Ontology highlight
ABSTRACT: Background
Technology that detects early when a patient at risk of falling leaves the bed can support nurses in acute care hospitals.Objective
To develop a better understanding of nurses' perspectives and experiences with a bed-exit information system (BES) in an acute care hospital setting.Methods
BES was implemented on 3 wards of a university medical center. Nurses completed 2 online surveys at each time point (P0 and P1) and participated in focus groups before (P0) and after (P1) implementation. Additional patient data were collected. Descriptive statistics summarized the survey results, while content analysis was applied to focus group data. Patient rates and adverse events in both phases were compared using negative binomial models. Reporting of this study adhe
SUBMITTER: Walzer S
PROVIDER: S-EPMC11840387 | biostudies-literature | 2025 Feb
REPOSITORIES: biostudies-literature