Agile implementation for hypertension control in primary care

Hypertension is a leading cause of morbidity and mortality, affecting 48% of US adults, with nearly three quarters of them remaining uncontrolled. Despite evidence-based guidelines for the management of hypertension, gaps persist in their clinical application. The aim of this study was to improve blood pressure control rates among nonpregnant adult patients in primary care. We applied the Agile Implementation process to address barriers to guideline implementation. Using an iterative quality improvement approach, we implemented the AI process in a clinic serving minority and underserved populations from January 2023 to December 2023. The AI process increased hypertension control rates from 43 to 58%, using a target blood pressure below 140/90 mmHg. The AI process effectively improved hypertension control rates in an underserved primary care setting, offering a scalable approach for enhancing outcomes in similar populations.

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Publication Details

Journal
BMC Health Services Research
Published
2025-07-01
DOI
https://doi.org/10.1186/s12913-025-12941-0
Primary Topic
Blood Pressure and Hypertension Studies
Type
article
Field-Weighted Citation Impact
0.00
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article

Agile implementation for hypertension control in primary care

Timothy D. Wilson, Malaz Boustani, Diana Summanwar, Celia Menke et al.
3 links
BMC Health Services Research
Blood Pressure and Hypertension Studies
article

Agile implementation for hypertension control in primary care

Timothy D. Wilson, Malaz Boustani, Diana Summanwar, Celia Menke, Paul T Mingo, Andrew Van Velsor
article en

Abstract

Hypertension is a leading cause of morbidity and mortality, affecting 48% of US adults, with nearly three quarters of them remaining uncontrolled. Despite evidence-based guidelines for the management of hypertension, gaps persist in their clinical application. The aim of this study was to improve blood pressure control rates among nonpregnant adult patients in primary care. We applied the Agile Implementation process to address barriers to guideline implementation. Using an iterative quality improvement approach, we implemented the AI process in a clinic serving minority and underserved populations from January 2023 to December 2023. The AI process increased hypertension control rates from 43 to 58%, using a target blood pressure below 140/90 mmHg. The AI process effectively improved hypertension control rates in an underserved primary care setting, offering a scalable approach for enhancing outcomes in similar populations.

BMC Health Services ResearchVol. 25(1)
Sidney & Lois Eskenazi Hospital (US), Eskenazi Health Foundation (US), Indiana University School of Medicine, Indiana University – Purdue University Indianapolis (US)
Openalex Percentile: Top 73%
Blood Pressure and Hypertension Studies
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