Alexandra T Geanacopoulos, James R Rudloff, Sriram Ramgopal, Mark I Neuman, Michael C Monuteaux, Susan C Lipsett, Todd A Florin
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Respondents were asked to indicate their probability of radiographic CAP and choose whether they would obtain a chest radiograph or give empirical antibiotics before and after being provided with the probability of radiographic CAP based on a validated prediction model. We used logistic regression to establish testing and treatment thresholds, defined as the disease probability at which half of physicians acted.</p><p><strong>Results: </strong>Two-hundred and eight (44.3%) of 469 physicians completed the survey. Most were attending physicians (96.0%) practicing in a freestanding children's hospital (76.8%). Testing and treatment thresholds for CAP were 17.6% (95% confidence interval [CI] 16.4% to 18.8%) and 66.1% (95% CI 60.1% to 72.5%), respectively, before knowledge of the model-estimated probability. With knowledge of the prediction model, testing and treatment thresholds were 13.5% (95% CI 12.3% to 14.7%) and 58.0% (95% CI 53.2-62.8).</p><p><strong>Conclusions: </strong>We elucidated physician thresholds for testing and treatment of CAP, which may be integrated into future pneumonia risk models to improve acceptability and incorporation into practice.</p>","PeriodicalId":38180,"journal":{"name":"Hospital pediatrics","volume":" ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-11-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Testing and Treatment Thresholds for Pediatric Pneumonia in the Emergency Department.\",\"authors\":\"Alexandra T Geanacopoulos, James R Rudloff, Sriram Ramgopal, Mark I Neuman, Michael C Monuteaux, Susan C Lipsett, Todd A Florin\",\"doi\":\"10.1542/hpeds.2024-007848\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Background: </strong>Clinical prediction models for pediatric community-acquired pneumonia (CAP) may standardize management. 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We used logistic regression to establish testing and treatment thresholds, defined as the disease probability at which half of physicians acted.</p><p><strong>Results: </strong>Two-hundred and eight (44.3%) of 469 physicians completed the survey. Most were attending physicians (96.0%) practicing in a freestanding children's hospital (76.8%). Testing and treatment thresholds for CAP were 17.6% (95% confidence interval [CI] 16.4% to 18.8%) and 66.1% (95% CI 60.1% to 72.5%), respectively, before knowledge of the model-estimated probability. With knowledge of the prediction model, testing and treatment thresholds were 13.5% (95% CI 12.3% to 14.7%) and 58.0% (95% CI 53.2-62.8).</p><p><strong>Conclusions: </strong>We elucidated physician thresholds for testing and treatment of CAP, which may be integrated into future pneumonia risk models to improve acceptability and incorporation into practice.</p>\",\"PeriodicalId\":38180,\"journal\":{\"name\":\"Hospital pediatrics\",\"volume\":\" \",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-11-19\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Hospital pediatrics\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1542/hpeds.2024-007848\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"Nursing\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Hospital pediatrics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1542/hpeds.2024-007848","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Nursing","Score":null,"Total":0}
引用次数: 0
摘要
背景:儿科社区获得性肺炎(CAP)的临床预测模型可实现标准化管理。了解医生的风险阈值对模型的实施非常重要。我们的目的是在了解经过验证的临床预测模型结果之前和之后,阐明在因呼吸道疾病到急诊科就诊的儿童中,医生对胸片表现和 CAP 经验性抗生素治疗的阈值:美国儿科学会儿科急诊医学合作研究委员会对儿科急诊医生进行了调查,并提供了 8 个呼吸道症状患儿的临床案例。受访者被要求指出放射性 CAP 的可能性,并在根据已验证的预测模型获得放射性 CAP 的可能性之前和之后选择是否拍摄胸片或给予经验性抗生素。我们使用逻辑回归法确定了检测和治疗阈值,即半数医生采取行动的疾病概率:469 名医生中有 28 名(44.3%)完成了调查。其中大部分是在独立儿童医院工作的主治医生(96.0%)(76.8%)。在了解模型估计概率之前,CAP 的检测和治疗阈值分别为 17.6%(95% 置信区间 [CI] 16.4% 至 18.8%)和 66.1%(95% 置信区间 60.1% 至 72.5%)。在了解预测模型后,检测和治疗阈值分别为 13.5% (95% CI 12.3% to 14.7%) 和 58.0% (95% CI 53.2-62.8):我们阐明了医生检测和治疗 CAP 的阈值,可将其纳入未来的肺炎风险模型,以提高可接受性并将其纳入实践。
Testing and Treatment Thresholds for Pediatric Pneumonia in the Emergency Department.
Background: Clinical prediction models for pediatric community-acquired pneumonia (CAP) may standardize management. Understanding physician risk thresholds is important for model implementation. We aimed to elucidate physician-derived thresholds for chest radiograph performance and empirical antibiotic treatment of CAP among children presenting to the emergency department with respiratory illness before and after knowledge of results of a validated clinical prediction model.
Methods: Pediatric emergency physicians were surveyed through the American Academy of Pediatrics Pediatric Emergency Medicine Collaborative Research Committee and provided 8 clinical vignettes for children with respiratory symptoms. Respondents were asked to indicate their probability of radiographic CAP and choose whether they would obtain a chest radiograph or give empirical antibiotics before and after being provided with the probability of radiographic CAP based on a validated prediction model. We used logistic regression to establish testing and treatment thresholds, defined as the disease probability at which half of physicians acted.
Results: Two-hundred and eight (44.3%) of 469 physicians completed the survey. Most were attending physicians (96.0%) practicing in a freestanding children's hospital (76.8%). Testing and treatment thresholds for CAP were 17.6% (95% confidence interval [CI] 16.4% to 18.8%) and 66.1% (95% CI 60.1% to 72.5%), respectively, before knowledge of the model-estimated probability. With knowledge of the prediction model, testing and treatment thresholds were 13.5% (95% CI 12.3% to 14.7%) and 58.0% (95% CI 53.2-62.8).
Conclusions: We elucidated physician thresholds for testing and treatment of CAP, which may be integrated into future pneumonia risk models to improve acceptability and incorporation into practice.