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.
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.
Study Type
OBSERVATIONAL
Enrollment
828
Spedali civili
Brescia, BS, Italy
IRCCS San Martino
Genova, GE, Italy
Ospedale Santa Maria delle Croci
Ravenna, RA, Italy
Ospedali riuniti di Anzio e Nettuno
Anzio, RM, Italy
Proportion of variation in the ED staff perceived crowding level that is explained by the Fenice crowding score.
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
Proportion of variation in the ED staff perceived crowding level that is explained by the NEDOCS score, measured using the coefficient of determination (R2) of the linear model regressing the perceived level of crowding on the NEDOCS score.
Time frame: September 2025 - December 2025
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Azienda Ospedaliera San Camillo Forlanini
Roma, RM, Italy
Presidio Osped. Riunito
Cirié, TO, Italy
AOU San Luigi Gonzaga
Orbassano, TO, Italy
P.O. Sant'Andrea
Vercelli, VC, Italy
AOU Maggiore della Carità
Novara, Italy
Ospedale Santa Maria delle Grazie
Pozzuoli, Italy