원문정보
A multilevel analysis of the impact of regional 119 emergency resources on the compliance with 119 ambulance response time
초록
영어
Purpose: To determine the impact of regional 119 emergency resources on the compliance with 119 ambulance response times. Methods: We used 432,777 emergency activity reports from 2022, and local data from 85 areas via the National Statistics Portal. The 119 ambulance response times were categorized as RTt, RT1, RT2, and RT3 and classified as meeting or not meeting the national median based on the 2023 emergency service quality control report. Frequency analysis, descriptive statistics, and multilevel logistic regression(only RT1-4 and RT1-9) were conducted to identify the factors influencing response time compliance. All statistical analyses were performed using SAS version 9.4. Results: The median time was 34 min for RTt(range:2-712 min) and 9 min for RT1(range:1-688 min). RT2-2 had the highest fulfillment rate(79.8%), and RT1-4 had the lowest(1.7%). Multilevel analysis showed higher fulfillment rates among younger patients, out-of-hospital cardiac arrest cases, shorter scene distances, regions with greater population density, older persons populations, lower single-person household ratios, and more ambulances per 100,000 people. Conclusion: Optimizing 119 ambulance response times requires enhanced paramedic resource allocation, considering both individual-level factors (patient characteristics) and community-level determinants (population density and demographics), necessitating adjusted paramedic-to-population ratios.
목차
Ⅰ. 서론
1. 연구의 필요성과 목적
2. 이론적 배경 및 선행연구 고찰
Ⅱ. 연구방법
1. 연구 대상 및 자료수집방법
2. 변수 정의 및 측정
3. 연구모형 및 자료 분석 방법
Ⅲ. 연구결과
1. 일반적 특성
2. 지역별 119구급대 반응시간 전국 중앙값 충족에 영향을 주는 요인(다수준 분석)
Ⅳ. 고찰
Ⅴ. 결론
ORCID ID
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