Evidence map›Paper›PMID 29126118›Full record

ArticleJournal of the American Medical Informatics Association : JAMIA2018

Decentralized and reproducible geocoding and characterization of community and environmental exposures for multisite studies.

Cole Brokamp, Chris Wolfe, Todd Lingren, John Harley, Patrick Ryan

Abstract read
In one paragraph

Article in Journal of the American Medical Informatics Association : JAMIA, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
–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

92 citing papers in PubMed.

  1. Article
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  5. Children From Families Speaking Languages Other Than English or Spanish, Medical Complexity and PICU Utilization: Single-Center Retrospective Study, 2015-2022.Pediatric critical care medicine : a journal of the Society of Critical Care Medicine and the World Federation of Pediatric Intensive and Critical Care Societies · 2026
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  7. Establishing the PMThe Journal of allergy and clinical immunology · 2026
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  12. Analysis of a PCORnetCommunications medicine · 2026
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32 more citing papers are in PubMed but not listed here.

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

5 authors.

Cole BrokampDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Chris WolfeDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Todd LingrenDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
John HarleyDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.
Patrick RyanDepartment of Pediatrics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.

Funding

Better Outcomes for Children: Promoting Excellence in Healthcare Genomics to Inform PolicyU01HG008666 · NHGRI · CINCINNATI CHILDRENS HOSP MED CTR · PI HARLEY, JOHN BARKER · 2015 to 2019
$4.2M
NHGRI NIH HHS U01 HG008666
6 · The paper itself

Abstract

objectiveGeocoding and characterizing geographic, community, and environmental characteristics of study participants is frequently done in epidemiological studies. However, participant addresses are identifiable protected health information (PHI) and geocoding must be conducted in a Health Insurance Portability and Accountability Act-compliant manner. Our objective was to create a software application for this process that addresses limitations in current approaches. MATERIALS AND

methodsWe used a containerization platform to create DeGAUSS (Decentralized Geomarker Assessment for Multi-Site Studies), a software application that facilitates reproducible geocoding and geomarker assessment while maintaining the confidentiality of PHI. To validate the software, 215 350 addresses in Hamilton County, Ohio, were geocoded using DeGAUSS, ArcGIS, Google, and SAS and compared to a gold-standard approach. We distributed the DeGAUSS software to sites in an ongoing multisite study (Electronic Medical Records and Genomics, or eMERGE), and individual sites independently geocoded and assigned median census tract-level income and distance to nearest major roadway to their participants' addresses, removed associated PHI, and returned deidentified data.

resultsWithin a multisite study, 52 244 study participants' addresses across 5 sites were geocoded with a median distance to roadway of 10 022m and a median census tract income of $57 266, demonstrating the feasibility of DeGAUSS within a multisite study. Compared to other commonly used geocoding platforms, DeGAUSS had similar geocoding and geomarker assessment accuracies.

conclusionThe open source DeGAUSS software overcomes multiple challenges in the use of address data in multisite studies and also serves as a more general reproducible research tool for geocoding and geomarker assessment.

Indexed as

geocodinggeomarker assessmentmultisite studyreproducible research

Identifiers

PMID29126118
PMCPMC7378876

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.