Nutritional management adherence via an ePRO platform in patients with cancer: a machine learning model study.

ABSTRACT:

Background

Electronic patient-reported outcome (ePRO) systems have significant potential for providing individualized and continuous nutritional management for patients with cancer. However, adherence to ePRO-guided nutritional interventions varies significantly, and the key factors associated with adherence remain poorly understood. This study aimed to assess adherence to nutritional targets via ePRO platforms and identify predictors influencing adherence to optimize management strategies.

Methods

This multicenter, prospective longitudinal cohort study included 8268 patients with cancer from March 2021 to April 2024 (registration number: ChiCTR2100047535). Adherence was defined as the ratio of actual to prescribed intake for both total energy (TEI) and total protein (TPI).

SUBMITTER: Xie SW 

PROVIDER: S-EPMC12270700 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature