The initial psychometric evaluation of a new Emergency Department Patient-Reported Experience Measure (ED PREM)

Patient-reported experience measures (PREMs) are critical to evaluating the person-centeredness, safety, and quality of healthcare services internationally. The aim of this study was to describe the initial psychometric evaluation of a new Emergency Department (ED) PREM. Adult patients presenting to the ED of a tertiary hospital in southeast Queensland, Australia during January 2022 were recruited in-person. Participants selected their preferred ED PREM mode of administration from online, telephone, or postal, and had 14 days from recruitment to complete the survey. Item reduction, structural validity, discriminant validity, and internal consistency reliability were assessed. A sample of 349 (68.4%) was achieved. Item reduction analysis indicated ceiling effects for all ED PREM items (ranging between 34.4-79.7%). Exploratory factor analysis revealed a 4-factor solution comprising 26-items that explained 55% of model variance. Cronbach’s α ranged between 0.84-0.97 per factor, demonstrating internal consistency reliability. Known groups analysis demonstrated the ED PREMs’ ability to discriminate experiences based on gender, age, and ED length of stay. The ED PREM is a valid and reliable instrument for capturing patient experiences in the ED. The content of the ED PREM emphasizes person-centeredness and shared decision making, making it suitable for use in clinical practice evaluation and health service performance measurement. The factor structure of the ED PREM should be confirmed in future research, and item redundancy addressed. Experience Framework This article is associated with the Policy & Measurement lens of The Beryl Institute Experience Framework (https://theberylinstitute.org/experience-framework/). Access other PXJ articles related to this lens. Access other resources related to this lens

Effect of Immediate Administration of Antibiotics in Patients With Sepsis in Tertiary Care:A Systematic Review and Meta-analysis

Purpose The goal of this review was to synthesize existing evidence regarding outcomes (mortality) for patients who present to the emergency department, are administered antibiotics immediately (within 1 hour) or later (>1 hour), and are diagnosed with sepsis. Methods A search of PubMed, EMBASE, Cochrane Central Register of Controlled Trials, and CINAHL, using the MeSH descriptors “sepsis,” “systemic inflammatory response syndrome,” “mortality,” “emergency,” and “antibiotics,” was performed to identify studies reporting time to antibiotic administration and mortality outcome in patients with sepsis. The included studies (published in English between 1990 and 2016) listed patient mortality based on time to antibiotic administration. Studies were evaluated for methodologic quality, and data were extracted by using a data extraction form tailored to this study. From an initial pool of 582 potentially relevant studies, 11 studies met our inclusion criteria, 10 of which had quantitative data for meta-analysis. Three different models (a random effects model, a bias-adjusted quality-effects [synthetic bias] model, and an inverse variance heterogeneity model) were used to perform the meta-analysis. Findings The pooled results suggest a significant 33% reduction in mortality odds for immediate (within 1 hour) compared with later (>1 hour) antibiotic administration (OR, 0.67 [95% CI, 0.59–0.75]) in patients with sepsis. Implications Immediate antibiotic administration (<1 hour) seemed to reduce patient mortality. There was some minor negative asymmetry suggesting that the evidence may be biased toward the direction of effect. Nevertheless, this study provides strong evidence for early, comprehensive, sepsis management in the emergency department

The epidemiology of dying within 48 hours of presentation to emergency departments: a retrospective cohort study of older people across Australia and New Zealand

BACKGROUND: Emergency department (ED) clinicians are more frequently providing care, including end-of-life care, to older people.OBJECTIVES: To estimate the need for ED end-of-life care for people aged ≥65 years, describe characteristics of those dying within 48 hours of ED presentation and compare those dying in ED with those dying elsewhere.METHODS: We conducted a retrospective cohort study analysing data from 177 hospitals in Australia and New Zealand. Data on older people presenting to ED from January to December 2018, and those who died within 48 hours of ED presentation, were analysed using simple descriptive statistics and univariate logistic regression.RESULTS: From participating hospitals in Australia or New Zealand, 10,921 deaths in older people occurred. The 48-hour mortality rate was 6.43 per 1,000 ED presentations (95% confidence interval: 6.31-6.56). Just over a quarter (n = 3,067, 28.1%) died in ED. About one-quarter of the cohort (n = 2,887, 26.4%) was triaged into less urgent triage categories. Factors with an increased risk of dying in ED included age 65-74 years, ambulance arrival, most urgent triage categories, principal diagnosis of circulatory system disorder, and not identifying as an Aboriginal or Torres Strait Islander person. Of the 7,677 older people admitted, half (n = 3,836, 50.0%) had an encounter for palliative care prior to, or during, this presentation.CONCLUSIONS: Our findings provide insight into the challenges of recognising the dying older patient and differentiating those appropriate for end-of-life care. We support recommendations for national advanced care planning registers and suggest a review of triage systems with an older person-focused lens.</p

