Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana
Post-stratification weighting of MENDS data brought EHR-based data estimates closer to survey-based estimates of hypertension and can improve representativeness of chronic disease indicators. These estimates can provide public health organizations with timely, accurate, and local information. Further, EHR-based systems can produce unique measures, such as the prevalence of hypertension control, which can provide a more nuanced understanding of community needs and help public health agencies evaluate the effectiveness of community interventions.
Authors
- Jeanie Donovan
- Thomas W. Carton (ORCID: https://orcid.org/0000-0003-0059-1990)
- Elizabeth Nauman (ORCID: https://orcid.org/0009-0008-8092-7071)
- Lee Mendoza
- Michael Klompas (ORCID: https://orcid.org/0000-0001-8641-4498)
- Jie Cheng (ORCID: https://orcid.org/0000-0002-7620-4507)
- Arun Adhikari
- Sandra L. Jackson
- Adam S. Vaughan (ORCID: https://orcid.org/0000-0002-2445-1725)
- Meng Zhang (ORCID: https://orcid.org/0000-0003-4935-4005)
- Wenjun Li (ORCID: https://orcid.org/0000-0001-5335-7386)
- Katherine H. Hohman
Institutions
- Louisiana State Department of Health and Hospitals (US)
- Centers for Disease Control and Prevention (US)
- University of Massachusetts Lowell (US)
- Harvard University (US)
- Louisiana Public Health Institute (US)
- Harvard Pilgrim Health Care (US)
- National Center for Chronic Disease Prevention and Health Promotion (US)
- National Association of Chronic Disease Directors (US)
Publication Details
- Journal
- BMC Public Health
- Published
- 2025-02-03
- DOI
- https://doi.org/10.1186/s12889-025-21633-7
- Citations
- 4
- Primary Topic
- Blood Pressure and Hypertension Studies
- Type
- article
- Field-Weighted Citation Impact
- 5.55
Funders
- Patient-Centered Outcomes Research Institute
- Centers for Disease Control and Prevention
- National Center for Chronic Disease Prevention and Health Promotion