Implementation of a structured emergency nursing framework results in significant cost benefit

Emergency nurses' perceptions of the utility, adaptability and feasibility of the emergency nursing framework HIRAIDTM for practice change in US: An exploratory study

BACKGROUND

Patient assessment is a core component of nursing practice and underpins safe, high-quality patient care. HIRAIDTM, an evidence-informed emergency nursing framework, provides nurses with a structured approach to patient assessment and management post triage. In Australia, HIRAIDTM resulted in significant improvements to nurse-led communication and reduced adverse patient events.

OBJECTIVES

First, to explore United States (US) emergency nurses' perceptions of the evidence-informed emergency nursing framework, HIRAIDTM; second, to determine factors that would influence the feasibility and adaptability of HIRAIDTM into nursing clinical practice in EDs within the US.

METHODS

A cross-sectional cohort study using a survey method with a convenience sample was conducted. A 4-hour workshop introduced the HIRAIDTM framework and supporting evidence at the Emergency Nurses Association's (ENA) conference, Emergency Nursing 2022. Surveys were tested for face validity and collected information on nurse-nurse communication, self-efficacy, the practice environment and feedback on the HIRAIDTM framework.

RESULTS

The workshop was attended by 48 emergency nurses from 17 US States and four countries. Most respondents reported that all emergency nurses should use the same standardised approach in the assessment of patients. However, the greatest barriers to change were a lack of staff and support from management. The most likely interventions reported to enable change were face-to-face education, the opportunity to ask questions and support in the clinical environment.

CONCLUSION

HIRAIDTM is an acceptable and suitable emergency nursing framework for consideration in the US. Successful uptake will depend on training methods and organizational support. HIRAIDTM training should incorporate face-to-face interactive workshops.

Implementation evaluation of an evidence-based emergency nursing framework (HIRAID): study protocol for a step-wedge randomised control trial

INTRODUCTION

Poor patient assessment results in undetected clinical deterioration. Yet, there is no standardised assessment framework for >29 000 Australian emergency nurses. To reduce clinical variation and increase safety and quality of initial emergency nursing care, the evidence-based emergency nursing framework HIRAID (History, Identify Red flags, Assessment, Interventions, Diagnostics, communication and reassessment) was developed and piloted. This paper presents the rationale and protocol for a multicentre clinical trial of HIRAID.

METHODS AND ANALYSIS

Using an effectiveness-implementation hybrid design, the study incorporates a stepped-wedge cluster randomised controlled trial of HIRAID at 31 emergency departments (EDs) in New South Wales, Victoria and Queensland. The primary outcomes are incidence of inpatient deterioration related to ED care, time to analgesia, patient satisfaction and medical satisfaction with nursing clinical handover (effectiveness). Strategies that optimise HIRAID uptake (implementation) and implementation fidelity will be determined to assess if HIRAID was implemented as intended at all sites.

ETHICS AND DISSEMINATION

Ethics has been approved for NSW sites through Greater Western Human Research Ethics Committee (2020/ETH02164), and for Victoria and Queensland sites through Royal Brisbane & Woman's Hospital Human Research Ethics Committee (2021/QRBW/80026). The final phase of the study will integrate the findings in a toolkit for national rollout. A dissemination, communications (variety of platforms) and upscaling strategy will be designed and actioned with the organisations that influence state and national level health policy and emergency nurse education, including the Australian Commission for Quality and Safety in Health Care. Scaling up of findings could be achieved by embedding HIRAID into national transition to nursing programmes, 'business as usual' ED training schedules and university curricula.

TRIAL REGISTRATION NUMBER

ACTRN12621001456842.

Development and Validation of the Medical Emergency Team-Risk Prediction Model for Clinical Deterioration in Acute Hospital Patients, at Time of an Emergency Admission

OBJECTIVES

To develop and validate a prediction model to estimate the risk of Medical Emergency Team (MET) review, within 48 hours of an emergency admission, using information routinely available at the time of hospital admission.

DESIGN

Development and validation of a multivariable risk model using prospectively collected data. Transparent Reporting of a multivariable model for Individual Prognosis Or Diagnosis recommendations were followed to develop and report the prediction model.

SETTING

A 560-bed teaching hospital, with a 22-bed ICU and 24-hour Emergency Department in Melbourne, Australia.

PATIENTS

A total of 45,170 emergency admissions of 30,064 adult patients (≥18 yr), with an inpatient length of stay greater than 24 hours, admitted under acute medical or surgical hospital services between 2015 and 2017.

MEASUREMENTS AND MAIN RESULTS

The outcome was MET review within 48 hours of emergency admission. Thirty candidate variables were selected from a routinely collected hospital dataset based on their availability to clinicians at the time of admission. The final model included nine variables: age; comorbid alcohol-related behavioral diagnosis; history of heart failure, chronic obstructive pulmonary disease (COPD), or renal disease; admitted from residential care; Charlson Comorbidity Index score 1 or 2, or 3+; at least one planned and one emergency admission in the last year; and admission diagnosis and one interaction (past history of COPD × admission diagnosis). The discrimination of the model was comparable in the training (C-statistics 0.82; 95% CI, 0.81-0.83) and the validation set (0.81; 0.80-0.83). Calibration was reasonable for training and validation sets.

CONCLUSIONS

Using only nine predictor variables available to clinicians at the time of admission, the MET-risk model can predict the risk of MET review during the first 48 hours of an emergency admission. Model utility in improving patient outcomes requires further investigation.