Usher Institute, The University of Edinburgh, Edinburgh, UK
Projahnmo Research Foundation, Dhaka, Bangladesh.
BMJ Open. 2022 Nov 15;12(11):e067389. doi: 10.1136/bmjopen-2022-067389.
Manual counting of respiratory rate (RR) in children is challenging for health workers and can result in misdiagnosis of pneumonia. Some novel RR counting devices automate the counting of RR and classification of fast breathing. The absence of an appropriate reference standard to evaluate the performance of these devices is a challenge. If good quality videos could be captured, with RR interpretation from these videos systematically conducted by an expert panel, it could act as a reference standard. This study is designed to develop a video expert panel (VEP) as a reference standard to evaluate RR counting for identifying pneumonia in children.
Using a cross-sectional design, we will enrol children aged 0-59 months presenting with suspected pneumonia at different levels of health facilities in Dhaka and Sylhet, Bangladesh. We will videorecord a physician/health worker counting RR manually and also using an automated RR counter (Children's Automated Respiration Monitor) from each child. We will establish a standard operating procedure for capturing quality videos, make a set of reference videos, and train and standardise the VEP members using the reference videos. After that, we will assess the performance of the VEP as a reference standard to evaluate RR counting. We will calculate the mean difference and proportions of agreement within±2 breaths per minute and create Bland-Altman plots with limits of agreement between VEP members.
The study protocol was approved by the National Research Ethics Committee of Bangladesh Medical Research Council, Bangladesh (registration number: 39315022021) and Edinburgh Medical School Research Ethics Committee (EMREC), Edinburgh, UK (REC Reference: 21-EMREC-040). Dissemination of the study findings will be through conference presentations and publications in peer-reviewed scientific journals.
手动计数儿童呼吸频率 (RR) 对卫生工作者来说具有挑战性,并且可能导致肺炎的误诊。一些新型 RR 计数设备可以自动计数 RR 并对呼吸急促进行分类。缺乏评估这些设备性能的适当参考标准是一个挑战。如果能够捕捉到高质量的视频,并且由一个专家小组对这些视频中的 RR 进行系统解读,那么这些视频就可以作为参考标准。本研究旨在开发一个视频专家小组 (VEP) 作为参考标准,以评估 RR 计数在识别儿童肺炎中的作用。
本研究采用横断面设计,将招募来自孟加拉国达卡和锡尔赫特不同卫生机构的 0-59 月龄疑似肺炎患儿。我们将从每个孩子身上手动记录医生/卫生工作者计数 RR 的视频,以及使用自动 RR 计数器 (儿童自动化呼吸监测仪) 记录的视频。我们将制定捕捉高质量视频的标准操作程序,制作一组参考视频,并使用参考视频对 VEP 成员进行培训和标准化。之后,我们将评估 VEP 作为参考标准评估 RR 计数的性能。我们将计算 VEP 成员之间在±2 次/分钟内的平均差异和一致性比例,并创建具有一致性界限的 Bland-Altman 图。
本研究方案已获得孟加拉国医学研究委员会国家伦理委员会 (Bangladesh Medical Research Council, 编号:39315022021) 和爱丁堡医学院伦理委员会 (Edinburgh Medical School Research Ethics Committee, EMREC,编号:21-EMREC-040) 的批准。研究结果的传播将通过会议演讲和在同行评议的科学期刊上发表文章来进行。