Improved outcomes for emergency department patients whose ambulance off-stretcher time is not delayed

Abstract Objective To describe and compare characteristics and outcomes of patients who arrive by ambulance to the ED. We aimed to (i) compare patients with a delayed ambulance offload time (AOT) >30 min with those who were not delayed; and (ii) identify predictors of an ED length of stay (LOS) of >4 h for ambulance-arriving patients. Methods A retrospective, multi-site cohort study was undertaken in Australia using 12 months of linked health data (September 2007–2008). Outcomes of AOT delayed and non-delayed presentations were compared. Logistic regression analysis was undertaken to identify predictors of an ED LOS of >4 h. Results Of the 40 783 linked, analysable ambulance presentations, AOT delay of >30 min was experienced by 15%, and 63% had an ED LOS of >4 h. Patients with an AOT 4 h included: hospital admission, older age, triage category, and offload delay >30 min. Conclusion Patients arriving to the ED via ambulance and offloaded within 30 min experience better outcomes than those delayed. Given that offload delay is a modifiable predictor of an ED LOS of >4 h, targeted improvements in the ED arrival process for ambulance patients might be useful

Tertiary Survey Performance in a Regional Trauma Hospital Without a Dedicated Trauma Service

Background: Initial management of trauma patients is focused on identifying life- and limb-threatening injuries and may lead to missed injuries. A tertiary survey can minimise the number and effect of missed injuries and involves a physical re-examination and review of all investigations within 24 h of admission. There is little information on current practice of tertiary survey performance in hospitals without a dedicated trauma service. We aimed to determine the rate of tertiary survey performance and the detail of documentation as well as the baseline rate of missed injuries. Methods: We performed a retrospective, descriptive study of all multitrauma patients who presented to an Australian level II regional trauma centre without a dedicated trauma service between May 2008 and February 2009. A medical records review was conducted to determine tertiary survey performance and missed injury rate. Results: Of 252 included trauma patients, 20% (n = 51) had a tertiary survey performed. A total of nine missed injuries were detected in eight patients (3.2%). Of the multiple components of the tertiary survey, most were poorly documented. Documentation was more comprehensive in the subgroup of patients who did have a formal tertiary survey. Conclusions: Tertiary survey performance was poor, as indicated by low documentation rates. The baseline missed injury rate was comparable to previous that of retrospective studies, although in this study an underestimation of true missed injury rates is likely. Implementing a formal, institutional tertiary survey may lead to improved tertiary survey performance and documentation and therefore improved trauma care in hospitals without a dedicated trauma service

The implications of activity based funding for emergency departments: a comprehensive literature review : statewide workforce and activity-based funding modelling in Queensland Emergency Departments Project (SWAMPED)

