Relationship between race and access to newer mammographic technology in women with medicare insurance
Abstract
Background Racial disparities in breast cancer mortality have been reported. Mammographic technology has undergone two major technology transitions since 2000: first, the transition from screen-film mammography (SFM) to full-field digital mammography (FFDM) and second, the transition to digital breast tomosynthesis (DBT). Purpose To examine the relationship between use of newer mammographic technology and race in women receiving mammography services. Materials and Methods This was a multiyear (January 2005 to December 2020) retrospective study of women aged 40–89 years with Medicare fee-for-service insurance who underwent mammography. Data were obtained using a 5% research identifiable sample of all Medicare fee-for-service beneficiaries. Within-institution and comparable-institution use of mammographic technology between Black women or women of other races and White women were assessed with multivariable logistic and linear regression, respectively, adjusted for age, race, Charlson comorbidity index, per capita income, urbanicity, and institutional capability. Results Between 2005 and 2020, there were 4 028 696 institutional mammography claims for women (mean age, 72 years ± 8 [SD]). Within an institution, the odds ratio (OR) of Black women receiving digital mammography rather than SFM in 2005 was 0.80 (95% CI: 0.70, 0.91; P < .001) when compared with White women; these differences remained until 2009. Compared with White women, the use of DBT within an institution was less likely for Black women from 2015 to 2020 (OR, 0.84; 95% CI: 0.81, 0.87; P < .001). Across institutions, there were racial differences in digital mammography use, which followed a U-shaped pattern, and the differences peaked at 3.8 percentage points less for Black compared with White women (95% CI: –6.1, –1.6; P = .001) in 2011 and then decreased to 1.2 percentage points less (95% CI: –2.2, –0.2; P = .02) in 2016. Conclusion In the Medicare population, Black women had less access to new mammographic imaging technology compared with White women for both the transition from screen-film mammography to digital mammography and then for the transition to digital breast tomosynthesis. © RSNA, 2022 Online supplemental material is available for this article. See also the editorial by Lee and Lawson in this issue.
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In clinical practice, there are known disparities in access to newer imaging technologies and in patient outcomes for underserved populations, such as Black women.
“In clinical practice, there are known disparities in access to newer imaging technologies and patient outcomes for underserved populations, such as Black women (176-178).”
From Artificial Intelligence in Oncology: Current Landscape, Challenges, and Future Directions (2024) · cites this paper as [176]
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References 29 · Cited by 20
- Authors
- Christensen, E. W., Waid, M., Scott, J., Patel, B. K., Bello, J. A., & Rula, E. Y.
- Affiliations
- Albert Einstein College of Medicine (US)
- ORCID
- Venue
- Radiology
- Published
- 2023-02-01
- Volume
- 306
- Issue
- 2
- Pages
- e221153-e221153
- ISSN
- 0033-8419 (ISSN-L)
- 1527-1315
- OpenAlex
- W4304191644
- Cited by
- 20
- References
- 29
- Citations by year
- 2026: 1 · 2025: 5 · 2024: 6 · 2023: 7 · 2022: 1
- FWCI
- 3.06
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Radiology (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Health Sciences › Medicine › Pulmonary and Respiratory Medicine › Digital Radiography and Breast Imaging
- Health Sciences › Medicine › Oncology › Global Cancer Incidence and Screening
- Physical Sciences › Computer Science › Artificial Intelligence › AI in cancer detection
- Keywords
- racial disparities, digital mammography, digital breast tomosynthesis, screen-film mammography, Black women, Medicare beneficiaries, breast cancer screening, health disparities, technology adoption, healthcare access equity
- MeSH terms
- Aged, Breast, Breast Neoplasms, Data Collection, Female, Medicare, Humans, Mammography, Retrospective Studies, United States, Early Detection of Cancer
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