Evidence map›Paper›PMID 32473958›Full record

ArticlePreventive medicine2020

Do mobile units contribute to spatial accessibility to mammography for uninsured women?

Amy E Hughes, Simon C Lee, Jan M Eberth, Emily Berry, Sandi L Pruitt

Open access · greenAbstract read
In one paragraph

Article in Preventive medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
0.3field-weighted citation impact, top 40% of its field
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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 15 citations in OpenAlex.

  1. Mobile Cancer Screening Programs: A Systematic Review of Implementation Challenges and Population Access.International journal of environmental research and public health · 2026
    Pooled it
  2. Article
  3. Review
  4. Article
  5. Article
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 at 3 institutions in 1 country.

Amy E HughesDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA. Electronic address: AmyE.Hughes@UTSouthwestern.edu.
Simon C LeeDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA. Electronic address: SimonCraddock.Lee@UTSouthwestern.edu.
Jan M EberthDepartment of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. Electronic address: jmeberth@mailbox.sc.edu.
Emily BerryMoncrief Cancer Center, Fort Worth, TX, USA. Electronic address: Emily.Berry@Moncrief.com.
Sandi L PruittDepartment of Population and Data Sciences, University of Texas Southwestern Medical Center, Dallas, TX, USA; Harold C. Simmons Comprehensive Cancer Center, Dallas, TX, USA. Electronic address: Sandi.Pruitt@UTSouthwestern.edu.
The University of Texas Southwestern Medical Center · USHarold C. Simmons Comprehensive Cancer CenterUniversity of South Carolina · US

Funding

BEHAVIORAL SCIENCE EDUCATION--CANCER PREVENTION/CONTROLR25CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI MULLEN, PATRICIA DOLAN · 1992 to 2017
$8.6M
Cancer Prevention and Control Research Training and Career Development ProgramT32CA057712 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI Bijal A. Balasubramanian, Maria Eulalia Fernandez · 2018 to 2026
$3.2M
NCI NIH HHS R25 CA057712NCI NIH HHS T32 CA057712
6 · The paper itself

Abstract

Limited spatial accessibility to mammography, and socioeconomic barriers (e.g., being uninsured), may contribute to rural disparities in breast cancer screening. Although mobile mammography may contribute to population-level access, few studies have investigated this relationship. We measured mammography access for uninsured women using the variable two-step floating catchment area (V2SFCA) method, which estimates access at the local level using estimated potential supply and demand. Specifically, we measured supply with mammography machine certifications in 2014 from FDA and brick-and-mortar and mobile facility data from the community-based Breast Screening and Patient Navigation (BSPAN) program. We measured potential demand using Census tract-level estimates of female residents aged 45-74 from 5-year 2012-2016 American Community Survey data. Using the sign test, we compared mammography access estimates based on 3 facility groupings: FDA-certified, program brick-and-mortar only, and brick-and-mortar plus mobile. Using all mammography facilities, accessibility was high in urban Dallas-Ft. Worth, low for the ring of adjacent counties, and high for rural counties outlying this ring. Brick-and-mortar-based estimates were lower for the outlying ring, and mobile-unit contribution to access was observed more in urban tracts. Weak mobile-unit contribution across the study area may indicate suboptimal dispatch of mobile units to locations. Geospatial methods could identify the optimal locations for mobile units, given existing brick-and-mortar facilities, to increase access for underserved areas.

Indexed as

Breast NeoplasmsMedically UninsuredEarly Detection of CancerFemaleHealth Services AccessibilityHumansMammographyMass ScreeningMobile Health UnitsBreast cancerMammographyMobile mammographyRuralSpatial accessibility

Identifiers

PMID32473958
PMCPMC7388587
OpenAlexW3032424877

What OpenQuestion holds

Textmetadata
LicenceTDM
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.