scholarly journals Hospital Payer and Racial/Ethnic Mix at Private Academic Medical Centers in Boston and New York City

2017 ◽  
Vol 47 (3) ◽  
pp. 460-476 ◽  
Author(s):  
Roosa Sofia Tikkanen ◽  
Steffie Woolhandler ◽  
David U. Himmelstein ◽  
Nancy R. Kressin ◽  
Amresh Hanchate ◽  
...  

Academic medical centers (AMCs) are widely perceived as providing the highest-quality medical care. To investigate disparities in access to such care, we studied the racial/ethnic and payer mixes at private AMCs of New York City (NYC) and Boston, two cities where these prestigious institutions play a dominant role in the health care system. We used individual-level inpatient discharge data for acute care hospitals to examine the degree of hospital racial/ethnic and insurance segregation in both cities using the Index of Dissimilarity, together with recent changes in patterns of care in NYC. In multivariable logistic regression analyses, black patients in NYC were two to three times less likely than whites, and uninsured patients approximately five times less likely than privately insured patients, to be discharged from AMCs. In Boston, minorities were overrepresented at AMCs relative to other hospitals. NYC hospitals were more segregated overall according to race/ethnicity and insurance than Boston hospitals, and insurance segregation became more pronounced in NYC after the Affordable Care Act. Although health reform improved access to insurance, access to AMCs remains limited for disadvantaged populations, which may undermine the quality of care available to these groups.

2011 ◽  
Vol 24 (8) ◽  
pp. 904-910 ◽  
Author(s):  
K. White ◽  
L. N. Borrell ◽  
D. W. Wong ◽  
S. Galea ◽  
G. Ogedegbe ◽  
...  

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Matthew S. Simon ◽  
Angela Loo ◽  
Michael Satlin ◽  
Harjot Singh ◽  
Christina Chai ◽  
...  

2017 ◽  
Vol 107 (7) ◽  
pp. 1157-1163 ◽  
Author(s):  
Don C. Des Jarlais ◽  
Kamyar Arasteh ◽  
Courtney McKnight ◽  
Jonathan Feelemyer ◽  
Susan Tross ◽  
...  

2021 ◽  
Vol 39 (15_suppl) ◽  
pp. 10555-10555
Author(s):  
Genevieve A. Fasano ◽  
Yalei Chen ◽  
Solange Bayard ◽  
Melissa Davis ◽  
Vivian Bea ◽  
...  

10555 Background: The COVID-19 surge in March 2020 resulted in a hiatus placed on screening mammography programs in support of shelter-in-place mandates and diversion of medical resources to pandemic management. The COVID-related economic recession and ongoing social distancing policies continued to influence screening practices after the hiatus was lifted. We evaluated the effect of the hiatus on breast cancer stage distribution on the diverse patient population of a health care system in New York City, the first pandemic epicenter in the United States. Methods: Breast cancer patients diagnosed January 1, 2019 to December 31, 2020 were analyzed, with comparisons of stage distribution and mammography screen-detection for three intervals: Pre-Hiatus, During Hiatus (March 15, 2020 to June 15, 2020), and Post-Hiatus. Results were stratified by African American (AA), White American (WA), Asian (As) and Hispanic/Latina (Hisp) self-reported racial/ethnic identity. Results: A total of 894 patients were identified; of these, 549 WA, 100 AA, 104 As, and 93 Hisp comprised the final race/ethnicity-stratified study population. Overall, 588 patients were diagnosed Pre-Hiatus, 61 During-Hiatus, and 245 Post-Hiatus. Nearly two-thirds (65.5%) of the Pre-Hiatus cases were screen-detected versus 49.2% During-Hiatus and 54.7% Post-Hiatus (p = 0.002). Frequency of tumors diagnosed < 1 cm declined from 41.9% Pre-Hiatus to 31.7% Post-Hiatus (p = 0.035). WA patients were more likely to have screen-detected disease compared to AA in the Pre-Hiatus period (69.1% vs. 56.1%; p = 0.05) but non-significantly more likely to have screen-detected disease compared to As and Hisp patients (66.2% vs. 56.9%; p = 0.08). In the Post-Hiatus period, the frequency of screen-detected disease was highest among WA patients (63.0%) compared to all other racial/ethnic groups (AA; 48.1%, As-33.3%, and Hisp-40%; p = 0.007). Similar patterns were observed for frequency of tumors diagnosed ≤1cm Pre-Hiatus (WA-44.3% vs AA-26%, p = 0.02; and vs. As-41.3%, Hisp-48%; p = 0.09), and Post-Hiatus (WA-37.7% vs. AA-18.2%, As-30.8%, Hisp-23.5%; p = 0.25). Conclusions: The 3-month pandemic-related mammography screening hiatus resulted in a more advanced stage distribution for New York City breast cancer patients, and worsened pre-existing race/ethnicity-associated disparities, especially for AA pts.


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