53 research outputs found

    Monitoring Prevalence, Treatment, and Control Of Metabolic Conditions In New York City Adults Using 2013 Primary Care Electronic Health Records: A Surveillance Validation Study

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    Introduction: Electronic 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). Methods:We 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. Results: EHR-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. Conclusions: Standardized 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

    Long-standing nonkin relationships of older adults in the Netherlands and the United States

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    The main research questions of this study were (1) How long have adults in the Netherlands and the United States known members of their nonkin networks? (2) What are the predictors of long-standing nonkin relationships? and (3) Which predictors are recognizable in both societies? The data came from the NESTOR-LSN survey (3,229 adults aged 55 to 89 years in the Netherlands) and from the Northern California Community Study (n = 1,050, with 225 respondents aged 55 to 91 years in the United States). In both countries, the duration of nonkin relationships was related to the absence of network-disturbing variables (e.g., the number of years since the last move), network-sustaining variables (e.g., distance to nonkin), and other network properties (e.g., homogeneity). Nationally based differences were also observed (e.g., having a car was related to stable relationships only in the United States, and the special integrative functions of exclusive friendships were elicited only in Europe)

    A Comparison of Clinical Surveillance Systems in New York City

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    The New York City Department of Health has been developing two public health surveillance systems for chronic diseases. The first is the NYC Macroscope, which is built on a distributed query network of 740 New York City ambulatory practices all using proprietary software from one EHR vendor. The second model, Query Health, still in its initial phase, accesses data collected by a Health Information Exchange. This study compares these two models for potential disease surveillance and public health application

    A Comparison of Clinical Surveillance Systems in New York City

    Get PDF
    The New York City Department of Health has been developing two public health surveillance systems for chronic diseases. The first is the NYC Macroscope, which is built on a distributed query network of 740 New York City ambulatory practices all using proprietary software from one EHR vendor. The second model, Query Health, still in its initial phase, accesses data collected by a Health Information Exchange. This study compares these two models for potential disease surveillance and public health application
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