Mapping workforce configuration and operational models in Australian emergency departments: a national survey
Glenn Gardner A H , Anne Gardner B , Sandy Middleton C , Julie Considine D , Gerard Fitzgerald E , Luke Christofis F , Anna Doubrovsky A , Margaret Adams A and Jane O’Connell GA School of Nursing, Institute of Health and Biomedical Innovation, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Qld 4059, Australia. Email: anna.doubrovsky@qut.edu.au; m5.adams@qut.edu.au
B School of Nursing, Midwifery and Paramedicine, Australian Catholic University, PO Box 256, Dickson, ACT 2602, Australia. Email: anne.gardner@acu.edu.au
C Nursing Research Institute, St Vincent’s Health Australia (Sydney) and Australian Catholic University, Level 5, DeLacey Building, St Vincent’s Hospital, Darlinghurst, NSW 2010, Australia. Email: Sandy.Middleton@acu.edu.au
D School of Nursing and Midwifery, Deakin University, 1 Gheringhap Street, Geelong, Vic. 3220, Australia. Email: julie.considine@deakin.edu.au
E School of Public Health and Social Work, Queensland University of Technology, Victoria Park Road, Kelvin Grove, Qld 4059, Australia. Email: gj.fitzgerald@qut.edu.au
F Emergency Department, Lyell McEwin Hospital, Oldham Rd, Elizabeth Vale, SA 5112, Australia. Email: Luke.Christofis@health.sa.gov.au
G School of Nursing, University of Technology Broadway, 15 Broadway, Ultimo, Sydney, NSW 2007, Australia. Email: Jane.OConnell@uts.edu.au
H Corresponding author. Email: ge.gardner@qut.edu.au
Australian Health Review 42(3) 340-347 https://doi.org/10.1071/AH16231
Submitted: 19 October 2016 Accepted: 14 March 2017 Published: 18 May 2017
Journal compilation © AHHA 2018 Open Access CC BY-NC-ND
Abstract
Objective Hospital emergency departments (ED) in Australia and internationally have been experiencing increased demand, resulting in reduced hospital quality, impaired access and adverse health outcomes. Effective evaluation of new ED service models and their effect on outcomes is reliant on baseline measures of the staffing configuration and organisational characteristics of the EDs being studied. The aim of the present study was to comprehensively measure these variables in Australian EDs.
Methods Australian hospital EDs with 24-h medical and nursing cover were identified and invited to participate in the study. Telephone interviews were conducted with nursing or medical department managers to collect data related to hospital characteristics, ED workforce and training and ED service and operational models.
Results Surveys were completed in 87% of the population sample (n = 135). Metropolitan EDs were significantly more likely to retain higher full-time equivalents (FTEs) in several medical (staff specialist, registrar, resident and intern) and nursing (nurse practitioner (NP), nurse educator, nurse unit manager and registered nurse) positions. NPs were employed by 52% of Australian EDs overall, but this ranged from 40% to 75% depending on jurisdiction. The most commonly used operational models were FastTrack teams (72% of EDs), short-stay/observational unit (59%) and patient liaison models for aged care (84%) and mental health (61%). EDs that employed NPs were significantly more likely to use FastTrack (P = 0.002). Allied health services most frequently available within these EDs were radiology (60%), social work (69%), physiotherapy (70%) and pharmacy (65%).
Conclusions The present study has established a baseline measure of the staffing configuration and organisational characteristics of Australian EDs.
What is known about the topic? EDs are overcrowded due, in part, to the combined effect of increased service demand and access block. Innovative service and workforce models have been implemented by health departments aiming to improve service and performance. National uptake of these service and workforce innovations is unknown.
What does this paper add? The present study is the most comprehensive to date profiling Australian EDs covering hospital characteristics, workforce configuration, operational models and NP service patterns and practice.
What are the implications for practitioners? Information from the present study will assist health service planners to evaluate workforce and service reform models, and to monitor trends in emergency service development.
Additional keyword: models of care.
