Decision Tree Model for Predicting Hospice Palliative Care Use in Terminal Cancer Patients

ABSTRACT:

Purpose

This study attempted to develop clinical guidelines to help patients use hospice and palliative care (HPC) at an appropriate time after writing physician orders for life-sustaining treatment (POLST) by identifying the characteristics of HPC use of patients with terminal cancer.

Methods

This retrospective study was conducted to understand the characteristics of HPC use of patients with terminal cancer through decision tree analysis. The participants were 394 terminal cancer patients who were hospitalized at a cancer-specialized hospital in Seoul, South Korea and wrote POLST from January 1, 2019 to March 31, 2021.

Results

The predictive model for the characteristics of HPC use showed three main nodes (living together, pain control, and period to death after

SUBMITTER: Lee H 

PROVIDER: S-EPMC10180062 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature