跳至主要内容
临床试验/NCT06354764
NCT06354764招募中不适用

Propensity to Hospitalize Patients From the ED in European Centers.An Observational Retrospective Quality-of-care Study

Mario Negri Institute for Pharmacological Research2 个研究点 分布在 1 个国家目标入组 162,000 人开始时间: 2025年9月22日最近更新:
适应症
干预措施

试验速览

阶段
不适用
状态
招募中
发起方
入组人数
162,000
试验地点
2
主要终点
Create two separate databases

研究概览

简要总结

The peer-to-peer comparison means center-to-center comparison, which requires adjusting for possible differences among centers to be fair and convincing. The first step to reach this goal is to develop a predictive model that accurately estimates each patient's probability of being admitted, starting from clinical conditions and boundary variables. Such a model would make it possible to calculate, for each ED, the expected hospitalization rate; that is, the hospitalization rate that would have been observed if the ED had behaved like the average of the EDs that provided the data to build the model itself. Comparing the observed hospitalization rate in the single ED with the expected rate derived from the model provides a rigorous method of comparing the department with the average performance, taking into account the characteristics of the patients treated and the conditions under which the ED operated. In other words, the predictive model represents the benchmark against which each ED is evaluated.

研究设计

研究类型
Observational
观察模型
Cohort
时间视角
Retrospective

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
All
接受健康志愿者

入选标准

  • Arrived at emergency department between 1 January 2021 and 31 December 2023

排除标准

  • 未提供

研究组 & 干预措施

Adults who attended the emergency department

干预措施: no intervention (Other)

结局指标

主要结局

Create two separate databases

时间窗: September 2024 - September 2025

To create two separate databases (one for each of the two subgroups considered) on all patients who presenteding to the participating EDs over a defined period, containing the information considered important to study both the propensity to hospitalize these patients and their 30-day mortality

Multivariable models

时间窗: September 2025 - September 2026

To develop two multivariable models that predict the probability that patients presenting to the ED with dyspnea (first model) or after a TLoC (second model) will be admitted to the hospital

Adjusted comparison

时间窗: September 2025 - September 2026

To provide the participating EDs with an adjusted comparison of the hospitalization rates for the patients with selected symptoms, to improve the quality of care.

次要结局

未报告次要终点

研究者

发起方
Mario Negri Institute for Pharmacological Research
申办方类型
Other
责任方
Sponsor

研究点 (2)

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