Dataset Information

Exposure to hot and cold temperatures and ambulance attendances in Brisbane, Australia: a time-series study.

ABSTRACT:

Objectives

To investigate the effect of hot and cold temperatures on ambulance attendances.

Design

An ecological time-series study.

Setting and participants

The study was conducted in Brisbane, Australia. The authors collected information on 783?935 daily ambulance attendances, along with data of associated meteorological variables and air pollutants, for the period of 2000-2007.

Outcome measures

The total number of ambulance attendances was examined, along with those related to cardiovascular, respiratory and other non-traumatic conditions. Generalised additive models were used to assess the relationship between daily mean temperature and the number of ambulance attendances.

Results

There were statistically significant relationships between mean temperature and ambulance attendances for all categories. Acute heat effects were found with a 1.17% (95% CI 0.86% to 1.48%) increase in total attendances for 1°C increase above threshold (0-1 days lag). Cold effects were delayed and longer lasting with a 1.30% (0.87% to 1.73%) increase in total attendances for a 1°C decrease below the threshold (2-15 days lag). Harvesting was observed following initial acute periods of heat effects but not for cold effects.

Conclusions

This study shows that both hot and cold temperatures led to increases in ambulance attendances for different medical conditions. Our findings support the notion that ambulance attendance records are a valid and timely source of data for use in the development of local weather/health early warning systems.

SUBMITTER: Turner LR

PROVIDER: S-EPMC3400068 | biostudies-literature | 2012

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

Exposure to hot and cold temperatures and ambulance attendances in Brisbane, Australia: a time-series study.

Turner Lyle R LR Connell Des D Tong Shilu S

BMJ open 20120707 4

<h4>Objectives</h4>To investigate the effect of hot and cold temperatures on ambulance attendances.<h4>Design</h4>An ecological time-series study.<h4>Setting and participants</h4>The study was conducted in Brisbane, Australia. The authors collected information on 783 935 daily ambulance attendances, along with data of associated meteorological variables and air pollutants, for the period of 2000-2007.<h4>Outcome measures</h4>The total number of ambulance attendances was examined, along with thos ...[more]

PMID: 22773538

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Project description:Background and aimsDespite increases in opioid prescribing and related morbidity and mortality, few studies have comprehensively documented harms across opioid types. We examined a population-wide indicator of extramedical pharmaceutical opioid-related harm to determine if the supply-adjusted rates of ambulance presentations, the severity of presentations or other attendance characteristics differed by opioid type.DesignRetrospective observational study of coded ambulance patient care records related to extramedical pharmaceutical opioid use, January 2013 to September 2018.SettingAustralia CASES: Primary analyses used Victorian data (n = 9823), with available data from other Australian jurisdictions (n = 4338) used to determine generalizability.MeasurementsWe calculated supply-adjusted rates of attendances using Poisson regression, and used multinomial logistic regression to compare demographic, presentation severity, mental health, substance use and other characteristics of attendances associated with seven pharmaceutical opioids.FindingsIn Victoria, the highest rates of attendance [per 100?000 oral morphine equivalent mg (OME)] were for codeine (0.273/100?000) and oxycodone (0.113/100?000). The lowest rates were for fentanyl (0.019/100?000) and tapentadol (0.005/100?000). Oxycodone-naloxone rates (0.031/100 000) were lower than for oxycodone as a single ingredient (0.113/100?000). Fentanyl-related attendances were associated with the most severe characteristics, most likely to be an accidental overdose, most likely to have naloxone administered and least likely to be transferred to hospital. In contrast, codeine-related attendances were more likely to involve suicidal thoughts/behaviours, younger females and be transported to hospital. Supply-adjusted attendance rates for individual opioids were stable over time. Victorian states were broadly consistent with non-Victorian states.ConclusionsIn Australia, rates and characteristics of opioid-related harm vary by opioid type. Supply-adjusted ambulance attendance rates appear to be both stable over time and unaffected by large changes in supply.

