Literature DB >> 35477150

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

Tomi F Akinyemiju1,2, Lauren E Wilson1, Nicole Diaz1, Anjali Gupta1, Bin Huang3, Maria Pisu4, April Deveaux1, Margaret Liang4,5, Rebecca A Previs6, Haley A Moss6, Ashwini Joshi1, Kevin C Ward7, Maria J Schymura8, Andrew Berchuck6, Arnold L Potosky9.   

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. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35477150      PMCID: PMC9250633          DOI: 10.1158/1055-9965.EPI-21-1227

Source DB:  PubMed          Journal:  Cancer Epidemiol Biomarkers Prev        ISSN: 1055-9965            Impact factor:   4.090


  43 in total

1.  Sociodemographic disparities in advanced ovarian cancer survival and adherence to treatment guidelines.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Belinda Campos; Leo R Chavez; Hoda Anton-Culver
Journal:  Obstet Gynecol       Date:  2015-04       Impact factor: 7.661

2.  Disparities in the allocation of treatment in advanced ovarian cancer: are there certain patient characteristics associated with nonstandard therapy?

Authors:  Dana M Chase; Stacey Fedewa; Tatiana Stanisic Chou; Amy Chen; Elizabeth Ward; Wendy R Brewster
Journal:  Obstet Gynecol       Date:  2012-01       Impact factor: 7.661

3.  Sensitivity of Medicare Data to Identify Oncologists.

Authors:  Joan L Warren; Michael J Barrett; Dolly P White; Robert Banks; Susannah Cafardi; Lindsey Enewold
Journal:  J Natl Cancer Inst Monogr       Date:  2020-05-01

4.  Coding algorithms for defining comorbidities in ICD-9-CM and ICD-10 administrative data.

Authors:  Hude Quan; Vijaya Sundararajan; Patricia Halfon; Andrew Fong; Bernard Burnand; Jean-Christophe Luthi; L Duncan Saunders; Cynthia A Beck; Thomas E Feasby; William A Ghali
Journal:  Med Care       Date:  2005-11       Impact factor: 2.983

Review 5.  Race in ovarian cancer treatment and survival: a systematic review with meta-analysis.

Authors:  Mishka Terplan; Erica J Smith; Sarah M Temkin
Journal:  Cancer Causes Control       Date:  2009-03-14       Impact factor: 2.506

6.  Mortality and Hospitalizations for Dually Enrolled and Nondually Enrolled Medicare Beneficiaries Aged 65 Years or Older, 2004 to 2017.

Authors:  Rishi K Wadhera; Yun Wang; Jose F Figueroa; Francesca Dominici; Robert W Yeh; Karen E Joynt Maddox
Journal:  JAMA       Date:  2020-03-10       Impact factor: 56.272

7.  Adherence to treatment guidelines for ovarian cancer as a measure of quality care.

Authors:  Robert E Bristow; Jenny Chang; Argyrios Ziogas; Hoda Anton-Culver
Journal:  Obstet Gynecol       Date:  2013-06       Impact factor: 7.661

8.  Assessing comorbidity using claims data: an overview.

Authors:  Carrie N Klabunde; Joan L Warren; Julie M Legler
Journal:  Med Care       Date:  2002-08       Impact factor: 2.983

9.  Influence of the gynecologic oncologist on the survival of ovarian cancer patients.

Authors:  John K Chan; Daniel S Kapp; Jacob Y Shin; Amreen Husain; Nelson N Teng; Jonathan S Berek; Kathryn Osann; Gary S Leiserowitz; Rosemary D Cress; Cynthia O'Malley
Journal:  Obstet Gynecol       Date:  2007-06       Impact factor: 7.661

10.  Individual and neighborhood socioeconomic status and healthcare resources in relation to black-white breast cancer survival disparities.

Authors:  Tomi F Akinyemiju; Amr S Soliman; Norman J Johnson; Sean F Altekruse; Kathy Welch; Mousumi Banerjee; Kendra Schwartz; Sofia Merajver
Journal:  J Cancer Epidemiol       Date:  2013-02-20
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