Introduction
Hospital emergency departments (EDs) are a high-profile sector of the health service industry and provide real-time specialist health care for patient presentations that cover the continuum of clinical urgency and severity of illness and injury.1 The key functions of emergency services are to evaluate, treat and discharge or admit patients according to need.2 Emergency clinical staff must accept, treat and manage all patients of all ages presenting for care. They must deal with increasing numbers of patients with psychological presentations and those with symptoms and conditions suited for management in the primary care context, such as respiratory infections and minor injuries.3 In Australia, demand for ED care has increased by an average of 3% per annum over the past decade.1 Furthermore, EDs around the world are facing congestion pressures from factors such as chronic disease in the community, reduced access to primary community care, growing demand, health workforce shortages and restrictions on public finances.2,4–6
Hospital-wide factors, such as the shortages of in-patient beds, also increase ED congestion;7 occupancy rates in most hospitals are greater than the 85% maximum level for efficiency.6 The consequences of congestion in the ED have been reported as: (1) reduced quality of hospital service, such as deteriorating performance standards, increased waiting time, access block, transport delays and treatment delays; (2) impaired access, such as ambulance diversion and patient elopement; (3) provider losses; and (4) adverse health outcomes, such as increased mortality and morbidity.2,5,8,9
In response to these increased demands on Australian EDs, the Australian Health Workforce Advisory Committee4 investigated and reported on ED models of care and health workforce planning. A key feature of their report was the consistent reference to two specific approaches to addressing the service issues in EDs: (1) the need for workforce reform; and (2) innovative service models. Various innovative models of care have been implemented in EDs in an attempt to improve service and reduce congestion. Examples of these models include FastTrack areas for patients with minor injuries, observation units, rapid assessment teams, allied health models and nurse practitioner (NP) services.2
Although there are reports in the literature of the evaluation of the effectiveness of some of these models,10,11 there is scant evidence to inform ongoing service planning. Furthermore, there is no published work on the uptake of these models, nor is there widely available information on current workforce profiles in EDs.
To date, reports examining service profiles of EDs in Australia have included state-wide assessments,12 committee deliberations,4 studies focused on a single clinical discipline3,13,14 and a study of hospitals that were accredited for training emergency specialists.15 There is a gap in the literature of current national-level research that examines the service and workforce characteristics of all Australian EDs.
The aim of the present study was to comprehensively measure the workforce profile and organisational characteristics of Australian EDs across all states. This information will inform health service planning, policy on workforce reform and contribute evidence to improved community service in emergency care. It will also advance our understanding of the relative contribution and structure of health service teams in responding to 21st century healthcare demands.
Methods
A national telephone survey of eligible Australian EDs was conducted from April 2013 to March 2014.
Study population
The study population included all Australian public hospital EDs that provide 24-h medical and nursing staff cover and report ED episode data to the Australian Institute of Health and Welfare (AIHW). Hospital EDs that report data to the AIHW were identified from the MyHospitals website (http://www.myhospitals.gov.au/, accessed 18 October 2016). The provision of 24-h clinical staff cover was confirmed through telephone calls to all sites. In all, 155 ED sites were identified across Australia as meeting the inclusion criteria.
Survey tool development
The purpose of the survey was to obtain descriptive information about Australian EDs and their operational characteristics. The tool was developed from several sources and contained four parts. Part A related to ED and hospital characteristics, Part B related to workforce configuration and training, Part C collected data on ED service and operational models and Part D collected information related to NPs and their service patterns. In Part D, responses to Item 11 (Limitations to Practice) were measured using a Likert scale with options from 1 (not at all limiting) to 5 (extremely limiting). An initial scoping Internet survey was conducted through the Australian College of Nurse Practitioners to establish characteristics of the NP workforce in Australian EDs. Fifty ED nurse practitioners responded (79% response rate) and the findings informed, in part, construction of Part D of the survey tool. The multidisciplinary investigator team made minor adjustments to ensure national relevance of the tool. The final version was pilot tested in three states to ensure its national validity.
