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The "Healthcare Workers' Wellbeing [Benessere Operatori]" Project: A Longitudinal Evaluation of Psychological Responses of Italian Healthcare Workers during the COVID-19 Pandemic.
Perego, Gaia; Cugnata, Federica; Brombin, Chiara; Milano, Francesca; Preti, Emanuele; Di Pierro, Rossella; De Panfilis, Chiara; Madeddu, Fabio; Di Mattei, Valentina Elisabetta.
Afiliación
  • Perego G; Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.
  • Cugnata F; School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
  • Brombin C; University Centre for Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, 20132 Milan, Italy.
  • Milano F; School of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
  • Preti E; University Centre for Statistics in the Biomedical Sciences (CUSSB), Vita-Salute San Raffaele University, 20132 Milan, Italy.
  • Di Pierro R; Clinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.
  • De Panfilis C; Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.
  • Madeddu F; Department of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.
  • Di Mattei VE; Department of Medicine and Surgery, University of Parma, 43121 Parma, Italy.
J Clin Med ; 11(9)2022 Apr 21.
Article en En | MEDLINE | ID: mdl-35566442
BACKGROUND: COVID-19 forced healthcare workers to work in unprecedented and critical circumstances, exacerbating already-problematic and stressful working conditions. The "Healthcare workers' wellbeing (Benessere Operatori)" project aimed at identifying psychological and personal factors, influencing individuals' responses to the COVID-19 pandemic. METHODS: 291 healthcare workers took part in the project by answering an online questionnaire twice (after the first wave of COVID-19 and during the second wave) and completing questions on socio-demographic and work-related information, the Depression Anxiety Stress Scale-21, the Insomnia Severity Index, the Impact of Event Scale-Revised, the State-Trait Anger Expression Inventory-2, the Maslach Burnout Inventory, the Multidimensional Scale of Perceived Social Support, and the Brief Cope. RESULTS: Higher levels of worry, worse working conditions, a previous history of psychiatric illness, being a nurse, older age, and avoidant and emotion-focused coping strategies seem to be risk factors for healthcare workers' mental health. High levels of perceived social support, the attendance of emergency training, and problem-focused coping strategies play a protective role. CONCLUSIONS: An innovative, and more flexible, data mining statistical approach (i.e., a regression trees approach for repeated measures data) allowed us to identify risk factors and derive classification rules that could be helpful to implement targeted interventions for healthcare workers.
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Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article

Texto completo: 1 Base de datos: MEDLINE Tipo de estudio: Evaluation_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Clin Med Año: 2022 Tipo del documento: Article