Frequent Users of Emergency Departments: Analysis of the Characteristics and Geographical Distribution in a Local Health Authority in Rome, Italy

<b>Background/Objectives:</b> Frequent users (FUs) are patients who repeatedly attend Emergency Departments (EDs). This study aims to identify the clinical and social characteristics of FUs in a Local Health Authority in Rome and to quantify and compare the variation in the probability of being FU attributable to General Practitioners (GPs) and Local Health Districts (LHDs). <b>Methods:</b> The Healthcare Emergency Information System and an automated database of Lazio Region residents were used for the collection of data on the patients' socioeconomic status, GP, LHD and chronic diseases. Different FU thresholds (attendances ≥4, 5, 7 or 10) were used for descriptive analyses. Univariate logistic analysis and a multilevel logistic model were performed for inferential analyses. <b>Results:</b> A total of 89,036 individuals attended at least one of the 13 EDs included in the study. Mental illness was present in 2.6% of non-FUs compared with 7.6% of FUs with ≥4 attendances. The OR of being FU increased with higher clinical complexity. GP appeared to play an important role in determining FU behavior, while no significant effect was found on the LHD level. <b>Conclusions:</b> This study identified potential risk factors predictive of disproportionate ED use and may help policymakers address the FU phenomenon.

Authors

Institutions

Publication Details

Journal
Healthcare
Published
2025-10-16
DOI
https://doi.org/10.3390/healthcare13202609
Primary Topic
Emergency and Acute Care Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Frequent Users of Emergency Departments: Analysis of the Characteristics and Geographical Distribution in a Local Health Authority in Rome, Italy

Corrado De Vito, Gianfranco Damiani, Giuseppe Furia, Marina Davoli et al.
Healthcare
Emergency and Acute Care Studies
article

Frequent Users of Emergency Departments: Analysis of the Characteristics and Geographical Distribution in a Local Health Authority in Rome, Italy

Corrado De Vito, Gianfranco Damiani, Giuseppe Furia, Marina Davoli, P. Papini, Francesca Mataloni, Mirko Di Martino, Andréa Barbará, Massimo Maurici, Antonio Vinci, Paolo Lombardo
article en

Abstract

<b>Background/Objectives:</b> Frequent users (FUs) are patients who repeatedly attend Emergency Departments (EDs). This study aims to identify the clinical and social characteristics of FUs in a Local Health Authority in Rome and to quantify and compare the variation in the probability of being FU attributable to General Practitioners (GPs) and Local Health Districts (LHDs). <b>Methods:</b> The Healthcare Emergency Information System and an automated database of Lazio Region residents were used for the collection of data on the patients' socioeconomic status, GP, LHD and chronic diseases. Different FU thresholds (attendances ≥4, 5, 7 or 10) were used for descriptive analyses. Univariate logistic analysis and a multilevel logistic model were performed for inferential analyses. <b>Results:</b> A total of 89,036 individuals attended at least one of the 13 EDs included in the study. Mental illness was present in 2.6% of non-FUs compared with 7.6% of FUs with ≥4 attendances. The OR of being FU increased with higher clinical complexity. GP appeared to play an important role in determining FU behavior, while no significant effect was found on the LHD level. <b>Conclusions:</b> This study identified potential risk factors predictive of disproportionate ED use and may help policymakers address the FU phenomenon.

HealthcareVol. 13(20)
Università Cattolica del Sacro Cuore (IT), University of Rome Tor Vergata (IT), Agostino Gemelli University Polyclinic (IT), Sapienza University of Rome (IT)
Openalex Percentile: Top 57%
Emergency and Acute Care Studies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.