Anne Juul Grabmayr , Bridget Dicker , Vihara Dassanayake , Janet Bray , Christian Vaillancourt , Katie N. Dainty , Theresa Olasveengen , Carolina Malta Hansen , the International Liaison Committee on Resuscitation Basic Life Support Task Force
{"title":"优化院外心脏骤停的远程通信识别:范围审查","authors":"Anne Juul Grabmayr , Bridget Dicker , Vihara Dassanayake , Janet Bray , Christian Vaillancourt , Katie N. Dainty , Theresa Olasveengen , Carolina Malta Hansen , the International Liaison Committee on Resuscitation Basic Life Support Task Force","doi":"10.1016/j.resplu.2024.100754","DOIUrl":null,"url":null,"abstract":"<div><h3>Aim</h3><p>To summarize existing literature and identify knowledge gaps regarding barriers and enablers of telecommunicators’ recognition of out-of-hospital cardiac arrest (OHCA).</p></div><div><h3>Methods</h3><p>This scoping review was undertaken by an International Liaison Committee on Resuscitation (ILCOR) Basic Life Support scoping review team and guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Studies were eligible for inclusion if they were peer-reviewed and explored barriers and enablers of telecommunicator recognition of OHCA. We searched Ovid MEDLINE® and Embase and included articles from database inception till June 18th, 2024.</p></div><div><h3>Results</h3><p>We screened 9,244 studies and included 62 eligible studies on telecommunicator recognition of OHCA. The studies ranged in methodology. The majority were observational studies of emergency calls. The barriers most frequently described to OHCA recognition were breathing status and agonal breathing. The most frequently tested enabler for recognition was a variety of dispatch protocols focusing on breathing assessment. Only one randomized controlled trial (RCT) was identified, which found no difference in OHCA recognition with the addition of machine learning alerting telecommunicators in suspected OHCA cases.</p></div><div><h3>Conclusion</h3><p>Most studies were observational, assessed barriers to recognition of OHCA and compared different dispatch protocols. Only one RCT was identified. Randomized trials should be conducted to inform how to improve telecommunicator recognition of OHCA, including recognition of pediatric OHCAs and assessment of dispatch protocols.</p></div>","PeriodicalId":94192,"journal":{"name":"Resuscitation plus","volume":"20 ","pages":"Article 100754"},"PeriodicalIF":2.1000,"publicationDate":"2024-08-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2666520424002054/pdfft?md5=b37f978a756c835c975e0bf4bae17da0&pid=1-s2.0-S2666520424002054-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Optimising telecommunicator recognition of out-of-hospital cardiac arrest: A scoping review\",\"authors\":\"Anne Juul Grabmayr , Bridget Dicker , Vihara Dassanayake , Janet Bray , Christian Vaillancourt , Katie N. Dainty , Theresa Olasveengen , Carolina Malta Hansen , the International Liaison Committee on Resuscitation Basic Life Support Task Force\",\"doi\":\"10.1016/j.resplu.2024.100754\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Aim</h3><p>To summarize existing literature and identify knowledge gaps regarding barriers and enablers of telecommunicators’ recognition of out-of-hospital cardiac arrest (OHCA).</p></div><div><h3>Methods</h3><p>This scoping review was undertaken by an International Liaison Committee on Resuscitation (ILCOR) Basic Life Support scoping review team and guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Studies were eligible for inclusion if they were peer-reviewed and explored barriers and enablers of telecommunicator recognition of OHCA. We searched Ovid MEDLINE® and Embase and included articles from database inception till June 18th, 2024.</p></div><div><h3>Results</h3><p>We screened 9,244 studies and included 62 eligible studies on telecommunicator recognition of OHCA. The studies ranged in methodology. The majority were observational studies of emergency calls. The barriers most frequently described to OHCA recognition were breathing status and agonal breathing. The most frequently tested enabler for recognition was a variety of dispatch protocols focusing on breathing assessment. Only one randomized controlled trial (RCT) was identified, which found no difference in OHCA recognition with the addition of machine learning alerting telecommunicators in suspected OHCA cases.</p></div><div><h3>Conclusion</h3><p>Most studies were observational, assessed barriers to recognition of OHCA and compared different dispatch protocols. Only one RCT was identified. Randomized trials should be conducted to inform how to improve telecommunicator recognition of OHCA, including recognition of pediatric OHCAs and assessment of dispatch protocols.</p></div>\",\"PeriodicalId\":94192,\"journal\":{\"name\":\"Resuscitation plus\",\"volume\":\"20 \",\"pages\":\"Article 100754\"},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2024-08-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2666520424002054/pdfft?md5=b37f978a756c835c975e0bf4bae17da0&pid=1-s2.0-S2666520424002054-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Resuscitation plus\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2666520424002054\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"CRITICAL CARE MEDICINE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Resuscitation plus","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2666520424002054","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CRITICAL CARE MEDICINE","Score":null,"Total":0}
Optimising telecommunicator recognition of out-of-hospital cardiac arrest: A scoping review
Aim
To summarize existing literature and identify knowledge gaps regarding barriers and enablers of telecommunicators’ recognition of out-of-hospital cardiac arrest (OHCA).
Methods
This scoping review was undertaken by an International Liaison Committee on Resuscitation (ILCOR) Basic Life Support scoping review team and guided by the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for scoping reviews (PRISMA-ScR). Studies were eligible for inclusion if they were peer-reviewed and explored barriers and enablers of telecommunicator recognition of OHCA. We searched Ovid MEDLINE® and Embase and included articles from database inception till June 18th, 2024.
Results
We screened 9,244 studies and included 62 eligible studies on telecommunicator recognition of OHCA. The studies ranged in methodology. The majority were observational studies of emergency calls. The barriers most frequently described to OHCA recognition were breathing status and agonal breathing. The most frequently tested enabler for recognition was a variety of dispatch protocols focusing on breathing assessment. Only one randomized controlled trial (RCT) was identified, which found no difference in OHCA recognition with the addition of machine learning alerting telecommunicators in suspected OHCA cases.
Conclusion
Most studies were observational, assessed barriers to recognition of OHCA and compared different dispatch protocols. Only one RCT was identified. Randomized trials should be conducted to inform how to improve telecommunicator recognition of OHCA, including recognition of pediatric OHCAs and assessment of dispatch protocols.