Acute Receiving Unit, Royal Hospital for Sick Children, Edinburgh, UK.
Department of Paediatric Emergency Medicine, Imperial College NHS Trust, London, UK.
Emerg Med J. 2018 Nov;35(11):685-690. doi: 10.1136/emermed-2018-207802. Epub 2018 Oct 3.
Clarifying whether paediatric early warning scores (PEWS) accurately predict significant illness is a research priority for UK and Ireland paediatric emergency medicine (EM). However, a standardised list of significant conditions to benchmark these scores does not exist.
To establish standardised significant illness endpoints for use in determining the performance accuracy of PEWS and safety systems in emergency departments (ED), using a consensus of expert opinion in the UK and Ireland.
Between July 2017 and February 2018, three online Delphi rounds established a consensus on 'significant' clinical conditions, derived from a list of common childhood illness/injury ED presentations. Conditions warranting acute hospital admission in the opinion of the respondent were defined as 'significant', using a 5-point Likert scale. The consensus was a priori ≥80% (positive or negative). 258 clinical conditions were tested.
Eligible participants were consultants in acute or EM paediatrics, or adult EM, accessed via 53 PERUKI (Paediatric Emergency Research in the UK and Ireland)'s research collaborative sites, and 27 GAPRUKI (General and Adolescent Paediatric Research in the UK and Ireland)'s sites, 17 of which overlap with PERUKI.
To create a list of conditions regarded as 'significant'with ≥80% expert consensus.
43 (68%) of 63 PERUKI and GAPRUKI sites responded; 295 experts were invited to participate. Participants in rounds 1, 2 and 3 were 223 (76%), 177 (60%) and 148 (50%), respectively; 154 conditions reached positive consensus as 'significant'; 1 condition reached a negative consensus (uncomplicated Henoch-Schönlein purpura); and 37 conditions achieved non-consensus.
A list of significant childhood conditions has been created using UK and Irish expert consensus, for research purposes, for the first time. This will be used as the benchmark endpoint list for future research into PEWS/safety systems performance in EDs.
明确儿科早期预警评分(PEWS)是否准确预测严重疾病是英国和爱尔兰儿科急诊医学(EM)的研究重点。然而,目前还没有一个标准化的严重疾病清单来作为这些评分的基准。
使用英国和爱尔兰的专家意见达成共识,确定标准化的严重疾病终点,用于确定 PEWS 和安全系统在急诊科(ED)中的性能准确性。
在 2017 年 7 月至 2018 年 2 月期间,通过三轮在线 Delphi 法,就源于常见儿童疾病/损伤 ED 表现的一系列常见疾病/损伤,达成了关于“严重”临床疾病的共识。根据受访者的意见,需要急性住院治疗的疾病被定义为“严重”,使用 5 分李克特量表进行评估。共识的前提是≥80%(阳性或阴性)。共测试了 258 种临床疾病。
合格的参与者包括急性或 EM 儿科的顾问,或成人 EM 的顾问,通过 53 个 PERUKI(英国和爱尔兰儿科急诊研究)的研究合作机构和 27 个 GAPRUKI(英国和爱尔兰普通和青少年儿科研究)的机构进行招募,其中 17 个重叠。
创建一个被认为是“严重”的疾病清单,其共识率≥80%。
63 个 PERUKI 和 GAPRUKI 站点中的 43 个(68%)做出了回应;邀请了 295 名专家参与。第 1、2 和 3 轮的参与者分别为 223(76%)、177(60%)和 148(50%);154 种疾病达成了阳性共识(“严重”);1 种疾病达成了阴性共识(单纯性过敏性紫癜);37 种疾病未达成共识。
首次使用英国和爱尔兰的专家共识创建了一份严重儿童疾病清单,用于研究目的。这将作为未来 ED 中 PEWS/安全系统性能研究的基准终点清单。