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.

Borrelli, I., Santoro, P. E., Fiorilli, C., Angelini, G., Buonomo, I., Benevene, P., Romano, L., Gualano, M. R., Amantea, C., Moscato, U., A new tool to evaluate burnout: the Italian version of the BAT for Italian healthcare workers, <<BMC PUBLIC HEALTH>>, 2022; 22 (1): 474-N/A. [doi:10.1186/s12889-022-12881-y] [http://hdl.handle.net/10807/198509]

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

Borrelli, Ivan
Primo
;
Santoro, Paolo Emilio
Secondo
;
Amantea, Carlotta;Moscato, Umberto
Ultimo
2022

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.
2022
Inglese
Borrelli, I., Santoro, P. E., Fiorilli, C., Angelini, G., Buonomo, I., Benevene, P., Romano, L., Gualano, M. R., Amantea, C., Moscato, U., A new tool to evaluate burnout: the Italian version of the BAT for Italian healthcare workers, <<BMC PUBLIC HEALTH>>, 2022; 22 (1): 474-N/A. [doi:10.1186/s12889-022-12881-y] [http://hdl.handle.net/10807/198509]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10807/198509
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