Project description:Introduction and aimsExtramedical use of, and associated harms with pharmaceutical opioids are common. Analysis of coded ambulance clinical records provides a unique opportunity to examine a national population-level indicator of relative harms. This protocol describes an observational study with three aims: (1) to compare supply adjusted rates of pharmaceutical opioid-related ambulance attendances for buprenorphine, codeine, fentanyl, oxycodone, oxycodone-naloxone, morphine, pethidine, tramadol and tapentadol; (2) to compare presentation characteristics for these commonly used pharmaceutical opioids and (3) to describe the context surrounding ambulance presentations related to oxycodone, a widely used opioid with an established abuse liability, and tapentadol, a more recent 'atypical' opioid on the Australian market, with fewer studies that have directly examined signals of extramedical use.MethodTrained coders extract data from clinical records for ambulance presentations relating to extramedical use of commonly used pharmaceutical opioids. These data form the basis of a large, national database that captures alcohol-related and drug-related harms. Supply adjusted rates of presentations will be examined using Poisson regression. Multinomial logistic regression will be used to compare severity and other characteristics of attendances relating to different pharmaceutical opioids. Tapentadol-related and oxycodone-related cases will be qualitatively examined to understand the situationally specific contexts of the ambulance attendances outside of the characteristics captured in routinely coded variables.Ethics and disseminationEthics approval related to analysis of ambulance attendance data was obtained from the Eastern Health Human Research Ethics Committee (E122 08-09), with an amendment specific to the qualitative analysis. Findings will be submitted for peer review in 2019. The understanding of risk profiles in real-world settings is of international public health importance. The analysis and publication of findings from this national dataset of clinical records will provide one of the most nuanced analyses to date of relative harms across nine pharmaceutical opioids over a 6-year period.

Project description:BackgroundIn response to COVID-19, government-mandated health directives including widespread lockdowns were implemented. Changes in alcohol purchasing were reported, with growing concern that alcohol may be consumed as a way to cope with pandemic-associated stressors. Hitherto, there have been limited studies examining alcohol-related harms, including acute harms requiring an ambulance, and their relationship to government announcements or policies related to COVID-19.MethodsAnalyses were conducted between January and September 2020, with matched months in 2019, using Victorian data from the National Ambulance Surveillance System in Australia. Interrupted time series (ITS) models with odds ratios (OR) were used to map alcohol-related harms as a function of government policies for both metropolitan and regional areas.FindingsA total of 43,003 alcohol intoxication-related ambulance attendances occurred between January 2019 and September 2020. Attendances in the home increased in 2020 by 9% compared to matched 2019 months. The most socioeconomically advantaged cases showed the highest percentage change. ITS models showed decreased odds of alcohol-related attendances at the beginning of each COVID-19 wave in metropolitan (OR:0•77; 95%CI: 0•71-0•83; p<0•001) and regional Victoria (OR: 0•72; 95%CI: 0•67-0•79, p<0•001) separately, and increased odds following the introduction of harsher restrictions in metropolitan Melbourne (OR:1•07; 95%CI:1•01-1•11, p=0•005). A 19% increase in odds of alcohol-related harms was observed at the end of the second wave lockdown period in regional Victoria (OR:1•19; 95%CI: 1•01-1•41, p=0•004).InterpretationAlcohol-related attendances during COVID-19 restrictions showed a displacement to home settings. Changes in patterns of harms were evident in specific sociodemographic groups, and geographic regions when mapped to government health directives. This study is one of the first to investigate alcohol-related harms at the population level in response to a global pandemic.FundingCommonwealth Department of Health and Victorian Department of Health.

