Evidence map›Paper›PMID 27663209›Full record

ArticleAnnals of epidemiology2017

The utility of EMR address histories for assessing neighborhood exposures.

Amy E Hughes, Sandi L Pruitt

Abstract readComparative Study
In one paragraph

Article in Annals of epidemiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

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

  1. The quality of social determinants data in the electronic health record: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2021
    Pooled it
  2. Article
  3. Article
  4. Strategies for ascertaining timing of address changes in administrative data.International journal of population data science · 2025
    Article
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  10. Social Disadvantage, Healthcare Utilization, and Colorectal Cancer Screening: Leveraging Longitudinal Patient Address and Health Records Data.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2018
    Article
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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

2 authors.

Amy E HughesDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas. Electronic address: amy.speer@utsouthwestern.edu.
Sandi L PruittDepartment of Clinical Sciences, University of Texas Southwestern Medical Center, Dallas; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX.

Funding

UT Southwestern Medical Center Simmons Comprehensive Cancer CenterP30CA142543 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI MELANIE H. COBB · 2010 to 2026
$53.7M
UT Southwestern Center for Translational Medicine (UL1/KL2/TL1)UL1TR001105 · NCATS · UT SOUTHWESTERN MEDICAL CENTER · PI TOTO, ROBERT DANIEL · 2013 to 2017
$24.5M
BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
Parkland-UT Southwestern PROSPR Center Colon Cancer Screening in a Safety netU54CA163308 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI SKINNER, CELETTE SUGG · 2011 to 2017
$8.0M
NCATS NIH HHS UL1 TR001105NCI NIH HHS P30 CA142543NCI NIH HHS R25 CA057712NCI NIH HHS U54 CA163308
6 · The paper itself

Abstract

purposeElectronic medical records (EMRs) include residential address histories, which may alleviate exposure misclassification caused by exclusion of patient spatiotemporal location. EMR data are increasingly available but rarely leveraged as a measure of cumulative environmental exposure, in part due to limited understanding of the validity of EMR-derived address histories.

methodsWe compared EMR address histories to self-reported histories among 100 patients of a safety-net health care system completing a telephone survey. We assessed agreement and compared seven neighborhood-level environmental exposures as assessed using both data sources.

resultsWhile 17.1% of respondents did not live at the most recent EMR-derived address during the survey, nearly all (98%) lived there at some point. For respondents with more than one EMR-derived address (N = 64), 87.5% had once lived at the previous EMR address. Of these, 30.4% lived at 1 or more additional residences between the two most recent EMR address. For all measures, neighborhood-level environmental exposures did not differ when using EMR-derived versus self-report addresses.

conclusionsMore recent EMR-derived addresses are more accurate, and differences compared to self-reported addresses in neighborhood-level exposures are negligible. EMR-derived address histories are incomplete and likely suffer from collection bias; future research should further assess their validity and reliability.

Indexed as

Population DynamicsResidence CharacteristicsAir PollutionBiasCross-Sectional StudiesElectronic Health RecordsEnvironmental ExposureFemaleGeographic Information SystemsHumansMaleReproducibility of ResultsSelf ReportUnited StatesElectronic medical recordGeographic information systemsNeighborhoodsResidential mobility

Identifiers

PMID27663209
PMCPMC5482357

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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.