A retrospective analysis on the measures at the transitional stage of COVID-19 epidemic prevention and control in pre-hospital emergency medical institutions
Objective To summarize the response experience and existing problems of pre-hospital emergency institutions in the transition stage of epidemic prevention and control.Methods The data of the 120 inbound calls,the rate of pickup in 10 seconds,dispatch vehicles,the changes of emergency response time,the changes in average of the handover time between ambulance and hospital,and hierarchical classification of patients of Tianjin Emergency Center after the policy transition of COVID-19 epidemic prevention and control and the same period in 2021 were compared and analyzed.Results After the policy transition of epidemic prevention and control,the number of 120 inbound calls increased by 181.2%,the rate of pickup in 10 seconds recovered from 88.97%to 100%,the number of vehicle dispatches increased by 125.2%,the average emergency response time was shortened from 18 minutes 4 seconds to about 11 minutes,and the number of ordinary patients,emergency patients,critically ill patients and endangered patients increased by 176.7%,-30.0%,102.1%and 227.9%respectively.The proportion of general patients was 71.03%,which was significantly different from the same period in 2021(P<0.01).The average handover time between ambulance and hospital extended to 19 minutes 16 seconds,and then gradually fell back.Conclusion Pre-hospital emergency institutions can effectively respond to the large increase in emergency workload by expanding the dispatching load capacity in advance,building a wartime service command system,dynamically classifying the deployment of treatment and transfer force,and unblocking the pre-hospital patient handover.However,it is also exposed a lack of ensuring that critically ill patients receive priority treatment and handover between ambulance and hospital in a run on emergency resources.
Pre-hospital first aidEpidemic prevention and control transitionRetrospective analysis
维普
万方数据
