ArticleAmerican journal of public health2015
Determining Chronic Disease Prevalence in Local Populations Using Emergency Department Surveillance.
Article in American journal of public health, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 27 citations in OpenAlex.
- Evaluation of Federally Mandated Smoke-Free Housing Policy and Health Outcomes Among Adults Over the Age of 50 in Low-Income, Public Housing in New York City, 2015-2022.Nicotine & tobacco research : official journal of the Society for Research on Nicotine and Tobacco · 2025Article
- Uses of Social Determinants of Health Data to Address Cardiovascular Disease and Health Equity: A Scoping Review.Journal of the American Heart Association · 2023Article
- Mapping chronic disease prevalence based on medication use and socio-demographic variables: an application of LASSO on administrative data sources in healthcare in the Netherlands.BMC public health · 2021Article
- Comparing methods of performing geographically targeted rural health surveillance.Emerging themes in epidemiology · 2020Article
- Parkinson's disease prevalence, age distribution and staging in Colombia.Neurology international · 2020Article
- Article
- Age Disparities Among Patients With Type 2 Diabetes and Associated Rates of Hospital Use and Diabetic Complications.Preventing chronic disease · 2019Article
- Issues in Building a Nursing Home Syndromic Surveillance System with Textmining: Longitudinal Observational Study.JMIR public health and surveillance · 2018Article
- Using Geospatial Analysis and Emergency Claims Data to Improve Minority Health Surveillance.Journal of racial and ethnic health disparities · 2018Article
- Using Indirect Measures to Identify Geographic Hot Spots of Poor Glycemic Control: Cross-sectional Comparisons With an A1C Registry.Diabetes care · 2018Article
- Identifying Geographic Disparities in Diabetes Prevalence Among Adults and Children Using Emergency Claims Data.Journal of the Endocrine Society · 2018Article
- Assessing the Reliability of Performing Citywide Chronic Disease Surveillance Using Emergency Department Data from Sentinel Hospitals.Population health management · 2017Article
- Academic and Government Partnerships to Address Diabetes in the USA: a Narrative Review.Current diabetes reports · 2017Review
- Identifying Local Hot Spots of Pediatric Chronic Diseases Using Emergency Department Surveillance.Academic pediatrics · 2017Article
- Geographic Distribution of Disaster-Specific Emergency Department Use After Hurricane Sandy in New York City.Disaster medicine and public health preparedness · 2016Article
- Emergency Department Visits for Homelessness or Inadequate Housing in New York City before and after Hurricane Sandy.Journal of urban health : bulletin of the New York Academy of Medicine · 2016Article
- Can Electronic Health Records Be Used for Population Health Surveillance? Validating Population Health Metrics Against Established Survey Data.EGEMS (Washington, DC) · 2016Article
- Measuring Subcounty Differences in Population Health Using Hospital and Census-Derived Data Sets: The Missouri ZIP Health Rankings Project.Journal of public health management and practice : JPHMPArticle
Corrections and comments
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Authors and funding
7 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesWe sought to improve public health surveillance by using a geographic analysis of emergency department (ED) visits to determine local chronic disease prevalence.
methodsUsing an all-payer administrative database, we determined the proportion of unique ED patients with diabetes, hypertension, or asthma. We compared these rates to those determined by the New York City Community Health Survey. For diabetes prevalence, we also analyzed the fidelity of longitudinal estimates using logistic regression and determined disease burden within census tracts using geocoded addresses.
resultsWe identified 4.4 million unique New York City adults visiting an ED between 2009 and 2012. When we compared our emergency sample to survey data, rates of neighborhood diabetes, hypertension, and asthma prevalence were similar (correlation coefficient = 0.86, 0.88, and 0.77, respectively). In addition, our method demonstrated less year-to-year scatter and identified significant variation of disease burden within neighborhoods among census tracts.
conclusionsOur method for determining chronic disease prevalence correlates with a validated health survey and may have higher reliability over time and greater granularity at a local level. Our findings can improve public health surveillance by identifying local variation of disease prevalence.
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Registered trials
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.