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Shahab J, Noonan M, Cox S, Nehme Z, Shepherd M, Meadley B, Mitra B, Olaussen A. The diagnostic utility of prehospital hyperglycaemia in major trauma patients: An observational study. Emerg Med Australas 2024. [PMID: 39505715 DOI: 10.1111/1742-6723.14521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/24/2024] [Revised: 09/23/2024] [Accepted: 10/06/2024] [Indexed: 11/08/2024]
Abstract
OBJECTIVES Stress-induced hyperglycaemia (SIH) is an elevated blood glucose level (≥11.1 mmol/L) in patients experiencing physiological stress, in the absence of diabetes mellitus. Although early in-hospital SIH has been associated with worse outcomes following major trauma, the predictive value of SIH in the prehospital setting has not been established. To investigate the role of prehospital SIH as a predictor of in-hospital mortality following major trauma. METHODS A retrospective cohort study of non-diabetic, adult major trauma patients was undertaken to determine the association between prehospital SIH and in-hospital mortality. Secondary outcomes included ED disposition and ED length of stay. RESULTS Of 1179 trauma patients included, 89 (8%) had SIH. Prehospital SIH was associated with higher Injury Severity Scores (median (interquartile range): 25 (17-33) vs 17 (14-25)), lower GCS (GCS 3-7: 48.3% vs 10.9%, P < 0.001), lower systolic BP (mean (SD): 122 (44.0) vs 133 (30.3)), lower oxygen saturations (mean (SD): 88% (16) vs 96% (7)) and abnormal heart and respiratory rate. The in-hospital mortality rate was 9.9% in non-SIH patients and 42.7% among patients with SIH (odds ratio (OR): 6.8; 95% confidence interval (CI): 4.3-10.8, P < 0.001). The area under the receiver operating curve for blood glucose alone in predicting mortality was 0.65 (95% CI: 0.60-0.70). Prehospital blood glucose was an independent predictor of mortality after adjustment for age, sex, GCS and vital signs (adjusted OR = 2.9; 95% CI: 1.5-5.5, P = 0.001). CONCLUSION The present study demonstrated an association between prehospital SIH and in-hospital mortality following major trauma. Further prospective research is warranted to examine the utility and integration of prehospital SIH into predicting models of trauma care.
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Affiliation(s)
- Jordi Shahab
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Michael Noonan
- National Trauma Research Institute, Melbourne, Victoria, Australia
- Trauma Service, The Alfred Hospital, Melbourne, Victoria, Australia
- Central Clinical School, Faculty of Medicine, Nursing and Health Sciences, Monash University, Melbourne, Victoria, Australia
| | - Shelley Cox
- Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Matthew Shepherd
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Ben Meadley
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Biswadev Mitra
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Alfred Health Emergency Service, Melbourne, Victoria, Australia
| | - Alexander Olaussen
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
- National Trauma Research Institute, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health & Preventive Medicine, Monash University, Melbourne, Victoria, Australia
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Ball J, Mahony E, Nehme E, Voskoboinik A, Hogarty J, Dawson LP, Horrigan M, Kaye DM, Stub D, Nehme Z. The burden of atrial fibrillation on emergency medical services: A population-based cohort study. Int J Cardiol 2024; 414:132397. [PMID: 39084296 DOI: 10.1016/j.ijcard.2024.132397] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/17/2024] [Revised: 07/10/2024] [Accepted: 07/24/2024] [Indexed: 08/02/2024]
Abstract
BACKGROUND Atrial fibrillation (AF) is a growing burden on healthcare resources, despite improvements in prevention and management. AF is a common cause of hospitalisation, and Emergency Medical Services (EMS) use. However, there is a paucity of data describing the burden of AF on EMS. We aimed to determine the prevalence, characteristics, and outcomes of patients presenting with AF to EMS using a large population-based sample. METHODS Consecutive attendances for AF in Victoria, Australia (January 2015-June 2019) were included if patients had a diagnosis of "AF" or "arrhythmia" with AF on electrocardiogram. Data were individually linked to emergency, hospital, and mortality records. RESULTS Of 2,613,056 EMS attendances, 16,525 were a first attendance for AF and linked to hospital records. Median (IQR) age was 76 (67,84) years (43% female). Seventy-eight percent had high thromboembolic risk (CHA2DS2-VASc score ≥ 2), and 72% had a heart rate ≥ 100 bpm. Forty-two percent of patients received no treatment by paramedics and 99.4% were transported to hospital. Fifty-three percent were discharged from ED. Median length of hospital stay was 2 days. Of 2542 cases reattended for AF, 19% occurred within 30 days, with increased odds for females and those of low socioeconomic status. Overall, 24% died during the study period, 12% within 30 days. Increasing age, heart failure, stroke, COPD, and low socioeconomic status increased the odds of 30-day mortality. CONCLUSIONS EMS utilisation for AF is common and associated with frequent reattendance. Further studies are required to investigate novel pathways of care to reduce AF burden on healthcare systems.
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Affiliation(s)
- Jocasta Ball
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3000, Australia; Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria 3000, Australia; Ambulance Victoria, 31 Joseph St, Blackburn North, Victoria 3130, Australia; Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia; Monash Alfred Baker Centre for Cardiovascular Research, 55 Commercial Rd, Melbourne, Victoria 3000, Australia.
| | - Emily Mahony
- Ambulance Victoria, 31 Joseph St, Blackburn North, Victoria 3130, Australia
| | - Emily Nehme
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3000, Australia; Ambulance Victoria, 31 Joseph St, Blackburn North, Victoria 3130, Australia
| | - Aleksandr Voskoboinik
- Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria 3000, Australia; Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia
| | - Joseph Hogarty
- Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia
| | - Luke P Dawson
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3000, Australia; Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria 3000, Australia; Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia
| | - Mark Horrigan
- Department of Cardiology, Austin Hospital, 145 Studley Rd, Heidelberg, Victoria 3084, Australia
| | - David M Kaye
- Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria 3000, Australia; Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia; Monash Alfred Baker Centre for Cardiovascular Research, 55 Commercial Rd, Melbourne, Victoria 3000, Australia; School of Translational Medicine, Monash University, 99 Commercial Rd, Melbourne, Victoria 3000, Australia
| | - Dion Stub
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3000, Australia; Baker Heart and Diabetes Institute, 75 Commercial Rd, Melbourne, Victoria 3000, Australia; Ambulance Victoria, 31 Joseph St, Blackburn North, Victoria 3130, Australia; Department of Cardiology, Alfred Hospital, 55 Commercial Rd, Melbourne, Victoria 3000, Australia; Monash Alfred Baker Centre for Cardiovascular Research, 55 Commercial Rd, Melbourne, Victoria 3000, Australia
| | - Ziad Nehme
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Victoria 3000, Australia; Ambulance Victoria, 31 Joseph St, Blackburn North, Victoria 3130, Australia; Department of Paramedicine, Monash University, 47-49 Moorooduc Hwy, Frankston, Victoria 3199, Australia
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3
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Nehme E, Smith K, Jones C, Cox S, Cameron P, Nehme Z. Refining ambulance clinical response models: The impact on ambulance response and emergency department presentations. Emerg Med Australas 2024; 36:609-615. [PMID: 38561320 DOI: 10.1111/1742-6723.14406] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2023] [Revised: 01/21/2024] [Accepted: 03/15/2024] [Indexed: 04/04/2024]
Abstract
OBJECTIVE The ambulance service in Victoria, Australia implemented a revised clinical response model (CRM) in 2016 which was designed to increase the diversion of low-acuity Triple Zero (000) calls to secondary telephone triage and reduce emergency ambulance dispatches. The present study evaluates the influence of the revised CRM on emergency ambulance response times and ED presentations. METHODS A retrospective study of emergency calls for ambulance between 1 January 2015 and 31 December 2018. Ambulance data were linked with ED presentations occurring up to 48 h after contact. Interrupted time series analyses were used to evaluate the impact of the revised CRM. RESULTS A total of 2 365 529 calls were included. The proportion allocated a Code 1 (time-critical, lights/sirens) dispatch decreased from 56.6 to 41.0% after implementation of the revised CRM. The proportion of calls not receiving an emergency ambulance increased from 10.4 to 19.6%. Interrupted time series analyses demonstrated an improvement in Code 1 cases attended within 15 min (Key Performance Indicator). However, for patients with out-of-hospital cardiac arrest or requiring lights and sirens transport to hospital, there was no improvement in response time performance. By the end of the study period, there was also no difference in the proportion of callers presenting to ED when compared with the estimated proportion assuming the revised CRM had not been implemented. CONCLUSION The revised CRM was associated with improved Code 1 response time performance. However, there was no improvement in response times for high acuity patients, and no change in the proportion of callers presenting to ED.
