RESUMO
INTRODUCTION: Breast reconstruction plays an important role for many in restoring form and function of the breast after mastectomy. However, rates of breast reconstruction in the USA vary significantly by race, ethnicity and socioeconomic status. The lower rates of breast reconstruction in non-white women and in women of lower socioeconomic status may reflect a complex interplay between patient and physician factors and access to care. It remains unknown what community-specific barriers may be impacting receipt of breast reconstruction. METHODS AND ANALYSIS: This is a mixed-methods study combining qualitative patient interview data with quantitative practice patterns to develop an actionable plan to address disparities in breast reconstruction in the local community. The primary aims are to (1) capture barriers to breast reconstruction for patients in the local community, (2) quantitatively evaluate practice patterns at the host institution and (3) identify issues and prioritise interventions for change using community-based engagement. ETHICS AND DISSEMINATION: Ethics approval was obtained at the investigators' institution. Results from both the quantitative and qualitative portions of the study will be circulated via peer-review publication. These findings will also serve as pilot data for extramural funding to implement and evaluate these proposed solutions.
Assuntos
Neoplasias da Mama , Mamoplastia , Humanos , Feminino , Mastectomia , Neoplasias da Mama/cirurgia , Mama/cirurgia , Pesquisa QualitativaRESUMO
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.