Evidence map›Paper›PMID 39901106›Full record

ArticleBMC public health2025

Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana.

Wenjun Li, Meng Zhang, Jie Cheng, Sandra L Jackson, Adam S Vaughan, Michael Klompas, Thomas W Carton, Elizabeth Nauman, Lee Mendoza, Arun Adhikari and 2 more

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Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Wenjun LiDepartment of Public Health and Center for Health Statistics, University of Massachusetts Lowell, Lowell, MA, USA.
Meng ZhangDepartment of Public Health and Center for Health Statistics, University of Massachusetts Lowell, Lowell, MA, USA.
Jie ChengDepartment of Public Health and Center for Health Statistics, University of Massachusetts Lowell, Lowell, MA, USA.
Sandra L JacksonDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Adam S VaughanDivision for Heart Disease and Stroke Prevention, National Center for Chronic Disease Prevention and Health Promotion, Centers for Disease Control and Prevention, Atlanta, GA, USA.
Michael KlompasDepartment of Population Medicine, Harvard Medical School and Harvard Pilgrim Health Care Institute, Boston, MA, USA.
Thomas W CartonLouisiana Public Health Institute, New Orleans, LA, USA.
Elizabeth NaumanLouisiana Public Health Institute, New Orleans, LA, USA.
Lee MendozaLouisiana Department of Health, Office of Public Health, Baton Rouge, LA, USA.
Arun AdhikariLouisiana Department of Health, Office of Public Health, Baton Rouge, LA, USA.
Jeanie DonovanNew Orleans Health Department, New Orleans, LA, USA.
Katherine H HohmanNational Association of Chronic Disease Directors, 101 W. Ponce de Leon, Decatur, GA, 30030, USA. khohman@chronicdisease.org.

Funding

CDC HHS NU38OT000286OSTLTS CDC HHS NU38OT000286
6 · The paper itself

Abstract

backgroundModernization of public health data systems is a national priority. Improved chronic disease surveillance can provide more timely, accurate, and local measures to inform public health policy and intervention. Although electronic health record (EHR) data have great potential for surveillance, population coverage is non-random, which may result in biased estimates. Statistical approaches are needed to adjust estimates to represent the underlying population and validate the results against independent estimates.

methodsMENDS, the Multi-State-EHR-Based Network for Disease Surveillance, uses EHR data to calculate chronic disease and risk factor prevalence metrics. In this study, we applied post-stratification weighting to MENDS data from nearly 800,000 adults from Louisiana to estimate the prevalence of hypertension and hypertension control at the state and parish (county-equivalent) levels during February 2023. We then compared weighted MENDS hypertension prevalence estimates with measures derived from traditional public health surveillance.

resultsWeighted MENDS hypertension prevalence estimates were approximately 10% lower than crude MENDS estimates, and approximately 13% higher than hypertension awareness estimates from the 2021 Behavioral Risk Factor Surveillance System, with similar geographic and demographic patterns. Weighted MENDS hypertension prevalence estimates indicated that 43.0% of Louisiana adult residents had hypertension (versus 47.7% crude prevalence). Prevalence was higher than the overall state estimate among men (47.3% weighted; 55.9% crude), Black patients (50.2% weighted; 55.7% crude), those receiving Medicare (70.6% weighted; 76.2% crude), and individuals living in rural areas (46.1% weighted; 49.8% crude). Hypertension prevalence increased with age and with more clinical visits during the previous 2 years. Hypertension prevalence was highest in the southeastern parishes near New Orleans and Baton Rouge. Demographic and geographic patterns in prevalence of hypertension control were like hypertension prevalence.

conclusionsPost-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.

Indexed as

Electronic Health RecordsHypertensionPopulation SurveillanceAdolescentAdultAgedFemaleHumansLouisianaMaleMiddle AgedPrevalenceRisk FactorsYoung AdultChronic diseaseElectronic health recordsHypertensionPopulation healthStatisticsSurveillance

Identifiers

PMID39901106
PMCPMC11792441

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.