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Affiliation(s)
- Emily Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Karen Smith
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
- Department of Research and Innovation, Silverchain, Melbourne, Victoria, Australia
| | - Colin Jones
- Clinical Operations, Ambulance Victoria, Melbourne, Victoria, Australia
| | - Shelley Cox
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Peter Cameron
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- The Alfred Emergency and Trauma Centre, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
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Le PH, Cox S, Delir Haghighi P, Wybrow M, Smith K, Nehme Z. Utilization of Emergency Medical Services by Culturally and Linguistically Diverse Patients: A Population-Based Retrospective Study. PREHOSP EMERG CARE 2024; 28:988-997. [PMID: 39037365 DOI: 10.1080/10903127.2024.2377368] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2024] [Revised: 06/13/2024] [Accepted: 06/20/2024] [Indexed: 07/23/2024]
Abstract
OBJECTIVES To compare emergency medical services (EMS) utilization between culturally and linguistically diverse (CALD) and non-CALD patients in Victoria, Australia. METHODS A retrospective study of EMS attendances and transports in Victoria from January 2015 to June 2019, utilizing linked EMS, hospital emergency and admissions data. The CALD and non-CALD patients who received EMS care and transport to a Victorian public emergency department were included. The incidence of EMS use for CALD and non-CALD patients based on the 2016 Census population and expressed per 100,000 person-years. RESULTS In 1,261,167 included patients, there were 272,100 (21.6%) CALD and 989,067 (78.4%) non-CALD patients. Before adjustment for age and sex, EMS utilization for CALD patients was 13% lower than non-CALD patients (incidence rate ratio [IRR] 0.87, 95% CI: 0.87-0.87). When stratified by age groups, CALD patients aged under 70 years had significantly lower rates of EMS utilization than non-CALD patients, while CALD patients aged 75 years or older were more likely than non-CALD patients to use EMS (IRR 1.08, 95% CI: 1.07-1.09). The CALD patients were less likely to utilize EMS for trauma/external injury (IRR = 0.67, 95% CI: 0.66-0.68) and mental health/alcohol/drug problems (IRR = 0.39, 95% CI: 0.38-0.40). After adjustment for differences in the age and sex distribution of CALD and non-CALD populations, CALD patients were 51% less likely to utilize EMS than non-CALD patients (IRR 0.49, 95% CI: 0.42-0.56). CONCLUSIONS The CALD patients used EMS less frequently than non-CALD patients with significant variation observed across age groups, countries of birth, and clinical presentation. Further research is needed to understand the factors that may be contributing to these disparities.
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Affiliation(s)
- Phuc Huu Le
- Department of Human-Centred Computing, Monash University, Australia
| | - Shelley Cox
- Centre for Research and Evaluation, Ambulance Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Australia
| | | | - Michael Wybrow
- Department of Human-Centred Computing, Monash University, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Australia
- Department of Community Emergency Health and Paramedic Practice, Monash University, Australia
- Department of Research and Innovation, Silverchain Group, Australia
| | - Ziad Nehme
- Centre for Research and Evaluation, Ambulance Victoria, Australia
- Department of Community Emergency Health and Paramedic Practice, Monash University, Australia
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Chatoor R, Sekhar P, Mahony E, Nehme E, Cox S, Cudini D, Shao J, Smith K, Anderson D, Nehme Z, Udy A. The burden and prognostic significance of suspected sepsis in the prehospital setting: A state-wide population-based cohort study. Emerg Med Australas 2024; 36:348-355. [PMID: 38081764 DOI: 10.1111/1742-6723.14357] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2023] [Revised: 10/13/2023] [Accepted: 11/18/2023] [Indexed: 05/21/2024]
Abstract
OBJECTIVE Despite high in-hospital mortality, the epidemiology of prehospital suspected sepsis presentations is not well described. This retrospective cohort study aimed to quantify the burden of such presentations, and to determine whether such a diagnosis was independently associated with longer-term mortality. METHODS Retrospective, observational population-based cohort study examining all adult prehospital presentations in Victoria, between January 2015 and June 2019, who required subsequent in-hospital assessment. Linked data were extracted from clinical and administrative datasets. Demographics, illness severity, prehospital treatment and mortality were compared between prehospital suspected sepsis and non-sepsis patients. Multivariable logistic regression was used to determine the adjusted association between prehospital assessment (suspected sepsis vs non-sepsis) and 6-month mortality. RESULTS A total of 1 218 047 patients were included. The age-adjusted incidence rate of prehospital suspected sepsis was 65 cases per 100 000 person-years. Those with prehospital suspected sepsis were older (74 vs 62 years), more frequently male (55% vs 47%), with greater physiological derangement. Intravenous cannulas were more often inserted prehospital (60% vs 29%). Crude in-hospital mortality was 6.5-fold higher in the prehospital suspected sepsis group (11.8% vs 1.8%), and by 6 months, 22.6% had died. After adjustment for demographics, illness severity, comorbidity, treatment and hospital location, a diagnosis of prehospital suspected sepsis was associated with a 35% higher likelihood of 6-month mortality (OR 1.35, 95% CI 1.29-1.41). CONCLUSIONS The burden of prehospital suspected sepsis in the Australian setting is significant, with paramedics identifying patients at high-risk of poor longer-term outcomes. This implies the need to consider improved care pathways for this highly vulnerable group.
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Affiliation(s)
- Richard Chatoor
- Intensive Care Unit, Royal North Shore Hospital, Sydney, New South Wales, Australia
| | - Praba Sekhar
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Emily Mahony
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Emily Nehme
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Shelley Cox
- Ambulance Victoria, Melbourne, Victoria, Australia
| | - Daniel Cudini
- Ambulance Victoria, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Jeffrey Shao
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Karen Smith
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Research and Innovation, Silverchain, Melbourne, Victoria, Australia
| | - David Anderson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, Victoria, Australia
| | - Ziad Nehme
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Ambulance Victoria, Melbourne, Victoria, Australia
- Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Andrew Udy
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Department of Intensive Care and Hyperbaric Medicine, The Alfred, Melbourne, Victoria, Australia
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Farhat H, Makhlouf A, Gangaram P, Aifa KE, Khenissi MC, Howland I, Abid C, Jones A, Howard I, Castle N, Al Shaikh L, Khadhraoui M, Gargouri I, Laughton J, Alinier G. Exploring factors influencing time from dispatch to unit availability according to the transport decision in the pre-hospital setting: an exploratory study. BMC Emerg Med 2024; 24:77. [PMID: 38684980 PMCID: PMC11057082 DOI: 10.1186/s12873-024-00992-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/17/2024] [Accepted: 04/19/2024] [Indexed: 05/02/2024] Open
Abstract
BACKGROUND Efficient resource distribution is important. Despite extensive research on response timings within ambulance services, nuances of time from unit dispatch to becoming available still need to be explored. This study aimed to identify the determinants of the duration between ambulance dispatch and readiness to respond to the next case according to the patients' transport decisions. METHODS Time from ambulance dispatch to availability (TDA) analysis according to the patients' transport decision (Transport versus Non-Transport) was conducted using R-Studio™ for a data set of 93,712 emergency calls managed by a Middle Eastern ambulance service from January to May 2023. Log-transformed Hazard Ratios (HR) were examined across diverse parameters. A Cox regression model was utilised to determine the influence of variables on TDA. Kaplan-Meier curves discerned potential variances in the time elapsed for both cohorts based on demographics and clinical indicators. A competing risk analysis assessed the probabilities of distinct outcomes occurring. RESULTS The median duration of elapsed TDA was 173 min for the transported patients and 73 min for those not transported. The HR unveiled Significant associations in various demographic variables. The Kaplan-Meier curves revealed variances in TDA across different nationalities and age categories. In the competing risk analysis, the 'Not Transported' group demonstrated a higher incidence of prolonged TDA than the 'Transported' group at specified time points. CONCLUSIONS Exploring TDA offers a novel perspective on ambulance services' efficiency. Though promising, the findings necessitate further exploration across diverse settings, ensuring broader applicability. Future research should consider a comprehensive range of variables to fully harness the utility of this period as a metric for healthcare excellence.
