Evidence map›Paper›PMID 23596367›Full record

ArticleThe Permanente journal2013

Breast cancer screening in an insured population: whom are we missing?

Karin L Kempe, Rebecca Sam Larson, Susan Shetterley, Andra Wilkinson

Abstract read
In one paragraph

Article in The Permanente journal, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
2.0field-weighted citation impact, top 13% 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

12 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
  2. Long-term Mammography Adherence among Uninsured Women Enrolled in the Breast Screening and Patient Navigation (BSPAN) Program.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2022
    Article
  3. Article
  4. Article
  5. Travel Burden to Breast MRI and Utilization: Are Risk and Sociodemographics Related?Journal of the American College of Radiology : JACR · 2016
    Article
  6. Article
  7. The relationship between four health-related quality-of-life indicators and use of mammography and Pap test screening in US women.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2015
    Article
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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

4 authors at 3 institutions in 1 country.

Karin L KempeDepartment of Population Care and Prevention Services at Kaiser Permanente Colorado in Denver, USA. karinkempe@comcast.net
Rebecca Sam Larson
Susan Shetterley
Andra Wilkinson
Kaiser Permanente · USColorado Permanente Medical Group · USColorado School of Public Health · US

Funding

Carolina Population CenterR24HD050924 · NICHD · UNIV OF NORTH CAROLINA CHAPEL HILL · PI MORGAN, SAMUEL PHILIP · 2005 to 2014
$10.0M
NICHD NIH HHS R24 HD050924
6 · The paper itself

Abstract

introductionKaiser Permanente Colorado is an integrated health care system that uses automatic reminder programs and reduces barriers to access preventive services, including financial barriers. Breast cancer screening rates have not improved during the last five years, and rates differ between subgroups: for example, black and Latina women have lower rates of mammography screening than other racial groups.

methodsWe retrospectively evaluated data from 47,946 women age 52 to 69 years who had continuous membership for 24 months but had not undergone mammography. Poisson regression models estimated relative risk for the impact of self-identified race/ethnicity, socioeconomic characteristics, health status, and use of health care services on screening completion.

resultsThe distribution of race/ethnicity among unscreened women was 55.5% white, 7.0% Latina, and 3.7% black, but race/ethnicity data were missing for 29%. Of these, no record of race/ethnicity was available for 86.7%, and for 5.1%, the data request was recorded but the women declined to identify their race/ethnicity. Nonwhite ethnicity increased risk of screening failure if black, Latina, "other" (eg, American Indian), or missing race/ethnicity. Population-attributable risks were low for minorities compared with the group for whom race/ethnicity data was missing. A greater number of office visits in any setting was associated with greater likelihood of undergoing mammography. Women with missing race/ethnicity data had fewer visits and were less likely to have an identified primary care physician.

conclusionsGreater improvement in mammography screening rates could be achieved in our population by increasing screening among women with missing race/ethnicity data, rather than by targeting those who are known to be of racial/ethnic minorities. Efforts to address screening disparities have been refocused on inreach and outreach to our "missing women."

Indexed as

MammographyAgedBreast NeoplasmsColoradoDelivery of Health Care, IntegratedEthnicityFemaleHealth Maintenance OrganizationsHumansMass ScreeningMedically UninsuredMiddle AgedPatient Acceptance of Health CareRegression AnalysisRetrospective StudiesRisk Factors

Identifiers

PMID23596367
PMCPMC3627794
OpenAlexW1987315887

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.