Evidence map›Paper›PMID 24889479›Full record

ArticleJournal of the American College of Radiology : JACR2014

Geographic access to breast imaging for US women.

Tracy Onega, Rebecca Hubbard, Deirdre Hill, Christoph I Lee, Jennifer S Haas, Heather A Carlos, Jennifer Alford-Teaster, Andy Bogart, Wendy B DeMartini, Karla Kerlikowske and 4 more

Abstract read
In one paragraph

Article in Journal of the American College of Radiology : JACR, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.

0numbers the graph read from it
0cells of the map it votes in
43citing 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

43 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

14 authors.

Tracy OnegaDepartment of Community & Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire. Electronic address: Tracy.L.Onega@dartmouth.edu.
Rebecca HubbardGroup Health Research Institute, Seattle, Washington.
Deirdre HillUniversity of New Mexico, Albuquerque, New Mexico.
Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, Seattle, Washington; Department of Health Services, University of Washington School of Public Health, Seattle, Washington.
Jennifer S HaasDivision of General Internal Medicine, Brigham and Women's Hospital, Boston, Massachussetts.
Heather A CarlosNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Jennifer Alford-TeasterDepartment of Community & Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.
Andy BogartGroup Health Research Institute, Seattle, Washington.
Wendy B DeMartiniDepartment of Radiology, University of Wisconsin School of Medicine and Public Health, Madison, Wisconsin.
Karla KerlikowskeDepartments of Medicine and Epidemiology and Biostatistics, University of California, San Francisco, San Francisco, California.
Beth A VirnigSchool of Public Health, University of Minnesota, Minneapolis, Minnesota.
Diana S M BuistGroup Health Research Institute, Seattle, Washington.
Louise HendersonDepartment of Radiology, The University of North Carolina, Chapel Hill, Chapel Hill, North Carolina.
Anna N A TostesonDepartment of Community & Family Medicine, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; Norris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire; The Dartmouth Institute for Health Policy and Clinical Practice, Geisel School of Medicine at Dartmouth, Lebanon, New Hampshire.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
Tissue Procurement & PathologyP50CA058223 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI KATHERINE A. HOADLEY · 1992 to 2026
$59.3M
Risk-based Imaging Strategies to Improve Breast Cancer Surveillance OutcomesP01CA154292 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI Diana L Miglioretti · 2011 to 2026
$52.9M
Effectiveness of Pre-Operative MRI in Breast Cancer Surgery and OutcomesR01CA149365 · NCI · DARTMOUTH COLLEGE · PI ONEGA, TRACY · 2011 to 2015
$2.8M
Comparative Effectiveness of Advanced Imaging in CancerRC2CA148259 · NCI · DARTMOUTH COLLEGE · PI BLACK, WILLIAM C, HILLNER, BRUCE ELLIS · 2009 to 2009
$2.0M
Comparative Effectiveness of Advanced Imaging in CancerUC2CA148259 · NCI · DARTMOUTH COLLEGE · PI BLACK, WILLIAM C, HILLNER, BRUCE ELLIS · 2010 to 2010
$2.0M
NCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA023108NCI NIH HHS P50 CA058223NCI NIH HHS R01 CA149365NCI NIH HHS R01CA149365NCI NIH HHS RC2 CA148259NCI NIH HHS RC2CA148259NCI NIH HHS UC2 CA148259NIMHD NIH HHS L60 MD005349
6 · The paper itself

Abstract

purposeThe breast imaging modalities of mammography, ultrasound, and MRI are widely used for screening, diagnosis, treatment, and surveillance of breast cancer. Geographic access to breast imaging services in various modalities is not known at a national level overall or for population subgroups.

methodsA retrospective study of 2004-2008 Medicare claims data was conducted to identify ZIP codes in which breast imaging occurred, and data were mapped. Estimated travel times were made for each modality for 215,798 census block groups in the contiguous United States. Using Census 2010 data, travel times were characterized by sociodemographic factors for 92,788,909 women aged ≥30 years, overall, and by subgroups of age, race/ethnicity, rurality, education, and median income.

resultsOverall, 85% of women had travel times of ≤20 minutes to nearest mammography or ultrasound services, and 70% had travel times of ≤20 minutes for MRI with little variation by age. Native American women had median travel times 2-3 times longer for all 3 modalities, compared to women of other racial/ethnic groups. For rural women, median travel times to breast imaging services were 4-8-fold longer than they were for urban women. Black and Asian women had the shortest median travel times to services for all 3 modalities.

conclusionsTravel times to mammography and ultrasound breast imaging facilities are short for most women, but for breast MRI, travel times are notably longer. Native American and rural women are disadvantaged in geographic access based on travel times to breast imaging services. This work informs potential interventions to reduce inequities in access and utilization.

Indexed as

Health Services AccessibilityTravelAdultAgedBreast DiseasesCensusesDemographyFemaleHumansMagnetic Resonance ImagingMammographyMedicareMiddle AgedRetrospective StudiesSocioeconomic FactorsTime Factorsaccessbreast imagingdisparitiesmammographyTravel time

Identifiers

PMID24889479
PMCPMC4156905

What OpenQuestion holds

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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.