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Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients.

Publication ,  Journal Article
Anyanwu, MC; Ohamadike, O; Wilson, LE; Meernik, C; Huang, B; Pisu, M; Liang, M; Previs, RA; Joshi, A; Ward, KC; Tucker, T; Schymura, MJ ...
Published in: J Pain Symptom Manage
December 2022

OBJECTIVE: Lack of access to supportive care (SC) among cancer patients have been well documented. However, the role of affordability in this disparity among ovarian cancer (OC) patients remain poorly understood. METHODS: Patients with OC between 2008 and 2015 were identified from the SEER-Medicare dataset. Racial disparities in utilization of SC medications within the six months of OC diagnosis among patients with Medicare Part D coverage was examined. Multivariable log-binomial regression models were used to examine the associations of race, affordability and SC medications after adjusting for clinical covariates among all patients and separately among patients with advanced-stage disease. RESULTS: The study cohort included 3697 patients: 86% non-Hispanic White (NHW), 6% non-Hispanic Black (NHB), and 8% Hispanic. In adjusted models, NHB and Hispanic patients were less likely to receive antidepressants compared to NHW patients (NHB: aOR 0.46; 95% CI 0.33-0.63 and Hispanic: aOR 0.79; 95% CI 0.63-0.99). This association persisted for NHB patients with advanced-stage disease (aOR 0.42; 95% CI 0.28-0.62). Patients dual enrolled in Medicaid were more likely to receive antidepressants (overall: aOR 1.34; 95% CI 1.17-1.53 and advanced-stage: aOR 1.29; 95% CI 1.10-1.52). However, patients residing in areas with higher vs. lower proportions of lower educated adults (overall: aOR 0.82; 95% CI 0.70-0.97 and advanced-stage: aOR 0.82; 95% CI 0.68-0.99) were less likely to receive antidepressants. CONCLUSION: Black OC patients and those living in lower educated areas were less likely to receive antidepressants as SC. Given the importance of post-primary treatment quality of life for cancer patients, interventions are needed to enhance equitable access to SC.

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Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

December 2022

Volume

64

Issue

6

Start / End Page

537 / 545

Location

United States

Related Subject Headings

  • White People
  • United States
  • Quality of Life
  • Ovarian Neoplasms
  • Medicare
  • Humans
  • Female
  • Costs and Cost Analysis
  • Black or African American
  • Anesthesiology
 

Citation

APA
Chicago
ICMJE
MLA
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Anyanwu, M. C., Ohamadike, O., Wilson, L. E., Meernik, C., Huang, B., Pisu, M., … Akinyemiju, T. (2022). Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients. J Pain Symptom Manage, 64(6), 537–545. https://doi.org/10.1016/j.jpainsymman.2022.08.021
Anyanwu, Mercy C., Onyinye Ohamadike, Lauren E. Wilson, Clare Meernik, Bin Huang, Maria Pisu, Margaret Liang, et al. “Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients.J Pain Symptom Manage 64, no. 6 (December 2022): 537–45. https://doi.org/10.1016/j.jpainsymman.2022.08.021.
Anyanwu MC, Ohamadike O, Wilson LE, Meernik C, Huang B, Pisu M, et al. Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients. J Pain Symptom Manage. 2022 Dec;64(6):537–45.
Anyanwu, Mercy C., et al. “Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients.J Pain Symptom Manage, vol. 64, no. 6, Dec. 2022, pp. 537–45. Pubmed, doi:10.1016/j.jpainsymman.2022.08.021.
Anyanwu MC, Ohamadike O, Wilson LE, Meernik C, Huang B, Pisu M, Liang M, Previs RA, Joshi A, Ward KC, Tucker T, Schymura MJ, Berchuck A, Akinyemiju T. Race, Affordability and Utilization of Supportive Care in Ovarian Cancer Patients. J Pain Symptom Manage. 2022 Dec;64(6):537–545.
Journal cover image

Published In

J Pain Symptom Manage

DOI

EISSN

1873-6513

Publication Date

December 2022

Volume

64

Issue

6

Start / End Page

537 / 545

Location

United States

Related Subject Headings

  • White People
  • United States
  • Quality of Life
  • Ovarian Neoplasms
  • Medicare
  • Humans
  • Female
  • Costs and Cost Analysis
  • Black or African American
  • Anesthesiology