Evidence map›Paper›PMID 28426302›Full record

ArticleAmerican journal of public health2017

Innovations in Population Health Surveillance: Using Electronic Health Records for Chronic Disease Surveillance.

Sharon E Perlman, Katharine H McVeigh, Lorna E Thorpe, Laura Jacobson, Carolyn M Greene, R Charon Gwynn

Abstract read
In one paragraph

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 46 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
46citing papers in PubMed, 1 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

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.

2 · The registry

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.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

46 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Sharon E PerlmanSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.
Katharine H McVeighSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.
Lorna E ThorpeSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.
Laura JacobsonSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.
Carolyn M GreeneSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.
R Charon GwynnSharon E. Perlman, Katharine H. McVeigh, and R. Charon Gwynn are, and at the time of this study Carolyn M. Greene and Laura Jacobson were, with the New York City Department of Health and Mental Hygiene, Queens, NY. Lorna E. Thorpe is with the New York University School of Medicine Department of Population Health, New York, NY.

Funding

New York University, City University of New York Health Promotion & Prevention ReU48DP005008 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI THORPE, LORNA, TRINH-SHEVRIN, CHAU · 2014 to 2018
$6.9M
NYU HEALTH PROMOTION AND PREVENTION RESEARCH CENTERU48DP001904 · DP · NEW YORK UNIVERSITY SCHOOL OF MEDICINE · PI TRINH, CHAU · 2009 to 2013
$4.7M
NCCDPHP CDC HHS U48 DP001904NCCDPHP CDC HHS U48 DP005008NCEH CDC HHS U38 EH000939
6 · The paper itself

Abstract

With 87% of providers using electronic health records (EHRs) in the United States, EHRs have the potential to contribute to population health surveillance efforts. However, little is known about using EHR data outside syndromic surveillance and quality improvement. We created an EHR-based population health surveillance system called the New York City (NYC) Macroscope and assessed the validity of diabetes, hyperlipidemia, hypertension, smoking, obesity, depression, and influenza vaccination indicators. The NYC Macroscope uses aggregate data from a network of outpatient practices. We compared 2013 NYC Macroscope prevalence estimates with those from a population-based, in-person examination survey, the 2013-2014 NYC Health and Nutrition Examination Survey. NYC Macroscope diabetes, hypertension, smoking, and obesity prevalence indicators performed well, but depression and influenza vaccination estimates were substantially lower than were survey estimates. Ongoing validation will be important to monitor changes in validity over time as EHR networks mature and to assess new indicators. We discuss NYC's experience and how this project fits into the national context. Sharing lessons learned can help achieve the full potential of EHRs for population health surveillance.

Indexed as

InventionsChronic DiseaseElectronic Health RecordsFemaleHumansNew York CityNutrition SurveysPopulation SurveillancePrevalencePrimary Health Care

Identifiers

PMID28426302
PMCPMC5425902

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.