ArticleBMJ open2021
Ovarian Cancer Epidemiology, Healthcare Access and Disparities (ORCHiD): methodology for a population-based study of black, Hispanic and white patients with ovarian cancer.
Article in BMJ open, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed, 9 citations in OpenAlex.
- Access to Guideline-Concordant Oncology Genomic Testing: A Qualitative Study of Black Cancer Patients and Oncology Providers.Current oncology (Toronto, Ont.) · 2026Article
- Self-collected biospecimen consent and return rates in a population-based study among women with ovarian cancer: insights from the ORCHiD study.Cancer causes & control : CCC · 2026Article
- Untargeted metabolomics of cervicovaginal fluid in patients with ovarian cancer.Journal of clinical and translational science · 2026Article
- Vaginal Microbiome Composition, Diversity and Dysbiosis: The ORCHiD Study.Research square · 2025Article
- Frailty in patients with ovarian cancer and the role of healthcare access, race, and ethnicity.Gynecologic oncology · 2024Article
- Article
- Development and Psychometric Evaluation of Healthcare Access Measures among Women with Ovarian Cancer.Cancers · 2022Article
- Psychosocial Stress Exposures and Advanced Disease at Ovarian Cancer Diagnosis.Cancer control : journal of the Moffitt Cancer CenterObservational
Corrections and comments
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Authors and funding
18 authors at 7 institutions in 4 countries.
Funding
Abstract
introductionLess 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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Registered trials
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