Predictors of Prehospital On-Scene Time in an Australian Emergency Retrieval Service. 2019

Patrick T Fok, and David Teubner, and Jeremy Purdell-Lewis, and Andrew Pearce
1.Emergency Medical Retrieval Service,SAAS MedSTAR,Adelaide, South Australia,Australia.

BACKGROUND Prehospital physicians balance the need to stabilize patients prior to transport, minimizing the delay to transport patients to the appropriate level of care. Literature has focused on which interventions should be performed in the prehospital environment, with airway management, specifically prehospital intubation (PHI), being a commonly discussed topic. However, few studies have sought additional factors which influence scene time or quantify the impact of mission characteristics or therapeutic interventions on scene time.Hypothesis/Problem:The goal of this study was to identify specific interventions, patient demographics, or mission characteristics that increase scene time and quantify their impact on scene time. METHODS A retrospective, database model-building study was performed using the prehospital mission database of South Australian Ambulance Service (SAAS; Adelaide, South Australia) MedSTAR retrieval service from January 1, 2015 through August 31, 2016. Mission variables, including patient age, weight, gender, retrieval platform, physician type, PHI, arterial line placement, central line placement, and finger thoracostomy, were assessed for predictors of scene time. RESULTS A total of 506 missions were included in this study. Average prehospital scene time was 34 (SD = 21) minutes. Four mission variables significantly increased scene time: patient age, rotary wing transport, PHI, and arterial line placement increased scene time by 0.09 (SD = 0.08) minutes, 13.6 (SD = 3.2) minutes, 11.6 (SD = 3.8) minutes, and 34.4 (SD = 8.4) minutes, respectively. CONCLUSIONS This study identifies two mission characteristics, patient age and rotary wing transport, and two interventions, PHI and arterial line placement, which significantly increase scene time. Elderly patients are medically complex and more severely injured than younger patients, thus, may require more time to stabilize on-scene. Inherent in rotary wing operations is the time to prepare for the flight, which is shorter during ground transport. The time required to safely execute a PHI is similar to that in the literature and has remained constant over the past two years; arterial line placement took longer than envisioned. The SAAS MedSTAR has changed its clinical practice guidelines for prehospital interventions based on this study's results. Retrieval services should similarly assess the necessity and efficiency of interventions to optimize scene time, knowing that the time required to safely execute an intervention may reach a minimum duration. Defining the scene time enables mission planning, team training, and audit review with the aim of improved patient care.

UI MeSH Term Description Entries
D008297 Male Males
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D010348 Patient Care Team Care of patients by a multidisciplinary team usually organized under the leadership of a physician; each member of the team has specific responsibilities and the whole team contributes to the care of the patient. Health Care Team,Interdisciplinary Health Team,Medical Care Team,Multidisciplinary Care Team,Multidisciplinary Health Team,Healthcare Team,Care Team, Health,Care Team, Medical,Care Team, Multidisciplinary,Care Team, Patient,Care Teams, Health,Care Teams, Patient,Health Care Teams,Health Team, Interdisciplinary,Health Team, Multidisciplinary,Healthcare Teams,Interdisciplinary Health Teams,Medical Care Teams,Multidisciplinary Care Teams,Multidisciplinary Health Teams,Patient Care Teams,Team, Health Care,Team, Healthcare,Team, Interdisciplinary Health,Team, Medical Care,Team, Multidisciplinary Care,Team, Multidisciplinary Health,Team, Patient Care,Teams, Interdisciplinary Health
D011237 Predictive Value of Tests In screening and diagnostic tests, the probability that a person with a positive test is a true positive (i.e., has the disease), is referred to as the predictive value of a positive test; whereas, the predictive value of a negative test is the probability that the person with a negative test does not have the disease. Predictive value is related to the sensitivity and specificity of the test. Negative Predictive Value,Positive Predictive Value,Predictive Value Of Test,Predictive Values Of Tests,Negative Predictive Values,Positive Predictive Values,Predictive Value, Negative,Predictive Value, Positive
D004632 Emergency Medical Services Services specifically designed, staffed, and equipped for the emergency care of patients. Emergency Care,Emergency Health Services,Emergicenters,Prehospital Emergency Care,Emergency Care, Prehospital,Emergency Services, Medical,Medical Services, Emergency,Services, Emergency Medical,Emergency Health Service,Emergency Medical Service,Emergency Service, Medical,Emergicenter,Health Service, Emergency,Health Services, Emergency,Medical Emergency Service,Medical Emergency Services,Medical Service, Emergency,Service, Emergency Health,Service, Emergency Medical,Service, Medical Emergency,Services, Emergency Health,Services, Medical Emergency
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults
D000368 Aged A person 65 years of age or older. For a person older than 79 years, AGED, 80 AND OVER is available. Elderly
D000552 Ambulances A vehicle equipped for transporting patients in need of emergency care. Emergency Mobile Units,Mobile Emergency Units,Ambulance,Emergency Mobile Unit,Emergency Unit, Mobile,Emergency Units, Mobile,Mobile Emergency Unit,Mobile Unit, Emergency,Mobile Units, Emergency,Unit, Emergency Mobile,Unit, Mobile Emergency,Units, Emergency Mobile,Units, Mobile Emergency

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