Seasonal variation in blood pressure control across US health systems

Author:

Nilles Ester Kim1,Champon XiaoXia1,Mulder Hillary1,Shaw Kathryn M.2,Smith Myra2,Lampron Zachary M.1,Wozniak Gregory3,Chamberlain Alanna M.45,Carton Thomas6,Viera Anthony J.7,Ahmad Faraz S.8,Steinberg Benjamin A.9,Chuang Cynthia H.10,Mctigue Kathleen M.11,McClay James C.12,Polonsky Tamar S.13,Maeztu Carlos14,Sanders Margaret6,Warren Nate15,Singh Rajbir16,Liu Mei2,VanWormer Jeffrey J.17,Park Soo18,Modrow Madelaine Faulkner18,Rakotz Michael3,Cooper-Dehoff Rhonda M.19,Pletcher Mark J.18,O’Brien Emily C.1

Affiliation:

1. Duke Clinical Research Institute, School of Medicine, Duke University, Durham, North Carolina

2. Department of Health Outcomes and Biomedical Informatics, College of Medicine, University of Florida, Gainesville, Florida

3. American Medical Association, Chicago, Illinois

4. Department of Quantitative Health Sciences

5. Department of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota

6. Louisiana Public Health Institute, Tulane University, New Orleans, Louisiana

7. Department of Family Medicine and Community Health, School of Medicine, Duke University, Durham, North Carolina

8. Departments of Medicine and Preventive Medicine, Feinberg School of Medicine, Northwestern University, Chicago, Illinois

9. Cardiovascular Medicine Division, University of Utah, Salt Lake City, Utah

10. Penn State College of Medicine, Penn State University, Hershey

11. Department of Medicine, University of Pittsburgh, Pittsburgh, Pennsylvania

12. University of Nebraska, Omaha, Nebraska

13. Biological Sciences Division, University of Chicago, Chicago, Illinois

14. Department of Health Outcomes and Policy, Clinical and Translational Science Institute, University of Florida, Gainesville, Florida

15. OCHIN, Portland, Oregon

16. Meharry Medical College, Nashville, Tennessee

17. Marshfield Clinic Research Institute, Center for Clinical Epidemiology and Population Health, Marshfield, Wisconsin

18. Department of Epidemiology and Biostatistics, University of California, San Francisco, California

19. Department of Pharmacotherapy and Translational Research, Division of Cardiovascular Medicine, College of Medicine, University of Florida, Gainesville, Florida, USA

Abstract

Objective: We aimed to characterize seasonal variation in US population-based blood pressure (BP) control and BP-related metrics and evaluate the association between outdoor temperature and BP control variation. Methods: We queried electronic health records (EHRs) from 26 health systems, representing 21 states, to summarize BP metrics by quarters of 12-month periods from January 2017 to March 2020. Patients with at least one ambulatory visit during the measurement period and a hypertension diagnosis during the first 6 months or prior to the measurement period were included. Changes in BP control, BP improvement, medication intensification, average SBP reduction after medication intensification across quarters and association with outdoor temperature were analyzed using weighted generalized linear models with repeated measures. Results: Among 1 818 041 people with hypertension, the majority were more than 65 years of age (52.2%), female (52.1%), white non-Hispanic (69.8%) and had stage 1/2 hypertension (64.8%). Overall, BP control and process metrics were highest in quarters 2 and 3, and lowest in quarters 1 and 4. Quarter 2 had the highest percentage of improved BP (31.95 ± 0.90%) and average SBP reduction after medication intensification (16 ± 0.23 mmHg). Quarter 3 had the highest percentage of BP controlled (62.25 ± 2.55%) and lowest with medication intensification (9.73 ± 0.60%). Results were largely consistent in adjusted models. Average temperature was associated with BP control metrics in unadjusted models, but associations were attenuated following adjustment. Conclusion: In this large, national, EHR-based study, BP control and BP-related process metrics improved during spring/summer months, but outdoor temperature was not associated with performance following adjustment for potential confounders.

Publisher

Ovid Technologies (Wolters Kluwer Health)

Subject

Cardiology and Cardiovascular Medicine,Physiology,Internal Medicine

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