Valentina Simonetti

Prof. Valentina Simonetti


Research Focus & Metrics

Academic Career Length

16Years (2011-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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3 February 2021 in Journal of Clinical Nursing
Verified
Journal Article
Open access
PDF file
VSValentina Simonetti
Valentina Simonetti
ADANGELA DURANTE
ANGELA DURANTE
RARossella Ambrosca
Rossella Ambrosca
PAPaola Arcadi
Paola Arcadi
GGGiusi Graziano
Giusi Graziano
Giancarlo CicoliniGiancarlo Cicolini
Giancarlo Cicolini
Aim and objectives: To assess the prevalence of anxiety, sleep disorders and self‐efficacy and their predicting factors among nurses facing COVID‐19.Background: The spread of COVID‐19 throughout the world determined a series of modifications of several National Health Service organisations, with a potential series of psychological consequences among nurses, who were particularly afflicted by this situation of changes and precariousness.Design: A cross‐sectional study was carried out from February–April 2020.Methods: A total of 1,005 nurses employed in different Italian hospital wards, during the COVID‐19 pandemic, were recruited. Analyses were based on descriptive statistics and multivariate logistic regression. The STROBE checklist for cross‐sectional studies was used in this study.Results: The prevalence of sleep disturbances, moderate anxiety and low self‐efficacy was 71.4%, 33.23% and 50.65%, respectively. We found a positive correlation between anxiety and sleep quality (0.408; p < .0001) and negative correlations between self‐efficacy and anxiety (−0.217; p < .0001) and sleep quality and self‐efficacy (−0.134; p < .0001).The factor independently associated with all variables was gender. Females were more prone to sleep disturbances, anxiety and low levels of self‐efficacy than males (p < .05).Conclusions: The prevalence of anxiety, sleep disorders and low self‐efficacy among Italian nurses during the COVID‐19 pandemic was high. Healthcare managers should recognise and consider these results to reduce the risk of the onset of major mental problems that could result in post‐traumatic stress disorder.Relevance to clinical practice: Nurses facing major incidents as COVID‐19 pandemic are among healthcare personnel exposed to a high risk to develop psychological disturbance that should be assessed and recognised, in order to find helpful coping strategies to inform support services and avoid to hesitate in post‐traumatic stress disorders.

1 April 2015 in Nurse Education Today
Verified
Journal Article
Closed access
VSValentina Simonetti
Valentina Simonetti
DCDania Comparcini
Dania Comparcini
MFMaria Elena Flacco
Maria Elena Flacco
PGPamela Di Giovanni
Pamela Di Giovanni
Giancarlo CicoliniGiancarlo Cicolini
Giancarlo Cicolini

1 January 2022 in International Journal of Nursing Studies
Verified
Journal Article
Closed access
VSValentina Simonetti
Valentina Simonetti
MTMarco Tomietto
Marco Tomietto
DCDania Comparcini
Dania Comparcini
NVNadezhda Vankova
Nadezhda Vankova
SMStefano Marcelli
Stefano Marcelli
Giancarlo CicoliniGiancarlo Cicolini
Giancarlo Cicolini

9 January 2021 in Journal of Nursing Management
Verified
Journal Article
Open access
PDF file
PAPaola Arcadi
Paola Arcadi
VSValentina Simonetti
Valentina Simonetti
RARossella Ambrosca
Rossella Ambrosca
Giancarlo CicoliniGiancarlo Cicolini
Giancarlo Cicolini
SSSilvio Simeone
Silvio Simeone
ADANGELA DURANTE
ANGELA DURANTE
Aim The aim of this study was to explore the experience of Italian nurses engaged in caring for patients with COVID‐19. Background COVID‐19 found the healthcare world unprepared to face an emergency of such magnitude. Italy was one of the most affected European countries, with more than 250,000 cases. Understanding the impact of events of this magnitude on nurses provides a framework of knowledge on which educational training could be based to face similar situations in the future to prevent further breakdown. Methods The hermeneutic approach by Cohen was used. Semi‐structured interviews were conducted using a voice‐over Internet protocol. Interviews were transcribed, read in depth, and analysed. Results Twenty nurses were interviewed. Four themes were extracted: uncertainty and fear, alteration of perceptions of time and space, change in the meaning of ‘to care’, and changes in roles and relationships. Conclusions Psychological support in association with emergency training prevent stress and help tackle compassion fatigue. Implications for nursing management Policies to improve nursing science should be developed to ensure better quality of care, a higher number of professionals, and, consequently, an increase in the safety of patients.

