Michael M Dinh1,2, Saartje Berendsen Russell1,3, Kendall J Bein1, Dane Chalkley1, David Muscatello4, Richard Paoloni2, Rebecca Ivers5,6. 1. Royal Prince Alfred Hospital, Sydney, New South Wales, Australia. 2. Discipline of Emergency Medicine, The University of Sydney, Sydney, New South Wales, Australia. 3. School of Nursing, The University of Sydney, Sydney, New South Wales, Australia. 4. School of Public Health and Community Medicine, University of New South Wales, Sydney, New South Wales, Australia. 5. The George Institute for Global Health, The University of Sydney, Sydney, New South Wales, Australia. 6. School of Nursing and Midwifery, Flinders University, Adelaide, South Australia, Australia.
Abstract
OBJECTIVE: This study aims to describe the general characteristics and data definitions used in a population-based data set of ED presentations in New South Wales (NSW), used to form the basis of future-trend analyses. METHODS: Retrospective analysis of the Emergency Department Data Collection registry, which provided clinical and demographic information of ED presentations across all EDs in NSW between 2010 and 2014. Presenting problems and ED diagnoses were classified using broad clinical categories including injury/musculoskeletal, respiratory, cardiovascular, ear nose and throat, and mental health. Presentations were linked by patient to allow for analysis of representations, and population data were obtained from the Australian Bureau of Statistics. RESULTS: There were 11.8 million presentations that were analysed from 150 EDs (80.6% of all EDs). The rate of ED presentations was highest in those aged 85 years and older and appears to increase across all age groups between 2010 and 2014. The most common ED diagnosis categories were injury/musculoskeletal (27.5%) followed by abdominal/gastrointestinal (12.3%), respiratory (9%) and cardiovascular (8%). Both the Systematised Nomenclature of Medicine Clinical Terms (66%) and the International Classification of Diseases (24%) were used to code ED diagnoses. CONCLUSIONS: The elderly population had the highest rate of ED attendances. The use of diverse diagnosis classifications and source information systems may present problems with further analysis. Patterns and characteristics of ED presentations in NSW were broadly consistent with those reported in other states in Australia.
OBJECTIVE: This study aims to describe the general characteristics and data definitions used in a population-based data set of ED presentations in New South Wales (NSW), used to form the basis of future-trend analyses. METHODS: Retrospective analysis of the Emergency Department Data Collection registry, which provided clinical and demographic information of ED presentations across all EDs in NSW between 2010 and 2014. Presenting problems and ED diagnoses were classified using broad clinical categories including injury/musculoskeletal, respiratory, cardiovascular, ear nose and throat, and mental health. Presentations were linked by patient to allow for analysis of representations, and population data were obtained from the Australian Bureau of Statistics. RESULTS: There were 11.8 million presentations that were analysed from 150 EDs (80.6% of all EDs). The rate of ED presentations was highest in those aged 85 years and older and appears to increase across all age groups between 2010 and 2014. The most common ED diagnosis categories were injury/musculoskeletal (27.5%) followed by abdominal/gastrointestinal (12.3%), respiratory (9%) and cardiovascular (8%). Both the Systematised Nomenclature of Medicine Clinical Terms (66%) and the International Classification of Diseases (24%) were used to code ED diagnoses. CONCLUSIONS: The elderly population had the highest rate of ED attendances. The use of diverse diagnosis classifications and source information systems may present problems with further analysis. Patterns and characteristics of ED presentations in NSW were broadly consistent with those reported in other states in Australia.
Authors: Nicola R Jones; Marian Shanahan; Timothy Dobbins; Louisa Degenhardt; Mark Montebello; Natasa Gisev; Sarah Larney Journal: Drug Alcohol Rev Date: 2019-09
Authors: Michael M Dinh; Saartje Berendsen Russell; Kendall J Bein; Kris Rogers; David Muscatello; Richard Paoloni; Jon Hayman; Dane R Chalkley; Rebecca Ivers Journal: BMC Emerg Med Date: 2016-12-03