Factor Analysis of Health Care Access With Ovarian Cancer Surgery and Gynecologic Oncologist Consultation.
Factor Analysis of Health Care Access With Ovarian Cancer Surgery and Gynecologic Oncologist Consultation.
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DOI:
10.1001/jamanetworkopen.2022.54595
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发表时间:
2023-02-01
影响因子:
13.8
通讯作者:
Akinyemiju TF
中科院分区:
文献类型:
--
作者:
Gupta A;Chen Q;Wilson LE;Huang B;Pisu M;Liang M;Previs RA;Moss HA;Ward KC;Schymura MJ;Berchuck A;Akinyemiju TF
Are health care affordability, availability, and accessibility associated with racial and ethnic disparities in consulting a gynecologic oncologist and receiving surgery for ovarian cancer? In this cohort study of 8987 patients, health care availability and affordability scores were associated with gynecologic oncologist consultation, while affordability scores were associated with surgery receipt. However, non-Hispanic Black patients were less likely than non-Hispanic White patients to consult a gynecologic oncologist and have surgery even after adjusting for these health care access factors. These findings suggest that affordability and availability were significantly associated with indicators of guideline-adherent care but did not fully explain disparities. This cohort study assesses health care affordability, availability, and accessibility along with race and ethnicity in association with receipt of guideline-adherent care for ovarian cancer. Poor health care access (HCA) is associated with racial and ethnic disparities in ovarian cancer (OC) survival. To generate composite scores representing health care affordability, availability, and accessibility via factor analysis and to evaluate the association between each score and key indicators of guideline-adherent care. This retrospective cohort study used data from patients with OC diagnosed between 2008 and 2015 in the Surveillance, Epidemiology, and End Results (SEER) Medicare database. The SEER Medicare database uses cancer registry data and linked Medicare claims from 12 US states. Included patients were Hispanic, non-Hispanic Black, and non-Hispanic White individuals aged 65 years or older diagnosed from 2008 to 2015 with first or second primary OC of any histologic type (International Classification of Diseases for Oncology, 3rd Edition [ICD-O-3] code C569). Data were analyzed from June 2020 to June 2022. The SEER-Medicare data set was linked with publicly available data sets to obtain 35 variables representing health care affordability, availability, and accessibility. A composite score was created for each dimension using confirmatory factor analysis followed by a promax (oblique) rotation on multiple component variables. The main outcomes were consultation with a gynecologic oncologist for OC and receipt of OC-related surgery in the 2 months prior to or 6 months after diagnosis. The cohort included 8987 patients, with a mean (SD) age of 76.8 (7.3) years and 612 Black patients (6.8%), 553 Hispanic patients (6.2%), and 7822 White patients (87.0%). Black patients (adjusted odds ratio [aOR], 0.75; 95% CI, 0.62-0.91) and Hispanic patients (aOR, 0.81; 95% CI, 0.67-0.99) were less likely to consult a gynecologic oncologist compared with White patients, and Black patients were less likely to receive surgery after adjusting for demographic and clinical characteristics (aOR, 0.76; 95% CI, 0.62-0.94). HCA availability and affordability were each associated with gynecologic oncologist consultation (availability: aOR, 1.16; 95% CI, 1.09-1.24; affordability: aOR, 1.13; 95% CI, 1.07-1.20), while affordability was associated with receipt of OC surgery (aOR, 1.08; 95% CI, 1.01-1.15). In models mutually adjusted for availability, affordability, and accessibility, Black patients remained less likely to consult a gynecologic oncologist (aOR, 0.80; 95% CI, 0.66-0.97) and receive surgery (aOR, 0.80; 95% CI, 0.65-0.99). In this cohort study of Hispanic, non-Hispanic Black, and non-Hispanic White patients with OC, HCA affordability and availability were significantly associated with receiving surgery and consulting a gynecologic oncologist. However, these dimensions did not fully explain racial and ethnic disparities.
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