Evidence map›Paper›PMID 26892310›Full record

ArticleInternational journal of health geographics2016

Is the closest facility the one actually used? An assessment of travel time estimation based on mammography facilities.

Jennifer Alford-Teaster, Jane M Lange, Rebecca A Hubbard, Christoph I Lee, Jennifer S Haas, Xun Shi, Heather A Carlos, Louise Henderson, Deirdre Hill, Anna N A Tosteson and 1 more

Abstract read
In one paragraph

Article in International journal of health geographics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

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

  1. Pooled it
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  4. Travel burden and bypassing closest site for surgical cancer treatment for urban and rural oncology patients.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2025
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  15. Differences in Travel Time to Cancer Surgery for Colon versus Rectal Cancer in a Rural State: A New Method for Analyzing Time-to-Place Data Using Survival Analysis.The Journal of rural health : official journal of the American Rural Health Association and the National Rural Health Care Association · 2020
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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

11 authors.

Jennifer Alford-TeasterDepartment of Biomedical Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. jennifer.a.alford-teaster@dartmouth.edu.
Jane M LangeGroup Health Research Institute, Seattle, WA, USA. lange.j@ghc.org.
Rebecca A HubbardDepartment of Biostatistics and Epidemiology, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, 19104, USA. rhubb@mail.med.upenn.edu.
Christoph I LeeDepartment of Radiology, University of Washington School of Medicine, Seattle, WA, USA. stophlee@uw.edu.
Jennifer S HaasDivision of General Internal Medicine and Primary Care, Brigham and Women's Hospital, Boston, MA, USA. jhaas@partners.org.
Xun ShiThe Geography Department, Dartmouth College, Hanover, NH, USA. Xun.Shi@dartmouth.edu.
Heather A CarlosNorris Cotton Cancer Center, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Heather.A.Carlos@dartmouth.edu.
Louise HendersonDepartment of Radiology, The University of North Carolina, Chapel Hill, NC, USA. louise_henderson@med.unc.edu.
Deirdre HillUniversity of New Mexico, Albuquerque, NM, USA. dahill@salud.unm.edu.
Anna N A TostesonDepartment of Biomedical Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Anna.N.A.Tosteson@dartmouth.edu.
Tracy OnegaDepartment of Biomedical Science, Geisel School of Medicine at Dartmouth, Lebanon, NH, USA. Tracy.L.Onega@dartmouth.edu.

Funding

Translational Engineering in Cancer (TEC)P30CA023108 · NCI · DARTMOUTH COLLEGE · PI Steven D Leach · 1985 to 2026
$91.3M
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
NCI NIH HHS HHSN261201100031CNCI NIH HHS P01 CA154292NCI NIH HHS P01CA154292NCI NIH HHS P30 CA023108NCI NIH HHS R01 CA149365PHS HHS HHSN261201100031C
6 · The paper itself

Abstract

backgroundCharacterizing geographic access depends on a broad range of methods available to researchers and the healthcare context to which the method is applied. Globally, travel time is one frequently used measure of geographic access with known limitations associated with data availability. Specifically, due to lack of available utilization data, many travel time studies assume that patients use the closest facility. To examine this assumption, an example using mammography screening data, which is considered a geographically abundant health care service in the United States, is explored. This work makes an important methodological contribution to measuring access--which is a critical component of health care planning and equity almost everywhere.

methodWe analyzed one mammogram from each of 646,553 women participating in the US based Breast Cancer Surveillance Consortium for years 2005-2012. We geocoded each record to street level address data in order to calculate travel time to the closest and to the actually used mammography facility. Travel time between the closest and the actual facility used was explored by woman-level and facility characteristics.

resultsOnly 35% of women in the study population used their closest facility, but nearly three-quarters of women not using their closest facility used a facility within 5 min of the closest facility. Individuals that by-passed the closest facility tended to live in an urban core, within higher income neighborhoods, or in areas where the average travel times to work was longer. Those living in small towns or isolated rural areas had longer closer and actual median drive times.

conclusionSince the majority of US women accessed a facility within a few minutes of their closest facility this suggests that distance to the closest facility may serve as an adequate proxy for utilization studies of geographically abundant services like mammography in areas where the transportation networks are well established.

Indexed as

AdultAgedAged, 80 and overFemaleHealth Services AccessibilityHumansMammographyMiddle AgedRegistriesResidence CharacteristicsTime FactorsTransportationTravelUnited States

Identifiers

PMID26892310
PMCPMC4757990

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.