Retrospective Evaluation of Falls From Height Cases Admitted to the Pre-Hospital Emergency Healthcare System

Authors : Ramiz Yazıcı

Pages : 127-132

Doi:10.54996/anatolianjem.1523059

View : 68 | Download : 101

Publication Date : 2024-09-28

Article Type : Research Paper

Abstract :Aim: The aim of this study is to analyze the demographic characteristics, timing aspects (time of occurrence, emergency response time, ambulance arrival time), and hospital arrival times in pre-hospital cases of falls in Ankara. Material and Methods: This cross-sectional observational epidemiological study examined data from patients who received pre-hospital emergency care due to fall-related trauma in Ankara between January 1, 2019, and December 31, 2023. Patients were identified through calls made to the central 112 Call Center and documented in the Emergency Health Automation System. Demographic details, injury epidemiology (ICD-10 codes, injury mechanism, incident timing), and emergency response times (command response time, time from ambulance dispatch to scene arrival, transport time) were collected. Results: This study includes 16,136 patients, of whom 6,346 are female and 9,790 are male, with an average age of 38.3 ± 24.3 years. The predominant ICD-10 diagnosis codes are W03, W10, W12, W13, W14, W17, Y30, and X80. The year 2019 saw the highest number of incidents (n=4,014), with a decrease observed in 2020 (n=2,790). The highest number of falls occurred in July, while the lowest was in February, with the fewest falls reported in winter and the most in summer throughout the five years. Most incidents occurred between 08:00 and 15:59 (n=8,366), followed by 16:00 to 23:59 (n=6,456); 1,314 incidents occurred between 00:00 and 07:59. Falls occurred most frequently during working hours (61.9%, n=9,983). The average command center response time was 216.4 ± 203.6 seconds, station response time was 39.6 ± 47.8 seconds, and transport time was 371.6 ± 249.9 seconds. Most patients were transported to Training and Research Hospital (n=7,827), followed by State Hospital (n=3,422), University Hospital (n=2,210), and Private Hospital (n=249). Secondary transfers were mostly related to Training and Research Hospital (n=1,387), primarily for specialist needs (n=1,165). There were 32 patients who received on-scene intervention and 231 patients who died. Significantly increased response times were observed from 2019 to 2023 (p<0.001). Conclusion: Future research focusing on pre-hospital factors affecting mortality rates in fall victims could enhance triage strategies, thereby reducing the burden on tertiary healthcare facilities. Prevention of falls is crucial in reducing deaths associated with this traumatic injury.
Keywords : Yüksekten düşme, hastane öncesi acil bakım, acil sağlık hizmetleri