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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.
  • 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 in English | MEDLINE | ID: covidwho-1818160
ABSTRACT

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.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Jcm11092317

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Experimental Studies / Observational study / Prognostic study / Reviews Language: English Year: 2022 Document Type: Article Affiliation country: Jcm11092317