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Affiliation(s)
- Hassan Farhat
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar.
- Faculty of Sciences, University of Sfax, 3000, Sfax, Tunisia.
- Faculty of Medicine 'Ibn El Jazzar', University of Sousse, 4000, Sousse, Tunisia.
| | - Ahmed Makhlouf
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
- College of Engineering, Qatar University, Doha, Qatar
| | - Padarath Gangaram
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
- Faculty of Health Sciences, Durban University of Technology, PO Box 1334, Durban, 4000, South Africa
| | - Kawther El Aifa
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | | | - Ian Howland
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Cyrine Abid
- Laboratory of Screening Cellular and Molecular Process, Centre of Biotechnology of Sfax, University of Sfax, Sfax, Tunisia
| | - Andre Jones
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Ian Howard
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Nicholas Castle
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Loua Al Shaikh
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Moncef Khadhraoui
- Higher Institute of Biotechnology, University of Sfax, Sfax, Tunisia
| | - Imed Gargouri
- Faculty of Medicine, University of Sfax, Sfax, Tunisia
| | - James Laughton
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
| | - Guillaume Alinier
- Ambulance Service, Hamad Medical Corporation, PO Box 3050, Doha, Qatar
- University of Hertfordshire, Hatfield, UK
- Weill Cornell Medicine-Qatar, Doha, Qatar
- Northumbria University, Newcastle Upon Tyne, UK
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Bloom JE, Nehme E, Paratz ED, Dawson L, Nelson AJ, Ball J, Eliakundu A, Voskoboinik A, Anderson D, Bernard S, Burrell A, Udy AA, Pilcher D, Cox S, Chan W, Mihalopoulos C, Kaye D, Nehme Z, Stub D. Healthcare and economic cost burden of emergency medical services treated non-traumatic shock using a population-based cohort in Victoria, Australia. BMJ Open 2024; 14:e078435. [PMID: 38684259 PMCID: PMC11057314 DOI: 10.1136/bmjopen-2023-078435] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Accepted: 04/02/2024] [Indexed: 05/02/2024] Open
Abstract
OBJECTIVES We aimed to assess the healthcare costs and impact on the economy at large arising from emergency medical services (EMS) treated non-traumatic shock. DESIGN We conducted a population-based cohort study, where EMS-treated patients were individually linked to hospital-wide and state-wide administrative datasets. Direct healthcare costs (Australian dollars, AUD) were estimated for each element of care using a casemix funding method. The impact on productivity was assessed using a Markov state-transition model with a 3-year horizon. SETTING Patients older than 18 years of age with shock not related to trauma who received care by EMS (1 January 2015-30 June 2019) in Victoria, Australia were included in the analysis. PRIMARY AND SECONDARY OUTCOME MEASURES The primary outcome assessed was the total healthcare expenditure. Secondary outcomes included healthcare expenditure stratified by shock aetiology, years of life lived (YLL), productivity-adjusted life-years (PALYs) and productivity losses. RESULTS A total of 21 334 patients (mean age 65.9 (±19.1) years, and 9641 (45.2%) females were treated by EMS with non-traumatic shock with an average healthcare-related cost of $A11 031 per episode of care and total cost of $A280 million. Annual costs remained stable throughout the study period, but average costs per episode of care increased (Ptrend=0.05). Among patients who survived to hospital, the average cost per episode of care was stratified by aetiology with cardiogenic shock costing $A24 382, $A21 254 for septic shock, $A19 915 for hypovolaemic shock and $A28 057 for obstructive shock. Modelling demonstrated that over a 3-year horizon the cohort lost 24 355 YLLs and 5059 PALYs. Lost human capital due to premature mortality led to productivity-related losses of $A374 million. When extrapolated to the entire Australian population, productivity losses approached $A1.5 billion ($A326 million annually). CONCLUSION The direct healthcare costs and indirect loss of productivity among patients with non-traumatic shock are high. Targeted public health measures that seek to reduce the incidence of shock and improve systems of care are needed to reduce the financial burden of this syndrome.
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Affiliation(s)
- Jason E Bloom
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
- Department of Cardiology, Alfred Health, Melbourne, Victoria, Australia
| | - Emily Nehme
- Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | | | - Luke Dawson
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
| | - Adam J Nelson
- Victorian Heart Institute, Clayton, North Carolina, Australia
| | - Jocasta Ball
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
| | - Amminadab Eliakundu
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
| | - Aleksandr Voskoboinik
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Cardiology, Alfred Health, Melbourne, Victoria, Australia
| | - David Anderson
- Ambulance Victoria, Doncaster, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | | | | | - Andrew A Udy
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
| | | | - Shelley Cox
- Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | - William Chan
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Alfred Health, Melbourne, Victoria, Australia
- Western Health, St Albans, Victoria, Australia
| | | | - David Kaye
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
- Department of Cardiology, Alfred Health, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Research & Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | - Dion Stub
- Monash University School of Public Health and Preventive Medicine, Melbourne, Victoria, Australia
- Department of Cardiology, Alfred Health, Melbourne, Victoria, Australia
- Ambulance Victoria, Doncaster, Victoria, Australia
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8
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Wekre SL, Uleberg O, Næss LE, Haugland H. Mortality rates in Norwegian HEMS-a retrospective analysis from Central Norway. Scand J Trauma Resusc Emerg Med 2024; 32:29. [PMID: 38627817 PMCID: PMC11022357 DOI: 10.1186/s13049-024-01202-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/18/2024] [Accepted: 04/04/2024] [Indexed: 04/19/2024] Open
Abstract
BACKGROUND Helicopter Emergency Medical Services (HEMS) provide rapid and specialized care to critically ill or injured patients. Norwegian HEMS in Central Norway serves an important role in pre-hospital emergency medical care. To grade the severity of patients, HEMS uses the National Advisory Committee for Aeronautics' (NACA) severity score. The objective of this study was to describe the short- and long term mortality overall and in each NACA-group for patients transported by HEMS Trondheim using linkage of HEMS and hospital data. METHODS The study used a retrospective cohort design, aligning with the STROBE recommendations. Patient data from Trondheim HEMS between 01.01.2017 and 31.12.2019 was linked to mortality data from a hospital database and analyzed. Kaplan Meier plots and cumulative mortality rates were calculated for each NACA group at day one, day 30, and one year and three years after the incident. RESULTS Trondheim HEMS responded to 2224 alarms in the included time period, with 1431 patients meeting inclusion criteria for the study. Overall mortality rates at respective time points were 10.1% at day one, 13.4% at 30 days, 18.5% at one year, and 22.3% at three years. The one-year cumulative mortality rates for each NACA group were as follows: 0% for NACA 1 and 2, 2.9% for NACA 3, 10.1% for NACA 4, 24.7% for NACA 5 and 49.5% for NACA 6. Statistical analysis with a global log-rank test indicated a significant difference in survival outcomes among the groups (p < 2⋅10- 16). CONCLUSION Among patients transported by Trondheim HEMS, we observed an incremental rise in mortality rates with increasing NACA scores. The study further suggests that a one-year follow-up may be sufficient for future investigations into HEMS outcomes.
