Development of a keyword library for capturing PRO-CTCAE-focused "symptom talk" in oncology conversations.

ABSTRACT:

Objectives

As computational methods for detecting symptoms can help us better attend to patient suffering, the objectives of this study were to develop and evaluate the performance of a natural language processing keyword library for detecting symptom talk, and to describe symptom communication within our dataset to generate insights for future model building.

Materials and methods

This was a secondary analysis of 121 transcribed outpatient oncology conversations from the Communication in Oncologist-Patient Encounters trial. Through an iterative process of identifying symptom expressions via inductive and deductive techniques, we generated a library of keywords relevant to the Patient-Reported Outcome version of the Common Terminology Criteria for Adverse Events (PRO-CTCAE)

SUBMITTER: Durieux BN 

PROVIDER: S-EPMC9912707 | biostudies-literature | 2023 Apr

REPOSITORIES: biostudies-literature