Modifying the Geriatric Acute & Post-acute Care Coordination Program for Fall Prevention in the Emergency Department for Telehealth
NCT07034287
Disease Attributes, Emergencies
Loveland, Colorado, United States
View Trial DetailsNCT Number: NCT07111624
Fenice has proposed a new indicator to measure the level of crowding in the ER. The aim of this study is to evaluate, in a national multicenter context, the degree of agreement between the Fenice indicator and the perception of crowding of the ER operators and to compare this agreement with that between NEDOCS and the perception of the operators.
This study is active but is not currently recruiting participants.
Notify MeAll sexes
Observational
Spedali civili, Brescia, BS, Italy
The NEDOCS (National Emergency Department OverCrowding Study) is currently the most widely used indicator in Italy to measure the level of crowding in Emergency Departments (EDs). However, despite its widespread use, it presents several critical issues. First of all, it was developed in a context very different from the current Italian one, since it was built on data collected in 2002 in 8 medium-large US university EDs. It is therefore not possible to take for granted that this indicator can accurately describe the current crowding conditions of Italian EDs. Furthermore, the factors that make up the NEDOCS are often calculated differently by the various hospital facilities, compromising the comparability of the estimates.
Fenice has proposed a new indicator to measure the level of crowding in EDs. The indicator was developed to measure one of the objective consequences of crowding in EDs, namely the increase in waiting time for patients with a problem classified as minor urgency or deferrable to triage (codes 3 and 4). In parallel, the Fenice study has shown that NEDOCS is not very sensitive to this objective consequence of crowding.
The aim of this study is to evaluate, in a national multicenter context, the degree of agreement between the Fenice indicator and the perception of crowding of the operators of the ER and to compare this agreement with that between NEDOCS and the perception of the operators.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Patients that are in EDs at the time of the survey
Exclusion criteria
Patients that are in EDs, but not at the time of the survey
Time frame: September 2025 - December 2025
The outcome will be measured using the coefficient of determination (referred to as R2) of the linear model regressing the perceived level of crowding on the Fenice score.
Time frame: September 2025 - December 2025
Mario Negri Institute for Pharmacological Research
Other
Comparison Between a New Crowding Indicator and the Perception of Healthcare Workers in the Emergency Department
OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.
View the official ClinicalTrials.gov record (opens in a new tab)This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.
Published trials that share one or more normalized conditions with this study.
NCT07034287
Disease Attributes, Emergencies
Loveland, Colorado, United States
View Trial DetailsNCT07637591
Ambient AI System, Disease Attributes
Seoul, Gangnam-gu, South Korea
View Trial DetailsNCT06345352
Appropriateness, Disease Attributes
Milan, MI, Italy
View Trial DetailsNCT07795970
Asthma Exacerbation, Disease Attributes
View Trial Details