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Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis.

Publication ,  Journal Article
Akinyemiju, T; Chen, Q; Wilson, LE; Previs, RA; Joshi, A; Liang, M; Pisu, M; Ward, KC; Berchuck, A; Schymura, MJ; Huang, B
Published in: Cancer Epidemiol Biomarkers Prev
January 9, 2023

BACKGROUND: Ovarian cancer survival disparities have persisted for decades, driven by lack of access to quality treatment. We conducted structural equation modeling (SEM) to define latent variables representing three healthcare access (HCA) domains: affordability, availability, and accessibility, and evaluated the direct and indirect associations between race and ovarian cancer treatment mediated through the HCA domains. METHODS: Patients with ovarian cancer ages 65 years or older diagnosed between 2008 and 2015 were identified from the SEER-Medicare dataset. Generalized SEM was used to estimate latent variables representing HCA domains by race in relation to two measures of ovarian cancer-treatment quality: gynecologic oncology consultation and receipt of any ovarian cancer surgery. RESULTS: A total of 8,987 patients with ovarian cancer were included in the analysis; 7% were Black. The affordability [Ω: 0.876; average variance extracted (AVE) = 0.689], availability (Ω: 0.848; AVE = 0.636), and accessibility (Ω: 0.798; AVE = 0.634) latent variables showed high composite reliability in SEM analysis. Black patients had lower affordability and availability, but higher accessibility compared with non-Black patients. In fully adjusted models, there was no direct effect observed between Black race to receipt of surgery [β: -0.044; 95% confidence interval (CI), -0.264 to 0.149]; however, there was an inverse total effect (β: -0.243; 95% CI, -0.079 to -0.011) that was driven by HCA affordability (β: -0.025; 95% CI, -0.036 to -0.013), as well as pathways that included availability and consultation with a gynecologist oncologist. CONCLUSIONS: Racial differences in ovarian cancer treatment appear to be driven by latent variables representing healthcare affordability, availability, and accessibility. IMPACT: Strategies to mitigate disparities in multiple HCA domains will be transformative in advancing equity in cancer treatment.

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Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

January 9, 2023

Volume

32

Issue

1

Start / End Page

74 / 81

Location

United States

Related Subject Headings

  • White People
  • United States
  • Reproducibility of Results
  • Ovarian Neoplasms
  • Medicare
  • Latent Class Analysis
  • Humans
  • Healthcare Disparities
  • Health Services Accessibility
  • Female
 

Citation

APA
Chicago
ICMJE
MLA
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Akinyemiju, T., Chen, Q., Wilson, L. E., Previs, R. A., Joshi, A., Liang, M., … Huang, B. (2023). Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis. Cancer Epidemiol Biomarkers Prev, 32(1), 74–81. https://doi.org/10.1158/1055-9965.EPI-22-0650
Akinyemiju, Tomi, Quan Chen, Lauren E. Wilson, Rebecca A. Previs, Ashwini Joshi, Margaret Liang, Maria Pisu, et al. “Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis.Cancer Epidemiol Biomarkers Prev 32, no. 1 (January 9, 2023): 74–81. https://doi.org/10.1158/1055-9965.EPI-22-0650.
Akinyemiju T, Chen Q, Wilson LE, Previs RA, Joshi A, Liang M, et al. Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis. Cancer Epidemiol Biomarkers Prev. 2023 Jan 9;32(1):74–81.
Akinyemiju, Tomi, et al. “Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis.Cancer Epidemiol Biomarkers Prev, vol. 32, no. 1, Jan. 2023, pp. 74–81. Pubmed, doi:10.1158/1055-9965.EPI-22-0650.
Akinyemiju T, Chen Q, Wilson LE, Previs RA, Joshi A, Liang M, Pisu M, Ward KC, Berchuck A, Schymura MJ, Huang B. Healthcare Access Domains Mediate Racial Disparities in Ovarian Cancer Treatment Quality in a US Patient Cohort: A Structural Equation Modelling Analysis. Cancer Epidemiol Biomarkers Prev. 2023 Jan 9;32(1):74–81.

Published In

Cancer Epidemiol Biomarkers Prev

DOI

EISSN

1538-7755

Publication Date

January 9, 2023

Volume

32

Issue

1

Start / End Page

74 / 81

Location

United States

Related Subject Headings

  • White People
  • United States
  • Reproducibility of Results
  • Ovarian Neoplasms
  • Medicare
  • Latent Class Analysis
  • Humans
  • Healthcare Disparities
  • Health Services Accessibility
  • Female