The "Healthcare Workers' Wellbeing [Benessere Operatori]" Project: A Longitudinal Evaluation of Psychological Responses of Italian Healthcare Workers during the COVID-19 Pandemic

被引:13
作者
Perego, Gaia [1 ]
Cugnata, Federica [2 ,3 ]
Brombin, Chiara [2 ,3 ]
Milano, Francesca [4 ]
Preti, Emanuele [1 ]
Di Pierro, Rossella [1 ]
De Panfilis, Chiara [5 ]
Madeddu, Fabio [1 ]
Di Mattei, Valentina Elisabetta [2 ,4 ]
机构
[1] Univ Milano Bicocca, Dept Psychol, I-20126 Milan, Italy
[2] Univ Vita Salute San Raffaele, Sch Psychol, I-20132 Milan, Italy
[3] Univ Vita Salute San Raffaele, Univ Ctr Stat Biomed Sci CUSSB, I-20132 Milan, Italy
[4] IRCCS San Raffaele Sci Inst, Clin & Hlth Psychol Unit, I-20132 Milan, Italy
[5] Univ Parma, Dept Med & Surg, I-43121 Parma, Italy
关键词
COVID-19; healthcare workers; mental health; mixed effects model; Random Effects; Expectation Maximization (RE-EM) Tree; MENTAL-HEALTH; COPING STRATEGIES; PERCEIVED STRESS; MULTIDIMENSIONAL SCALE; DEPRESSION; ANXIETY; PREVALENCE; IMPACT; DISORDERS; VERSION;
D O I
10.3390/jcm11092317
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
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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页数:17
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