Citations

Introduction Socioeconomic disparities for breast cancer surgical care exist. Although the aetiology of the observed socioeconomic disparities is likely multifactorial, patient engagement during the surgical consult is critical. Shared decision-making may reduce health disparities by addressing barriers to patient engagement in decision-making that disproportionately impact socioeconomically disadvantaged patients. In this trial, we test the impact of a decision aid on increasing socioeconomically disadvantaged patients’ engagement in breast cancer surgery decision-making. Methods and analysis This multisite randomised trial is conducted through 10 surgical clinics within the National Cancer Institute Community Oncology Research Program (NCORP). We plan a stepped-wedge design with clinics randomised to the time of transition from usual care to the decision aid arm. Study participants are female patients, aged ≥18 years, with newly diagnosed stage 0–III breast cancer who are planning breast surgery. Data collection includes a baseline surgeon survey, baseline patient survey, audio-recording of the surgeon–patient consultation, a follow-up patient survey and medical record data review. Interviews and focus groups are conducted with a subset of patients, surgeons and clinic stakeholders. The effectiveness of the decision aid at increasing patient engagement (primary outcome) is evaluated using generalised linear mixed-effects models. The extent to which the effect of the decision aid intervention on patient engagement is mediated through the mitigation of barriers is tested in joint linear structural equation models. Qualitative interviews explore how barriers impact engagement, especially for socioeconomically disadvantaged women. Ethics and dissemination This protocol has been approved by the National Cancer Institute Central Institutional Review Board, and Certificate of Confidentiality has been obtained. We plan to disseminate the findings through journal publications and national meetings, including the NCORP network. Our findings will advance the science of medical decision-making with the potential to reduce socioeconomic health disparities. Trial registration number ClinicalTrials.gov Registry (NCT03766009).

AbstractThe poor generalizability of clinical research data due to the enrollment of highly educated, non‐Latinx White participants hampers the development of therapies for Alzheimer's disease (AD). Black and Latinx older adults have a greater risk for dementia, yet it is unclear how health‐care disparities and sociocultural factors influence potential AD therapies and prognosis. Low enrollment of under‐represented populations may be attributable to several factors including greater exclusion due to higher rates of comorbidities, lower access to AD clinics, and the legacy of unethical treatment in medical research. This perspective outlines solutions tested in the Brain Health Registry (BHR) and the Alzheimer's Disease Neuroimaging Initiative (ADNI), including culturally‐informed digital research methods, community‐engaged research strategies, leadership from under‐represented communities, and the reduction of exclusion criteria based on comorbidities. Our successes demonstrate that it is possible to increase the inclusion and engagement of under‐represented populations into US‐based clinical studies, thereby increasing the generalizability of their results.

Abstract The literature regarding the neuropathological findings in cases of SARS-CoV-2 infection, which causes coronavirus disease 2019 (COVID-19), is expanding. We identified 72 patients who died of COVID-19 (n = 48) or had recovered shortly before death (n = 24) and had autopsies performed at our institution (49 males, 23 females; median age at death 76.4 years, range: 0.0–95.0 years). Droplet digital polymerase chain reaction (ddPCR) for the detection of SARS-CoV-2 was performed (n = 58) in multiple brain regions. In cases the assay was successfully completed (n = 50), 98.0% were negative (n = 49) and 2% were indeterminate (n = 1). Most histologic findings were typical of the patient age demographic, such as neurodegenerative disease and arteriolosclerosis. A subset of cases demonstrated findings which may be associated with sequelae of critical illness. We identified 3 cases with destructive perivascular lesions with axonal injury, one of which also harbored perivascular demyelinating lesions. These rare cases may represent a parainfectious process versus sequelae of vascular injury. The lack of detectable SARS-CoV-2 by ddPCR or significant histologic evidence of direct infection suggests that active encephalitis is not a feature of COVID-19.