Associations of Healthcare Affordability, Availability, and Accessibility with Quality Treatment Metrics in Patients with Ovarian Cancer

Tomi F. Akinyemiju, Lauren E. Wilson, Nicole Diaz, Anjali Gupta, Bin Huang, Maria Pisu, April Deveaux, Margaret Liang, Rebecca A. Previs, Haley A. Moss, Ashwini Joshi, Kevin C. Ward, Maria J. Schymura, Andrew Berchuck, Arnold L. Potosky

Research output: Contribution to journalArticlepeer-review

2 Scopus citations

Abstract

Background: Differential access to quality care is associated with racial disparities in ovarian cancer survival. Few studies have examined the association of multiple healthcare access (HCA) dimensions with racial disparities in quality treatment metrics, that is, primary debulking surgery performed by a gynecologic oncologist and initiation of guideline-recommended systemic therapy. Methods: We analyzed data for patients with ovarian cancer diagnosed from 2008 to 2015 in the Surveillance, Epidemiology, and End Results–Medicare database. We defined HCA dimensions as affordability, availability, and accessibility. Modified Poisson regressions with sandwich error estimation were used to estimate the relative risk (RR) for quality treatment. Results: The study cohort was 7% NH-Black, 6% Hispanic, and 87% NH-White. Overall, 29% of patients received surgery and 68% initiated systemic therapy. After adjusting for clinical variables, NH-Black patients were less likely to receive surgery [RR, 0.83; 95% confidence interval (CI), 0.70–0.98]; the observed association was attenuated after adjusting for healthcare affordability, accessibility, and availability (RR, 0.91; 95% CI, 0.77–1.08). Dual enrollment in Medicaid and Medicare compared with Medicare only was associated with lower likelihood of receiving surgery (RR, 0.86; 95% CI, 0.76–0.97) and systemic therapy (RR, 0.94; 95% CI, 0.92–0.97). Receiving treatment at a facility in the highest quartile of ovarian cancer surgical volume was associated with higher likelihood of surgery (RR, 1.12; 95% CI, 1.04–1.21). Conclusions: Racial differences were observed in ovarian cancer treatment quality and were partly explained by multiple HCA dimensions. Impact: Strategies to mitigate racial disparities in ovarian cancer treatment quality must focus on multiple HCA dimensions. Additional dimensions, acceptability and accommodation, may also be key to addressing disparities.

Original languageEnglish
Pages (from-to)1383-1393
Number of pages11
JournalCancer Epidemiology Biomarkers and Prevention
Volume31
Issue number7
DOIs
StatePublished - Jul 2022

Bibliographical note

Publisher Copyright:
©2022 American Association for Cancer Research

ASJC Scopus subject areas

  • Epidemiology
  • Oncology

Fingerprint

Dive into the research topics of 'Associations of Healthcare Affordability, Availability, and Accessibility with Quality Treatment Metrics in Patients with Ovarian Cancer'. Together they form a unique fingerprint.

Cite this