ArticleAmerican journal of public health2017
State and Local Chronic Disease Surveillance Using Electronic Health Record Systems.
Article in American journal of public health, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 71 papers, 1 of them a synthesis that pooled it.
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Who cites it
71 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Electronic health record-based disease surveillance systems: A systematic literature review on challenges and solutions.Journal of the American Medical Informatics Association : JAMIA · 2020Pooled it
- Improving Notifiable Disease Case Reporting Through Electronic Information Exchange-Facilitated Decision Support: A Controlled Before-and-After Trial.Public health reports (Washington, D.C. : 1974)Trial
- Deploying the REACHnet Multi-State EHR-Based Network for Disease Surveillance (MENDS) node: lessons learned and tools utilized.JAMIA open · 2026Article
- Using Electronic Health Records to Enhance Lyme Disease Surveillance: Protocol for the SubLyme Network.JMIR research protocols · 2026Article
- How representative are electronic health records? A record linkage study using individual-level census data.Social science & medicine (1982) · 2026Article
- Public Health Responsible AI Capability (PH-RAIC) Framework: A Conceptual Model for Integrating AI into Public Health Agencies.Healthcare (Basel, Switzerland) · 2026Article
- A comparative analysis estimating aspergillosis and histoplasmosis encounters among inpatients in the United States using multi-regional electronic health record and National Discharge Data, 2014-2020.AJE advances : research in epidemiology · 2026Article
- Nonspecific Symptoms Attributable to Lyme Disease in High-Incidence Areas, United States, 2017-2021.Emerging infectious diseases · 2025Article
- Heart attack and stroke occurrence at the intersection of race and sexual orientation: a nationally representative study of adults in the United States.BMC public health · 2025Observational
- Blood Pressure in Young Adults in Iowa.Journal of clinical hypertension (Greenwich, Conn.) · 2025Observational
- Optimizing the efficiency and effectiveness of data quality assurance in a multicenter clinical dataset.Journal of the American Medical Informatics Association : JAMIA · 2025Article
- Trends in Multiple Chronic Conditions Among US Adults, By Life Stage, Behavioral Risk Factor Surveillance System, 2013-2023.Preventing chronic disease · 2025Article
- Community-Engaged Survey Approach to Pandemic Impacts on Marginalized Communities, Massachusetts, 2020-2021.American journal of public health · 2024Article
- Assessing Electronic Health Records for Describing Racial and Ethnic Health Disparities: A Research Note.Demography · 2024Article
- Public Health Surveillance in Electronic Health Records: Lessons From PCORnet.Preventing chronic disease · 2024Article
- Electronic Health Record Data for Lyme Disease Surveillance, Massachusetts, USA, 2017-2018.Emerging infectious diseases · 2024Article
- County Rurality and Incidence and Prevalence of Diagnosed Diabetes in the United States.Mayo Clinic proceedings · 2024Observational
- Electronic Health Record-Based Algorithm for Monitoring Respiratory Virus-Like Illness.Emerging infectious diseases · 2024Review
- Article
- Vulnerability and Colorectal screening during the pandemic.Preventive medicine reports · 2024Article
11 more citing papers are in PubMed but not listed here.
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Authors and funding
14 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectivesTo assess the feasibility of chronic disease surveillance using distributed analysis of electronic health records and to compare results with Behavioral Risk Factor Surveillance System (BRFSS) state and small-area estimates.
methodsWe queried the electronic health records of 3 independent Massachusetts-based practice groups using a distributed analysis tool called MDPHnet to measure the prevalence of diabetes, asthma, smoking, hypertension, and obesity in adults for the state and 13 cities. We adjusted observed rates for age, gender, and race/ethnicity relative to census data and compared them with BRFSS state and small-area estimates.
resultsThe MDPHnet population under surveillance included 1 073 545 adults (21.8% of the state adult population). MDPHnet and BRFSS state-level estimates were similar: 9.4% versus 9.7% for diabetes, 10.0% versus 12.0% for asthma, 13.5% versus 14.7% for smoking, 26.3% versus 29.6% for hypertension, and 22.8% versus 23.8% for obesity. Correlation coefficients for MDPHnet versus BRFSS small-area estimates ranged from 0.890 for diabetes to 0.646 for obesity.
conclusionsChronic disease surveillance using electronic health record data is feasible and generates estimates comparable with BRFSS state and small-area estimates.
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