Delaney Peter G, Eisner Zachary J, Thullah Alfred H, Turay Patrick, Sandy Kpawuru, Boonstra Philip S, Raghavendran Krishnan
University of Michigan Medical School, 1301 Catherine St., Ann Arbor, MI 48109, United States; LFR International, 4835 Oak Park Ave, Encino, California, United States; Michigan Center for Global Surgery, Ann Arbor, Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, United States.
University of Michigan Medical School, 1301 Catherine St., Ann Arbor, MI 48109, United States; LFR International, 4835 Oak Park Ave, Encino, California, United States; Michigan Center for Global Surgery, Ann Arbor, Michigan, 1500 E Medical Center Dr, Ann Arbor, MI, United States.
Injury. 2023 Jan;54(1):5-14. doi: 10.1016/j.injury.2022.10.010. Epub 2022 Oct 13.
The global injury burden, driven by road traffic injuries, disproportionately affects low- and middle-income countries, which lack robust emergency medical services (EMS) to address injury. The WHO recommends training lay first responders (LFRs) as the first step toward formal EMS development. Emergency medical dispatch (EMD) systems are the recognized next step but whether small groups of LFRs equipped with mobile dispatch infrastructure can efficiently respond to geographically-dispersed emergencies in a timely fashion and the quality of prehospital care provided is unknown.
We piloted an EMD system utilizing a mobile phone application in Sierra Leone. Ten LFRs were randomly selected from a pool of 61 highly-active LFRs trained in 2019 and recruited to participate in an emergency simulation-based study. Ten simulation scenarios were created matching proportions of injury conditions across 1,850 previous incidents (June-December 2019). Fifty total simulations were launched in randomized order over 3 months, randomized along 10 km of highway in Makeni. Replicating real-world conditions, highly-active LFR participants were blinded to randomized dispatch timing/scenario to assess response time and skill performance under direct observation with a checklist using standardized patient actors. We used novel cost data tracked during EMD pilot implementation to inform the calculation of a new cost-effectiveness ratio ($USD cost per disability-adjusted life year averted (DALY)) for LFR programs equipped with dispatch, following WHOCHOICE guidelines, which state cost-effectiveness ratios less than gross domestic product (GDP) per capita are considered "very cost-effective."
Median total response interval (notification to arrival) was 5 min 39 s (IQR:0:03:51, 0:09:18). LFRs initially trained with a 5-hour curriculum and refresher training provide high-quality prehospital care during simulated emergencies. Median first aid skill checklist completion was 89% (IQR: 78%, 90%). Cost-effectiveness equals $179.02USD per DALY averted per 100,000 people, less than Sierra Leonean GDP per capita ($484.52USD).
LFRs equipped with mobile dispatch demonstrate appropriate response times and effective basic initial management of simulated emergencies. Training smaller cohorts of highly-active LFRs equipped with mobile dispatch appears highly cost-effective and may be a feasible model to facilitate efficient dispatch to expand emergency coverage while conserving valuable training resources in resource-limited settings.
由道路交通伤害导致的全球伤害负担对低收入和中等收入国家的影响尤为严重,这些国家缺乏完善的紧急医疗服务(EMS)来应对伤害情况。世界卫生组织建议培训非专业急救人员(LFRs)作为正式EMS发展的第一步。紧急医疗调度(EMD)系统是公认的下一步举措,但配备移动调度基础设施的小群体LFRs能否及时有效地应对地理上分散的紧急情况以及所提供的院前护理质量尚不清楚。
我们在塞拉利昂试用了一种利用手机应用程序的EMD系统。从2019年接受培训的61名高活跃度LFRs中随机挑选出10名,并招募他们参与一项基于紧急情况模拟的研究。根据之前1850起事件(2019年6月至12月)中伤害情况的比例创建了10个模拟场景。在3个月内以随机顺序启动了50次模拟,在马克尼沿10公里的高速公路进行随机安排。为复制真实世界的情况,高活跃度LFRs参与者对随机调度时间/场景不知情,以便在使用标准化患者演员直接观察的情况下,通过清单评估响应时间和技能表现。我们使用了EMD试点实施期间跟踪的新成本数据,根据世界卫生组织的CHOICE指南,为配备调度的LFR项目计算新的成本效益比(每避免一个伤残调整生命年(DALY)的美元成本),该指南指出成本效益比低于人均国内生产总值(GDP)的被认为“非常具有成本效益”。
总响应间隔(通知到到达)的中位数为5分39秒(四分位距:0:03:51,0:09:18)。最初接受5小时课程培训并接受复习培训的LFRs在模拟紧急情况下提供高质量的院前护理。急救技能清单完成情况的中位数为89%(四分位距:78%,90%)。成本效益为每10万人每避免一个DALY179.02美元,低于塞拉利昂人均GDP(484.52美元)。
配备移动调度的LFRs表现出适当的响应时间,并能对模拟紧急情况进行有效的基本初始管理。培训配备移动调度的较小规模高活跃度LFRs群体似乎具有很高的成本效益,可能是一种可行的模式,有助于在资源有限的环境中高效调度以扩大紧急覆盖范围,同时节省宝贵的培训资源。