Literature DB >> 22183213

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

Dana M Chase1, Stacey Fedewa, Tatiana Stanisic Chou, Amy Chen, Elizabeth Ward, Wendy R Brewster.   

Abstract

OBJECTIVE: To explore data from the National Cancer Database to identify pretreatment patient characteristics associated with receipt of nonstandard treatment for advanced ovarian cancer.
METHODS: Between 2003 and 2006, there were 47,390 patients with ovarian cancer registered with the National Cancer Database. Variables included demographics, insurance, Charlson comorbidity score, zip income, and facility characteristics. Multivariable log binomial regression analyses were performed to assess factors associated with nonstandard care.
RESULTS: Among the 47,390 patients, 27,045 (81%) were stage IIIC or IV. After excluding patients with missing treatment information (n=1,129 [2.38%]), 13,789 (53.21%) had received standard treatment. In multivariable analyses, uninsured and Medicaid-insured patients were less likely to receive standard treatment as compared with privately insured patients (relative risk 0.88, 95% confidence interval [CI] 0.83-0.93 and relative risk 0.91, 95% CI 0.86-0.95, respectively). African Americans and Hispanics were also less likely to receive standard treatment (relative risk 0.87, 95% CI 0.83-0.92 and relative risk 0.89, 95% CI 0.84-0.94, respectively). Patients with a Charlson comorbidity score of 2+ were less likely to receive standard care (relative risk 0.74, 95% CI 0.68-0.80). Treatment at a community cancer hospital compared with a teaching hospital was also less likely to be associated with standard treatment (relative risk 0.83, 95% CI 0.80-0.87).
CONCLUSION: In this large multi-institutional cohort, approximately 47% of patients with stage IIIC and IV ovarian cancer did not receive standard treatment. Pretreatment patient characteristics such as race, insurance status, age, Charlson comorbidity score, and facility type were associated with nonstandard treatment.

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Year:  2012        PMID: 22183213     DOI: 10.1097/AOG.0b013e31823d4006

Source DB:  PubMed          Journal:  Obstet Gynecol        ISSN: 0029-7844            Impact factor:   7.661


  14 in total

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3.  Racial and socioeconomic disparities in adherence to preventive health services for ovarian cancer survivors.

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4.  Contribution of Geographic Location to Disparities in Ovarian Cancer Treatment.

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5.  Disparities in ovarian cancer care quality and survival according to race and socioeconomic status.

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6.  The effect of neighborhood-level socioeconomic status on racial differences in ovarian cancer treatment in a population-based analysis in Chicago.

Authors:  Charlotte E Joslin; Katherine C Brewer; Faith G Davis; Kent Hoskins; Caryn E Peterson; Heather A Pauls
Journal:  Gynecol Oncol       Date:  2014-08-28       Impact factor: 5.482

7.  Reasons for failure to deliver National Comprehensive Cancer Network (NCCN)-adherent care in the treatment of epithelial ovarian cancer at an NCCN cancer center.

Authors:  Britt K Erickson; Jovana Y Martin; Monjri M Shah; J Michael Straughn; Charles A Leath
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8.  Ovarian cancer in California: Guideline adherence, survival, and the impact of geographic location, 1996-2014.

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Review 9.  Global ovarian cancer health disparities.

Authors:  Ganna Chornokur; Ernest K Amankwah; Joellen M Schildkraut; Catherine M Phelan
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10.  Regional Disparities in Ovarian Cancer in the United States.

Authors:  Zhixin Wang; Sarah Dilley; HyounKyoung G Park; Alfred A Bartolucci; Chenguang Wang; Warner K Huh; Sejong Bae
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