Evidence map›Paper›PMID 20187277›Full record

ArticleJournal of urban health : bulletin of the New York Academy of Medicine2010

Methods for retrospective geocoding in population studies: the Jackson Heart Study.

Jennifer C Robinson, Sharon B Wyatt, DeMarc Hickson, Danielle Gwinn, Fazlay Faruque, Mario Sims, Daniel Sarpong, Herman A Taylor

Abstract readValidation Study
In one paragraph

Article in Journal of urban health : bulletin of the New York Academy of Medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

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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

8 authors.

Jennifer C RobinsonSchool of Nursing, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39216-4505, USA. jcrobinson@son.umsmed.edu
Sharon B Wyatt
DeMarc Hickson
Danielle Gwinn
Fazlay Faruque
Mario Sims
Daniel Sarpong
Herman A Taylor

Funding

JACKSON HEART STUDY--EXAM CENTERN01HC095171 · HC · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI JONES, DANIEL W · 1999 to 2001
$4.6M
Health Promotion/Risk Reduction Interventions with Vulnerable PopulationsT32NR007073 · NINR · UNIVERSITY OF MICHIGAN AT ANN ARBOR · PI VILLARRUEL, ANTONIA M. · 1992 to 2012
$4.1M
JACKSON HEART STUDY--TRAINING CENTERN01HC095172 · HC · TOUGALOO COLLEGE · PI SRINIVASAN, ASOKA · 1999 to 2001
$516k
Development of a humanized anti-CD47 antibody for treatment of tissue ischemia.R41HL095172 · NHLBI · VASCULOX, INC. · PI FRAZIER, WILLIAM A · 2009 to 2009
$198k
Physical Activity as a Function of Neighborhood ContextF31NR008460 · NINR · UNIVERSITY OF MISSISSIPPI MEDICAL CENTER · PI ROBINSON, JENNIFER C · 2004 to 2005
$46k
JACKSON HEART STUDY-N01HC95170N01HC095170 · HC · JACKSON STATE UNIVERSITY · PI TAYLOR, HERMAN ALFRED · 1999 to 2006
$20k
NHLBI NIH HHS N01 HC095170NHLBI NIH HHS N01 HC095171NHLBI NIH HHS N01 HC095172NHLBI NIH HHS N01-HC-95170NHLBI NIH HHS N01-HC-95171NHLBI NIH HHS N01-HC-95172NINR NIH HHS F31-NR0008460NINR NIH HHS F31 NR008460NINR NIH HHS T32 NR007073NINR NIH HHS T32-NR07073
6 · The paper itself

Abstract

The increasing use of geographic information systems (GIS) in epidemiological population studies requires careful attention to the methods employed in accomplishing geocoding and creating a GIS. Studies have provided limited details,hampering the ability to assess validity of spatial data. The purpose of this paper is to describe the multiphase geocoding methods used to retrospectively create a GIS in the Jackson Heart Study (JHS). We used baseline data from 5,302 participants enrolled in the JHS between 2000 and 2004 in a multiphase process to accomplish geocoding2 years after participant enrollment. After initial deletion of ungeocodable addresses(n=52), 96% were geocoded using ArcGIS. An interactive method using data abstraction from participant records, use of additional maps and street reference files,and verification of existence of address, yielded successful geocoding of all but 13 addresses. Overall, nearly 99% (n=5,237) of the JHS cohort was geocoded retrospectively using the multiple strategies for improving and locating geocodable addresses. Geocoding validation procedures revealed highly accurate and reliable geographic data. Using the methods and protocol developed provided a reliable spatial database that can be used for further investigation of spatial epidemiology. Baseline results were used to describe participants by select geographic indicators, including residence in urban or rural areas, as well as to validate the effectiveness of the study's sampling plan. Further, our results indicate that retrospectively developing a reliable GIS for a large, epidemiological study is feasible. This paper describes some of the challenges in retrospectively creating a GIS and provides practical tips that enhanced the success.

Indexed as

Epidemiologic MethodsGeographic Information SystemsAdultAgedAged, 80 and overAtherosclerosisBlack or African AmericanCensusesDatabases, FactualDemographyFemaleHumansLongitudinal StudiesMaleMiddle AgedMississippi

Identifiers

PMID20187277
PMCPMC2821611

What OpenQuestion holds

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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.