Nitschke Monika, Tucker Graeme, Hansen Alana, Williams Susan, Zhang Ying, Bi Peng
Public Health Services, Department for Health and Ageing, Adelaide, South Australia, Australia School of Public Health, University of Adelaide, Adelaide, South Australia, Australia.
Epidemiology, Department for Health and Ageing, Adelaide, South Australia, Australia School of Medicine, University of Adelaide, Adelaide, South Australia, Australia.
BMJ Open. 2016 Jul 19;6(7):e012125. doi: 10.1136/bmjopen-2016-012125.
Heatwave warning systems aim to assist in reducing health effects during extreme heat. Evaluations of such systems have been limited. This study explored the effect of a heatwave warning programme on morbidity and mortality in Adelaide, South Australia, by comparing extreme events in 2009 and 2014, the latter with exposure to the preventive programme.
The health outcomes during the two heatwaves were compared using the incidence rate ratios (IRRs) of daily ambulance call-outs, emergency presentations and mortality data during the heatwaves compared with non-heatwave periods during the warm seasons. Excess or reduced numbers of cases were calculated and the differences in cases between the two heatwaves were estimated.
IRRs for total ambulance call-outs and emergency presentations were lower during the 2014 heatwaves compared with the 2009 event. The estimated differences in health-specific outcomes between 2009 and 2014 were statistically significant with 207 (59%) for cardiac-related call-outs, 134 (30%) for renal and 145 (56%) for heat-related emergency presentations. Mortality was not reduced in 2014. There were an estimated 34.5 excess deaths in 2009 and 38.2 in 2014.
Morbidity outcomes were reduced significantly during the 2014 event. The fact that cardiac, renal and heat-related diagnoses were significantly reduced is likely to be associated with the intervention in 2014, which comprised a public warning through media and intense preventive measures directed to individual populations at risk. Further analysis of risk factors of mortality during heatwaves should be explored.
热浪预警系统旨在帮助减少极端高温期间对健康的影响。对此类系统的评估一直很有限。本研究通过比较2009年和2014年的极端事件,探讨了热浪预警计划对南澳大利亚阿德莱德发病率和死亡率的影响,2014年的事件中实施了预防计划。
使用热浪期间每日救护车出诊、急诊就诊和死亡率数据与温暖季节非热浪期间相比的发病率比值(IRR),比较两次热浪期间的健康结果。计算病例数的超额或减少情况,并估计两次热浪之间病例数的差异。
与2009年的事件相比,2014年热浪期间总救护车出诊和急诊就诊的IRR较低。2009年和2014年特定健康结果的估计差异具有统计学意义,心脏相关出诊为207例(59%),肾脏相关出诊为134例(30%),与热相关的急诊就诊为145例(56%)。2014年死亡率没有降低。2009年估计有34.5例超额死亡,2014年有38.2例。
2014年热浪期间发病情况显著减少。心脏、肾脏和与热相关的诊断显著减少这一事实可能与2014年的干预措施有关,该措施包括通过媒体发布公共警告以及针对高危个体人群采取的强化预防措施。应进一步分析热浪期间死亡率的风险因素。