Keita Shibahashi, Norikazu Nonoguchi, Ken Inoue, Taichi Kato, Kazuhiro Sugiyama
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A simple scoring model was developed to stratify the caller noncompliance probability.</p>\n </section>\n \n <section>\n \n <h3> Results</h3>\n \n <p>Overall, 19,525 cases were included. Bystander CPR was not provided in 11,443 (58.6%) of these cases; the 1-month favorable neurological outcome rate was significantly lower in this group (1.1% vs. 2.2%, <i>p</i> < 0.001). Regression analysis revealed that patient age, male patient sex, emergency call at night, cardiac arrest in the bathroom, and a familial relationship between the caller and the patient were significantly associated with noncompliance. The scoring model assigned 1 point for each of the following criteria: patient aged ≥65 years, familial relationship between the caller and the patient, and cardiac arrest in the bathroom. It also stratified caller noncompliance probability, with scores of 0, 1, 2, and 3 corresponding to probabilities of 48.0%, 50.8%, 61.3%, and 70.5%, respectively.</p>\n </section>\n \n <section>\n \n <h3> Conclusion</h3>\n \n <p>We found that callers frequently did not follow dispatcher CPR instructions and identified risk factors for caller noncompliance. Furthermore, the simple scoring model developed effectively stratified the probability of caller noncompliance associated with dispatcher instructions.</p>\n </section>\n </div>","PeriodicalId":7196,"journal":{"name":"Acute Medicine & Surgery","volume":"12 1","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-05-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1002/ams2.70057","citationCount":"0","resultStr":"{\"title\":\"Incidence and risk stratification of caller noncompliance with dispatcher instructions for cardiopulmonary resuscitation\",\"authors\":\"Keita Shibahashi, Norikazu Nonoguchi, Ken Inoue, Taichi Kato, Kazuhiro Sugiyama\",\"doi\":\"10.1002/ams2.70057\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div>\\n \\n \\n <section>\\n \\n <h3> Aim</h3>\\n \\n <p>This study aimed to describe the incidence of, identify risk factors for, and develop a simple risk-scoring model for cases where callers fail to follow dispatcher instructions regarding cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest.</p>\\n </section>\\n \\n <section>\\n \\n <h3> Methods</h3>\\n \\n <p>Using the Tokyo Fire Department's database, cases of out-of-hospital cardiac arrest in adults where callers received dispatcher instructions regarding CPR between 1 January 2018 and 31 December 2022 were identified. 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引用次数: 0
摘要
本研究旨在描述院外心脏骤停的发生率,识别危险因素,并开发一个简单的风险评分模型,用于呼叫者未能遵循调度员关于心肺复苏(CPR)的指示。方法利用东京消防局的数据库,确定2018年1月1日至2022年12月31日期间呼救者收到调度员有关心肺复苏指示的成人院外心脏骤停病例。使用多变量logistic回归分析确定与不遵守CPR指示相关的因素。建立了一个简单的评分模型,对呼叫者不服从概率进行分层。结果共纳入19525例。11443例(58.6%)患者未接受旁观者心肺复苏术;该组1个月良好神经转归率显著低于对照组(1.1% vs. 2.2%, p < 0.001)。回归分析显示,患者年龄、男性患者性别、夜间紧急呼叫、浴室内心脏骤停以及呼叫者与患者之间的家庭关系与不遵医嘱显著相关。评分模型对以下标准分别给予1分:患者年龄≥65岁,呼叫者与患者之间的家庭关系,以及在浴室中心脏骤停。它还对呼叫者不服从概率进行了分层,得分0、1、2和3分别对应48.0%、50.8%、61.3%和70.5%的概率。结论:我们发现呼叫者经常不遵守调度员的CPR指令,并确定了呼叫者不遵守指令的危险因素。此外,开发的简单评分模型有效地分层了与调度指令相关的调用者不遵守的概率。
Incidence and risk stratification of caller noncompliance with dispatcher instructions for cardiopulmonary resuscitation
Aim
This study aimed to describe the incidence of, identify risk factors for, and develop a simple risk-scoring model for cases where callers fail to follow dispatcher instructions regarding cardiopulmonary resuscitation (CPR) for out-of-hospital cardiac arrest.
Methods
Using the Tokyo Fire Department's database, cases of out-of-hospital cardiac arrest in adults where callers received dispatcher instructions regarding CPR between 1 January 2018 and 31 December 2022 were identified. Factors associated with noncompliance with CPR instructions were determined using multivariable logistic regression analysis. A simple scoring model was developed to stratify the caller noncompliance probability.
Results
Overall, 19,525 cases were included. Bystander CPR was not provided in 11,443 (58.6%) of these cases; the 1-month favorable neurological outcome rate was significantly lower in this group (1.1% vs. 2.2%, p < 0.001). Regression analysis revealed that patient age, male patient sex, emergency call at night, cardiac arrest in the bathroom, and a familial relationship between the caller and the patient were significantly associated with noncompliance. The scoring model assigned 1 point for each of the following criteria: patient aged ≥65 years, familial relationship between the caller and the patient, and cardiac arrest in the bathroom. It also stratified caller noncompliance probability, with scores of 0, 1, 2, and 3 corresponding to probabilities of 48.0%, 50.8%, 61.3%, and 70.5%, respectively.
Conclusion
We found that callers frequently did not follow dispatcher CPR instructions and identified risk factors for caller noncompliance. Furthermore, the simple scoring model developed effectively stratified the probability of caller noncompliance associated with dispatcher instructions.