Ontology highlight
ABSTRACT: Background
Falls in hospitalized patients are a serious problem, resulting in physical injury, secondary complications, impaired activities of daily living, prolonged hospital stays, and increased medical costs. Establishing a fall prediction scoring system to identify patients most likely to fall can help prevent falls among hospitalized patients.objectives
This study aimed to identify predictive factors of falls in acute care hospital patients, develop a scoring system, and evaluate its validity.Methods
This single-center, retrospective cohort study involved patients aged 20 years or older admitted to Shizuoka General Hospital between April 2019 and September 2020. Demographic data, candidate predictors at admission, and fall occurrence reports were collected from
SUBMITTER: Saito C
PROVIDER: S-EPMC11897365 | biostudies-literature | 2025 Jan
REPOSITORIES: biostudies-literature