ArticlePreventing chronic disease2017
Comparing Prevalence Estimates From Population-Based Surveys to Inform Surveillance Using Electronic Health Records.
Article in Preventing chronic disease, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
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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.
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Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Investigating the Prevalence of Comorbidity in Multiple Sclerosis Clinical Trial Populations.Neurology · 2024Pooled it
- A generative approach for semantic auditing of electronic health records.NPJ digital medicine · 2026Article
- PURSUIT Protocol: Development of a Novel Approach to Managing Youth Physical and Mental Health in Schools.Children (Basel, Switzerland) · 2026Article
- Equivalence of Type 2 Diabetes Prevalence Estimates: Comparative Study of Similar Phenotyping Algorithms Using Electronic Health Record Data.JMIR public health and surveillance · 2025Article
- Sociodemographic Disparities in Obesity Prevalence Among Adults Aged 20-59 Years Between 2017 and 2023.JACC. Advances · 2025Article
- Equivalence of electronic health record data for measuring hypertension prevalence: a retrospective comparison to BRFSS with data from two Indiana health systems, 2021.BMC public health · 2025Article
- Nationwide Prevalence and Geographic Variation of Idiopathic Intracranial Hypertension among Women in the United States.Ophthalmology · 2025Article
- Weighted EHR-based prevalence estimates for hypertension at the state and local levels in Louisiana.BMC public health · 2025Article
- Vulnerability and Colorectal screening during the pandemic.Preventive medicine reports · 2024Article
- Trends in the incidence ofInfection control and hospital epidemiology · 2023Article
- The use of electronic health records to inform cancer surveillance efforts: a scoping review and test of indicators for public health surveillance of cancer prevention and control.BMC medical informatics and decision making · 2022Article
- Global and regional prevalence of disabilities among children and adolescents: Analysis of findings from global health databases.Frontiers in public health · 2022Article
- Comparison of cohort characteristics in Central Africa International Epidemiology Databases to Evaluate AIDS and Demographic Health Surveys: Rwanda and Burundi.International journal of STD & AIDS · 2021Article
- Small area estimation and childhood obesity surveillance using electronic health records.PloS one · 2021Article
- Evaluating the Representativeness of US Centricity Electronic Medical Records With Reports From the Centers for Disease Control and Prevention: Comparative Study on Office Visits and Cardiometabolic Conditions.JMIR medical informatics · 2020Article
- Assessing the National Prevalence of HIV Screening in the United States using Electronic Health Record Data.Cureus · 2019Article
- Public and Population Health Informatics: The Bridging of Big Data to Benefit Communities.Yearbook of medical informatics · 2018Review
- A simulation study investigating power estimates in phenome-wide association studies.BMC bioinformatics · 2018Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
introductionElectronic health record (EHR) systems provide an opportunity to use a novel data source for population health surveillance. Validation studies that compare prevalence estimates from EHRs and surveys most often use difference testing, which can, because of large sample sizes, lead to detection of significant differences that are not meaningful. We explored a novel application of the two one-sided t test (TOST) to assess the equivalence of prevalence estimates in 2 population-based surveys to inform margin selection for validating EHR-based surveillance prevalence estimates derived from large samples.
methodsWe compared prevalence estimates of health indicators in the 2013 Community Health Survey (CHS) and the 2013-2014 New York City Health and Nutrition Examination Survey (NYC HANES) by using TOST, a 2-tailed t test, and other goodness-of-fit measures.
resultsA ±5 percentage-point equivalence margin for a TOST performed well for most health indicators. For health indicators with a prevalence estimate of less than 10% (extreme obesity [CHS, 3.5%; NYC HANES, 5.1%] and serious psychological distress [CHS, 5.2%; NYC HANES, 4.8%]), a ±2.5 percentage-point margin was more consistent with other goodness-of-fit measures than the larger percentage-point margins.
conclusionA TOST with a ±5 percentage-point margin was useful in establishing equivalence, but a ±2.5 percentage-point margin may be appropriate for health indicators with a prevalence estimate of less than 10%. Equivalence testing can guide future efforts to validate EHR data.
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