Data collection
The instrument was administered through a telephone survey to optimise completion of all fields and to ensure accuracy of information. The ED nurse unit manager was identified as the interviewee for all sites and most interviews were conducted with these managers or the title equivalent. If during the interview the interviewee was uncertain or lacking information, a follow-up call was organised to complete the data collection at that site.
Nurse unit managers were sent a package via email containing an introductory letter explaining the study, participant information documents and the survey tool. The interviewees were contacted by telephone to ascertain their interest in participating in the study and an interview time was mutually agreed. The interviewees were advised to collect information from medical staff regarding medical staffing characteristics and NP staff for parameters of practice information before the telephone survey interview. At most sites the NP participated in, or clarified information for, Part D of the survey. For those sites where multiple NPs were employed, Part D was completed for each NP at that site. It was not possible to obtain this level of information from other clinicians.
Data analysis
Survey data were analysed using SPSS version 22 (IBM Corp., Armonk, NY, USA). More than 90% of questionnaires were complete across all sections. Missing data were primarily related to medical staffing information and for those variables with missing data, proportions and means were calculated over the remaining dataset. Data from the present study are descriptive and thus were analysed using proportions and mean averages where appropriate. Pearson Chi-squared test was used to compare group difference for categorical variables. Student’s t-test was used to test continuous variables. Differences between groups were considered statistically significant if P < 0.05 (two-tailed).
Ethics approval
The present study was approved by human research ethics committees (HRECs) from the participating universities and state health authorities for health facility approval. Overall, ethics approval for the present study was obtained from 20 ethics committees. Furthermore, four data requests, four administrative reviews, 16 low and negligible risk applications and 78 site-specific governance applications were approved from individual or divisional health facility settings. The participants were informed of the research procedures and agreement to make an appointment for the telephone survey was taken to indicate consent to participate.
Results
Surveys were successfully completed for 135 of the 143 eligible Australian hospital ED where HREC approval was provided, achieving a response rate of 94%. From the population of 155 eligible sites, human research ethics approval could not be obtained for 12 sites within the specific time frame for the project deadline and eight sites declined to be interviewed.
The hospital characteristics of the study sites are summarised in Table 1. Study sites were located in all but one Australian jurisdiction. We were unable to gain HREC approval for Northern Territory sites.
ED workforce configuration and training
Nursing
All surveyed EDs employed registered nurses and most employed nurse unit managers. A high proportion of study sites also employed nurse educators (78%; n = 105) and enrolled nurses (77%; n = 104). NPs were employed in 52% (n = 71) of Australian EDs, with 9% (n = 12) of the sample holding unfilled NP positions. Clinical nurse consultants, specialist nurses and assistant, associate or clinical nurse unit managers were employed in one-third of EDs (Table 2). The average full-time equivalents (FTEs) for EDs that employed these positions are also given in Table 2.
Nursing positions and average FTE were affected by state and geographical boundaries and were observed for NPs, clinical nurse consultants, nurse specialists and associate nurse unit managers. The proportion of EDs that employed nurse practitioners varied across the country. Most EDs in Western Australia (75%; n = 8) and Queensland (67%; n = 6) employed NPs, compared with only 40% (n = 12) of Victorian EDs. Clinical nurse consultants were employed in approximately 33% (n = 45) of EDs, with low proportions reported in Victoria (3%; n = 1) and Western Australia (27%; n = 3).
Although regional and rural EDs employed nurses in similar positions compared with metropolitan areas, their FTEs were significantly lower, in particular for NPs (1.62 FTE in rural and regional EDs vs 2.38 FTE in metropolitan EDs; Student’s t-test, t = 2.483, P = 0.015), nurse educators (0.93 vs 1.41; t = 3.92, P < 0.001), nurse unit managers (0.99 vs 1.08; t = 2.47, P = 0.015) and registered nurses (36.49 vs 61.30; t = 5.42, P < 0.001).
