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1.
South Med J ; 111(6): 333-341, 2018 06.
Artigo em Inglês | MEDLINE | ID: mdl-29863220

RESUMO

OBJECTIVES: Adherence to National Comprehensive Cancer Network (NCCN) guidelines for ovarian cancer treatment improves patient outcomes. The aim of this study was to assess disparities associated with ovarian cancer treatment in the state of Kentucky and central Appalachia. METHODS: Data on patients diagnosed as having ovarian cancer from 2007 through 2011 were extracted from administrative claims-linked Kentucky Cancer Registry data. NCCN compliance was defined by stage, grade, surgical procedure, and chemotherapy. Selection criteria were reviewed carefully to ensure data quality and accuracy. Descriptive analysis, logistic regression, and Cox regression analyses were performed to examine factors associated with guidelines compliance and survival. RESULTS: Most women were aged 65 years or older (62.5%) and had high-grade (65.9%) and advanced-stage (61.0%) ovarian cancer. Two-thirds of cases (65.9%) received NCCN-recommended treatment for ovarian cancer. The hazard ratio of death for women who did not receive NCCN-compliant care was 62% higher compared with the women who did receive NCCN-compliant treatment. Results from the logistic regression showed that NCCN-compliant treatment was more likely for women aged 65 to 74 years compared with women aged 20 to 49 years, late-stage compared with early-stage cancers, receipt of care at tertiary care hospitals, and privately insured compared with Medicaid or Medicare. CONCLUSIONS: When the treatment of ovarian cancer did not follow NCCN recommendations, patients had a significantly higher risk of death. Women were less likely to receive NCCN-compliant care if they were younger (20-49 years), had early-stage disease, did not have private insurance, or had care provided at a nontertiary care hospital.


Assuntos
Fatores Etários , Fidelidade a Diretrizes/normas , Neoplasias Ovarianas/terapia , Adulto , Idoso , Região dos Apalaches/epidemiologia , Feminino , Fidelidade a Diretrizes/estatística & dados numéricos , Humanos , Kentucky/epidemiologia , Modelos Logísticos , Pessoa de Meia-Idade , Neoplasias Ovarianas/epidemiologia , Modelos de Riscos Proporcionais , Sistema de Registros/estatística & dados numéricos , Estudos Retrospectivos , Resultado do Tratamento
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