Literature DB >> 28514641

Mapping workforce configuration and operational models in Australian emergency departments: a national survey.

Glenn Gardner1, Anne Gardner2, Sandy Middleton3, Julie Considine4, Gerard Fitzgerald5, Luke Christofis6, Anna Doubrovsky1, Margaret Adams1, Jane O'Connell7.   

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.

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Year:  2018        PMID: 28514641     DOI: 10.1071/AH16231

Source DB:  PubMed          Journal:  Aust Health Rev        ISSN: 0156-5788            Impact factor:   1.990


  8 in total

1.  Development and delivery of an allied health team intervention for older adults in the emergency department: A process evaluation.

Authors:  Marica Cassarino; Úna Cronin; Katie Robinson; Rosie Quinn; Fiona Boland; Marie E Ward; Rosa McNamara; Margaret O'Connor; Gerard McCarthy; Damien Ryan; Rose Galvin
Journal:  PLoS One       Date:  2022-05-26       Impact factor: 3.752

2.  Implementing an allied health team intervention to improve the care of older adults in the emergency department: protocol for a process evaluation.

Authors:  Marica Cassarino; Úna Cronin; Katie Robinson; Rosie Quinn; Fiona Boland; Marie E Ward; Rosa MacNamara; Margaret O'Connor; Gerard McCarthy; Damien Ryan; Rose Galvin
Journal:  BMJ Open       Date:  2019-07-16       Impact factor: 2.692

3.  Are service and patient indicators different in the presence or absence of nurse practitioners? The EDPRAC cohort study of Australian emergency departments.

Authors: 
Journal:  BMJ Open       Date:  2019-07-30       Impact factor: 2.692

4.  Impact of early assessment and intervention by teams involving health and social care professionals in the emergency department: A systematic review.

Authors:  Marica Cassarino; Katie Robinson; Rosie Quinn; Breda Naddy; Andrew O'Regan; Damien Ryan; Fiona Boland; Marie E Ward; Rosa McNamara; Margaret O'Connor; Gerard McCarthy; Rose Galvin
Journal:  PLoS One       Date:  2019-07-31       Impact factor: 3.240

5.  Rural emergency care facilities may be adapting to their context: A population-level study of resources and workforce.

Authors:  Tim Baker; Katie Moore; Jolene Lim; Cerissa Papanastasiou; Sally McCarthy; Franco Schreve; Mary Lawson; Vincent Versace
Journal:  Aust J Rural Health       Date:  2022-02-16       Impact factor: 2.060

6.  Comparing physician associates and foundation year two doctors-in-training undertaking emergency medicine consultations in England: a mixed-methods study of processes and outcomes.

Authors:  Mary Halter; Vari Drennan; Chao Wang; Carly Wheeler; Heather Gage; Laura Nice; Simon de Lusignan; Jonathan Gabe; Sally Brearley; James Ennis; Phil Begg; Jim Parle
Journal:  BMJ Open       Date:  2020-09-01       Impact factor: 2.692

7.  Assessment of Time-Series Machine Learning Methods for Forecasting Hospital Discharge Volume.

Authors:  Thomas H McCoy; Amelia M Pellegrini; Roy H Perlis
Journal:  JAMA Netw Open       Date:  2018-11-02

8.  Stakeholders' perspectives on models of care in the emergency department and the introduction of health and social care professional teams: A qualitative analysis using World Cafés and interviews.

Authors:  Marica Cassarino; Rosie Quinn; Fiona Boland; Marie E Ward; Rosa McNamara; Margaret O'Connor; Gerard McCarthy; Damien Ryan; Rose Galvin; Katie Robinson
Journal:  Health Expect       Date:  2020-08-25       Impact factor: 3.377

  8 in total

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