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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
ZENODO
Dataset . 2022
Data sources: ZENODO
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The COVID-related mental health load of neonatal healthcare professionals: a multicenter study in Italy

Authors: Gagliardi Luigi; Grumi Serena; Gentile Marzia; Cacciavellani Roberta; Placidi Giulia; Vaccaro Angelina; Maggi Claudia; +10 Authors

The COVID-related mental health load of neonatal healthcare professionals: a multicenter study in Italy

Abstract

This database includes the raw data linked with the paper “The COVID-related mental health load of neonatal healthcare professionals: a multicenter study in Italy”. This study is part of the Staff and Parental Adjustment to COVID-19 Epidemics – Neonatal Experience in Tuscany” (SPACE-NET) multicenter project. In this paper, we report data on the mental health load experienced by physicians, nurses and other healthcare professionals who work in neonatal wards (NWs) and neonatal intensive care units (NICUs). Procedures All healthcare personnel of seven level-3 and six level-2 neonatal units in Tuscany (Italy) were invited to complete an online survey. We measured the level of physical exposure to COVID-19 risk, self-reported pandemic-related stress, and mental health load outcomes (i.e., anxiety, depression, burnout, psychosomatic, and post-traumatic symptoms) using validated, self-administered questionnaires. Analytical plan For variables depression, anxiety, burnout, post-traumatic symptoms a dichotomous variable [above the clinical cutoff/below the cutoff] was computed, and binomial regressions were used to estimate the probability of scoring above cutoff, including the following predictors in the model: setting, job, job experience, and pandemic-related stress index. As all mental health domains were correlated, in order to reduce the number of statistical comparisons and obtain an overall index, we used a principal component analysis (PCA) to calculate a global mental health load index (MHLI). Findings in brief Scores above the clinical cutoff were reported by 91% of participants for symptoms of anxiety, 29% for post-traumatic symptoms, 13% for burnout, and 3% for symptoms of depression. Pandemic-related stress was significantly associated with all the measured mental health load outcomes, with a Risk Ratio of 3.33 for clinically relevant anxiety, 2.39 for post-traumatic symptoms, 1.79 for emotional exhaustion, and 2.51 for depression.

Funding: bando ricerca Regione Toscana COVID-19

Keywords

NICU, stress, burnout, COVID-19, healthcare professionals, nurses

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
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