Evidence map›Paper›PMID 34189019›Full record

ArticlePreventive medicine reports2021

Novel mapping methods to describe utilization of free breast cancer screening from a state program.

Kelly D Hughes, David Haynes, Anne M Joseph

Open access · goldAbstract read
In one paragraph

Article in Preventive medicine reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.7field-weighted citation impact, top 27% 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, 8 citations in OpenAlex.

  1. Article
  2. Article
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  5. The effect of pre-aggregation scale on spatially adaptive filters.Spatial and spatio-temporal epidemiology · 2022
    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

3 authors at 2 institutions in 1 country.

Kelly D HughesMinnesota Department of Health, Sage Program, 85 7th Place E, St. Paul, MN 55101 USA.
David HaynesUniversity of Minnesota, Institute for Health Informatics, Suite 8-100, 516 Delaware Street SE, Minneapolis, MN 55455 USA.
Anne M JosephUniversity of Minnesota, Department of Medicine, Division of General Internal Medicine, 420 Delaware St SE, MMC 194, Minneapolis, MN 55455 USA.
University of Minnesota · USMinnesota Department of Health · US

Funding

University of Minnesota Clinical and Translational Science Institute (UMN CTSI)UL1TR002494 · NCATS · UNIVERSITY OF MINNESOTA · PI BLAZAR, BRUCE R, WEISDORF, DANIEL J · 2018 to 2022
$34.9M
6 · The paper itself

Abstract

introductionThe National Breast and Cervical Cancer Early Detection Program (NBCCEDP) is a cancer screening program whose mission is to reduce cancer morbidities for uninsured and underinsured women. A primary activity is to connect women to breast cancer screening. The eligible population and utilization of NBCCEDP screening services have never been quantified at a sub-state level, which hampers effective program evaluation. Here, the Minnesota NBCCEDP, "Sage", serves as a case study to demonstrate novel spatial analysis methods that depict variation of screening rates at the local level.

methodsWomen who received breast cancer screening through Sage between 2011 and 2015 were geocoded (N = 74,712 screenings); analysis occurred between 2017 and 2019. We determine an eligible population using a synthetic population dataset that provides geographic residence and demographic information. We introduce a novel spatial analysis technique, spatially adaptive filters (SAFs), to create a utilization map of Sage breast screening services by Minnesota women.

resultsBetween 2011 and 2015, an average of 36,979 women per year were eligible for NBCCEDP breast cancer screening services, representing 3% of the Minnesota female population 40 and older. For Minnesota NBCCEDP eligible women, the state average breast cancer screening utilization rate was 37.2%, but varied considerably by local regions within the state (range 0% to 131%, SD = 18.7%).

conclusionsThis geospatial model estimated screening service utilization at the local level and enables Minnesota's Sage program to target specific areas they have yet to reach. Similar programs could employ this model to direct program activities.

Indexed as

Breast NeoplasmsEarly Detection of CancerFemaleGeographic Information SystemsGeographic MappingHumansMedically UninsuredMinnesotaProgram Evaluation

Identifiers

PMID34189019
PMCPMC8219894
OpenAlexW3171838729

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.