Ontology highlight
ABSTRACT: Context
Limited data exist regarding how depression diagnosed at different times relative to a cancer diagnosis may affect healthcare utilization at end of life (EOL).Objectives
To assess the relationship between depression and health care utilization at EOL among older adults (ages >=67) diagnosed with advanced non-small cell lung cancer (NSCLC) from 2009 to 2011.Methods
Using the SEER-Medicare database, we fit multivariable logistic regression models to explore the association of depression with duration of hospice stay plus high-intensity care, for example inpatient admissions, in-hospital death, emergency department visits, and chemotherapy at EOL. We used a regression model to evaluate hospice enrollment, accounting for the competing risk of death.Results</
SUBMITTER: McDermott CL
PROVIDER: S-EPMC6226016 | biostudies-literature | 2018 Nov
REPOSITORIES: biostudies-literature