Evidence map›Paper›PMID 39440170›Full record

ArticleFrontiers in public health2024

Evaluation of the mental health status of intensive care unit healthcare workers at the beginning of COVID-19 pandemic.

Ceren Meriç Özgündüz, Murat Bıçakçıoğlu, Ayse Sahin Tutak, Arman Özgündüz

Abstract read
In one paragraph

Article in Frontiers in public health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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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

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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

1 citing paper in PubMed.

  1. 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

4 authors.

Ceren Meriç ÖzgündüzAdıyaman University Research and Training Hospital, Psychiatry Department, Adıyaman, Türkiye.
Murat BıçakçıoğluAdıyaman University Research and Training Hospital, Department of Anesthesiology and Reanimation, Adıyaman, Türkiye.
Ayse Sahin TutakAdıyaman University Faculty of Medicine, Department of Internal Diseases, Adıyaman, Türkiye.
Arman ÖzgündüzAdıyaman University Research and Training Hospital, Neurosurgery Department, Adıyaman, Türkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: During pandemic periods, mental health issues are highly prevalent, particularly among healthcare workers who are at a higher risk of developing psychiatric disorders. The aim of this study is to evaluate the mental health status of the intensive care unit (ICU) healthcare workers, who play a vital role in managing the COVID-19 pandemic, in terms of the quality of sleep, levels of depressive and anxiety symptoms, stress and to determine the factors that affect their mental health. Methods: The research was conducted in April 2020 and incorporated a total of 79 participants working in an university hospital ICUs in Turkey. Pittsburgh Sleep Quality Index (PSQI), Depression Anxiety Stress Scale 42 (DASS-42), Beck Depression Inventory (BDI), and Beck Anxiety Inventory (BAI) were applied. Results: Among the participants, 58 individuals comprising 73.4% of the cohort were working in the ICUs, managing patients infected with COVID-19. Those working in ICUs with COVID-19 patients had significantly higher DASS-S, BAI, and BDI scores. Doctors' BDI scores were significantly lower compared to both nurses and other healthcare workers. Participants exhibiting COVID-19 symptoms manifested significantly higher BAI scores in compared to those without such symptoms. Conclusion: Healthcare workers involved in ICUs with COVID-19 patients were more significantly affected psychologically, doctors had lower depressive symptoms as compared to other healthcare workers. In addition, individuals with COVID-19 symptoms demonstrated significantly higher levels of anxiety. The findings of our study emphasize the significance of providing psychological support to healthcare workers throughout pandemics.

Indexed as

AnxietyCOVID-19DepressionHealth PersonnelIntensive Care UnitsMental HealthAdultFemaleHumansMaleMiddle AgedPandemicsPsychiatric Status Rating ScalesSARS-CoV-2Stress, PsychologicalSurveys and QuestionnairesanxietyCOVID-19depressionhealthcare workersintensive care unitmental healthsleep qualitystress

Identifiers

PMID39440170
PMCPMC11493718

What OpenQuestion holds

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LicenceCC BY
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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.