ArticleJournal of clinical hypertension (Greenwich, Conn.)2016
Development and Validation of a Hypertension Prevalence Estimator Tool For Use in Clinical Settings.
Article in Journal of clinical hypertension (Greenwich, Conn.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Triglyceride-glucose index as a biochemical predictor of hypertension in patients with type 2 diabetes and prediabetes: Evidence from the NHANES database.Journal of medical biochemistry · 2026Article
- Association of the triglyceride-glucose series indices with hypertension and pre-hypertension in Anhui China.Scientific reports · 2025Article
- Influence of altitude on hypertension phenotypes and responses to antihypertensive therapy: Review of the literature and design of the INTERVENCION trial.Journal of clinical hypertension (Greenwich, Conn.) · 2020Review
- Application of a Tool to Identify Undiagnosed Hypertension - United States, 2016.MMWR. Morbidity and mortality weekly report · 2018Article
- TyG-BMI and hypertension in Normoglycemia subjects in Japan: A cross-sectional study.Diabetes & vascular disease researchArticle
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
Health systems are well positioned to identify and control hypertension among their patients. However, almost one third of US adults with uncontrolled hypertension are currently receiving medical care and are unaware of being hypertensive. This study describes the development and validation of a tool that health systems can use to compare their reported hypertension prevalence with their expected prevalence. Tool users provide the number of patients aged 18 to 85 years treated annually, stratified by sex, age group, race/ethnicity, and comorbidity status. Each stratum is multiplied by stratum-specific national prevalence estimates and the amounts are summed to calculate the number of expected hypertensive patients. The tool's validity was assessed by applying samples from cohorts with known hypertension prevalence; small differences in expected vs actual prevalence were identified (range, -3.3% to 0.6%). This tool provides clinically useful hypertension prevalence estimates that health systems can use to help inform hypertension management quality improvement efforts.
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