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Affiliation(s)
- Stian Lande Wekre
- Norwegian University of Science and Technology (NTNU), Trondheim, NO-7018, Norway.
| | - Oddvar Uleberg
- Department of Emergency Medicine and Pre-Hospital Services, St. Olav's University Hospital, Trondheim, Norway
- Department of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, Norway
| | - Lars Eide Næss
- Department of Emergency Medicine and Pre-Hospital Services, St. Olav's University Hospital, Trondheim, Norway
- Department of Research and Development, Norwegian Air Ambulance Foundation, Oslo, Norway
| | - Helge Haugland
- Department of Emergency Medicine and Pre-Hospital Services, St. Olav's University Hospital, Trondheim, Norway
- Department of Research and Development, Norwegian Air Ambulance Foundation, Oslo, Norway
- Department of Circulation and Medical Imaging, Faculty of Medicine and Health Sciences, Norwegian University of Science and Technology, Trondheim, Norway
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9
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Delardes B, Nehme E, Bowles KA, Chakraborty S, Cox S, Smith K. Characteristics and Outcomes of Patients Referred to a General Practitioner by Victorian Paramedics. PREHOSP EMERG CARE 2024; 28:1027-1036. [PMID: 38451214 DOI: 10.1080/10903127.2024.2326601] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/30/2023] [Revised: 02/16/2024] [Accepted: 02/19/2024] [Indexed: 03/08/2024]
Abstract
OBJECTIVE Many patients who are attended by paramedics do not require conveyance to an emergency department (ED). Our study focuses on comparing the characteristics and outcomes of patients who were advised to follow up with a general practitioner (GP) by an attending paramedic with those of patients who were discharged at scene or transported to hospital. METHODS This was a retrospective data linkage cohort study of ambulance, ED, hospital admission, and death records for all adults attended by paramedics in Victoria, Australia between the 1st of January 2015 and 30th of June 2019. Patients were excluded if they presented in cardiac arrest, resided in a residential aged care facility, or were receiving palliative care services. Outcomes of interest included reattendance by ambulance, ED presentation; and, a high acuity outcome which we defined as a patient who (1) presented to ED and received an Australasian Triage Scale of category 1 (Resuscitation) or 2 (Emergency) AND was admitted to a ward OR (2) was admitted to an Intensive Care Unit, Coronary Care Unit or Catheter laboratory (regardless of triage category) OR (3) died. Outcomes of interest were considered within 48-h of initial EMS attendance. RESULTS A total of 1,777,950 cases were included in the study of which 3.1% were referred to a GP, 9.0% were discharged at scene without a follow-up recommendation, and 87.9% were transported to hospital. Patients referred to a GP were more likely than those discharged at scene to subsequently present to an ED within 48 h of their attendance (5.3% vs 3.8%). However, GP referral was not associated with any change to high acuity outcome (0.3% vs 0.2%) or ambulance reattendance (6.0% vs 6.0%) compared to discharge at scene. The only factors that were associated with ambulance reattendance, ED presentation, and a high acuity outcome were male gender and elevated temperature. CONCLUSIONS Despite increasing low and medium-acuity casework in this EMS system, paramedic referral to a GP is not common practice. Referring a patient to a GP did not reduce the likelihood of patients experiencing a high acuity outcome or recalling an ambulance within 48 h, suggesting opportunity exists to refine paramedic to GP referral practices.
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Affiliation(s)
- Belinda Delardes
- The Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Paramedicine, Monash University, Frankston, Victoria, Australia
| | - Emily Nehme
- The Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Kelly-Ann Bowles
- Department of Paramedicine, Monash University, Frankston, Victoria, Australia
| | - Samantha Chakraborty
- Department of General Practice, Monash University, Melbourne, Victoria, Australia
| | - Shelley Cox
- The Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Karen Smith
- Department of Paramedicine, Monash University, Frankston, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
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10
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Zhou J, Nehme E, Dawson L, Bloom J, Smallwood N, Okyere D, Cox S, Anderson D, Smith K, Stub D, Nehme Z, Kaye D. Impact of socioeconomic status on presentation, care quality and outcomes of patients attended by emergency medical services for dyspnoea: a population-based cohort study. J Epidemiol Community Health 2024; 78:255-262. [PMID: 38228390 DOI: 10.1136/jech-2023-220737] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024]
Abstract
BACKGROUND Low socioeconomic status (SES) has been linked to poor outcomes in many conditions. It is unknown whether these disparities extend to individuals presenting with dyspnoea. We aimed to evaluate the relationship between SES and incidence, care quality and outcomes among patients attended by emergency medical services (EMS) for dyspnoea. METHODS This population-based cohort study included consecutive patients attended by EMS for dyspnoea between 1 January 2015 and 30 June 2019 in Victoria, Australia. Data were obtained from individually linked ambulance, hospital and mortality datasets. Patients were stratified into SES quintiles using a composite census-derived index. RESULTS A total of 262 412 patients were included. There was a stepwise increase in the age-adjusted incidence of EMS attendance for dyspnoea with increasing socioeconomic disadvantage (lowest SES quintile 2269 versus highest quintile 889 per 100 000 person years, ptrend<0.001). Patients of lower SES were younger and more comorbid, more likely to be from regional Victoria or of Aboriginal or Torres Strait Islander heritage and had higher rates of respiratory distress. Despite this, lower SES groups were less frequently assigned a high acuity EMS transport or emergency department (ED) triage category and less frequently transported to tertiary centres or hospitals with intensive care unit facilities. In multivariable models, lower SES was independently associated with lower acuity EMS and ED triage, ED length of stay>4 hours and increased 30-day EMS reattendance and mortality. CONCLUSION Lower SES was associated with a higher incidence of EMS attendances for dyspnoea and disparities in several metrics of care and clinical outcomes.
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Affiliation(s)
- Jennifer Zhou
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
| | - Emily Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Luke Dawson
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jason Bloom
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Natasha Smallwood
- Respiratory Medicine, Alfred Hospital, Melbourne, Victoria, Australia
| | - Daniel Okyere
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
| | - Shelley Cox
- Ambulance Victoria, Doncaster, Victoria, Australia
| | - David Anderson
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Intensive Care Unit, Alfred Hospital, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
- Silverchain Group, Melbourne, Victoria, Australia
| | - Dion Stub
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Centre for Research & Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - David Kaye
- Cardiology, Alfred Hospital, Melbourne, Victoria, Australia
- Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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11
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Bloom JE, Wong N, Nehme E, Dawson LP, Ball J, Anderson D, Cox S, Chan W, Kaye DM, Nehme Z, Stub D. Association of socioeconomic status in the incidence, quality-of-care metrics, and outcomes for patients with cardiogenic shock in a pre-hospital setting. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2024; 10:89-98. [PMID: 36808236 DOI: 10.1093/ehjqcco/qcad010] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/22/2022] [Revised: 01/23/2023] [Accepted: 02/04/2023] [Indexed: 02/19/2023]
Abstract
AIMS The relationship between lower socioeconomic status (SES) and poor cardiovascular outcomes is well described; however, there exists a paucity of data exploring this association in cardiogenic shock (CS). This study aimed to investigate whether any disparities exist between SES and the incidence, quality of care or outcomes of CS patients attended by emergency medical services (EMS). METHODS AND RESULTS This population-based cohort study included consecutive patients transported by EMS with CS between 1 January 2015 and 30 June 2019 in Victoria, Australia. Data were collected from individually linked ambulance, hospital, and mortality datasets. Patients were stratified into SES quintiles using national census data produced by the Australian Bureau of Statistics.A total of 2628 patients were attended by EMS for CS. The age-standardized incidence of CS amongst all patients was 11.8 [95% confidence interval (95% CI), 11.4-12.3] per 100 000 person-years, with a stepwise increase from the highest to lowest SES quintile (lowest quintile 17.0 vs. highest quintile 9.7 per 100 000 person-years, P-trend < 0.001). Patients in lower SES quintiles were less likely to attend metropolitan hospitals and more likely to be received by inner regional and remote centres without revascularization capabilities. A greater proportion of the lower SES groups presented with CS due to non-ST elevation myocardial infarction (NSTEMI) or unstable angina pectoris (UAP), and overall were less likely to undergo coronary angiography. Multivariable analysis demonstrated an increased 30-day all-cause mortality rate in the lowest three SES quintiles when compared with the highest quintile. CONCLUSION This population-based study demonstrated discrepancies between SES status in the incidence, care metrics, and mortality rates of patients presenting to EMS with CS. These findings outline the challenges in equitable healthcare delivery within this cohort.
