Gerry FitzGerald1, Ghasem Sam Toloo1, Peter Aitken2, Gerben Keijzers3,4,5,6, Paul Scuffham7. 1. School of Public Health and Social Work, Queensland University of Technology, Brisbane, Queensland, Australia. 2. College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Queensland, Australia. 3. Department of Emergency Medicine, Gold Coast Health Service District, Gold Coast, Queensland, Australia. 4. Faculty of Health Sciences and Medicine, Bond University, Gold Coast, Queensland, Australia. 5. School of Medicine, Griffith University, Gold Coast, Queensland, Australia. 6. Queensland Emergency Research Collaborative, Queensland Emergency Medicine Research Foundation, Brisbane, Queensland, Australia. 7. Menzies Health Institute Queensland, Griffith University, Brisbane, Queensland, Australia.
Abstract
OBJECTIVES: To inform demand management strategies aimed at reducing congestion in EDs by: (i) identifying public use of EDs, decision-making and reasons; and (ii) measuring acceptance of alternative care models. METHODS: A cross-sectional telephone survey of a random sample of Queensland population aged 18 years or older residing in a dwelling unit in Queensland that could be contacted on a land-based telephone service was conducted. One person per household was selected according to a predetermined algorithm to ensure sex and regional balance were interviewed. The main outcome measures were: ED use, attitudes towards ED staff and services, and alternative models of care. RESULTS: The final sample included a total of 1256 respondents (response rate = 40.3%). Twenty-one per cent attended EDs in the preceding 12 months. The decision to attend was made by patients (51%), health and medical professionals (31%), and others (18%). The main reasons included perceived severity of the illness (47%), unavailability of alternative services (26%) and better care (11%). Most respondents agreed with more flexible care models of service delivery including incentives for general practitioners (90%), private health insurance coverage for ED use (89%), and enhanced roles for paramedics and nurses. CONCLUSIONS: Main reason for attending ED is perceived severity of illness, followed by lack of alternative care. The majority of both consumers and the public are in favour of more flexible care models. However, further research is necessary to detail those alternatives and to test and validate their effectiveness.
OBJECTIVES: To inform demand management strategies aimed at reducing congestion in EDs by: (i) identifying public use of EDs, decision-making and reasons; and (ii) measuring acceptance of alternative care models. METHODS: A cross-sectional telephone survey of a random sample of Queensland population aged 18 years or older residing in a dwelling unit in Queensland that could be contacted on a land-based telephone service was conducted. One person per household was selected according to a predetermined algorithm to ensure sex and regional balance were interviewed. The main outcome measures were: ED use, attitudes towards ED staff and services, and alternative models of care. RESULTS: The final sample included a total of 1256 respondents (response rate = 40.3%). Twenty-one per cent attended EDs in the preceding 12 months. The decision to attend was made by patients (51%), health and medical professionals (31%), and others (18%). The main reasons included perceived severity of the illness (47%), unavailability of alternative services (26%) and better care (11%). Most respondents agreed with more flexible care models of service delivery including incentives for general practitioners (90%), private health insurance coverage for ED use (89%), and enhanced roles for paramedics and nurses. CONCLUSIONS: Main reason for attending ED is perceived severity of illness, followed by lack of alternative care. The majority of both consumers and the public are in favour of more flexible care models. However, further research is necessary to detail those alternatives and to test and validate their effectiveness.
Authors: Michael M Dinh; Saartje Berendsen Russell; Kendall J Bein; Dane R Chalkley; David Muscatello; Richard Paoloni; Rebecca Ivers Journal: BMJ Open Date: 2016-05-10 Impact factor: 2.692
Authors: Roberto Forero; Shizar Nahidi; Josephine de Costa; Daniel Fatovich; Gerry FitzGerald; Sam Toloo; Sally McCarthy; David Mountain; Nick Gibson; Mohammed Mohsin; Wing Nicola Man Journal: BMC Health Serv Res Date: 2019-01-30 Impact factor: 2.655