Your browser doesn't support javascript.
loading
Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer.
Akinyemiju, Tomi; Deveaux, April; Wilson, Lauren; Gupta, Anjali; Joshi, Ashwini; Bevel, Malcolm; Omeogu, Chioma; Ohamadike, Onyinye; Huang, Bin; Pisu, Maria; Liang, Margaret; McFatrich, Molly; Daniell, Erin; Fish, Laura Jane; Ward, Kevin; Schymura, Maria; Berchuck, Andrew; Potosky, Arnold L.
Afiliación
  • Akinyemiju T; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA tomi.akinyemiju@duke.edu.
  • Deveaux A; Duke University School of Medicine, Duke Cancer Institute, Durham, North Carolina, USA.
  • Wilson L; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Gupta A; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Joshi A; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Bevel M; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Omeogu C; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Ohamadike O; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Huang B; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Pisu M; Department of Biostatistics and Kentucky Cancer Registry, University of Kentucky, Lexington, Kentucky, USA.
  • Liang M; Division of Preventive Medicine, The University of Alabama, Birmingham, Alabama, USA.
  • McFatrich M; Division of Preventive Medicine, The University of Alabama, Birmingham, Alabama, USA.
  • Daniell E; Division of Hematology and Supportive Care, University of Alabama, Birmingham, Alabama, USA.
  • Fish LJ; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Ward K; Department of Population Health Sciences, Duke University School of Medicine, Durham, North Carolina, USA.
  • Schymura M; Duke University School of Medicine, Duke Cancer Institute, Durham, North Carolina, USA.
  • Berchuck A; Georgia Cancer Registry, Emory University, Atlanta, Georgia, USA.
  • Potosky AL; New York State Cancer Registry, New York State Department of Health, Albany, New York, USA.
BMJ Open ; 11(10): e052808, 2021 10 04.
Article en En | MEDLINE | ID: mdl-34607872
INTRODUCTION: Less than 40% of patients with ovarian cancer (OC) in the USA receive stage-appropriate guideline-adherent surgery and chemotherapy. Black patients with cancer report greater depression, pain and fatigue than white patients. Lack of access to healthcare likely contributes to low treatment rates and racial differences in outcomes. The Ovarian Cancer Epidemiology, Healthcare Access and Disparities study aims to characterise healthcare access (HCA) across five specific dimensions-Availability, Affordability, Accessibility, Accommodation and Acceptability-among black, Hispanic and white patients with OC, evaluate the impact of HCA on quality of treatment, supportive care and survival, and explore biological mechanisms that may contribute to OC disparities. METHODS AND ANALYSIS: We will use the Surveillance Epidemiology and Ends Results dataset linked with Medicare claims data from 9744 patients with OC ages 65 years and older. We will recruit 1641 patients with OC (413 black, 299 Hispanic and 929 white) from cancer registries in nine US states. We will examine HCA dimensions in relation to three main outcomes: (1) receipt of quality, guideline adherent initial treatment and supportive care, (2) quality of life based on patient-reported outcomes and (3) survival. We will obtain saliva and vaginal microbiome samples to examine prognostic biomarkers. We will use hierarchical regression models to estimate the impact of HCA dimensions across patient, neighbourhood, provider and hospital levels, with random effects to account for clustering. Multilevel structural equation models will estimate the total, direct and indirect effects of race on treatment mediated through HCA dimensions. ETHICS AND DISSEMINATION: Result dissemination will occur through presentations at national meetings and in collaboration with collaborators, community partners and colleagues across othercancer centres. We will disclose findings to key stakeholders, including scientists, providers and community members. This study has been approved by the Duke Institutional Review Board (Pro00101872). Safety considerations include protection of patient privacy. All disseminated data will be deidentified and summarised.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Calidad de Vida Tipo de estudio: Guideline / Prognostic_studies / Screening_studies Aspecto: Ethics / Patient_preference Límite: Aged / Female / Humans País/Región como asunto: America do norte Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias Ováricas / Calidad de Vida Tipo de estudio: Guideline / Prognostic_studies / Screening_studies Aspecto: Ethics / Patient_preference Límite: Aged / Female / Humans País/Región como asunto: America do norte Idioma: En Revista: BMJ Open Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: Reino Unido