] 140 mmHg or diastolic blood pressure (DBP) [≥] 90 mmHg) or recorded treatment with anti-hypertension medications. We evaluated four methods of using blood pressure measurements in the EHR to define hypertension. The primary outcomes were age-adjusted prevalence rates and age-adjusted control rates. Secondary outcomes were age-adjusted mean SBP and DBP and age-adjusted proportion of patients with a searchable diagnosis code of hypertension in the EHR. ResultsHypertension prevalence varied depending on the definition used, ranging from 36.5% to 50.9% initially and increasing over time by approximately 5%, regardless of the definition used. Control rates ranged from 61.2% to 71.3% initially, rose during 2018-2019 and fell during 2020-2021. The proportion of patients with a hypertension diagnosis ranged from 45.5% to 60.2% initially and improved during the study period. Non-Hispanic Black patients represented 25% of our regional population and consistently had higher prevalence rates, higher mean SBP and DBP and lower control rates compared with other racial and ethnic groups. ConclusionIn a large regional health system, we leveraged the EHR to provide real-world insights. The findings largely reflected national trends but showed distinctive regional demographics and findings. The findings have provided opportunities for improvement, with prevalence increasing, a quarter of the patients not controlled, and marked disparities. This approach could be emulated by regional health systems seeking to improve hypertension care. Key PointsQuestion: Can a large regional health system leverage the electronic health record to analyze hypertension trends and disparities to drive improvement? Findings: We analyzed 1,376,325 patients over 12 years and found that age-adjusted hypertension prevalence increased by approximately 5%. Age-adjusted hypertension control rates were in the 70% range and remained stable. Non-Hispanic Black patients represented 25% of our specific regional population and had 12-14% higher hypertension prevalence rates, higher mean age-adjusted systolic and diastolic blood pressure, and lower hypertension control rates compared with other racial groups. Meaning: Real world data can provide actionable insights about hypertension and disparities in a specific region that could inform regional system strategies and initiatives for improvement.

Matching journals

The top 1 journal accounts for 50% of the predicted probability mass.

50% of probability mass above

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.