Matthew R Shaw, Eric Quinn, Jack Cheng, Sabina Pilipovic, Ali Treichel, Remle P Crowe, Jeffrey L Jarvis
{"title":"“在墙上”:美国救护车病人下车时间的描述性分析。","authors":"Matthew R Shaw, Eric Quinn, Jack Cheng, Sabina Pilipovic, Ali Treichel, Remle P Crowe, Jeffrey L Jarvis","doi":"10.1080/10903127.2025.2535576","DOIUrl":null,"url":null,"abstract":"<p><strong>Objectives: </strong>Prolonged Ambulance Patient Offload Times (APOT) can lead to decreased ambulance availability and delays for subsequent patients but there is no standardized definition for this interval. We aimed to describe various APOT definitions and compare prolonged APOT intervals by agency characteristics in a large national dataset.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of the 2024 ESO Research Collaborative dataset, including all 9-1-1 response transports. We calculated median APOT intervals using the difference between the \"Arrival at Hospital\" timestamp and \"Receiving Facility Signature\" (APOT 1), \"Transfer of Care\" (APOT 2), \"Incident Closed\" (APOT 3), and a \"Composite\" interval (APOT 4) using the \"Receiving Facility Signature\" timestamp where available and \"Transfer of Care\" timestamp where not available. Using the composite APOT interval, we described characteristics among agencies with >100 annual transports with ≥25% of transports with prolonged APOTs compared to agencies with <25%.</p><p><strong>Results: </strong>Of the 7,237,606 included records, calculable intervals were available for 1,691,745 for APOT 1; 5,613,315 for APOT 2; 7,235,713 for APOT 3; and 6,025,643 for APOT 4. Median and interquartile (IQR) time in minutes for APOT 1 was 10.9 (6.6, 17.5), APOT 2 was 6.6 (4.4, 13.1), APOT 3 was 19.7 (13.1, 30.6), and APOT 4 was 8.7 (4.4, 15.3). Among agencies with ≥100 annual transports (2,020), 3.3% (67) had ≥25% transports with a prolonged APOT of more than 30 minutes. These agencies were more urban (79.1% vs 58.9%) and had a higher median annual 9-1-1 call volume of 2,772 (IQR:1,145, 5,978) compared to agencies where <25% of transports had a prolonged APOT (1,817 (IQR:719, 4,473)).</p><p><strong>Conclusions: </strong>Overall, median APOT intervals were short, independent of the definition. A small number of EMS agencies experienced prolonged offload times for at least 1-in-4 transports, indicating that though not widespread nationally, APOT challenges are prevalent in a subset of EMS systems.</p>","PeriodicalId":20336,"journal":{"name":"Prehospital Emergency Care","volume":" ","pages":"1-10"},"PeriodicalIF":2.1000,"publicationDate":"2025-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"\\\"On the Wall\\\": A Descriptive Analysis of Ambulance Patient Offload Times in the United States.\",\"authors\":\"Matthew R Shaw, Eric Quinn, Jack Cheng, Sabina Pilipovic, Ali Treichel, Remle P Crowe, Jeffrey L Jarvis\",\"doi\":\"10.1080/10903127.2025.2535576\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>Prolonged Ambulance Patient Offload Times (APOT) can lead to decreased ambulance availability and delays for subsequent patients but there is no standardized definition for this interval. We aimed to describe various APOT definitions and compare prolonged APOT intervals by agency characteristics in a large national dataset.</p><p><strong>Methods: </strong>We conducted a retrospective analysis of the 2024 ESO Research Collaborative dataset, including all 9-1-1 response transports. We calculated median APOT intervals using the difference between the \\\"Arrival at Hospital\\\" timestamp and \\\"Receiving Facility Signature\\\" (APOT 1), \\\"Transfer of Care\\\" (APOT 2), \\\"Incident Closed\\\" (APOT 3), and a \\\"Composite\\\" interval (APOT 4) using the \\\"Receiving Facility Signature\\\" timestamp where available and \\\"Transfer of Care\\\" timestamp where not available. Using the composite APOT interval, we described characteristics among agencies with >100 annual transports with ≥25% of transports with prolonged APOTs compared to agencies with <25%.</p><p><strong>Results: </strong>Of the 7,237,606 included records, calculable intervals were available for 1,691,745 for APOT 1; 5,613,315 for APOT 2; 7,235,713 for APOT 3; and 6,025,643 for APOT 4. Median and interquartile (IQR) time in minutes for APOT 1 was 10.9 (6.6, 17.5), APOT 2 was 6.6 (4.4, 13.1), APOT 3 was 19.7 (13.1, 30.6), and APOT 4 was 8.7 (4.4, 15.3). Among agencies with ≥100 annual transports (2,020), 3.3% (67) had ≥25% transports with a prolonged APOT of more than 30 minutes. These agencies were more urban (79.1% vs 58.9%) and had a higher median annual 9-1-1 call volume of 2,772 (IQR:1,145, 5,978) compared to agencies where <25% of transports had a prolonged APOT (1,817 (IQR:719, 4,473)).</p><p><strong>Conclusions: </strong>Overall, median APOT intervals were short, independent of the definition. 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"On the Wall": A Descriptive Analysis of Ambulance Patient Offload Times in the United States.
Objectives: Prolonged Ambulance Patient Offload Times (APOT) can lead to decreased ambulance availability and delays for subsequent patients but there is no standardized definition for this interval. We aimed to describe various APOT definitions and compare prolonged APOT intervals by agency characteristics in a large national dataset.
Methods: We conducted a retrospective analysis of the 2024 ESO Research Collaborative dataset, including all 9-1-1 response transports. We calculated median APOT intervals using the difference between the "Arrival at Hospital" timestamp and "Receiving Facility Signature" (APOT 1), "Transfer of Care" (APOT 2), "Incident Closed" (APOT 3), and a "Composite" interval (APOT 4) using the "Receiving Facility Signature" timestamp where available and "Transfer of Care" timestamp where not available. Using the composite APOT interval, we described characteristics among agencies with >100 annual transports with ≥25% of transports with prolonged APOTs compared to agencies with <25%.
Results: Of the 7,237,606 included records, calculable intervals were available for 1,691,745 for APOT 1; 5,613,315 for APOT 2; 7,235,713 for APOT 3; and 6,025,643 for APOT 4. Median and interquartile (IQR) time in minutes for APOT 1 was 10.9 (6.6, 17.5), APOT 2 was 6.6 (4.4, 13.1), APOT 3 was 19.7 (13.1, 30.6), and APOT 4 was 8.7 (4.4, 15.3). Among agencies with ≥100 annual transports (2,020), 3.3% (67) had ≥25% transports with a prolonged APOT of more than 30 minutes. These agencies were more urban (79.1% vs 58.9%) and had a higher median annual 9-1-1 call volume of 2,772 (IQR:1,145, 5,978) compared to agencies where <25% of transports had a prolonged APOT (1,817 (IQR:719, 4,473)).
Conclusions: Overall, median APOT intervals were short, independent of the definition. A small number of EMS agencies experienced prolonged offload times for at least 1-in-4 transports, indicating that though not widespread nationally, APOT challenges are prevalent in a subset of EMS systems.
期刊介绍:
Prehospital Emergency Care publishes peer-reviewed information relevant to the practice, educational advancement, and investigation of prehospital emergency care, including the following types of articles: Special Contributions - Original Articles - Education and Practice - Preliminary Reports - Case Conferences - Position Papers - Collective Reviews - Editorials - Letters to the Editor - Media Reviews.