Medical
Information on medical positions in Australian EDs is given in Table 2. Most EDs (93%; n = 126) employed a medical director, whereas 80% of EDs (n = 108) employed Australian College of Emergency Medicine (ACEM)-trained staff specialists with an average of 8 FTEs. Other medical staff were employed in over 40% of sites (n = 56) at an FTE of 3.7. These included visiting medical officers and general practitioner consultants. Over three-quarters of EDs employed registrars with an average FTE of 8.6 for ACEM-trainee registrars. Metropolitan EDs were more likely to employ registrars than regional or rural EDs (χ2 = 23.4, P < 0.001).
Allied health professions
Allied health services are available in many Australian EDs, and allied health professionals were either directly employed, shared between other departments within the hospital or requested by on-call services. In this survey allied health services were considered not to be available when patients were referred to external providers. The most common services available were radiology, social work, physiotherapy and pharmacy. EDs often also had access to occupational therapy, dietetics and speech pathology, as summarised in Table 2.
Availability of allied health services varied by state, with better access to services in Tasmanian, Victorian and Western Australian EDs, where more than 50% of hospitals (n = 23/45) had access to all seven listed allied health professions. Allied health service availability was similar for EDs across metropolitan and regional or rural locations.
Training
All participating EDs provided professional training and clinical placements. Thirty per cent of EDs (n = 40) had NP students and 78% of EDs (n = 106) had other postgraduate nursing students. Fellows of the Australian College of Emergency Medicine (FACEM) registrars were trained in 40.7% of EDs (n = 55) surveyed (Table 2). Clinical placements for undergraduate or preservice students were provided for nursing (100% of EDs;n = 135), medicine (95% of EDs;n = 128) and allied health (35% of EDs;n = 47).
ED service and operational models
Data were obtained on ED service and operational models across all participating sites (Fig. 1). FastTrack (72%; n = 97) and rapid assessment teams (44%; n = 59) were the most commonly used patient streaming models. Hospitals that employed NPs were also more likely to adopt the FastTrack service model (χ2 = 10.34, P = 0.002). Short-stay and observation units were available in 59% (n = 79) of Australian EDs.
Aged care and psychiatric liaison models were found in 61% (n = 82) and 84% (n = 113) of EDs respectively. Other ED liaison models reported include drug and alcohol, indigenous, Hospital in the Home, paediatrics, refugee, Hospital Admission Risk Program and Community Hospital Interface programs.
Emergency NP service patterns and parameters of practice
Information on the work patterns of 159 NPs who were employed in 71 hospital EDs was collected. One-third (37%) of these NPs managed patients from all Australasian Triage Scale (ATS; http://www.cena.org.au/wp-content/uploads/2014/10/2012_06_14_CENA_-_Position_Statement_Triage.pdf, accessed April 2017) Categories 1–5. Conversely, 33% of ED NPs were limited to managing patients in ATS Categories 3–5, with a further 6% (n = 9) restricted to managing ATS Categories 4–5. Western Australia, South Australia and Victoria emergency NPs were more likely to be working with patients from all ATS categories, whereas those from Queensland and New South Wales were more likely to be restricted to ATS Categories 3–5.
Almost 90% (n = 141) of emergency NPs reported spending most of or all their time in FastTrack (Fig. 2).
In addition to their clinical activities, emergency NPs were involved in other roles, including education, training, mentoring, research and audit. Surveyed NPs spent, on average, 11% of their work week on these other roles.
NP parameters of practice were measured by the extent to which the NPs had access to specific practice activities. Seventy per cent of emergency NPs (n = 113) had a Pharmaceutical Benefits Scheme (PBS) number, with 11% (n = 18) also holding a Medicare provider number (Medicare Benefit Schedule (MBS)). Those without these privileges found this moderately to severely limiting (Limitations to Practice (Item 11) mean scores 3.2 for both MBS and PBS).
