The multinomial mixed-effect regression model for predicting PCOC phases in hospice patients.

ABSTRACT:

Purpose

The Palliative Care Outcomes Collaboration (PCOC) aims to enhance patient outcomes systematically. However, identifying crucial items and accurately determining PCOC phases remain challenging. This study aims to identify essential PCOC data items and construct a prediction model to accurately classify PCOC phases in terminal patients.

Methods

A retrospective cohort study assessed PCOC data items across four PCOC phases: stable, unstable, deteriorating, and terminal. From July 2020 to March 2023, terminal patients were enrolled. A multinomial mixed-effect regression model was used for the analysis of multivariate PCOC repeated measurement data.

Results

The dataset comprised 1933 terminally ill patients from 4 different hospice service settings. A total of 13,21

SUBMITTER: Liu IT 

PROVIDER: S-EPMC11369001 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature