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Do mobile units contribute to spatial accessibility to mammography for uninsured women?
Hughes, Amy E; Lee, Simon C; Eberth, Jan M; Berry, Emily; Pruitt, Sandi L.
Afiliação
  • Hughes AE; Department 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.
  • Lee SC; Department 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.
  • Eberth JM; Department of Epidemiology and Biostatistics, Arnold School of Public Health, University of South Carolina, Columbia, SC, USA. Electronic address: jmeberth@mailbox.sc.edu.
  • Berry E; Moncrief Cancer Center, Fort Worth, TX, USA. Electronic address: Emily.Berry@Moncrief.com.
  • Pruitt SL; Department 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.
Prev Med ; 138: 106156, 2020 09.
Article em En | MEDLINE | ID: mdl-32473958
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.
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Pessoas sem Cobertura de Seguro de Saúde Idioma: En Ano de publicação: 2020 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias da Mama / Pessoas sem Cobertura de Seguro de Saúde Idioma: En Ano de publicação: 2020 Tipo de documento: Article