NPs have no authority to issue WorkCover certificates and this group found the restriction to be moderately to severely limiting in their work (mean score 3.4). NPs also reported that it was somewhat limiting (mean score 2.4) when their referrals to other healthcare professionals were refused. When asked to what extent they are limited by their current scope of practice, NPs believed they were somewhat limited (mean score 2.5).
Discussion
The present study is the first reporting Australian ED characteristics to include all discipline workforce and service and operational models, and thus provides previously unknown baseline information to inform ongoing research into ED staffing. Previous studies reporting on surveys of Australian EDs have been limited either to state-based reports,12 industry subsets, such as ACEM training hospitals,15 or single workforce disciplines, such as nursing.3 In addition, there is scant evidence that similar work has been conducted internationally, with available literature reporting research focused on service capability and capacity.16–18 The response rate to the present survey was exceptionally high, covering 87% of the sample population. Recruitment success was due, in part, to the method of survey delivery and a modest survey designed to be completed within a 15-min telephone interview.
More than 30% of the Australian population visited EDs for the financial year 2011–12, with more than 6.5 million emergency presentations.19 Australian EDs have adapted new operational and workforce models to improve service performance in the face of these challenges and increased demand, and the present study has revealed the variation in these models nationally.
Nursing staffing profiles in Australian EDs are affected by jurisdiction because nursing position classifications are determined industrially at the state or territory level, with the exception of the NP role, which is nationally regulated.20,21 Numbers of senior nursing roles, such as NPs and clinical nurse consultants, varied across jurisdictions. For example, Victorian EDs were notable for low adoption of both NPs and clinical nurse consultants. Of note, nomenclature for describing nursing positions varied by state, but equivalence was able to be determined through our pilot work described in the Methods. Despite this, because Australia now has one national registration body, the time is right to address consistency in role titles and role descriptors.
Medical positions in EDs in terms of residents, trainees and specialist staff did not differ between states; medical position classifications are nationally consistent and not subject to the jurisdiction-based variations found in the nursing workforce.
Traditionally, ED staff profiles nationally have been primarily dominated by medical and nursing staff. However, with the changing profile of ED presentations, service planners have moved to a more extended multidisciplinary approach incorporating allied health professionals22 to improve support for patients with complex conditions and those needing social care. There is some evidence of improved outcome from this initiative, with recommendations in the literature for further research.22,23 The results of the present study show that Australian EDs have access to a variety of allied health professions through direct employment, shared employment with other hospital departments and on-call arrangements. These arrangements made it difficult to measure exact FTE for these professionals. State variance in types and FTE of allied health professionals was evident and may reflect differences in state health department-established standards and guidelines.4,24
Different service and operational models of care have been adopted by EDs with the goal to provide the flexibility to streamline patient flow and provide timely care according to local need. One approach to improving patient flow, FastTrack, had widespread adoption with 72% of EDs reporting implementation of this service model. The acceptance of this model is due to reports of significant improvements in key national indicators where it is used,25 as well as reported positive experiences by both patients and staff.26 FastTrack, with both medical and senior nursing (NP) staff as treating clinicians, enables non-complex patients to be streamed, treated and discharged in under 2 h, particularly in high-traffic periods. This is particularly relevant in the context of government imperatives for EDs to meet National Emergency Access Targets. Hospital EDs with FastTrack were significantly more likely to employ NPs, and 90% of surveyed NPs reported that they spent most of or all their time in FastTrack. This suggests that the NP is seen as key to the success of the FastTrack service model.
