Broselow tape grey12/16/2023 ![]() ![]() The mean percentage error using the Broselow tape was 1.0 ± 12.0% ( P < 0.001 vs. The correlation between the Broselow tape estimated weight and actual weight was r = 0.931 ( P < 0.0001, 95% CI: 0.918–0.943), while the correlation between actual weight and the APLS method calculated weight was r = 0.883 ( P < 0.0001, 95% CI: 0.861–0.902). The percentage of weight estimations within 10% of actual weight were 65.8% (59.1, 65.8, and 68.1% for the 19-kg groups, respectively) and 44.8% (40.9, 50.6, and 35.5% for the 19-kg groups, respectively) using the Broselow tape and the APLS method, respectively. The color concordance rates of the Broselow tape-estimated weight in the three groups were 56.8, 57.2, and 68.1%, respectively. The 19-kg groups included 44, 257, and 141 children, respectively. Results: The study included 442 children (mean age: 48 months male-to-female ratio: 1.13:1). ![]() Broselow tape was used to estimate weight and its validity was compared with the advanced child life support (APLS) method. Methods: A cross-sectional study was conducted in the emergency department of the Children's Hospital of Zhejiang University School of Medicine (Hangzhou, Zhejiang Province, China) in March 2022. Objective: To assess the validity of the Broselow tape in estimating the weight of Chinese children in pediatric emergency. 4Department of Child Psychology, The Children's Hospital, Zhejiang University School of Medicine/National Clinical Research Center for Children's Health and Diseases/National Regional Children's Medical Center, Hangzhou, China.3Statistics Office, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.2Department of Nursing, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China. ![]() 1Emergency Department, The Children's Hospital, Zhejiang University School of Medicine, Hangzhou, China.Shuzhen Zhu 1 Jihua Zhu 2 Hongqin Zhou 2 Xiuping Chen 2 Jianfeng Liang 3 Lijun Liu 1 Caidi Zhang 1 Yingying Zhao 1 Yanyan Chen 1 Xiao Wu 1 Sheng Ye 1 * Kewen Jiang 4 * ![]()
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