Tracking Blood Pressure Control Performance and Process Metrics in 25 US Health Systems: The PCORnet Blood Pressure Control Laboratory

Author:

Cooper‐DeHoff Rhonda M.1ORCID,Fontil Valy2,Carton Thomas3,Chamberlain Alanna M.4ORCID,Todd Jonathan5,O’Brien Emily C.6,Shaw Kathryn M.1,Smith Myra1,Choi Sujung6,Nilles Ester K.6,Ford Daniel7,Tecson Kristen M.8ORCID,Dennar Princess E.9,Ahmad Faraz10ORCID,Wu Shenghui11,McClay James C.12ORCID,Azar Kristen13ORCID,Singh Rajbir14,Faulkner Modrow Madelaine2,Shay Christina M.15,Rakotz Michael16ORCID,Wozniak Gregory16,Pletcher Mark J.2ORCID

Affiliation:

1. University of Florida Gainesville FL

2. University of California San Francisco San Francisco CA

3. Louisiana Public Health InstituteTulane University New Orleans LA

4. Mayo Clinic Rochester MN

5. OCHIN Portland OR

6. Duke University Durham NC

7. Johns Hopkins Baltimore MD

8. Baylor Scott & White Research Institute Dallas TX

9. Tulane University New Orleans LA

10. Northwestern University Chicago IL

11. UT Health San Antonio TX

12. University of Nebraska Omaha NE

13. Sutter Health San Francisco CA

14. Meharry Medical College Nashville TN

15. Genesis Research Dallas TX

16. American Medical Association Chicago IL

Abstract

Background The National Patient‐Centered Clinical Research Network Blood Pressure Control Laboratory Surveillance System was established to identify opportunities for blood pressure (BP) control improvement and to provide a mechanism for tracking improvement longitudinally. Methods and Results We conducted a serial cross‐sectional study with queries against standardized electronic health record data in the National Patient‐Centered Clinical Research Network (PCORnet) common data model returned by 25 participating US health systems. Queries produced BP control metrics for adults with well‐documented hypertension and a recent encounter at the health system for a series of 1‐year measurement periods for each quarter of available data from January 2017 to March 2020. Aggregate weighted results are presented overall and by race and ethnicity. The most recent measurement period includes data from 1 737 995 patients, and 11 956 509 patient‐years were included in the trend analysis. Overall, 15% were Black, 52% women, and 28% had diabetes. BP control (<140/90 mm Hg) was observed in 62% (range, 44%–74%) but varied by race and ethnicity, with the lowest BP control among Black patients at 57% (odds ratio, 0.79; 95% CI, 0.66–0.94). A new class of antihypertensive medication (medication intensification) was prescribed in just 12% (range, 0.6%–25%) of patient visits where BP was uncontrolled. However, when medication intensification occurred, there was a large decrease in systolic BP (≈15 mm Hg; range, 5–18 mm Hg). Conclusions Major opportunities exist for improving BP control and reducing disparities, especially through consistent medication intensification when BP is uncontrolled. These data demonstrate substantial room for improvement and opportunities to close health equity gaps.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine

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