Other common operational modes were liaison models. The use of liaison models varied between states and locations and specialist liaison models were adopted in EDs that serviced populations with high percentages of people with unique needs, such as refugees and young adults. Overall psychiatric and aged care liaison models were common throughout Australian EDs. Psychiatric liaison nurses and services are known to promote mental health awareness within the ED and focus on therapeutic intervention and coordination of care, and reducing waiting times for individuals presenting to the ED in psychological distress.27
In the present survey, more information was collected from NPs than other emergency workforce positions because this provider is relatively new and there is scant information on this new service in Australian EDs. The present report provides the first comprehensive profile of emergency NPs in Australia. In terms of clinical practice activities, these NPs spent most of or all their work time in FastTrack areas. Most had a PBS number, whereas just 11% held an MBS number. Following landmark changes in legislation (Health Insurance Act 1973) in November 2010, NPs were eligible to apply for and hold an MBS number subject to certain conditions. One of these conditions was that access was limited to NPs working in private practice; NPs in public hospitals are not eligible for an MBS provider number, with some exemptions for rural and remote areas. Lack of an MBS provider number has previously been identified as limiting NPs ability to work within their legal scope of practice.28,29 This causes disadvantage to patients in the ED in terms of timely referral to specialist medical or in-home care and may affect problems of increased service demand and access block. The findings from the present study show that further research is indicated on the potential effects of these policy limitations to NP practice and ED service.
Study limitations
The limitations of this study relate to completeness of data collection. Lack of data from the Northern Territory limits inclusion of this jurisdiction in the national profile of ED staffing and service models. Less than 10% of surveys contained missing data; however, this missing information was often medical workforce FTE items. The present study was restricted to public EDs and the exclusion of private EDs, which represent almost 10% of all Australia EDs, limits the generalisability of the findings of the present study. In addition, and common to all survey studies, self-reported data are subject to threats of validity.
Conclusions
The present study is the first to measure the staffing configuration and organisational characteristics of Australian EDs. Previous research showed that the largest cohort of NPs in Australia is employed in EDs29 and now, through the present study, we know the service patterns and distribution of this cohort.
The findings of the present study reveal that Australian EDs are well staffed in terms of medical specialists and employ NPs. However, state differences were found when examining the prevalence of certain nursing positions and allied health professionals. When examining operational models, state differences were found regarding the availability of aged care and psychiatric liaison models. It was revealed that FastTrack and short-stay and observation units were the most commonly used patient streaming models. Notably, the present study is part of a larger body of work investigating the practice and profile of NP services in EDs nationally. The present study will enable us to examine associations between these service characteristics and patient outcomes of NP service in EDs.
Australian health service providers, clinical leaders and government departments now have access to reliable, up-to-date information on the workforce configuration and organisational characteristics of EDs. This information is useful in informing service planning and innovation, ongoing staff education and distribution and a baseline for measuring trends in ED service development.
Competing interests
None declared.
Acknowledgements
The authors gratefully acknowledge and thank all the respondents in this study and their management for allocating the time for interviews. The authors also thank Debra Berry, Huaqiong Zhou, Rosemary Phillips, Larissa Collins and Majella McCarthy for assistance with the preparation of ethics applications. This study was funded by the Australian Research Council (LP140100320) and industry partners (Office of the Chief Nursing and Midwifery Officer, Queensland Health; Clinician Planning and Leadership Unit, Queensland Health; Nursing and Midwifery Office, SA Health; Nursing and Midwifery Office, NSW Health; Chief Nurse and Midwifery Officer, Department of Health and Human Services, Victoria; Nursing and Midwifery Office, Department of Health, Western Australia)
References
[1] FitzGerald G, Toloo G, He J, Doig G, Rosengren D, Rothwell S, Hou X. Private hospital emergency departments in Australia: challenges and opportunities. Emerg Med Australas 2013; 25 233–40.| Private hospital emergency departments in Australia: challenges and opportunities.Crossref | GoogleScholarGoogle Scholar |
[2] Wylie K, Crilly J, Toloo G, Fitzgerald G, Burke J, Williams G, Bell A. Review article: emergency department models of care in the context of care quality and cost: a systematic review. Emerg Med Australas 2015; 27 95–101.
| Review article: emergency department models of care in the context of care quality and cost: a systematic review.Crossref | GoogleScholarGoogle Scholar |
[3] Duffield CM, Conlon L, Kelly M, Catling-Paul C, Stasa H. The emergency department nursing workforce: local solutions for local issues. Int Emerg Nurs 2010; 18 181–7.
| The emergency department nursing workforce: local solutions for local issues.Crossref | GoogleScholarGoogle Scholar |
[4] Australian Health Workforce Advisory Committee. Health workforce planning and models of care in emergency departments. Sydney: Australian Health Workforce Advisory Committee; 2006.
