Public Health Agency of Canada, Ottawa, Ontario, Canada.
Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada.
Health Promot Chronic Dis Prev Can. 2018 Sep;38(9):339-342. doi: 10.24095/hpcdp.38.9.06.
The nature of Canada's opioid crisis necessitates additional data sources that can provide a more comprehensive picture of the epidemic, in order to provide public health officials and decision-makers with a robust evidence base. Paramedic data provide a conduit into the community where overdoses occur. Prehospital events and circumstances surrounding opioid-related overdoses provide unique opportunities to collect evidence that can contribute to prevention, harm reduction and health promotion efforts. Using data extracted from the Ottawa Paramedic Service (OPS), this proof-of-concept study demonstrated that paramedic response data were useful in providing near real-time epidemiological information (person, time and place) on the opioid epidemic and in assessing trends and opportunities to develop alert triggers. Between January and June 2017, the OPS responded to an average of four opioid-related calls each week. On average, 0.5 mg of naloxone was administered each time. For the study period, linear trends show a small but insignificant increase in calls (p = 0.18). A higher volume of calls occurred between April 16 and 29, 2017. According to local media reports, this spike in paramedic responses was due to the arrival of high-grade fentanyl in Ottawa. With further validation, paramedic data can potentially provide a novel data source to monitor opioid-related overdoses.
加拿大阿片类药物危机的性质需要额外的数据来源,以便更全面地了解疫情,为公共卫生官员和决策者提供强有力的证据基础。护理人员数据提供了一个进入发生过量用药的社区的渠道。院前事件和阿片类药物相关过量用药的情况为收集有助于预防、减少伤害和促进健康的证据提供了独特的机会。本概念验证研究利用从渥太华护理人员服务(OPS)提取的数据表明,护理人员的反应数据可用于提供有关阿片类药物流行的近乎实时的流行病学信息(人员、时间和地点),并评估趋势和开发警报触发器的机会。在 2017 年 1 月至 6 月期间,OPS 每周平均响应四次与阿片类药物相关的呼叫。每次平均使用 0.5 毫克纳洛酮。在研究期间,线性趋势显示呼叫量略有但无统计学意义的增加(p = 0.18)。2017 年 4 月 16 日至 29 日期间,呼叫量更高。据当地媒体报道,护理人员响应的这一激增是由于渥太华出现了高纯度芬太尼。经过进一步验证,护理人员数据有可能成为监测阿片类药物相关过量用药的新数据源。