Outcomes and Data Collection
Cancer
CANCER
The primary end point was GOC documentation in the EHR during the index hospitalization for patients aged 65 years or older. We used ClinicalRegex, version 1.1.2 (Lindvall Lab, Dana-Farber Cancer Institute), a validated natural language processing (NLP) software for NLP-assisted human adjudication of GOC communication documented in the free text of clinical notes as our primary outcome, as previously reported.Patient-level demographic data were derived from the EHR, and patient-level race and ethnicity data were self-reported. Race and ethnicity categories included American Indian or Alaska Native, Asian, Black or African American, Hispanic or Latino, non-Hispanic or non-Latino, Native Hawaiian or Other Pacific Islander, White, and other (Guamanian or Chamorro, Middle Eastern, and other) or more than 1 race. Race and ethnicity were analyzed because the engagement in GOC conversations is not equally distributed among racial and ethnic minority groups, and our study sought to address that disparity. A full description of the data elements collected throughout the VIDEO-PCE trial has been published elsewhere.