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实时测量儿科急诊部拥挤程度:使用共识感知拥挤度(SOTU-PED)进行推导和验证。

Real-Time Measurement of Crowding in Pediatric Emergency Department: Derivation and Validation Using Consensual Perception of Crowding (SOTU-PED).

机构信息

Medical Evaluation Department, APHM.

From the Paediatric Emergency Department, North Hospital, APHM, Marseille.

出版信息

Pediatr Emerg Care. 2021 Dec 1;37(12):e1244-e1250. doi: 10.1097/PEC.0000000000001986.

Abstract

Our study aimed to develop and validate a real-time crowding composite scale for pediatric emergency department (PED). The study took place in one teaching PED for 2 months. The outcome was the perception of crowding evaluated by triage nurses and pediatricians on a 10-level Likert scale. Triage nurses evaluated crowding at each moment of a child's admission and pediatrician at each moment of a child's discharge. The outcome was the hourly mean of all evaluations of crowding (hourly crowding perception). For analysis, originally, we only selected hours during which more than 2 nurses and more than 2 pediatricians evaluated crowding and, moreover, during which evaluations were the most consensual. As predictors, we used hourly means of 10 objective crowding indicators previously selected as consensual in a published French national Delphi study and collected automatically in our software system. The model (SOTU-PED) was developed over a 1-month data set using a backward multivariable linear regression model. Then, we applied the SOTU-PED model on a 1-month validation data set. During the study period, 7341 children were admitted in the PED. The outcome was available for 1352/1392 hours, among which 639 were included in the analysis as "consensual hours." Five indicators were included in the final model, the SOTU-PED (R2 = 0.718). On the validation data set, the correlation between the outcome (perception of crowding) and the SOTU-PED was 0.824. To predict crowded hours (hourly crowding perception >5), the area under the curve was 0.957 (0.933-0.980). The positive and negative likelihood ratios were 8.16 (3.82-17.43) and 0.153 (0.111-0.223), respectively. Using a simple model, it is possible to estimate in real time how crowded a PED is.

摘要

我们的研究旨在为儿科急诊部(PED)开发和验证实时拥挤综合量表。该研究在一家教学型 PED 进行了 2 个月。结果是分诊护士和儿科医生在 10 级李克特量表上评估的拥挤感。分诊护士在每个孩子入院时评估拥挤程度,儿科医生在每个孩子出院时评估拥挤程度。结果是所有拥挤评估的每小时平均值(每小时拥挤感)。最初,我们仅选择分诊护士评估超过 2 次且儿科医生评估超过 2 次且评估最一致的小时数进行分析。作为预测因素,我们使用之前在已发表的法国全国德尔菲研究中一致选择的 10 个客观拥挤指标的每小时平均值,并在我们的软件系统中自动收集。该模型(SOTU-PED)在使用向后多变量线性回归模型的 1 个月数据集上进行开发。然后,我们将 SOTU-PED 模型应用于 1 个月的验证数据集。在研究期间,有 7341 名儿童被收治在 PED。结果可用于 1352/1392 小时,其中 639 小时被纳入分析作为“一致小时”。最终模型包括 5 个指标,即 SOTU-PED(R2=0.718)。在验证数据集上,结果(拥挤感)与 SOTU-PED 之间的相关性为 0.824。要预测拥挤小时(每小时拥挤感>5),曲线下面积为 0.957(0.933-0.980)。阳性和阴性似然比分别为 8.16(3.82-17.43)和 0.153(0.111-0.223)。使用简单的模型,可以实时估计 PED 的拥挤程度。

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