Department of Emergency Medicine, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.
Department of Pediatrics, Soonchunhyang University Bucheon Hospital, Bucheon, Republic of Korea.
Ann Acad Med Singap. 2023 Dec 28;52(12):660-668. doi: 10.47102/annals-acadmedsg.20238.
Determining the exact weight of children is a challenging task during emergency situations. Current guidelines recommend the use of length-based weight-estimating tapes. However, healthcare providers must either always carry the tapes or take time to locate them. Moreover, they may not know how to use them. To address these issues, we developed an augmented reality smartphone application for length-based weight estimation called the Paediatric Augmented Reality Scale (PARS). We evaluated its performance and compared it to that of the Broselow tape (BT) and Paediatric Advanced Weight Prediction in the Emergency Room extra-long and extra-large (PAWPER-XL) tape methods.
A prospective, single-blinded cross-sectional study was conducted with children aged 1 month to 12 years who visited the emergency department of the tertiary university hospital in Bucheon, South Korea between July 2021 and February 2022. This study aimed to evaluate the measurement agreement and performance of 3 methods: BT, PAWPER-XL and PARS.
In all, 1090 participants were enrolled, and 639 (58.6%) were male. The mean age of the participants was 4.1 ± 2.8 years, with a mean height of 102.7 ± 21.7 cm and mean weight of 18.8 ± 9.5 kg. Compared to BT and PAWPER-XL, PARS exhibited lower mean absolute percentage error (9.60%) and root mean square percentage error (3.02%). PARS achieved a higher proportion of weights estimated within 10% of the actual weight (63.21%), outperform-ing BT (57.25%) and PAWPER-XL (62.47%). The intraclass correlation coefficients for the actual and estimated weights of BT, PAWPER-XL and PARS were 0.952, 0.969 and 0.973, respectively (P<0.001).
PARS exhibited a modestly better performance than BT and PAWPER-XL in estimating body weight. PARS-estimated body weights correlated fairly accurately with the actual body weights. PARS holds potential utility in paediatric emergencies.
在紧急情况下,准确确定儿童的体重是一项具有挑战性的任务。目前的指南建议使用基于长度的体重估计带。然而,医护人员要么必须始终携带这些带子,要么花时间找到它们。此外,他们可能不知道如何使用它们。为了解决这些问题,我们开发了一种基于增强现实的智能手机应用程序,用于基于长度的体重估计,称为儿科增强现实秤(PARS)。我们评估了它的性能,并将其与 Broselow 带(BT)和儿科先进体重预测在急诊室超长和超大(PAWPER-XL)带方法进行了比较。
一项前瞻性、单盲、横断面研究纳入了 2021 年 7 月至 2022 年 2 月期间在韩国布川市的一家三级大学医院急诊部就诊的 1 个月至 12 岁的儿童。本研究旨在评估 BT、PAWPER-XL 和 PARS 三种方法的测量一致性和性能。
共有 1090 名参与者入组,其中 639 名(58.6%)为男性。参与者的平均年龄为 4.1±2.8 岁,平均身高为 102.7±21.7cm,平均体重为 18.8±9.5kg。与 BT 和 PAWPER-XL 相比,PARS 的平均绝对百分比误差(9.60%)和均方根百分比误差(3.02%)较低。PARS 达到了更高的估计体重与实际体重相差 10%以内的比例(63.21%),优于 BT(57.25%)和 PAWPER-XL(62.47%)。BT、PAWPER-XL 和 PARS 的实际体重与估计体重的组内相关系数分别为 0.952、0.969 和 0.973(P<0.001)。
PARS 在估计体重方面的表现略优于 BT 和 PAWPER-XL。PARS 估计的体重与实际体重相当准确地相关。PARS 在儿科急诊中具有潜在的应用价值。