Evidence map›Paper›PMID 34064610›Full record

ArticleInternational journal of environmental research and public health2021

Factors Related to Nurses' Burnout during the First Wave of Coronavirus Disease-19 in a University Hospital in Italy.

Francesco Bellanti, Aurelio Lo Buglio, Erika Capuano, Michał Dobrakowski, Aleksandra Kasperczyk, Sławomir Kasperczyk, Antonio Ventriglio, Gianluigi Vendemiale

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed, 1 pooled it
16.0field-weighted citation impact, top 1% of its field
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

21 citing papers in PubMed, 1 synthesis or guideline pooled it, 61 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Depicting occupational trauma concepts impacting nurse well-being during the COVID-19 pandemic.International journal of qualitative studies on health and well-being · 2024
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Psychosocial Burden and Quality of Life of Surveyed Nurses during the SARS-CoV-2 Pandemic.International journal of environmental research and public health · 2023
    Article
  12. Article
  13. Article
  14. Article
  15. Predictors of burnout in female nurses during the COVID-19 pandemic.International journal of nursing practice · 2022
    Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. Article
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

8 authors at 2 institutions in 2 countries.

Francesco BellantiDepartment of Medical and Surgical Sciences, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.ORCID 0000-0002-8196-7373
Aurelio Lo BuglioDepartment of Medical and Surgical Sciences, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.ORCID 0000-0003-1569-3658
Erika CapuanoDepartment of Medical and Surgical Sciences, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.
Michał DobrakowskiDepartment of Biochemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland.
Aleksandra KasperczykDepartment of Biochemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland.
Sławomir KasperczykDepartment of Biochemistry, Faculty of Medical Sciences in Zabrze, Medical University of Silesia in Katowice, Jordana 19, 41-808 Zabrze, Poland.
Antonio VentriglioDepartment of Clinical and Experimental Medicine, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.ORCID 0000-0002-3934-7007
Gianluigi VendemialeDepartment of Medical and Surgical Sciences, University of Foggia, Viale Pinto 1, 71122 Foggia, Italy.
University of Foggia · ITMedical University of Silesia · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Safety of healthcare workers in hospitals is a major concern during the COVID-19 pandemic. Being exposed for several working hours per day to infected patients, nurses dealing with COVID-19 face several issues that lead to physical/psychological breakdown. This study focused on burnout and its associated factors in nurses working in an Italian University Hospital during the first wave of COVID-19 pandemic. We designed a web-based cross-sectional study addressed to nurses working at the University Hospital in Foggia, Italy. The online questionnaire was organized in sections aimed at collecting demographic and occupational variables, including the Maslach Burnout Inventory (MBI) and the Oldenburg Burnout Inventory (OBI). Two hundred and ninety-three nurses agreed to participate. According to MBI, we reported moderate/high emotional exhaustion in 76.5%, depersonalization in 50.2%, and personal gratification in 54.6% of participants. COVID-19-related burnout measured by OBI resulted medium/high in 89.1% of participants. Among demographic and occupational factors, a multivariate regression analysis identified emotional support, consideration of leaving job, and workload as predictive of burnout in nurses. In conclusion, this study suggests that the improvement of employer and family support to nurses, as well as reduction of workload and job-related stress, would contribute to reducing burnout in nurses during COVID-19 pandemics.

Indexed as

Burnout, ProfessionalCOVID-19NursesBurnout, PsychologicalCross-Sectional StudiesHospitals, UniversityHumansItalyPandemicsSARS-CoV-2Surveys and QuestionnairesburnoutCoronavirus disease-19nurses

Identifiers

PMID34064610
PMCPMC8151382
OpenAlexW3162346480

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.