RESUMO
OBJECTIVE: Many factors influence patient flow through an ED, including streaming, treatment spaces and staff resources. This pilot study explored and compared real time patient flow using a single-stream system versus varying configurations of possible two-stream systems using computer simulation. METHODS: Simulation modelling was used to assess the delay in treatment of a rapid-antigen-tested-based, two-stream model for patient flow through ED during the peak phase of the COVID pandemic. RESULTS: Modelling two-stream configuration for all patients (minimum time to be seen for both COVID-positive and COVID-negative patients) showed that in the case study ED, a two-stream system and linked changes in bed configuration for managing the risks of infection can impact delays in treatment. CONCLUSIONS: Data-driven modelling within specific clinical settings can inform the (in)efficiency of patient flow processes and help clinicians and managers make evidence-based decisions about patient transition through EDs. This can assist with reconfiguration of ED patient streaming particularly during periods of unique need, such as the recent COVID-19 pandemic.
Assuntos
COVID-19 , Humanos , Projetos Piloto , Simulação por Computador , Pandemias , Serviço Hospitalar de EmergênciaRESUMO
INTRODUCTION: Occupational violence in emergency departments is prevalent and detrimental to staff and health services. There is an urgent call for solutions; accordingly, this study describes the implementation and early impacts of the digital Queensland Occupational Violence Patient Risk Assessment Tool (kwov-pro). METHODS: Since December 7, 2021, emergency nurses have been using the Queensland Occupational Violence Patient Risk Assessment Tool to assess 3 occupational violence risk factors in patients: aggression history, behaviors, and clinical presentation. Violence risk then is categorized as low (0 risk factors), moderate (1 risk factor), or high (2-3 risk factors). An important feature of this digital innovation is the alert and flagging system for high-risk patients. Underpinned by the Implementation Strategies for Evidence-Based Practice Guide, from November 2021 to March 2022 we progressively mobilized a range of strategies, including e-learning, implementation drivers, and regular communications. Early impacts measured were the percentage of nurses who completed their e-learning, the proportion of patients assessed using the Queensland Occupational Violence Patient Risk Assessment Tool, and the number of reported violent incidents in the emergency department. RESULTS: Overall, 149 of 195 (76%) of emergency nurses completed their e-learning. Further, adherence to Queensland Occupational Violence Patient Risk Assessment Tool was good, with 65% of patients assessed for risk of violence at least once. Since implementing the Queensland Occupational Violence Patient Risk Assessment Tool, there has been a progressive decrease in violent incidents reported in the emergency department. DISCUSSION: Using a combination of strategies, the Queensland Occupational Violence Patient Risk Assessment Tool was successfully implemented in the emergency department with the indication that it could reduce the number of incidents of occupational violence. The work herein provides a foundation for future translation and robust evaluation of the Queensland Occupational Violence Patient Risk Assessment Tool in emergency departments.