Wong Ho Ting, Lin Jen-Jia
Institute of Health Care Management, Department of Business Management, National Sun Yat-sen University, 70 Lienhai Rd., Kaohsiung, 80424 Taiwan.
Department of Geography, National Taiwan University, Taipei City, Taiwan.
Theor Appl Climatol. 2020;141(1-2):321-330. doi: 10.1007/s00704-020-03213-4. Epub 2020 Apr 21.
Numerous studies have examined the effects of weather on emergency ambulance service (EAS) demand. Given Taipei's unique physical and social environments, empirical evidence collected from other regions may not be applicable. Collecting more information about the characteristics of vulnerable groups and the effects of weather could help the EAS managing authority in formulating cost-effective EAS policies. This study aims to look at the effects of weather on EAS demand in Taipei and to make a comparison with Hong Kong, which is also an Asian city and has a similar cultural context. The study analyzed over 370,000 EAS usage records from the Taipei City Fire Department. These records were aggregated into time series data according to patients' characteristics and then regressed on meteorological data via multivariate forward regression. The effect size differences of the variance explained by different groups of EAS users' regression models were compared. Afterward, the results of the regression analysis from Taipei were compared with those from a Hong Kong study. Elderly and critical patients in both cities showed significantly more sensitivity to weather than other patients. Further analysis showed that non-trauma cases were related to weather in Taipei. Although both cities had similar results, the Taipei study clearly showed that elderly and critical patients were more sensitive to weather than other patient subgroups. Health education programs should focus on the vulnerable groups identified in this study in order to increase their awareness and help them protect themselves before the onset of adverse weather conditions. By generating results that are directly applicable to Taipei, the formulation of inappropriate EAS policies can be prevented.
众多研究探讨了天气对紧急救护服务(EAS)需求的影响。鉴于台北独特的自然和社会环境,从其他地区收集的实证证据可能并不适用。收集更多关于弱势群体特征和天气影响的信息,有助于紧急救护服务管理部门制定具有成本效益的紧急救护服务政策。本研究旨在探讨天气对台北紧急救护服务需求的影响,并与同样作为亚洲城市且文化背景相似的香港进行比较。该研究分析了台北市消防局超过37万条紧急救护服务使用记录。这些记录根据患者特征汇总为时间序列数据,然后通过多元向前回归与气象数据进行回归分析。比较了不同组紧急救护服务使用者回归模型所解释方差的效应大小差异。随后,将台北回归分析的结果与香港一项研究的结果进行比较。两个城市的老年患者和重症患者对天气的敏感度均显著高于其他患者。进一步分析表明,台北的非创伤病例与天气有关。尽管两个城市的结果相似,但台北的研究清楚地表明,老年患者和重症患者对天气的敏感度高于其他患者亚组。健康教育项目应关注本研究中确定的弱势群体,以提高他们的意识,并帮助他们在恶劣天气条件来临前做好自我保护。通过得出直接适用于台北的结果,可以防止制定不恰当的紧急救护服务政策。