Evidence map›Paper›PMID 40186185›Full record

ArticleBMC public health2025

Equivalence of electronic health record data for measuring hypertension prevalence: a retrospective comparison to BRFSS with data from two Indiana health systems, 2021.

Katie S Allen, Justin Stiles, Veronica M Daye, Ashley Wiensch, Nimish Valvi, Brian E Dixon

Abstract readComparative Study
In one paragraph

Article in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Katie S AllenRegenstrief Institute, Inc, 1101 W. 10th Street, Indianapolis, IN, 46202, USA. allenkat@regenstrief.org.
Justin StilesRegenstrief Institute, Inc, 1101 W. 10th Street, Indianapolis, IN, 46202, USA.
Veronica M DayeIndiana Department of Health, 2 Meridian Street, Indianapolis, IN, 46204, USA.
Ashley WienschRegenstrief Institute, Inc, 1101 W. 10th Street, Indianapolis, IN, 46202, USA.
Nimish ValviBall State University, Health Professionals Building (HB 350), Muncie, IN, 47306, USA.
Brian E DixonRegenstrief Institute, Inc, 1101 W. 10th Street, Indianapolis, IN, 46202, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPublic health surveillance requires timely access to actionable data at every level. Current approaches for accessing chronic disease surveillance data are not sufficient, and health departments are increasingly looking to augment surveillance efforts using electronic health records (EHRs). While proven effective for acute syndromic surveillance, the utilization of EHR systems and health data networks for monitoring chronic conditions remains sparse. This study tested the generalizability of a previously validated hypertension computable phenotype.

methodsA previously developed phenotype was used to estimate prevalence of hypertension in a geographically and clinically distinct region from its development. To test validity, the results were compared to available, statewide Behavioral Risk Factor Surveillance System (BRFSS) data using the two one-sided t-test (TOST) of equivalence between BRFSS- and EHR-based prevalence estimates. The TOST was performed at the overall level as well as stratified by age, gender, and race/ethnicity.

resultsCompared to statewide hypertension prevalence of 34.5% in the BRFSS, an EHR-based phenotype estimated an overall prevalence of 24.1%. Estimates were not equivalent overall or across most subpopulations. Like BRFSS, we observed higher prevalence among Black men and women as well as increasing prevalence with age.

conclusionWith caveats, this study demonstrates that EHR-derived prevalence estimates may serve as a complement for population-based survey estimates. Utilizing available EHR data should increase timeliness of surveillance as well as enhance the ability of states and local health agencies to more readily address the burden of chronic disease in their respective jurisdictions.

Indexed as

Behavioral Risk Factor Surveillance SystemElectronic Health RecordsHypertensionAdolescentAdultAgedFemaleHumansIndianaMaleMiddle AgedPrevalenceRetrospective StudiesYoung AdultChronic conditionsPublic healthPublic health surveillance

Identifiers

PMID40186185
PMCPMC11971894

What Socratic holds

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LicenceCC BY-NC-ND
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Registered trials

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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 Socratic graph.