The Breast‐Imaging Operations, Practices and Systems Inventory

A framework to examine mammography facility effects on screening in rural communities

Bibliographic Data

ID19433205
AuthorsRoger T Anderson (0000-0001-8112-4117, University of Virginia Comprehensive Cancer Center Charlottesville Virginia USA, corresponding author), Marianne M Hillemeier (0000-0002-7726-0754, Department of Health Policy and Administration Pennsylvania State University University Park Pennsylvania USA), Fabian Camacho (0000-0002-4878-0283, Department of Public Health Sciences University of Virginia School of Medicine Charlottesville Virginia USA), Jennifer A Harvey (0000-0001-9131-3974, Department of Imaging Sciences University of Rochester Medical Center Rochester New York USA), Gloribel Bonilla (0000-0003-4272-1191, University of Virginia Comprehensive Cancer Center Charlottesville Virginia USA), George P Batten (University of Virginia Comprehensive Cancer Center Charlottesville Virginia USA), Brenna Robinson (0000-0003-2499-2107, University of Virginia Comprehensive Cancer Center Charlottesville Virginia USA), Cara B Safon (0000-0001-6183-7750, Department of Health Law, Policy, and Management Boston University School of Public Health Boston Massachusetts USA), Chris Louis (Department of Health Law, Policy, and Management Boston University School of Public Health Boston Massachusetts USA)
Year2024
Volume40
Issue2
Pages282-291
Publication date2024-03-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenueThe Journal of Rural Health (JOURNAL)
Journal identifiersISSN: 0890-765X • E-ISSN: 1748-0361
PublisherWiley (PUBLISHER • GB)
DOI10.1111/jrh.12798
PMID37787554
OpenAlexW4387296637
LanguageEN
Citations received1
References cited45

PURPOSE: Develop and test a measurement framework of mammogram facility resources, policies, and practices in Appalachia. METHODS: Survey items describing 7 domains of imaging facility qualities were developed and tested in the Appalachian regions of Kentucky, Ohio, Pennsylvania, Virginia, and West Virginia. Medicare claims data (2016-2018) were obtained on catchment area mammogram services. Construct validity was examined from associations with facility affiliation, community characteristics, mammogram screening uptake, and market reach. Analyses were performed with t-tests and ANOVA. RESULTS: A total of 192 (of 377) sites completed the survey. Five factors were initially selected in exploratory factor analysis (FA) and refined in confirmatory FA: capacity, outreach & marketing, operational support, radiology review (NNFI = .94, GFI = 0.93), and diagnostic services (NNFI = 1.00, GFI = 0.99). Imaging capacity and diagnostic services were associated with screening uptake, with capacity strongly associated with catchment area demographic and economic characteristics. Imaging facilities in economically affluent versus poorer areas belong to larger health systems and have significantly more resources (P < .001). Facilities in economically distressed locations in Appalachia rely more heavily on outreach activities (P < .001). Higher facility capacity was significantly associated (P < .05) with larger catchment area size (median split: 48.5 vs 51.6), mammogram market share (47.4 vs 52.7), and screening uptake (47.6 vs 52.4). CONCLUSIONS: A set of 18 items assessing breast imaging services and facility characteristics was obtained, representing policies and practices related to a facility's catchment area size, market share, and mammogram screening uptake

Appalachia · Breast cancer · Business · Cartography · Catchment area · Confirmatory factor analysis · Drainage basin · Economic growth · Economics · Environmental health · Family medicine · Geography · Mammography · Outreach · Digital Radiography and Breast Imaging · Global Cancer Incidence and Screening · Medicine · Radiology practices and education · Marketing

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