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Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.

Publication ,  Journal Article
Akinyemiju, TF; Naik, G; Ogunsina, K; Dibaba, DT; Vin-Raviv, N
Published in: Cancer Causes Control
March 2018

BACKGROUND: This study examines whether racial disparities in hospitalization outcomes persist between African-American and White women with ovarian cancer after matching on demographic, presentation, and treatment factors. METHODS: Using data from the Nationwide Inpatient Sample database, 5,164 African-American ovarian cancer patients were sequentially matched with White patients on demographic (e.g., age, income), presentation (e.g., stage, comorbidities), and treatment (e.g., surgery, radiation) factors. Racial differences in-hospital length of stay, post-operative complications, and in-hospital mortality were evaluated using conditional logistic regression models. RESULTS: White ovarian cancer patients had relatively higher odds of post-operative complications when matched on demographics (OR 1.35, 95% CI 1.05, 1.74), and presentation (OR 1.28, 95% CI 1.00, 1.65) but not when additionally matched on treatment (OR 1.03, 95% CI 0.78, 1.35). African-American patients had longer in-hospital length of stay (6.96 ± 7.21 days) compared with White patients when matched on demographics (6.37 ± 7.07 days), presentation (6.48 ± 7.16 days), and treatment (6.53 ± 7.59 days). Compared with African-American patients, White patients experienced lower odds of in-hospital mortality when matched on demographics (OR 0.78, 95% CI 0.66, 0.92), but this disparity was no longer significant when additionally matched on presentation (OR 0.88, 95% CI 0.75, 1.04) and treatment (OR 0.95, 95% CI 0.81, 1.12). CONCLUSION: Racial disparities in ovarian cancer hospitalization outcomes persisted after adjusting for demographic and presentation factors; however these differences were eliminated after additionally accounting for treatment factors. More studies are needed to determine the factors driving racial differences in ovarian cancer treatment in otherwise similar patient populations.

Duke Scholars

Published In

Cancer Causes Control

DOI

EISSN

1573-7225

Publication Date

March 2018

Volume

29

Issue

3

Start / End Page

333 / 342

Location

Netherlands

Related Subject Headings

  • White People
  • United States
  • Treatment Outcome
  • Ovarian Neoplasms
  • Odds Ratio
  • Middle Aged
  • Logistic Models
  • Humans
  • Hospitalization
  • Healthcare Disparities
 

Citation

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Akinyemiju, T. F., Naik, G., Ogunsina, K., Dibaba, D. T., & Vin-Raviv, N. (2018). Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes. Cancer Causes Control, 29(3), 333–342. https://doi.org/10.1007/s10552-018-1010-7
Akinyemiju, Tomi F., Gurudatta Naik, Kemi Ogunsina, Daniel T. Dibaba, and Neomi Vin-Raviv. “Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.Cancer Causes Control 29, no. 3 (March 2018): 333–42. https://doi.org/10.1007/s10552-018-1010-7.
Akinyemiju TF, Naik G, Ogunsina K, Dibaba DT, Vin-Raviv N. Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes. Cancer Causes Control. 2018 Mar;29(3):333–42.
Akinyemiju, Tomi F., et al. “Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes.Cancer Causes Control, vol. 29, no. 3, Mar. 2018, pp. 333–42. Pubmed, doi:10.1007/s10552-018-1010-7.
Akinyemiju TF, Naik G, Ogunsina K, Dibaba DT, Vin-Raviv N. Demographic, presentation, and treatment factors and racial disparities in ovarian cancer hospitalization outcomes. Cancer Causes Control. 2018 Mar;29(3):333–342.
Journal cover image

Published In

Cancer Causes Control

DOI

EISSN

1573-7225

Publication Date

March 2018

Volume

29

Issue

3

Start / End Page

333 / 342

Location

Netherlands

Related Subject Headings

  • White People
  • United States
  • Treatment Outcome
  • Ovarian Neoplasms
  • Odds Ratio
  • Middle Aged
  • Logistic Models
  • Humans
  • Hospitalization
  • Healthcare Disparities