Evidence map›Paper›PMID 28731892›Full record

ArticleMedical care2017

Racial Differences in Geographic Access to Medical Care as Measured by Patient Report and Geographic Information Systems.

Michelle S Wong, David T Grande, Nandita Mitra, Archana Radhakrishnan, Charles C Branas, Katelyn R Ward, Craig E Pollack

Registry-linked trialAbstract read
In one paragraph

Article in Medical care, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05016505 (A Randomized Controlled Trial to Support Smoke-Free Policy Compliance in Public Housing), which is not on this map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing 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.

NCT05016505 nacompletednot on this mapstarted 2022, after this paper: background citation

A Randomized Controlled Trial to Support Smoke-Free Policy Compliance in Public Housing

TypeinterventionalSponsorColumbia UniversityRan2022 to 2025Enrolled405ConditionsSmoking, Smoking Cessation, Smoking Reduction, Smoking BehaviorsArmsReduction (relocation and reduction of personal smoking) and cessation, Resident Endorsement
3 · Its place in the literature

Who cites it

17 citing papers in PubMed.

  1. Article
  2. Article
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  4. Article
  5. Article
  6. Review
  7. Article
  8. HCBS Service Spending and Nursing Home Placement for Patients With Alzheimer's Disease and Related Dementias: Does Race Matter?Journal of applied gerontology : the official journal of the Southern Gerontological Society · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Article
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  17. Review
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

7 authors.

Michelle S Wong*Department of Health Policy and Management, Johns Hopkins School of Public Health, Baltimore, MD †Division of General Internal Medicine, University of Pennsylvania ‡Department of Biostatistics and Epidemiology, University of Pennsylvania, Philadelphia, PA §Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD ∥Department of Epidemiology, Columbia University, New York, NY ¶Division of General Internal Medicine, University of Pennsylvania, Philadelphia, PA #Division of General Internal Medicine, Johns Hopkins School of Medicine, Baltimore, MD.
David T Grande
Nandita Mitra
Archana Radhakrishnan
Charles C Branas
Katelyn R Ward
Craig E Pollack

Funding

BEHAVIORAL RESEARCH IN HEART &VASCULAR DISEASET32HL007180 · NHLBI · JOHNS HOPKINS UNIVERSITY · PI MARUTHUR, NISA M · 1985 to 2020
$11.4M
Clinical Research&Epidemiology in Diabetes&EndocrinologyT32DK062707 · NIDDK · JOHNS HOPKINS UNIVERSITY · PI TODD T BROWN, Wendy Lynet Bennett · 2002 to 2026
$7.3M
Research Traiing/Education CoreP60MD006900 · NIMHD · UNIVERSITY OF PENNSYLVANIA · PI ARMSTRONG, KATRINA · 2012 to 2016
$6.6M
A Network Analytic Approach to Modeling Variation in Prostate Cancer CareK07CA151910 · NCI · JOHNS HOPKINS UNIVERSITY · PI POLLACK, CRAIG EVAN · 2011 to 2015
$780k
NCI NIH HHS K07 CA151910NHLBI NIH HHS T32 HL007180NIDDK NIH HHS T32 DK062707NIMHD NIH HHS P60 MD006900
6 · The paper itself

Abstract

backgroundGeographic access-the travel burden required to reach medical care-is an important aspect of care. Studies, which typically rely on geographic information system (GIS) calculated travel times, have found some evidence of racial disparities in spatial access to care. However, the validity of these studies depends on the accuracy of travel times by patient race.

objectivesTo determine if there are racial differences when comparing patient-reported and GIS-calculated travel times. RESEARCH

designData came from the Philadelphia Area Prostate Cancer Access Study (P Access), a cohort study of men diagnosed with localized prostate cancer. We conducted cross-sectional analysis of 2136 men using multivariable linear mixed-effects models to examine the effect of race on differences in patient-reported and GIS-calculated travel times to urology and radiation oncology cancer providers.

resultsPatient-reported travel times were, on an average, longer than GIS-calculated times. For urology practices, median patient-reported travel times were 12.7 minutes longer than GIS-calculated travel times for blacks versus 7.2 minutes longer for whites. After adjusting for potential confounders, including socioeconomic status and car access, the difference was significantly greater for black patients than white patients (2.0 min; 95% confidence interval, 0.58-3.44).

conclusionsGIS-calculated travel time may underestimate access to care, especially for black patients. Future studies that use GIS-calculated travel times to examine racial disparities in spatial access to care might consider including patient-reported travel times and controlling for factors that might affect the accuracy of GIS-calculated travel times.

Indexed as

AgedBlack or African AmericanCross-Sectional StudiesGeographic Information SystemsHealth Services AccessibilityHumansMaleMiddle AgedProstatic NeoplasmsSocioeconomic FactorsTime FactorsTransportationWhite People

Identifiers

PMID28731892
PMCPMC5554077

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Registered trials

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.