# Quantifying Compliance to the New 2017 Hypertension Treatment Guidelines and Investigating the Association Between Guideline Compliance and Patients' Trajectory of Blood Pressure

> **NIH NIH K01** · NORTHWESTERN UNIVERSITY · 2020 · $120,966

## Abstract

Project Summary/Abstract
Blood pressure (BP) of ³140/90 mm Hg doubles the risk of cardiovascular diseases (CVD) and the total cost of
hypertension reaches as high as $51 billion per year. Despite the enormous risk and cost associated with
hypertension, less than half (48.3%) of hypertensive patients have a controlled blood pressure (BP) in the
United States. Clinical trials demonstrated that a high rate of BP control (up to 85%) can be achieved with
currently available therapies and strictly following recommended treatment protocols. This suggests that a
higher proportion of uncontrolled BP could be explained by less aggressive treatment, poorer follow-up, and
use of fewer or less effective drugs. The 2017 guideline for high BP management was recently published and
lowered the threshold for the initiation of medication and definition of uncontrolled BP to BP ≥130/80 mm Hg
(from 140/90) for patients with CVD or higher risk of CVD. This challenges physicians to change their
traditional hypertension management and could worsen the already low rate of compliance (range 25-65%) to
hypertension treatment guidelines. Furthermore, conclusions from previous studies regarding compliance to
older hypertension treatment guidelines were compromised due to failure to evaluate multiple aspects of
hypertension care, such as comorbidities, follow-up and laboratory assessments; and use of subjective
assessment such as physician self-report. The wide-spread adoption of electronic health record (EHR)
technology and the vital patient information present in EHR data provide an exceptional opportunity to
objectively evaluate several aspects of hypertension care, such as medications prescribed, laboratory
procedures ordered, BP level achieved, follow-up monitoring examinations, demographic and comorbid
information. We, therefore, propose to use the Northwestern Medicine Enterprise Data Warehouse (NMEDW)
– an integrated EHR database of health information from 2.9 million patients to 1) assess compliance to the
2017 hypertension management guidelines for 5 years since its release (2018-2022); 2) investigate whether
patient’s age, race, body mass index, history of diabetes, CVD, chronic kidney disease, medication adherence,
presence of health insurance and regular physician, and physican speciality predict level of compliance to the
new treatment guideline; and 3) examine the association between level of compliance to the 2017
hypertension treatment guidelines and prospective patient BP trajectory over 5 years (2019-2023). Newly
diagnosed hypertensive patients’ demographics, BP, medications, lab results, follow-up visit, and comorbid
conditions will be assessed from the NMEDW and will be compared to criteria developed based on the 2017
hypertension treatment guidelines to quantify compliance to the guideline. The proposed study provides the
candidate an opportunity to learn EHR data-mining skills to assess association between compliance to the new
hypertension treatment gu...

## Key facts

- **NIH application ID:** 9870519
- **Project number:** 1K01HL145345-01A1
- **Recipient organization:** NORTHWESTERN UNIVERSITY
- **Principal Investigator:** YACOB G TEDLA
- **Activity code:** K01 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2020
- **Award amount:** $120,966
- **Award type:** 1
- **Project period:** 2020-03-01 → 2020-10-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/9870519

## Citation

> US National Institutes of Health, RePORTER application 9870519, Quantifying Compliance to the New 2017 Hypertension Treatment Guidelines and Investigating the Association Between Guideline Compliance and Patients' Trajectory of Blood Pressure (1K01HL145345-01A1). Retrieved via AI Analytics 2026-05-21 from https://api.ai-analytics.org/grant/nih/9870519. Licensed CC0.

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