Evidence map›Paper›PMID 35566442›Full record

ArticleJournal of clinical medicine2022

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

Gaia Perego, Federica Cugnata, Chiara Brombin, Francesca Milano, Emanuele Preti, Rossella Di Pierro, Chiara De Panfilis, Fabio Madeddu, Valentina Elisabetta Di Mattei

Abstract read
In one paragraph

Article in Journal of clinical medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed.

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  6. Mental Health Challenges during the COVID-19 Pandemic.Journal of clinical medicine · 2023
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Gaia PeregoDepartment of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-9968-813X
Federica CugnataSchool of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Chiara BrombinSchool of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.
Francesca MilanoClinical and Health Psychology Unit, IRCCS San Raffaele Scientific Institute, 20132 Milan, Italy.ORCID 0000-0003-3694-4591
Emanuele PretiDepartment of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-5207-4579
Rossella Di PierroDepartment of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.ORCID 0000-0001-7930-1559
Chiara De PanfilisDepartment of Medicine and Surgery, University of Parma, 43121 Parma, Italy.
Fabio MadedduDepartment of Psychology, University of Milano-Bicocca, 20126 Milan, Italy.
Valentina Elisabetta Di MatteiSchool of Psychology, Vita-Salute San Raffaele University, 20132 Milan, Italy.ORCID 0000-0003-0546-3218

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCOVID-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.

methods291 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.

resultsHigher 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.

conclusionsAn 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.

Indexed as

COVID-19healthcare workersmental healthmixed effects modelRandom Effects/Expectation Maximization (RE-EM) Tree

Identifiers

PMID35566442
PMCPMC9103992

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.