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Affiliation(s)
- Jason E Bloom
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Nathan Wong
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
| | - Emily Nehme
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Luke P Dawson
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - Jocasta Ball
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - David Anderson
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
- Department of Paramedicine, Monash University, McMahons Road, Frankston, VIC 3199, Australia
- Department of Intensive Care, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
| | - Shelley Cox
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
| | - William Chan
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - David M Kaye
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
| | - Ziad Nehme
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
- Department of Paramedicine, Monash University, McMahons Road, Frankston, VIC 3199, Australia
| | - Dion Stub
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, VIC 3004, Australia
- Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, VIC 3004, Australia
- Department of Research and Evaluation, Ambulance Victoria, 31 Joseph Street, Blackburn, VIC 3130, Australia
- School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, VIC 3004, Australia
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12
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Dawson LP, Andrew E, Nehme Z, Bloom J, Okyere D, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Smith K, Stub D. Risk-standardized mortality metric to monitor hospital performance for chest pain presentations. EUROPEAN HEART JOURNAL. QUALITY OF CARE & CLINICAL OUTCOMES 2023; 9:583-591. [PMID: 36195327 DOI: 10.1093/ehjqcco/qcac062] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/08/2022] [Revised: 07/10/2022] [Accepted: 09/29/2022] [Indexed: 09/13/2023]
Abstract
AIMS Risk-standardized mortality rates (RSMR) have been used to monitor hospital performance in procedural and disease-based registries, but limitations include the potential to promote risk-averse clinician decisions and a lack of assessment of the whole patient journey. We aimed to determine whether it is feasible to use RSMR at the symptom-level to monitor hospital performance using routinely collected, linked, clinical and administrative data of chest pain presentations. METHODS AND RESULTS We included 192 978 consecutive adult patients (mean age 62 years; 51% female) with acute chest pain without ST-elevation brought via emergency medical services (EMS) to 53 emergency departments in Victoria, Australia (1/1/2015-30/6/2019). From 32 candidate variables, a risk-adjusted logistic regression model for 30-day mortality (C-statistic 0.899) was developed, with excellent calibration in the full cohort and with optimism-adjusted bootstrap internal validation. Annual 30-day RSMR was calculated by dividing each hospital's observed mortality by the expected mortality rate and multiplying it by the annual mean 30-day mortality rate. Hospital performance according to annual 30-day RSMR was lower for outer regional or remote locations and at hospitals without revascularisation capabilities. Hospital rates of angiography or transfer for patients diagnosed with non-ST elevation myocardial infarction (NSTEMI) correlated with annual 30-day RSMR, but no correlations were observed with other existing key performance indicators. CONCLUSION Annual hospital 30-day RSMR can be feasibly calculated at the symptom-level using routinely collected, linked clinical, and administrative data. This outcome-based metric appears to provide additional information for monitoring hospital performance in comparison with existing process of care key performance measures.
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Affiliation(s)
- Luke P Dawson
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Department of Cardiology, The Royal Melbourne Hospital, Melbourne, VIC 3050, Australia
| | - Emily Andrew
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - Ziad Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Jason Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
| | - Daniel Okyere
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - Shelley Cox
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
| | - David Anderson
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Intensive Care Medicine, The Alfred Hospital, Melbourne, VIC 3004, Australia
| | - Michael Stephenson
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Jeffrey Lefkovits
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Department of Cardiology, The Royal Melbourne Hospital, Melbourne, VIC 3050, Australia
| | - Andrew J Taylor
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Medicine, Monash University, Melbourne, VIC 3800, Australia
| | - David Kaye
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Centre for Research & Evaluation, Ambulance Victoria, Melbourne, VIC 3130, Australia
- Department of Paramedicine, Monash University, Melbourne, VIC 3199, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, VIC 3004, Australia
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, VIC 3004, Australia
- Heart Failure Research Group, The Baker Institute, Melbourne, VIC 3004, Australia
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13
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Dailey MW, Hayashi W. "EMS Electronic Health Records - An Opportunity for Integration to Improve Care" Commentary on Kamta et al. PREHOSP EMERG CARE 2023; 28:513-514. [PMID: 37478004 DOI: 10.1080/10903127.2023.2234995] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/05/2023] [Accepted: 07/06/2023] [Indexed: 07/23/2023]
Affiliation(s)
| | - Warren Hayashi
- Department of Emergency Medicine, Albany Medical College
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14
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Navani RV, Dawson LP, Nehme E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Smith K, Stub D. Variation in Health Care Processes, Quality and Outcomes According to Day and Time of Chest Pain Presentation via Ambulance. Heart Lung Circ 2023:S1443-9506(23)00150-6. [PMID: 37100698 DOI: 10.1016/j.hlc.2023.03.013] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2022] [Revised: 03/15/2023] [Accepted: 03/26/2023] [Indexed: 04/28/2023]
Abstract
BACKGROUND Previous studies examining temporal variations in cardiovascular care have largely been limited to assessing weekend and after-hours effects. We aimed to determine whether more complex temporal variation patterns might exist in chest pain care. METHODS This was a population-based study of consecutive adult patients attended by emergency medical services (EMS) for non-traumatic chest pain without ST elevation in Victoria, Australia between 1 January 2015 and 30 June 2019. Multivariable models were used to assess whether time of day and week stratified into 168 hourly time periods was associated with care processes and outcomes. RESULTS There were 196,365 EMS chest pain attendances; mean age 62.4 years (standard deviation [SD] 18.3) and 51% females. Presentations demonstrated a diurnal pattern, a Monday-Sunday gradient (Monday peak) and a reverse weekend effect (lower rates on weekends). Five temporal patterns were observed for care quality and process measures, including a diurnal pattern (longer emergency department [ED] length of stay), an after-hours pattern (lower angiography or transfer for myocardial infarction, pre-hospital aspirin administration), a weekend effect (shorter ED clinician review, shorter EMS off-load time), an afternoon/evening peak period pattern (longer ED clinician review, longer EMS off-load time) and a Monday-Sunday gradient (ED clinician review, EMS offload time). Risk of 30-day mortality was associated with weekend presentation (Odds ratio [OR] 1.15, p=0.001) and morning presentation (OR 1.17, p<0.001) while risk of 30-day EMS reattendance was associated with peak period (OR 1.16, p<0.001) and weekend presentation (OR 1.07, p<0.001). CONCLUSIONS Chest pain care demonstrates complex temporal variation beyond the already established weekend and after-hours effect. Such relationships should be considered during resource allocation and quality improvement programs to improve care across all days and times of the week.
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Affiliation(s)
- Rohan V Navani
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia. http://www.twitter.com/RohanNavani
| | - Luke P Dawson
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - Emily Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia
| | - Ziad Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia; Department of Paramedicine, Monash University, Melbourne, Vic, Australia
| | - Jason Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia; The Baker Institute, Melbourne, Vic, Australia
| | - Shelley Cox
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia
| | - David Anderson
- Ambulance Victoria, Melbourne, Vic, Australia; Department of Intensive Care Medicine, The Alfred Hospital, Melbourne, Vic, Australia
| | - Michael Stephenson
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia; Department of Paramedicine, Monash University, Melbourne, Vic, Australia
| | - Jeffrey Lefkovits
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Vic, Australia
| | - Andrew J Taylor
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia; Department of Medicine, Monash University, Melbourne, Vic, Australia
| | - David Kaye
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia; The Baker Institute, Melbourne, Vic, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia; Department of Paramedicine, Monash University, Melbourne, Vic, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, Vic, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Vic, Australia; Ambulance Victoria, Melbourne, Vic, Australia; The Baker Institute, Melbourne, Vic, Australia.
