Litcius/Paper detail

Boosting hospital falls prevention using health assistant staff alongside usual care

Claire Thwaites, Louise Shaw, Rosalie Lui, Debra Kiegaldie, Hazel Heng, Jonathan P McKercher, Daniele Volpe, Anne‐Marie Hill, M.J. Knight, Meg E. Morris

2024Patient Education and Counseling16 citationsDOIOpen Access PDF

Abstract

Patient education is crucial for preventing hospital falls, yet workforce constraints can hinder targeted delivery. Utilising supervised healthcare assistants can enhance standard care. This study sought to understand factors that impact the feasibility of supplementing usual care with patient falls education delivered by supervised allied health assistants. In a qualitative study nested within a randomised controlled trial, focus groups and interviews were conducted with twelve health assistants, seven allied health professionals and two managers from the participating hospital. This elicited insights on barriers and facilitators to implementing workforce redesign to deliver tailored patient falls education. An inductive approach was used to thematically analyse the data. Three key themes emerged: (i) it was feasible for health assistants to deliver hospital patient education; (ii) patients engaged with hospital falls prevention education delivered by assistants; (iii) hospital workforce redesign can be successfully implemented provided there is system-wide buy-in. Health assistants can be trained to successfully deliver hospital falls prevention education provided they have adequate supervision, training, and resources. Sustained implementation requires dedicated staffing hours for service delivery and staff education. • Healthcare assistants can effectively deliver patient falls education when trained, supervised, and resourced appropriately. • Patients engaged with hospital falls prevention education delivered by assistants. • Sustained implementation requires dedicated staffing hours for service delivery and staff education on evidence-based hospital falls prevention.

Topics & Concepts

Boosting (machine learning)Fall preventionHealth careNursing staffMedicineMEDLINENursingMedical emergencySuicide preventionPoison controlComputer scienceArtificial intelligencePolitical scienceEconomicsLawEconomic growthInterprofessional Education and CollaborationGeriatric Care and Nursing HomesHealthcare innovation and challenges