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Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a three-wave longitudinal study

Title: Analysis of healthcare workers’ mental health during the COVID-19 pandemic: Evidence from a three-wave longitudinal study
Authors: Perego, Gaia; Cugnata, Federica; Brombin, Chiara; Milano, Francesca; Mazzetti, Martina; Taranto, Paola; Preti, Emanuele; Di Pierro, Rossella; De Panfilis, Chiara; Madeddu, Fabio; Di Mattei, Valentina E
Source: Journal of Health Psychology ; volume 28, issue 14, page 1279-1292 ; ISSN 1359-1053 1461-7277
Publisher Information: SAGE Publications
Publication Year: 2023
Description: The “Healthcare workers’ wellbeing [Benessere Operatori]” project is an exploratory longitudinal study assessing healthcare workers’ mental health at three different time points over a 14-month period during the COVID-19 pandemic. We collected socio-demographic and work-related information and assessed the perceived social support, coping strategies, and levels of depression, anxiety, insomnia, anger, burnout, and PTSD symptoms. In total, 325 Italian healthcare workers (i.e. physicians, nurses, other healthcare workers, and clerks) participated in the first initial survey and either the second or third subsequent survey. Participants reported subclinical levels of psychiatric symptoms that remained mostly unchanged across time, except for an increase in stress, depression, state anger, and emotional exhaustion symptoms. Despite subclinical levels, healthcare workers’ distress can adversely affect the quality of care, patient satisfaction, and medical error rates. Therefore, implementing interventions to improve healthcare workers’ wellbeing is required.
Document Type: article in journal/newspaper
Language: English
DOI: 10.1177/13591053231168040
Availability: https://doi.org/10.1177/13591053231168040; https://journals.sagepub.com/doi/pdf/10.1177/13591053231168040; https://journals.sagepub.com/doi/full-xml/10.1177/13591053231168040
Rights: https://journals.sagepub.com/page/policies/text-and-data-mining-license
Accession Number: edsbas.E6F160F8
Database: BASE