[5] FitzGerald G, Toloo G, Romeo M. Emergency healthcare of the future. Emerg Med Australas 2014; 26 291–4.
| Emergency healthcare of the future.Crossref | GoogleScholarGoogle Scholar |
[6] Forero R, Hillman K. Access block and overcrowding: a literature review. Australasian College for Emergency Medicine; 2008. Available at: https://www.acem.org.au/getattachment/a9b0069c-d455-4f49-9eec-fe7775e59d0b/Access-Block-2008-literature-review.aspx [verified 18 October 2016].
[7] Sammut J. Why public hospitals are overcrowded: ten points for policy makers. Policy Monographs, Centre of Independent Studies. 2009. Available at: http://www.cis.org.au/app/uploads/2015/07/pm99.pdf? [verified 18 October 2016].
[8] Hoot NR, Aronsky D. Systematic review of emergency department crowding: causes, effects and solutions. Ann Emerg Med 2008; 52 126–36.
| Systematic review of emergency department crowding: causes, effects and solutions.Crossref | GoogleScholarGoogle Scholar |
[9] Queensland Health. Metropolitan Emergency Department Access Initiative: a report on ambulance ramping in metropolitan hospitals. 2012. Available at: https://www.health.qld.gov.au/publications/medai-report/final_medai_report.pdf [verified 18 October 2016].
[10] Wand T, D’Abrew N, Acret L, White K. Evaluating a new model of nurse-led emergency department mental health care in Australia; perspectives of key informants. Int Emerg Nurs 2016; 24 16–21.
| Evaluating a new model of nurse-led emergency department mental health care in Australia; perspectives of key informants.Crossref | GoogleScholarGoogle Scholar |
[11] Jennings N, Gardner G, O’Reilly G, Mitra B. Evaluating nurse practitioner service effectiveness on achieving timely analgesia: a pragmatic randomised controlled trial. Acad Emerg Med 2015; 22 676–84.
| Evaluating nurse practitioner service effectiveness on achieving timely analgesia: a pragmatic randomised controlled trial.Crossref | GoogleScholarGoogle Scholar |
[12] NSW Health. NSW Health emergency department workforce research project: final report. 2009. Available at: http://www.health.nsw.gov.au/workforce/Documents/ed-workforce-research.pdf [verified 18 October 2016].
[13] Morphet J, Kent B, Plummer V, Considine J. Profiling nursing resources in Australian emergency departments. Australas Emerg Nurs J 2016; 19 1–10.
| Profiling nursing resources in Australian emergency departments.Crossref | GoogleScholarGoogle Scholar |
[14] Australian Medical Workforce Advisory Committee. The specialist emergency medicine workforce in Australia: an update: 2002 to 2012. Sydney: Australian Medical Workforce Advisory Committee; 2003.
[15] Australasian College for Emergency Medicine. Hospital data and accreditation 2012 survey – Part 1: report of findings. 2013. Available at: https://www.acem.org.au/getattachment/19094f7e-2b18-45be-9dc4-87457693abc1/ACEM-Hospital-data-accreditation-2012-survey-Part.aspx [verified 18 October 2016].
