A Cross-Sectional Survey on Burnout Prevalence and Profile in the Sicilian Population of Ambulance Driver-Rescuers

Laura Ferraro, Caterina La Cascia, Daniele La Barbera, Giuseppe Maniaci, Angelo Chifari, Antonio De Santis, Lucia Sideli

Risultato della ricerca: Article

Abstract

Introduction: Burnout is present at a high rate in emergency medicine. The ambulancedriver-rescuers, who furnish first aid to the victims, are the non-medical part of theItalian 118-service staff. There is a lack of research on burnout risk in Italian EmergencyMedical Services and, particularly, for this category of workers. The two Italian studies,including a little group of ambulance driver-rescuers, reported inconsistent findings.Hypothesis: This survey investigated for the first time the prevalence and exact profile ofburnout in a large sample of Italian driver-rescuers. As a secondary aim, the study describedhow the items of the Italian version of the Maslach Burnout Inventory-Human ServicesSurvey (MBI-HSS) cluster in components in this sample.Methods: This cross-sectional census survey was conducted from June 2015 through May2016 and involved all the driver-rescuers operating in Sicily, the biggest and most southernregion of Italy. The subjects received a classification according to different profiles of burnout by using the Italian version of the MBI-HSS (burnout, engagement, disengagement,over-extension, and work-inefficacy). In order to explore the existence of independentfactors, a Principal Component Analysis (PCA) was conducted on the survey to obtaineigenvalues >one for each component in the data.Results: The final sample comprised 2,361 responders (96.6% of the initial sample). Of them,29.8% were in burnout (95% confidence interval [CI], 27.8% to 31.8%) and 1.7% presented asevere form (95% CI, 1.1% to 2.3%); 30.0% were engaged in their work (95% CI, 21.0% to34.8%), 24.7% of responders were disengaged (95% CI, 22.9% to 26.5%), 1.2% presented anover-extension profile (95% CI, 0.8% to 1.7%), and 12.6% felt work-inefficacy (95% CI,11.3% to 14.1%). The factors loaded into a five-factor solution at PCA, explaining 48.1%of the variance and partially replicating the three-factor structure. The EmotionalExhaustion (EE) component was confirmed. New dimensions from PersonalAccomplishment (PA) and Depersonalization (DP) sub-scales described empathy and disengagement with patients, respectively, and were responsible for the increased risk of burnout.Conclusions: These results endorse the importance of screening and psychological interventions for this population of emergency workers, where burnout could manifest itself moreinsidiously. It is also possible to speculate that sub-optimal empathy skills could be related tothe disengagement and work-inefficacy feelings registered.
Lingua originaleEnglish
pagine (da-a)1-8
Numero di pagine8
RivistaPrehospital and Disaster Medicine
Stato di pubblicazionePublished - 2020

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Ambulances
Cross-Sectional Studies
Confidence Intervals
Population
Principal Component Analysis
Sicily
Depersonalization
Equipment and Supplies
First Aid
Emergency Medicine
Censuses
Italy
Emotions
Emergencies
Psychology
Research

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@article{b245555ac3b646f8996668228db787c3,
title = "A Cross-Sectional Survey on Burnout Prevalence and Profile in the Sicilian Population of Ambulance Driver-Rescuers",
abstract = "Introduction: Burnout is present at a high rate in emergency medicine. The ambulancedriver-rescuers, who furnish first aid to the victims, are the non-medical part of theItalian 118-service staff. There is a lack of research on burnout risk in Italian EmergencyMedical Services and, particularly, for this category of workers. The two Italian studies,including a little group of ambulance driver-rescuers, reported inconsistent findings.Hypothesis: This survey investigated for the first time the prevalence and exact profile ofburnout in a large sample of Italian driver-rescuers. As a secondary aim, the study describedhow the items of the Italian version of the Maslach Burnout Inventory-Human ServicesSurvey (MBI-HSS) cluster in components in this sample.Methods: This cross-sectional census survey was conducted from June 2015 through May2016 and involved all the driver-rescuers operating in Sicily, the biggest and most southernregion of Italy. The subjects received a classification according to different profiles of burnout by using the Italian version of the MBI-HSS (burnout, engagement, disengagement,over-extension, and work-inefficacy). In order to explore the existence of independentfactors, a Principal Component Analysis (PCA) was conducted on the survey to obtaineigenvalues >one for each component in the data.Results: The final sample comprised 2,361 responders (96.6{\%} of the initial sample). Of them,29.8{\%} were in burnout (95{\%} confidence interval [CI], 27.8{\%} to 31.8{\%}) and 1.7{\%} presented asevere form (95{\%} CI, 1.1{\%} to 2.3{\%}); 30.0{\%} were engaged in their work (95{\%} CI, 21.0{\%} to34.8{\%}), 24.7{\%} of responders were disengaged (95{\%} CI, 22.9{\%} to 26.5{\%}), 1.2{\%} presented anover-extension profile (95{\%} CI, 0.8{\%} to 1.7{\%}), and 12.6{\%} felt work-inefficacy (95{\%} CI,11.3{\%} to 14.1{\%}). The factors loaded into a five-factor solution at PCA, explaining 48.1{\%}of the variance and partially replicating the three-factor structure. The EmotionalExhaustion (EE) component was confirmed. New dimensions from PersonalAccomplishment (PA) and Depersonalization (DP) sub-scales described empathy and disengagement with patients, respectively, and were responsible for the increased risk of burnout.Conclusions: These results endorse the importance of screening and psychological interventions for this population of emergency workers, where burnout could manifest itself moreinsidiously. It is also possible to speculate that sub-optimal empathy skills could be related tothe disengagement and work-inefficacy feelings registered.",
author = "Laura Ferraro and {La Cascia}, Caterina and {La Barbera}, Daniele and Giuseppe Maniaci and Angelo Chifari and {De Santis}, Antonio and Lucia Sideli",
year = "2020",
language = "English",
pages = "1--8",
journal = "Prehospital and Disaster Medicine",
issn = "1049-023X",
publisher = "World Association for Disaster and Emergency Medicine",

