The hidden dangers in routine medical complaints: uncovering patient harm.

ABSTRACT:

Background

Patient harm incidents (PHI) significantly impact healthcare quality and outcomes. Despite technological advances, predicting and managing these incidents remains challenging. This study aims to develop a predictive model to distinguish the genuine PHI from medical complaints and non-harmful events.

Methods

A retrospective study was conducted using data collected from January 2014 to December 2023, encompassing patient interactions, treatments, and complaints in the authors' institution. Variables considered included demographic details, clinical factors, and complaint characteristics. The predictive model was developed using least absolute shrinkage and selection operator (LASSO) regression and validated via a split-sample method. Model performance was evaluated

SUBMITTER: Luo S 

PROVIDER: S-EPMC12272998 | biostudies-literature | 2025 Jul

REPOSITORIES: biostudies-literature