Executive Summary Emergency Departments (EDs) locally, nationally and internationally are becoming increasingly busy. Within this context, it can be challenging to deliver a health service that is safe, of high quality and cost-effective. Whilst various models are described within the literature that aim to measure ED ‘work’ or ‘activity’, they are often not linked to a measure of costs to provide such activity. It is important for hospital and ED managers to understand and apply this link so that optimal staffing and financial resourcing can be justifiably sought. This research is timely given that Australia has moved towards a national Activity Based Funding (ABF) model for ED activity. ABF is believed to increase transparency of care and fairness (i.e. equal work receives equal pay). ABF involves a person-, performance- or activity-based payment system, and thus a move away from historical “block payment” models that do not incentivise efficiency and quality. The aim of the Statewide Workforce and Activity-Based Funding Modelling Project in Queensland Emergency Departments (SWAMPED) is to identify and describe best practice Emergency Department (ED) workforce models within the current context of ED funding that operates under an ABF model. The study is comprised of five distinct phases. This monograph (Phase 1) comprises a systematic review of the literature that was completed in June 2013. The remaining phases include a detailed survey of Queensland hospital EDs’ resource levels, activity and operational models of care, development of new resource models, development of a user-friendly modelling interface for ED mangers, and production of a final report that identifies policy implications. The anticipated deliverable outcome of this research is the development of an ABF based Emergency Workforce Modelling Tool that will enable ED managers to profile both their workforce and operational models of care. Additionally, the tool will assist with the ability to more accurately inform adequate staffing numbers required in the future, inform planning of expected expenditures and be used for standardisation and benchmarking across similar EDs. Summary of the Findings Within the remit of this review of the literature, the main findings include: 1. EDs are becoming busier and more congested Rising demand, barriers to ED throughput and transitions of care all contribute to ED congestion. In addition requests by organisational managers and the community require continued broadening of the scope of services required of the ED and further increases in demand. As the population live longer with more lifestyle diseases their propensity to require ED care continues to grow. 2. Various models of care within EDs exist Models often vary to account for site specific characteritics to suit staffing profile, ED geographical location (e.g. metropolitan or rural site), and patient demographic profile (e.g. paediatrics, older persons, ethnicity). Existing and new models implemented within EDs often depend on the target outcome requiring change. Generally this is focussed on addressing issues at the input, throughput or output areas of the ED. Even with models targeting similar demographic or illness, the structure and process elements underpinning the model can vary, which can impact on outcomes and variance to the patient and carer experience between and within EDs. Major models of care to manage throughput inefficiencies include: A. Workforce Models of Care focus on the appropriate level of staffing for a given workload to provide prompt, timely and clinically effective patient care within an emergency care setting. The studies reviewed suggest that the early involvement of senior medical decision maker and/or specialised nursing roles such as Emergency Nurse Practitioners and Clinical Initiatives Nurse, primary contact or extended scope Allied Health Practitioners can facilitate patient flow and improve key indicators such as length of stay and reducing the number of those who did not wait to be seen amongst others. B. Operational Models of Care within EDs focus on mechanisms for streaming (e.g. fast-tracking) or otherwise grouping patient care based on acuity and complexity to assist with minimising any throughput inefficiencies. While studies support the positive impact of these models in general, it appears that they are most effective when they are adequately resourced. 3. Various methods of measuring ED activity exist Measuring ED activity requires careful consideration of models of care and staffing profile. Measuring activity requires the ability to account for factors including: patient census, acuity, LOS, intensity of intervention, department skill-mix plus an adjustment for non-patient care time. 4. Gaps in the literature Continued ED growth calls for new and innovative care delivery models that are safe, clinically effective and cost effective. New roles and stand-alone service delivery models are often evaluated in isolation without considering the global and economic impact on staffing profiles. Whilst various models of accounting for and measuring health care activity exist, costing studies and cost effectiveness studies are lacking for EDs making accurate and reliable assessments of care models difficult. There is a necessity to further understand, refine and account for measures of ED complexity that define a workload upon which resources and appropriate staffing determinations can be made into the future. There is also a need for continued monitoring and comprehensive evaluation of newly implemented workforce modelling tools. This research acknowledges those gaps and aims to: • Undertake a comprehensive and integrated whole of department workforce profiling exercise relative to resources in the context of ABF. • Inform workforce requirements based on traditional quantitative markers (e.g. volume and acuity) combined with qualitative elements of ED models of care; • Develop a comprehensive and validated workforce calculation tool that can be used to better inform or at least guide workforce requirements in a more transparent manner

Improving emergency department throughput: an outcomes evaluation of two additional models of care

Objective: The aim of this study was to explore the impact of incorporating a physician at triage (PAT) and the implementation of a medical assessment unit (MAU) on emergency department (ED) patient throughput. Methods: A retrospective comparative analysis of two additional models of care (standard care, T1; PAT, T2 and PATplusMAU, T3) was undertaken. Patient presentations to a large public teaching hospital in South-East Queensland between 10th January 2013 and 25th February 2013, and the same time period in 2012, were included. The impact of these care models on ED length of stay and other outcomes (time to be seen by a clinician, time from bed request to ward transfer, meeting 4 hour transit targets, admission rates and the proportion of patients who did not wait) were compared. Results: Compared to standard care, ED length of stay appeared to decrease with the introduction of both models, but was only significantly decreased after PATplusMAU was implemented (2013; T1, 186 min; T2, 181 min; T3, 175 min: T1 vs T3, P < 0.001). Outcomes that improved included: time to be seen by a clinician, proportion of patients who did not wait; increase in meeting 4-hour length of stay target for both admitted and not-admitted patients. Conclusion: Placing a physician at triage and implementing a medical assessment unit were viable models of care that promoted patient flow and helped meet several time-sensitive health service targets