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Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer

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 treatm...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491419/
https://www.ncbi.nlm.nih.gov/pubmed/34607872
http://dx.doi.org/10.1136/bmjopen-2021-052808
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author 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
author_facet 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
author_sort Akinyemiju, Tomi
collection PubMed
description 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.
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spelling pubmed-84914192021-10-14 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 BMJ Open Obstetrics and Gynaecology 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. BMJ Publishing Group 2021-10-04 /pmc/articles/PMC8491419/ /pubmed/34607872 http://dx.doi.org/10.1136/bmjopen-2021-052808 Text en © Author(s) (or their employer(s)) 2021. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Obstetrics and Gynaecology
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
Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title_full Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title_fullStr Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title_full_unstemmed Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title_short Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer
title_sort ovarian cancer epidemiology, healthcare access and disparities (orchid): methodology for a population-based study of black, hispanic and white patients with ovarian cancer
topic Obstetrics and Gynaecology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8491419/
https://www.ncbi.nlm.nih.gov/pubmed/34607872
http://dx.doi.org/10.1136/bmjopen-2021-052808
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