[16] Wen LS, Venkataraman A, Sullivan AF, Camargo CA. National inventory of emergency departments in Singapore. Int J Emerg Med 2012; 5 38
| National inventory of emergency departments in Singapore.Crossref | GoogleScholarGoogle Scholar |
[17] Sanchez B, Hirzel AH, Bingisser R, Ciurea A, Exadaktylos A, Lehmann B, Matter H, Meier K, Osterwalder J, Sieber R, Yersin B, Camargo CA, Hugli O. State of emergency medicine in Switzerland: a national profile of emergency departments in 2006. Int J Emerg Med 2013; 6 23
| State of emergency medicine in Switzerland: a national profile of emergency departments in 2006.Crossref | GoogleScholarGoogle Scholar |
[18] Wen LS, Xu J, Steptoe AP, Sullivan AF, Walline JH, Yu X, Camargo CA. Emergency department characteristics and capabilities in Beijing, China. J Emerg Med 2013; 44 1174–9.
| Emergency department characteristics and capabilities in Beijing, China.Crossref | GoogleScholarGoogle Scholar |
[19] Australian Institute of Health and Welfare (AIHW). Australian hospital statistics 2011–12. Canberra: AIHW; 2013. Available at: http://www.aihw.gov.au/WorkArea/DownloadAsset.aspx?id=60129543146 [verified 18 October 2016].
[20] Duffield C, Gardner G, Chang AM, Catling-Paull C. Advanced nursing practice: a global perspective. Collegian 2009; 16 55–62.
| Advanced nursing practice: a global perspective.Crossref | GoogleScholarGoogle Scholar |
[21] Chang AM, Gardner GE, Duffield C, Ramis M-A. Advanced practice nursing role development: factor analysis of a modified role delineation tool. J Adv Nurs 2012; 68 1369–79.
| Advanced practice nursing role development: factor analysis of a modified role delineation tool.Crossref | GoogleScholarGoogle Scholar |
[22] Allied Health Workforce Advice and Coordination Unit, Queensland Health. Discussion paper: allied health profession staffing in Queensland Health emergency departments. 2011. Available at: https://www.aci.health.nsw.gov.au/__data/assets/pdf_file/0003/327666/ED_allied_ health_workforce_discussion_paper_The_Allied_Health_Workforce_Advice_and_Coordination_Unit,_QLD_Health.pdf [verified 18 October 2016].
[23] Arendts G, Fitzhardinge S, Pronk K, Donaldson M, Hutton M, Nagree Y. The impact of early emergency department allied health intervention on admission rates in older people: a non-randomized clinical study. BMC Geriatr 2012; 12 8
| The impact of early emergency department allied health intervention on admission rates in older people: a non-randomized clinical study.Crossref | GoogleScholarGoogle Scholar |
[24] Scott A, Cheng MT. Workload measures for allied health professionals. Final report. Adelaide: National Health Workforce Planning and Research Collaboration; 2010. Available at: http://pandora.nla.gov.au/pan/133228/20150419-0017/www.hwa.gov.au/sites/uploads/Workload%20Measures%20for%20Allied%20Health%20Professionals%20Final%20Report.pdf [verified 18 October 2016].
[25] O’Brien D, Williams A, Blondell K, Jelinek GA. Impact of streaming ‘fast track’ emergency department patients. Aust Health Rev 2006; 30 525–32.
| Impact of streaming ‘fast track’ emergency department patients.Crossref | GoogleScholarGoogle Scholar |
[26] Considine J, Kropman M, Stergiou HE. Effect of clinician designation on emergency department fast track performance. Emerg Med J 2010; 27 838–42.
| Effect of clinician designation on emergency department fast track performance.Crossref | GoogleScholarGoogle Scholar |
[27] Wand T, White K. Examining models of mental health service delivery in the emergency department. Aust N Z J Psychiatry 2007; 41 784–91.
| Examining models of mental health service delivery in the emergency department.Crossref | GoogleScholarGoogle Scholar |
[28] Middleton S, Gardner A, Gardner G, Della PR. The status of Australian nurse practitioners: the second national census. Aust Health Rev 2011; 35 448–54.
[29] Middleton S, Gardner A, Della P, Lam L, Allnutt N, Gardner G. How has the profile of Australian nurse practitioners changed over time? Collegian 2016; 23 69–77.
| How has the profile of Australian nurse practitioners changed over time?Crossref | GoogleScholarGoogle Scholar |