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BMC public health
03 09, 2022;22 (1): 474.

A new tool to evaluate burnout: the Italian version of the BAT for Italian healthcare workers.

Ivan Borrelli, Paolo Emilio Santoro, Caterina Fiorilli, Giacomo Angelini, Ilaria Buonomo, Paula Benevene, Luciano Romano, Maria Rosaria Gualano, Carlotta Amantea, Umberto Moscato
Author Information
  1. Ivan Borrelli: Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy. Ivan.Borrelli@unicatt.it.
  2. Paolo Emilio Santoro: Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy.
  3. Caterina Fiorilli: Department of Human Sciences, University of LUMSA, Rome, Italy.
  4. Giacomo Angelini: Department of Human Sciences, University of LUMSA, Rome, Italy.
  5. Ilaria Buonomo: Department of Human Sciences, University of LUMSA, Rome, Italy.
  6. Paula Benevene: Department of Human Sciences, University of LUMSA, Rome, Italy.
  7. Luciano Romano: Department of Human Sciences, European University of Rome, Rome, Italy.
  8. Maria Rosaria Gualano: Department of Public Health, University of Turin, Turin, Italy.
  9. Carlotta Amantea: Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy.
  10. Umberto Moscato: Department of Life Sciences and Public Health, Catholic University of the Sacred Heart, Rome, Italy.
PMID: 35264130 DOI: 10.1186/s12889-022-12881-y

Abstract

BACKGROUND: Healthcare workers (HCWs) represents one of the highest-risk population to develop burnout symptoms. Recently, a new tool has been designed to measure several dimensions that capture an exhaustive expression of burnout symptoms by six dimensions (i.e., exhaustion; mental distance; cognitive impairment; emotional impairment; psychological distress; psychosomatic complaints).
METHODS: The current study aims to adapt the Burnout Assessment Tool (BAT) to an Italian Healthcare workers' sample confirming the original second-order factorial structure. Furthermore, we expected to find good indexes of reliability and validity tests. Participants were 697 Italian Health Care Workers (Female = 68.44%; mean age = 36.47; SD = 11.20). Data were collected by self-report questionnaires submitted by the snowball method.
RESULTS: Findings show a good fit of the BAT's structure, confirming the hypothesized second-order factorial model. Furthermore, good reliability has been established with the study's measures.
CONCLUSIONS: The BAT for HCWs is eligible as a new tool to evaluate burnout in the at-risk HCWs as a multi-facet constellation of symptoms.

Keywords

Burnout Healthcare workers Occupational Psychological distress Psychosomatic Questionnaire Tool Validation

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MeSH Term

Adult
Burnout, Professional
Burnout, Psychological
Female
Health Personnel
Humans
Reproducibility of Results
Surveys and Questionnaires
Journal Article

Word Cloud

Created with Highcharts 10.0.0ItalianHealthcareworkersHCWsburnoutsymptomsnewtoolBATgooddimensionsimpairmentdistressBurnoutToolconfirmingsecond-orderfactorialstructureFurthermorereliabilityevaluateBACKGROUND:representsonehighest-riskpopulationdevelopRecentlydesignedmeasureseveralcaptureexhaustiveexpressionsixieexhaustionmentaldistancecognitiveemotionalpsychologicalpsychosomaticcomplaintsMETHODS:currentstudyaimsadaptAssessmentworkers'sampleoriginalexpectedfindindexesvaliditytestsParticipants697HealthCareWorkersFemale = 6844%meanage = 3647SD = 1120Datacollectedself-reportquestionnairessubmittedsnowballmethodRESULTS:FindingsshowfitBAT'shypothesizedmodelestablishedstudy'smeasuresCONCLUSIONS:eligibleat-riskmulti-facetconstellationburnout:versionhealthcareOccupationalPsychologicalPsychosomaticQuestionnaireValidation

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