Project description:Extreme temperature could affect traffic crashes by influencing road safety, vehicle performance, and drivers' behavior and abilities. Studies evaluating the impacts of extreme temperatures on the risk of traffic crashes have mainly overlooked the potential role of vehicle air conditioners. The aim of this study, therefore, was to evaluate the effect of exposure to extreme cold and hot temperatures on seeking medical attention due to motorcycle crashes. The study was conducted in Iran by using medical attendance for motorcycle crashes from March 2011 to June 2017. Data on daily minimum, mean and maximum temperature (°C), relative humidity (%), wind velocity (km/h), and precipitation (mm/day) were collected. We developed semi-parametric generalized additive models following a quasi-Poisson distribution with the distributed nonlinear lag model to estimate the immediate and lagged associations (reported as relative risk [RR], and 95% confidence interval [CI]). Between March 2011 and June 2017, 36,079 medical attendances due to motorcycle road traffic crashes were recorded (15.8 ± 5.92 victims per day). In this time period, the recorded temperature ranged from -11.2 to 45.4 °C (average: 25.5 ± 11.0 °C). We found an increased risk of medical attendance for motorcycle crashes (based on maximum daily temperature) at both extremely cold (1st percentile) and hot (99th percentile) temperatures and also hot (75th percentile) temperatures, mainly during lags 0 to 3 days (e.g., RR: 1.12 [95% CI: 1.05: 1.20]; RR: 1.08 [95% CI: 1.01: 1.16]; RR: 1.20 [95% CI: 1.09: 1.32] at lag0 for extremely cold, hot, and extremely hot conditions, respectively). The risk estimates for extremely hot temperatures were larger than hot and extremely cold temperatures. We estimated that 11.01% (95% CI: 7.77:14.06) of the medical attendance for motorcycle crashes is estimated to be attributable to non-optimal temperature (using mean temperature as exposure variable). Our findings have important public health messaging, given the considerable burden associated with road traffic injury, particularly in low- and middle-income countries.

Project description:BackgroundMost of the epidemiological studies that have examined the detrimental effects of ambient hot and cold temperatures on human health have been conducted in high-income countries. In India, the limited evidence on temperature and health risks has focused mostly on the effects of heat waves and has mostly been from small scale studies. Here, we quantify heat and cold effects on mortality in India using a nationally representative study of the causes of death and daily temperature data for 2001-2013.Methods and findingsWe applied distributed-lag nonlinear models with case-crossover models to assess the effects of heat and cold on all medical causes of death for all ages from birth (n = 411,613) as well as on stroke (n = 19,753), ischaemic heart disease (IHD) (n = 40,003), and respiratory diseases (n = 23,595) among adults aged 30-69. We calculated the attributable risk fractions by mortality cause for extremely cold (0.4 to 13.8°C), moderately cold (13.8°C to cause-specific minimum mortality temperatures), moderately hot (cause-specific minimum mortality temperatures to 34.2°C), and extremely hot temperatures (34.2 to 39.7°C). We further calculated the temperature-attributable deaths using the United Nations' death estimates for India in 2015. Mortality from all medical causes, stroke, and respiratory diseases showed excess risks at moderately cold temperature and hot temperature. For all examined causes, moderately cold temperature was estimated to have higher attributable risks (6.3% [95% empirical confidence interval (eCI) 1.1 to 11.1] for all medical deaths, 27.2% [11.4 to 40.2] for stroke, 9.7% [3.7 to 15.3] for IHD, and 6.5% [3.5 to 9.2] for respiratory diseases) than extremely cold, moderately hot, and extremely hot temperatures. In 2015, 197,000 (121,000 to 259,000) deaths from stroke, IHD, and respiratory diseases at ages 30-69 years were attributable to moderately cold temperature, which was 12- and 42-fold higher than totals from extremely cold and extremely hot temperature, respectively. The main limitation of this study was the coarse spatial resolution of the temperature data, which may mask microclimate effects.ConclusionsPublic health interventions to mitigate temperature effects need to focus not only on extremely hot temperatures but also moderately cold temperatures. Future absolute totals of temperature-related deaths are likely to depend on the large absolute numbers of people exposed to both extremely hot and moderately cold temperatures. Similar large-scale and nationally representative studies are required in other low- and middle-income countries to better understand the impact of future temperature changes on cause-specific mortality.

Dataset Information

Exposure to hot and cold temperatures and ambulance attendances in Brisbane, Australia: a time-series study.

Objectives

Design

Setting and participants

Outcome measures

Results

Conclusions

Publications

Exposure to hot and cold temperatures and ambulance attendances in Brisbane, Australia: a time-series study.

Similar Datasets

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