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15
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Dawson L, Nehme E, Nehme Z, Zomer E, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor A, Kaye D, Cullen L, Smith K, Stub D. Healthcare cost burden of acute chest pain presentations. Emerg Med J 2023; 40:437-443. [PMID: 36918268 DOI: 10.1136/emermed-2022-212674] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 02/19/2023] [Indexed: 03/16/2023]
Abstract
BACKGROUND This study aimed to estimate the direct healthcare cost burden of acute chest pain attendances presenting to ambulance in Victoria, Australia, and to identify key cost drivers especially among low-risk patients. METHODS State-wide population-based cohort study of consecutive adult patients attended by ambulance for acute chest pain with individual linkage to emergency and hospital admission data in Victoria, Australia (1 January 2015-30 June 2019). Direct healthcare costs, adjusted for inflation to 2020-2021 ($A), were estimated for each component of care using a casemix funding method. RESULTS From 241 627 ambulance attendances for chest pain during the study period, mean chest pain episode cost was $6284, and total annual costs were estimated at $337.4 million ($68 per capita per annum). Total annual costs increased across the period ($310.5 million in 2015 vs $384.5 million in 2019), while mean episode costs remained stable. Cardiovascular conditions (25% of presentations) were the most expensive (mean $11 523, total annual $148.7 million), while a non-specific pain diagnosis (49% of presentations) was the least expensive (mean $3836, total annual $93.4 million). Patients classified as being at low risk of myocardial infarction, mortality or hospital admission (Early Chest pain Admission, Myocardial infarction, and Mortality (ECAMM) score) represented 31%-57% of the cohort, with total annual costs estimated at $60.6 million-$135.4 million, depending on the score cut-off used. CONCLUSIONS Total annual costs for acute chest pain presentations are increasing, and a significant proportion of the cost burden relates to low-risk patients and non-specific pain. These data highlight the need to improve the cost-efficiency of chest pain care pathways.
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Affiliation(s)
- Luke Dawson
- Department of Cardiology, Alfred Hospital, Prahran, Victoria, Australia .,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Emily Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia
| | - Ziad Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia
| | - Ella Zomer
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Jason Bloom
- Department of Cardiology, Alfred Hospital, Prahran, Victoria, Australia.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Shelley Cox
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia
| | - David Anderson
- Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia.,Intensive Care and Hyperbaric Medicine, Alfred Health, Melbourne, Victoria, Australia
| | - Michael Stephenson
- Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia
| | - Jeffrey Lefkovits
- Department of Cardiology, Melbourne Health, Parkville, Victoria, Australia
| | - Andrew Taylor
- Department of Cardiology, Alfred Hospital, Prahran, Victoria, Australia.,Department of Medicine, Monash University, Melbourne, Victoria, Australia
| | - David Kaye
- Department of Cardiology, Alfred Hospital, Prahran, Victoria, Australia.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
| | - Louise Cullen
- Emergency and Trauma Centre, Royal Brisbane and Women's Hospital, Brisbane, Queensland, Australia
| | - Karen Smith
- Research and Evaluation, Ambulance Victoria, Blackburn North, Victoria, Australia
| | - Dion Stub
- Department of Cardiology, Alfred Hospital, Prahran, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.,Baker Heart and Diabetes Institute, Melbourne, Victoria, Australia
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16
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Zhou J, Nehme E, Dawson L, Bloom J, Nehme Z, Okyere D, Cox S, Anderson D, Stephenson M, Smith K, Kaye DM, Stub D. Epidemiology, outcomes and predictors of mortality in patients transported by ambulance for dyspnoea: A population-based cohort study. Emerg Med Australas 2023; 35:48-55. [PMID: 35918062 PMCID: PMC10947453 DOI: 10.1111/1742-6723.14053] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/19/2022] [Revised: 07/11/2022] [Accepted: 07/17/2022] [Indexed: 01/19/2023]
Abstract
OBJECTIVES There are currently limited data to inform the management of patients transported by emergency medical services (EMS) with dyspnoea. We aimed to describe the incidence, aetiology and outcomes of patients transported by EMS for dyspnoea using a large population-based sample and to identify factors associated with 30-day mortality. METHODS Consecutive EMS attendances for dyspnoea in Victoria, Australia from January 2015 to June 2019 were included. Data were individually linked to hospital and mortality records to determine incidence, diagnoses, and outcomes. Factors associated with 30-day mortality were assessed using multivariable logistic regression. RESULTS During the study period, there were 2 505 324 cases attended by EMS, of whom 346 228 (14%) met inclusion criteria for dyspnoea. The incidence of EMS attendances for dyspnoea was 1566 per 100 000 person-years, and was higher in females, older patients and socially disadvantaged areas. Of the 271 204 successfully linked cases (median age 76 years; 51% women), 79% required hospital admission with a 30-day mortality of 9%. The most common final diagnoses (and 30-day mortality rates) were lower respiratory tract infection (13%, mortality 11%), chronic obstructive pulmonary disease (13%, mortality 6.4%), heart failure (9.1%, mortality 9.8%), arrhythmias (3.9%, mortality 4.4%), acute coronary syndromes (3.9%, mortality 9.5%) and asthma (3.2%, mortality 0.5%). Predictors of mortality included older age, male sex, pre-existing chronic kidney disease, heart failure or cancer, abnormal respiratory status or vital signs and pre-hospital intubation. CONCLUSION Dyspnoea is a common presentation with a broad range of causes and is associated with high rates of hospitalisation and death.
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Affiliation(s)
- Jennifer Zhou
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Ambulance VictoriaMelbourneVictoriaAustralia
| | - Emily Nehme
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Luke Dawson
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Jason Bloom
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
| | - Ziad Nehme
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of ParamedicineMonash UniversityMelbourneVictoriaAustralia
| | | | - Shelley Cox
- Ambulance VictoriaMelbourneVictoriaAustralia
| | - David Anderson
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Ambulance VictoriaMelbourneVictoriaAustralia
| | - Michael Stephenson
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of ParamedicineMonash UniversityMelbourneVictoriaAustralia
| | - Karen Smith
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
- Department of ParamedicineMonash UniversityMelbourneVictoriaAustralia
| | - David M Kaye
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Baker Heart and Diabetes InstituteMelbourneVictoriaAustralia
| | - Dion Stub
- Department of CardiologyAlfred HealthMelbourneVictoriaAustralia
- Ambulance VictoriaMelbourneVictoriaAustralia
- School of Public Health and Preventive MedicineMonash UniversityMelbourneVictoriaAustralia
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17
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Xiao X, Bloom JE, Andrew E, Dawson LP, Nehme Z, Stephenson M, Anderson D, Fernando H, Noaman S, Cox S, Chan W, Kaye DM, Smith K, Stub D. Age as a predictor of clinical outcomes and determinant of therapeutic measures for emergency medical services treated cardiogenic shock. J Geriatr Cardiol 2023; 20:1-10. [PMID: 36875161 PMCID: PMC9975487 DOI: 10.26599/1671-5411.2023.01.004] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/07/2023] Open
Abstract
BACKGROUND The impact of age on outcomes in cardiogenic shock (CS) is poorly described in the pre-hospital setting. We assessed the impact of age on outcomes of patients treated by emergency medical services (EMS). METHODS This population-based cohort study included consecutive adult patients with CS transported to hospital by EMS. Successfully linked patients were stratified into tertiles by age (18-63, 64-77, and > 77 years). Predictors of 30-day mortality were assessed through regression analyses. The primary outcome was 30-day all-cause mortality. RESULTS A total of 3523 patients with CS were successfully linked to state health records. The average age was 68 ± 16 years and 1398 (40%) were female. Older patients were more likely to have comorbidities including pre-existing coronary artery disease, hypertension, dyslipidemia, diabetes mellitus, and cerebrovascular disease. The incidence of CS was significantly greater with increasing age (incidence rate per 100,000 person years 6.47 [95% CI: 6.1-6.8] in age 18-63 years, 34.34 [32.4-36.4] in age 64-77 years, 74.87 [70.6-79.3] in age > 77 years, P < 0.001). There was a step-wise increase in the rate of 30-day mortality with increasing age tertile. After adjustment, compared to the lowest age tertile, patients aged > 77 years had increased risk of 30-day mortality (adjusted hazard ratio = 2.26 [95% CI: 1.96-2.60]). Older patients were less likely to receive inpatient coronary angiography. CONCLUSION Older patients with EMS-treated CS have significantly higher rates of short-term mortality. The reduced rates of invasive interventions in older patients underscore the need for further development of systems of care to improve outcomes for this patient group.
