Evidence map›Paper›PMID 26208105›Full record

ArticleJournal of women's health (2002)2015

Is Availability of Mammography Services at Federally Qualified Health Centers Associated with Breast Cancer Mortality-to-Incidence Ratios? An Ecological Analysis.

Swann Arp Adams, Seul Ki Choi, Jan M Eberth, Daniela B Friedman, Mei Po Yip, Reginald D Tucker-Seeley, Lisa T Wigfall, James R Hébert

Abstract readComparative Study
In one paragraph

Article in Journal of women's health (2002), 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Observational
  5. Article
  6. Article
  7. Article
  8. Adams et al. Respond.American journal of public health · 2016
    Article
  9. 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

8 authors.

Swann Arp Adams1 Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.
Seul Ki Choi1 Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.
Jan M Eberth1 Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.
Daniela B Friedman1 Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.
Mei Po Yip5 Division of General Internal Medicine, University of Washington , Seattle, Washington.
Reginald D Tucker-Seeley6 Center for Community Based Research, Dana-Farber Cancer Institute , Boston, Massachusetts.
Lisa T Wigfall8 Institute for Partnerships to Eliminate Health Disparities, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.
James R Hébert1 Cancer Prevention and Control Program, Arnold School of Public Health, University of South Carolina , Columbia, South Carolina.

Funding

HEALTH PROMOTION AND DISEASE PREVENTION RESEARCH CENTERS: CENTER PROPOSAL CAT. 1U48DP001936 · DP · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILCOX, SARA · 2009 to 2013
$7.3M
Faith, Activity, and Nutrition: Dissemination in Underserved CommunitiesU48DP005000 · DP · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI WILCOX, SARA · 2014 to 2019
$5.9M
Training ProgramU54CA153461 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2010 to 2015
$4.8M
Cancer Control Dissemination to Asian AmericansR01CA124397 · NCI · UNIVERSITY OF WASHINGTON · PI TU, SHIN-PING · 2007 to 2011
$998k
Expanding Mentoring Capacity in High-Risk PopulationsK05CA136975 · NCI · UNIVERSITY OF SOUTH CAROLINA AT COLUMBIA · PI HEBERT, JAMES R · 2009 to 2013
$801k
Financial well-being following prostate cancer diagnosisK01CA169041 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI TUCKER-SEELEY, REGINALD D. · 2012 to 2016
$675k
NCCDPHP CDC HHS U48/DP001936NCCDPHP CDC HHS U48/DP005000-01S2NCI NIH HHS 1K01CA169041-01NCI NIH HHS 1U54 CA153461-01NCI NIH HHS K05 CA136975NCI NIH HHS R01 CA 124397
6 · The paper itself

Abstract

objectiveMammography is the most effective method to detect breast cancer in its earliest stages, reducing the risk of breast cancer death. We investigated the relationship between accessibility of mammography services at Federally Qualified Health Centers (FQHCs) and mortality-to-incidence ratio (MIR) of breast cancer in each county in the United States.

methodsCounty-level breast cancer mortality and incidence rates in 2006-2010 were used to estimate MIRs. We compared breast cancer MIRs based on the density and availability of FQHC delivery sites with or without mammography services both in the county and in the neighboring counties.

resultsThe relationship between breast cancer MIRs and access to mammography services at FQHCs differed by race and county of residence. Breast cancer MIRs were lower in counties with mammography facilities or FQHC delivery sites than in counties without a mammography facility or FQHC delivery site. This trend was stronger in urban counties (p=0.01) and among whites (p=0.008). Counties with a high density of mammography facilities had lower breast cancer MIRs than other counties, specifically in urban counties (p=0.01) and among whites (p=0.01). Breast cancer MIR for blacks was the lowest in counties having mammography facilities; and was highest in counties without a mammography facility within the county or the neighboring counties (p=0.03).

conclusionsMammography services provided at FQHCs may have a positive impact on breast cancer MIRs. Expansion of services provided at the FQHCs and placement of FQHCs in additional underserved areas might help to reduce cancer disparities in the United States.

Indexed as

MammographyBlack or African AmericanBreast NeoplasmsEarly Detection of CancerFemaleHealthcare DisparitiesHealth Services AccessibilityHumansIncidenceMedically Underserved AreaPreventive Health ServicesResidence CharacteristicsRural PopulationSafety-net ProvidersSocioeconomic FactorsUnited States

Identifiers

PMID26208105
PMCPMC4808280

What OpenQuestion holds

Textmetadata
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.