ArticleEGEMS (Washington, DC)2016
Monitoring Prevalence, Treatment, and Control of Metabolic Conditions in New York City Adults Using 2013 Primary Care Electronic Health Records: A Surveillance Validation Study.
Article in EGEMS (Washington, DC), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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.
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.
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Who cites it
25 citing papers in PubMed.
- Implementation of a surveillance and monitoring system for chronic disease: A scoping review: Running title: Chronic disease surveillance and monitoring system.AIMS public health · 2026Review
- Nationwide Prevalence and Geographic Variation of Idiopathic Intracranial Hypertension among Women in the United States.Ophthalmology · 2025Article
- Sociodemographic correlates of hypertension prevalence, awareness, and control in the Eastern Caribbean.Lancet regional health. Americas · 2025Article
- Addressing Selection Biases within Electronic Health Record Data for Estimation of Diabetes Prevalence among New York City Young Adults: A Cross-Sectional Study.BMJ public health · 2024Article
- Identification of Hypertension in Electronic Health Records Through Computable Phenotype Development and Validation for Use in Public Health Surveillance: Retrospective Study.JMIR formative research · 2023Article
- Utilization of Electronic Health Records for Chronic Disease Surveillance: A Systematic Literature Review.Cureus · 2023Review
- State-level metabolic comorbidity prevalence and control among adults age 50-plus with diabetes: estimates from electronic health records and survey data in five states.Population health metrics · 2022Article
- A process to deduplicate individuals for regional chronic disease prevalence estimates using a distributed data network of electronic health records.Learning health systems · 2022Article
- 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
- Post-9/11 veterans' heart disease knowledge, self-perceived risk, and prevention beliefs and behaviors.Health psychology : official journal of the Division of Health Psychology, American Psychological Association · 2021Article
- A Case Study of Early-Onset Colorectal Cancer: Using Electronic Health Records to Support Public Health Surveillance on an Emerging Cancer Control Topic.Journal of registry management · 2021Article
- Prevalence estimation by joint use of big data and health survey: a demonstration study using electronic health records in New York city.BMC medical research methodology · 2020Article
- Denominators Matter: Understanding Medical Encounter Frequency and Its Impact on Surveillance Estimates Using EHR Data.EGEMS (Washington, DC) · 2019Article
- Completeness of Electronic Dental Records in a Student Clinic: Retrospective Analysis.JMIR medical informatics · 2019Article
- Using the emergency department to investigate smoking in young adults.Annals of epidemiology · 2019Article
- Using Calibration to Reduce Measurement Error in Prevalence Estimates Based on Electronic Health Records.Preventing chronic disease · 2018Article
- NYC HANES 2013-14 and Reflections on Future Population Health Surveillance.Journal of urban health : bulletin of the New York Academy of Medicine · 2018Article
- Electronic health record case studies to advance environmental public health tracking.Journal of biomedical informatics · 2018Article
- Generalizability of Indicators from the New York City Macroscope Electronic Health Record Surveillance System to Systems Based on Other EHR Platforms.EGEMS (Washington, DC) · 2017Article
- Academic and Government Partnerships to Address Diabetes in the USA: a Narrative Review.Current diabetes reports · 2017Review
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
introductionElectronic health records (EHRs) can potentially extend chronic disease surveillance, but few EHR-based initiatives tracking population-based metrics have been validated for accuracy. We designed a new EHR-based population health surveillance system for New York City (NYC) known as NYC Macroscope. This report is the third in a 3-part series describing the development and validation of that system. The first report describes governance and technical infrastructure underlying the NYC Macroscope. The second report describes validation methods and presents validation results for estimates of obesity, smoking, depression and influenza vaccination. In this third paper we present validation findings for metabolic indicators (hypertension, hyperlipidemia, diabetes).
methodsWe compared EHR-based estimates to those from a gold standard surveillance source - the 2013-2014 NYC Health and Nutrition Examination Survey (NYC HANES) - overall and stratified by sex and age group, using the two one-sided test of equivalence and other validation criteria.
resultsEHR-based hypertension prevalence estimates were highly concordant with NYC HANES estimates. Diabetes prevalence estimates were highly concordant when measuring diagnosed diabetes but less so when incorporating laboratory results. Hypercholesterolemia prevalence estimates were less concordant overall. Measures to assess treatment and control of the 3 metabolic conditions performed poorly. DISCUSSION: While indicator performance was variable, findings here confirm that a carefully constructed EHR-based surveillance system can generate prevalence estimates comparable to those from gold-standard examination surveys for certain metabolic conditions such as hypertension and diabetes.
conclusionsStandardized EHR metrics have potential utility for surveillance at lower annual costs than surveys, especially as representativeness of contributing clinical practices to EHR-based surveillance systems increases.
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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.