1 June 2014 in International Journal of Nursing Studies
Verified
Journal Article
Closed access
Giancarlo CicoliniGiancarlo Cicolini
Giancarlo Cicolini
VSValentina Simonetti
Valentina Simonetti
DCD. Comparcini
D. Comparcini
ICI. Celiberti
I. Celiberti
Marta Di NicolaMarta Di Nicola
Marta Di Nicola
Lamberto ManzoliLamberto Manzoli
Lamberto Manzoli

22 February 2024 in International Journal of Nursing Studies
Verified
Journal Article
Open access
BNBeth Nichol
Beth Nichol
JMJemma McCready
Jemma McCready
Goran ErfaniGoran Erfani
Goran Erfani
DCDania Comparcini
Dania Comparcini
VSValentina Simonetti
Valentina Simonetti
MTMarco Tomietto
Marco Tomietto
Socially assistive robots offer an alternate source of connection for interventions within health and social care amidst a landscape of technological advancement and reduced staff capacity. There is a need to summarise the available systematic reviews on the health and wellbeing impacts to evaluate effectiveness, explore potential moderators and mediators, and identify recommendations for future research and practice. To explore the effect of socially assistive robots within health and social care on psychosocial, behavioural, and physiological health and wellbeing outcomes across the lifespan (PROSPERO registration number: CRD42023423862). An umbrella review utilising meta-analysis, narrative synthesis, and vote counting by direction of effect. 14 databases were searched (ProQuest Health Research Premium collection, Scopus, PubMed, Web of Science, ASM Digital Library, IEEE Xplore, Cochrane Reviews, and EPISTEMONIKOS) from 2005 to May 4, 2023. Systematic reviews including the effects of socially assistive robots on health outcomes were included and a pooled meta-analysis, vote counting by direction of effect, and narrative synthesis were applied. The second version of A MeaSurement Tool to Assess systematic Reviews (AMSTAR-2) was applied to assess quality of included reviews. 35 reviews were identified, most focusing on older adults with or without dementia (n = 24). Pooled meta-analysis indicated no effect of socially assistive robots on quality of life (standard mean difference (SMD) = 0.43), anxiety (SMD = -0.02), or depression (SMD = 0.21), although vote counting identified significant improvements in social interaction, mood, positive affect, loneliness, stress, and pain across the lifespan, and narrative synthesis identified an improvement in anxiety in children. However, some reviews reported no significant difference between the effects of socially assistive robots and a plush toy, and there was no effect of socially assistive robots on psychiatric outcomes including agitation, neuropsychiatric symptoms, and medication use. Socially assistive robots show promise for improving non-psychiatric outcomes such as loneliness, positive affect, stress, and pain, but exert no effect on psychiatric outcomes such as depression and agitation. The main mechanism of effect within group settings appeared to be the stimulation of social interaction with other humans. Limitations include the low quality and high amount of overlap between included reviews. Socially assistive robots may help to improve loneliness, social interaction, and positive affect in older adults, decrease anxiety and distress in children, and improve mood, stress, and reduce pain across the lifespan. However, before recommendations for socially assistive robots can be made, a cost-effectiveness analysis of socially assistive robots to improve mood across the lifespan, and a quantitative analysis of the effects on pain, anxiety, and distress in children are required.