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Affiliation(s)
- Xiaoman Xiao
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia
| | - Jason E Bloom
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Australia.,Department of Cardiology, Western Health, Furlong Road, St Albans, Australia.,Ambulance Victoria, 31 Joseph Street, Blackburn, Australia
| | - Emily Andrew
- Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia
| | - Luke P Dawson
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia
| | - Ziad Nehme
- Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia.,Department of Paramedicine, Monash University, McMahons Road, Frankston, Australia
| | - Michael Stephenson
- Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia.,Department of Paramedicine, Monash University, McMahons Road, Frankston, Australia
| | - David Anderson
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Ambulance Victoria, 31 Joseph Street, Blackburn, Australia
| | - Himawan Fernando
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Australia
| | - Samer Noaman
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Department of Cardiology, Western Health, Furlong Road, St Albans, Australia
| | - Shelley Cox
- Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia
| | - William Chan
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Department of Cardiology, Western Health, Furlong Road, St Albans, Australia
| | - David M Kaye
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Baker Heart and Diabetes Institute, 75 Commercial Road, Melbourne, Australia
| | - Karen Smith
- Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia.,Department of Paramedicine, Monash University, McMahons Road, Frankston, Australia
| | - Dion Stub
- Department of Cardiology, Alfred Health, 55 Commercial Road, Melbourne, Australia.,Department of Cardiology, Western Health, Furlong Road, St Albans, Australia.,Ambulance Victoria, 31 Joseph Street, Blackburn, Australia.,School of Public Health and Preventive Medicine, Monash University, 553 St Kilda Road, Melbourne, Australia
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18
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Nehme E, Nehme Z, Cox S, Smith K. Outcomes of paediatric patients who are not transported to hospital by Emergency Medical Services: a data linkage study. J Accid Emerg Med 2023; 40:12-19. [PMID: 36202623 DOI: 10.1136/emermed-2022-212350] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/24/2022] [Accepted: 09/24/2022] [Indexed: 01/10/2023]
Abstract
BACKGROUND Data on the safety of non-transport decisions for paediatric patients attended by Emergency Medical Services (EMS) are lacking. We describe the characteristics and outcomes of paediatric non-transported patients in Victoria, Australia. METHODS A retrospective data linkage study of consecutive paediatric (aged <18 years) non-transported patients between January 2015 and June 2019. Patients were linked to ED, hospital admission and death records. Multivariable logistic regression analyses were used to determine factors associated with EMS recontact, ED presentation, hospital admission and an adverse event (death/cardiac arrest, intensive care unit admission or highest ED triage category) within 48 hours of the initial emergency call. RESULTS In total, 62 975 non-transported patients were included. The mean age was 7.1 (SD 6.0) years and 48.9% were male. Overall, 2.2% recontacted the EMS within 48 hours, 13.7% self-presented to a public ED, 2.4% were admitted to hospital and 0.1% had an adverse event, including two deaths. Among patients with paramedic-initiated non-transport (excluding transport refusals and transport via other means), 5.6% presented to a public ED, 1.1% were admitted to hospital and 0.05% had an adverse event. In the overall population, an abnormal vital sign on initial assessment increased the odds of hospital admission and an adverse event. Among paramedic-initiated non-transports, cases occurring in the early hours of the morning (04:00-08:00 hours) were associated with increased odds of subsequent hospital admission, while the odds of ED presentation and hospital admission also increased with increasing prior exposure to non-transported cases. CONCLUSION Adverse events were rare among paramedic-initiated non-transport cases. Vital sign derangements and attendance by paramedics with higher prior exposure to non-transports were associated with poorer outcomes and may be used to improve safety.
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Affiliation(s)
- Emily Nehme
- Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia .,Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Ziad Nehme
- Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Department of Paramedicine, Monash University, Clayton, Victoria, Australia
| | - Shelley Cox
- Centre for Research and Evaluation, Ambulance Victoria, Doncaster, Victoria, Australia.,Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Clayton, Victoria, Australia.,Department of Paramedicine, Monash University, Clayton, Victoria, Australia
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19
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Dawson LP, Andrew E, Nehme Z, Bloom J, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Guo Y, Smith K, Stub D. Temperature-related chest pain presentations and future projections with climate change. THE SCIENCE OF THE TOTAL ENVIRONMENT 2022; 848:157716. [PMID: 35914598 DOI: 10.1016/j.scitotenv.2022.157716] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/30/2022] [Revised: 07/13/2022] [Accepted: 07/26/2022] [Indexed: 06/15/2023]
Abstract
BACKGROUND Climate change has led to increased interest in studying adverse health effects relating to ambient temperatures. It is unclear whether incident chest pain is associated with non-optimal temperatures and how chest pain presentation rates might be affected by climate change. METHODS The study included ambulance data of chest pain presentations in Melbourne, Australia from 1/1/2015 to 30/6/2019 with linkage to hospital and emergency discharge diagnosis data. A time series quasi-Poisson regression with a distributed lag nonlinear model was fitted to assess the temperature-chest pain presentation associations overall and according to age, sex, socioeconomic status, and event location subgroups, with adjustment for season, day of the week and long-term trend. Future excess chest pain presentations associated with cold and heat were projected under six general circulation models under medium and high emission scenarios. RESULTS In 206,789 chest pain presentations, mean (SD) age was 61.2 (18.9) years and 50.3 % were female. Significant heat- and cold-related increased risk of chest pain presentations were observed for mean air temperatures above and below 20.8 °C, respectively. Excess chest pain presentations related to heat were observed in all subgroups, but appeared to be attenuated for older patients (≥70 years), patients of higher socioeconomic status (SES), and patients developing chest pain at home. We projected increases in heat-related chest pain presentations with climate change under both medium- and high-emission scenarios, which are offset by decreases in chest pain presentations related to cold temperatures. CONCLUSIONS Heat- and cold- exposure appear to increase the risk of chest pain presentations, especially among younger patients and patients of lower SES. This will have important implications with climate change modelling of chest pain, in particular highlighting the importance of risk mitigation strategies to minimise adverse health impacts on hotter days.
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Affiliation(s)
- Luke P Dawson
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Emily Andrew
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia
| | - Ziad Nehme
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Jason Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; The Baker Institute, Melbourne, Victoria, Australia
| | - Shelley Cox
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia
| | - David Anderson
- Ambulance Victoria, Melbourne, Victoria, Australia; Department of Intensive Care Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Michael Stephenson
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Jeffrey Lefkovits
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Andrew J Taylor
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Department of Medicine, Monash University, Victoria, Australia
| | - David Kaye
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; The Baker Institute, Melbourne, Victoria, Australia
| | - Yuming Guo
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - Karen Smith
- School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; The Baker Institute, Melbourne, Victoria, Australia.
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20
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Dawson LP, Andrew E, Stephenson M, Nehme Z, Bloom J, Cox S, Anderson D, Lefkovits J, Taylor AJ, Kaye D, Smith K, Stub D. The influence of ambulance offload time on 30-day risks of death and re-presentation for patients with chest pain. Med J Aust 2022; 217:253-259. [PMID: 35738570 PMCID: PMC9545565 DOI: 10.5694/mja2.51613] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/25/2021] [Revised: 02/15/2022] [Accepted: 03/14/2022] [Indexed: 12/20/2022]
Abstract
OBJECTIVE To assess whether ambulance offload time influences the risks of death or ambulance re-attendance within 30 days of initial emergency department (ED) presentations by adults with non-traumatic chest pain. DESIGN, SETTING Population-based observational cohort study of consecutive presentations by adults with non-traumatic chest pain transported by ambulance to Victorian EDs, 1 January 2015 - 30 June 2019. PARTICIPANTS Adults (18 years or older) with non-traumatic chest pain, excluding patients with ST elevation myocardial infarction (pre-hospital electrocardiography) and those who were transferred between hospitals or not transported to hospital (eg, cardiac arrest or death prior to transport). MAIN OUTCOME MEASURES Primary outcome: 30-day all-cause mortality (Victorian Death Index data). SECONDARY OUTCOME Transport by ambulance with chest pain to ED within 30 days of initial ED presentation. RESULTS We included 213 544 people with chest pain transported by ambulance to EDs (mean age, 62 [SD, 18] years; 109 027 women [51%]). The median offload time increased from 21 (IQR, 15-30) minutes in 2015 to 24 (IQR, 17-37) minutes during the first half of 2019. Three offload time tertiles were defined to include approximately equal patient numbers: tertile 1 (0-17 minutes), tertile 2 (18-28 minutes), and tertile 3 (more than 28 minutes). In multivariable models, 30-day risk of death was greater for patients in tertile 3 than those in tertile 1 (adjusted rates, 1.57% v 1.29%; adjusted risk difference, 0.28 [95% CI, 0.16-0.42] percentage points), as was that of a second ambulance attendance with chest pain (adjusted rates, 9.03% v 8.15%; adjusted risk difference, 0.87 [95% CI, 0.57-1.18] percentage points). CONCLUSIONS Longer ambulance offload times are associated with greater 30-day risks of death and ambulance re-attendance for people presenting to EDs with chest pain. Improving the speed of ambulance-to-ED transfers is urgently required.