}

TY - JOUR

T1 - A Cross-Sectional Survey on Burnout Prevalence and Profile in the Sicilian Population of Ambulance Driver-Rescuers

AU - Ferraro, Laura

AU - La Cascia, Caterina

AU - La Barbera, Daniele

AU - Maniaci, Giuseppe

AU - Chifari, Angelo

AU - De Santis, Antonio

AU - Sideli, Lucia

PY - 2020

Y1 - 2020

N2 - Introduction: Burnout is present at a high rate in emergency medicine. The ambulancedriver-rescuers, who furnish first aid to the victims, are the non-medical part of theItalian 118-service staff. There is a lack of research on burnout risk in Italian EmergencyMedical Services and, particularly, for this category of workers. The two Italian studies,including a little group of ambulance driver-rescuers, reported inconsistent findings.Hypothesis: This survey investigated for the first time the prevalence and exact profile ofburnout in a large sample of Italian driver-rescuers. As a secondary aim, the study describedhow the items of the Italian version of the Maslach Burnout Inventory-Human ServicesSurvey (MBI-HSS) cluster in components in this sample.Methods: This cross-sectional census survey was conducted from June 2015 through May2016 and involved all the driver-rescuers operating in Sicily, the biggest and most southernregion of Italy. The subjects received a classification according to different profiles of burnout by using the Italian version of the MBI-HSS (burnout, engagement, disengagement,over-extension, and work-inefficacy). In order to explore the existence of independentfactors, a Principal Component Analysis (PCA) was conducted on the survey to obtaineigenvalues >one for each component in the data.Results: The final sample comprised 2,361 responders (96.6% of the initial sample). Of them,29.8% were in burnout (95% confidence interval [CI], 27.8% to 31.8%) and 1.7% presented asevere form (95% CI, 1.1% to 2.3%); 30.0% were engaged in their work (95% CI, 21.0% to34.8%), 24.7% of responders were disengaged (95% CI, 22.9% to 26.5%), 1.2% presented anover-extension profile (95% CI, 0.8% to 1.7%), and 12.6% felt work-inefficacy (95% CI,11.3% to 14.1%). The factors loaded into a five-factor solution at PCA, explaining 48.1%of the variance and partially replicating the three-factor structure. The EmotionalExhaustion (EE) component was confirmed. New dimensions from PersonalAccomplishment (PA) and Depersonalization (DP) sub-scales described empathy and disengagement with patients, respectively, and were responsible for the increased risk of burnout.Conclusions: These results endorse the importance of screening and psychological interventions for this population of emergency workers, where burnout could manifest itself moreinsidiously. It is also possible to speculate that sub-optimal empathy skills could be related tothe disengagement and work-inefficacy feelings registered.

AB - Introduction: Burnout is present at a high rate in emergency medicine. The ambulancedriver-rescuers, who furnish first aid to the victims, are the non-medical part of theItalian 118-service staff. There is a lack of research on burnout risk in Italian EmergencyMedical Services and, particularly, for this category of workers. The two Italian studies,including a little group of ambulance driver-rescuers, reported inconsistent findings.Hypothesis: This survey investigated for the first time the prevalence and exact profile ofburnout in a large sample of Italian driver-rescuers. As a secondary aim, the study describedhow the items of the Italian version of the Maslach Burnout Inventory-Human ServicesSurvey (MBI-HSS) cluster in components in this sample.Methods: This cross-sectional census survey was conducted from June 2015 through May2016 and involved all the driver-rescuers operating in Sicily, the biggest and most southernregion of Italy. The subjects received a classification according to different profiles of burnout by using the Italian version of the MBI-HSS (burnout, engagement, disengagement,over-extension, and work-inefficacy). In order to explore the existence of independentfactors, a Principal Component Analysis (PCA) was conducted on the survey to obtaineigenvalues >one for each component in the data.Results: The final sample comprised 2,361 responders (96.6% of the initial sample). Of them,29.8% were in burnout (95% confidence interval [CI], 27.8% to 31.8%) and 1.7% presented asevere form (95% CI, 1.1% to 2.3%); 30.0% were engaged in their work (95% CI, 21.0% to34.8%), 24.7% of responders were disengaged (95% CI, 22.9% to 26.5%), 1.2% presented anover-extension profile (95% CI, 0.8% to 1.7%), and 12.6% felt work-inefficacy (95% CI,11.3% to 14.1%). The factors loaded into a five-factor solution at PCA, explaining 48.1%of the variance and partially replicating the three-factor structure. The EmotionalExhaustion (EE) component was confirmed. New dimensions from PersonalAccomplishment (PA) and Depersonalization (DP) sub-scales described empathy and disengagement with patients, respectively, and were responsible for the increased risk of burnout.Conclusions: These results endorse the importance of screening and psychological interventions for this population of emergency workers, where burnout could manifest itself moreinsidiously. It is also possible to speculate that sub-optimal empathy skills could be related tothe disengagement and work-inefficacy feelings registered.

UR - http://hdl.handle.net/10447/394286

M3 - Article

SP - 1

EP - 8

JO - Prehospital and Disaster Medicine

JF - Prehospital and Disaster Medicine

SN - 1049-023X

ER -