Ontology highlight
ABSTRACT: Aim
To evaluate a web-based tool for estimating and explaining three scenarios for expected survival time to people with advanced cancer (patients), their family members (FMs), and other healthcare professionals (HCPs).Methods
Thirty-three oncologists estimated the "median survival of a group of similar patients" for patients seeking quantitative prognostic information. The web-based tool generated worst-case, most likely, and best-case scenarios for survival based on the oncologist's estimate. Oncologists presented the scenarios to each patient and provided a printed summary to patients, FMs, and HCPs. Attitudes to the information were assessed by questionnaires. Observed survival for each patient was compared with the oncologist's estimated survival and the three scenario
SUBMITTER: Nahm SH
PROVIDER: S-EPMC9385826 | biostudies-literature | 2022 Sep
REPOSITORIES: biostudies-literature