Objective: To examine the feasibility of establishing a database on non-fatal opioid overdose in order to examine patterns and characteristics of these overdoses across Australia.
Methods: Unit record data on opioid overdose attended by ambulances were obtained from ambulance services in the five mainland States of Australia for available periods, along with information on case definition and opioid overdose management within these jurisdictions. Variables common across States were examined including the age and sex of cases attended, the time of day and day of week of the attendance, and the transportation outcome (whether the victim was left at the scene or transported to hospital).
Results: The monthly rate of non-fatal opioid overdose attended by ambulance was generally highest in Victoria (Melbourne) followed by NSW, with the rates substantially lower in the remaining States over the period January 1999 to February 2001. Non-fatal opioid overdose victims were most likely to be male in all States, with the proportion of males highest in Victoria (77%), and were aged around 28 years with ages lowest in Western Australia (m=26) and highest in NSW (m=30). Most of the attendances occurred in the afternoon/early evening and towards the later days of the working week in all States. The rates of transportation varied according to ambulance service practice across the States with around 94% of cases transported in Western Australia and around 18% and 29% of cases transported in Melbourne and NSW respectively.
Conclusions: It is feasible to establish a database of comparable data on non-fatal opioid overdoses attended by ambulances in Australia. This compilation represents a useful adjunct to existing surveillance systems on heroin (and other opioid) use and related harms.
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http://dx.doi.org/10.1111/j.1467-842x.2004.tb00049.x | DOI Listing |
Prehosp Emerg Care
January 2025
Department of Emergency Medicine, MetroHealth Medical Center, Cleveland, OH.
Objectives: Opioid-associated fatal and non-fatal overdose rates continue to rise. Prehospital overdose education and naloxone distribution (OEND) programs are attractive harm-reduction strategies, as patients who are not transported by EMS after receiving naloxone have limited access to other interventions. This narrative summary describes our experiences with prehospital implementation of evidence-based OEND practices across Ohio as part of the HEALing Communities Study (HCS).
View Article and Find Full Text PDFInj Prev
December 2024
Division of Overdose Prevention, National Center for Injury Prevention and Control, Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Background: The Centers for Disease Control and Prevention's Drug Overdose Surveillance and Epidemiology (DOSE) system captures non-fatal overdose data from health departments' emergency department (ED) and inpatient hospitalisation discharge data; however, these data have not been compared with other established state-level surveillance systems, which may lag by several years depending on the state. This analysis compared non-fatal overdose rates from DOSE discharge data with rates from the Healthcare Cost and Utilization Project (HCUP) in order to compare DOSE data against an established dataset.
Methods: DOSE discharge data case definitions (ie, International Classification of Diseases, 10th revision, Clinical Modification codes) for non-fatal unintentional/undetermined intent all drug, all opioid-involved, heroin-involved and stimulant-involved overdoses were applied to HCUP's 2018-2020 State Emergency Department Databases (SEDD) and State Inpatient Databases (SID).
Popul Health Metr
December 2024
Institute of Chronic Non-Communicable Disease Control and Prevention, Hubei Provincial Center for Disease Control and Prevention, Wuhan, Hubei, 430079, People's Republic of China.
Background: The disability weight (DW) reflects the severity of non-fatal outcomes and is an important parameter in calculating the burden of disease. However, the universality of the global, national, or subnational DWs remains controversial. This study aims to measure DWs specific to Hubei Province of China using non-parametric regression to anchor the DWs.
View Article and Find Full Text PDFSleep
December 2024
Department of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland, USA.
Study Objectives: Opioid use disorder (OUD) is a chronic, relapse-prone condition, often accompanied by sleep disturbances such as insomnia. While sleep disturbances have been implicated in negative treatment outcomes, no large-scale studies have examined the relationship between insomnia disorder and outcomes for persons completing an acute OUD treatment episode. This study assessed the association between insomnia symptoms at treatment intake, during treatment, and following acute treatment with post-treatment episode return to use, and non-fatal overdose outcomes.
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