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Affiliation(s)
- Luke P Dawson
- Royal Melbourne HospitalMelbourneVIC
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Monash UniversityMelbourneVIC
| | - Emily Andrew
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Ambulance VictoriaMelbourneVIC
| | - Michael Stephenson
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Alfred HealthMelbourneVIC
| | - Ziad Nehme
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Alfred HealthMelbourneVIC
| | - Jason Bloom
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Monash UniversityMelbourneVIC
| | | | | | - Jeffrey Lefkovits
- Royal Melbourne HospitalMelbourneVIC
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
| | - Andrew J Taylor
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Monash UniversityMelbourneVIC
| | - David Kaye
- Monash UniversityMelbourneVIC
- Baker Heart Research Institute (BHRI)MelbourneVIC
| | - Karen Smith
- Ambulance VictoriaMelbourneVIC
- Alfred HealthMelbourneVIC
| | - Dion Stub
- Centre for Research and Evaluation, Ambulance VictoriaMelbourneVIC
- Monash UniversityMelbourneVIC
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21
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Bunting D, Endo T, Watt K, Daniel R, Bosley E. Mastering Linked Datasets: The Future of Emergency Health Care Research. PREHOSP EMERG CARE 2022; 27:1031-1040. [PMID: 35913099 DOI: 10.1080/10903127.2022.2108179] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/26/2022] [Accepted: 07/21/2022] [Indexed: 10/16/2022]
Abstract
Objectives: The aim of this work is to describe routine integration of prehospital emergency health records into a health master linkage file, delivering ongoing access to integrated patient treatment and outcome information for ambulance-attended patients in Queensland.Methods: The Queensland Ambulance Service (QAS) data are integrated monthly into the Queensland Health Master Linkage File (MLF) using a linkage algorithm that relies on probabilistic matches in combination with deterministic rules based on patient demographic details, date, time and facility identifiers. Each ambulance record is assigned an enduring linkage key (unique patient identifier) and further processing determines whether each record matches with a corresponding hospital emergency department, admission or death registry record. In this study, all QAS electronic ambulance report form (eARF) records from October 2016 to December 2018 where at least 1 key linkage variable was present (n = 1,771,734) were integrated into the MLF.Results: The majority of records (n = 1,456,502; 82.2%) were for transported patients, and 90.1% (n = 1,312,176) of these transports were to public hospital facilities. Of these transport records, 93.9% (n = 1,231,951) matched to emergency department (ED) records and 59.3% (n = 864,394) also linked to admitted patient records. Of ambulance non-transport records integrated into the MLF, 23.6% (n = 74,311) matched with ED records.Conclusion: This study demonstrates robust linkage methods, quality assurance processes and high linkage rates of data across the continuum of care (prehospital/emergency department/admitted patient/death) in Queensland. The resulting infrastructure provides a high-quality linked dataset that facilitates complex research and analysis to inform critical functions such as quality improvement, system evaluation and design.
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Affiliation(s)
- Denise Bunting
- Information Support, Research & Evaluation, Queensland Ambulance Service, Brisbane, Australia
| | - Taku Endo
- Queensland Health, Preventive Health Branch, Brisbane, Australia
| | - Kerrianne Watt
- Information Support, Research & Evaluation, Queensland Ambulance Service, Brisbane, Australia
- College of Public Health, Medical and Veterinary Sciences, James Cook University, Townsville, Australia
| | - Raymond Daniel
- Queensland Health, Statistical Services Branch, Brisbane, Australia
| | - Emma Bosley
- Information Support, Research & Evaluation, Queensland Ambulance Service, Brisbane, Australia
- School of Clinical Sciences, Queensland University of Technology, Brisbane, Australia
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22
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Dawson LP, Smith K, Cullen L, Nehme Z, Lefkovits J, Taylor AJ, Stub D. Care Models for Acute Chest Pain That Improve Outcomes and Efficiency. J Am Coll Cardiol 2022; 79:2333-2348. [DOI: 10.1016/j.jacc.2022.03.380] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 03/30/2022] [Accepted: 03/30/2022] [Indexed: 10/18/2022]
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23
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Dawson LP, Andrew E, Nehme Z, Bloom J, Okyere D, Cox S, Anderson D, Stephenson M, Lefkovits J, Taylor AJ, Kaye D, Smith K, Stub D. Incidence, diagnoses and outcomes of ambulance attendances for chest pain: A population-based cohort study. Ann Epidemiol 2022; 72:32-39. [PMID: 35513303 DOI: 10.1016/j.annepidem.2022.04.010] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/27/2022] [Revised: 04/26/2022] [Accepted: 04/26/2022] [Indexed: 01/09/2023]
Abstract
AIMS Non-traumatic chest pain is one of the most common reasons for calls for emergency assistance and places a significant burden on health services. This study aimed to determine age- and sex-specific incidences, diagnoses, and outcomes of patients with chest pain attended by paramedics using a large population-based sample. METHODS Consecutive emergency medical services (EMS) attendances for non-traumatic chest pain in Victoria, Australia from January 2015 to June 2019 were included. Data were individually linked to emergency, hospital admission and mortality records. RESULTS During the study period (representing 22,186,930 person-years), chest pain was the reason for contacting EMS in 257,017 of 2,736,570 attendances (9.4%). Overall incidence of chest pain attendances was 1,158 (per 100,000 person-years) with a higher incidence observed with increasing age, among females, among Aboriginal and Torres Strait Islanders, in regional settings, and in socially disadvantaged areas. The most common diagnoses were non-specific pain (46%; 30-day mortality 0.5%), non-ST elevation myocardial infarction (5.3%; mortality 1.3%), pneumonia (3.8%; mortality 3.9%), stable coronary syndromes (3.5%; mortality 0.8%), unstable angina (3.3%; mortality 1.3%), and ST-elevation myocardial infarction (2.8%; mortality 7.0%), while pulmonary embolism (0.7%; mortality 3.2%) and aortic pathologies (0.2%; mortality 22.2%) were rare. CONCLUSIONS Chest pain accounts for one in ten ambulance calls, and underlying causes are diverse, with substantial differences according to age and sex. Almost half of patients are discharged from hospital with a diagnosis of non-specific pain and low rates of mortality.
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Affiliation(s)
- Luke P Dawson
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Emily Andrew
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | - Ziad Nehme
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Jason Bloom
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Cardiology and Therapeutics Division, The Baker Institute, Melbourne, Victoria, Australia
| | - Daniel Okyere
- Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | - Shelley Cox
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia
| | - David Anderson
- Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia; Department of Intensive Care Medicine, The Alfred Hospital, Melbourne, Victoria, Australia
| | - Michael Stephenson
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Jeffrey Lefkovits
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Department of Cardiology, The Royal Melbourne Hospital, Melbourne, Victoria, Australia
| | - Andrew J Taylor
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Department of Medicine, Monash University, Victoria, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia
| | - David Kaye
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Cardiology and Therapeutics Division, The Baker Institute, Melbourne, Victoria, Australia
| | - Karen Smith
- Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Centre for Research and Evaluation, Ambulance Victoria, Melbourne, Victoria, Australia; Department of Paramedicine, Monash University, Melbourne, Victoria, Australia
| | - Dion Stub
- Department of Cardiology, The Alfred Hospital, Melbourne, Victoria, Australia; Department of Epidemiology and Preventive Medicine, Monash University, Melbourne, Victoria, Australia; Cardiology and Therapeutics Division, The Baker Institute, Melbourne, Victoria, Australia.
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