Evidence map›Paper›PMID 35162851›Full record

ArticleInternational journal of environmental research and public health2022

A Comparative Cross-Sectional Study Assessing the Psycho-Emotional State of Intensive Care Units' Physicians and Nurses of COVID-19 Hospitals of a Russian Metropolis.

Artem Kashtanov, Ekaterina Molotok, Andrey Yavorovskiy, Alexander Boyarkov, Yuriy Vasil'ev, Ali Alsaegh, Sergey Dydykin, Olesya Kytko, Renata Meylanova, Yulianna Enina and 7 more

Open access · goldAbstract read
In one paragraph

Article in International journal of environmental research and public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 3 pooled it
3.9field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 3 syntheses or guidelines pooled it, 14 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Article
  5. Article
  6. Article
  7. 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

17 authors at 6 institutions in 3 countries.

Artem KashtanovN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0002-9648-1720
Ekaterina MolotokInstitute of Psychological and Social Work, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0003-0032-151X
Andrey YavorovskiyN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Alexander BoyarkovDepartment of Anaesthesiology and Reanimation, City Clinical Hospital No. 40, Kommunarka, 115516 Moscow, Russia.
Yuriy Vasil'evN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.ORCID 0000-0003-3541-6068
Ali AlsaeghDepartment of General Dentistry, Belarusian Medical Academy of Postgraduate Education, 220013 Minsk, Belarus.ORCID 0000-0002-4737-9498
Sergey DydykinN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Olesya KytkoN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Renata MeylanovaN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Yulianna EninaE.V. Borovsky Institute of Dentistry, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Vasiliy TroitskiyN.V. Sklifosovskiy Institute of Clinical Medicine, I.M. Sechenov First Moscow State Medical University (Sechenov University), 119991 Moscow, Russia.
Marina KapitonovaFaculty of Medicine and Health Sciences, Universiti Malaysia Sarawak (UNIMAS), Kota Samarahan 94300, Sarawak, Malaysia.
Sergey VaitsInstitute of Medicine, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.
Tat'yana VaitsInstitute of Medicine, Peoples' Friendship University of Russia (RUDN University), 117198 Moscow, Russia.
Rinat SaleevFaculty of Dentistry, Kazan State Medical University, 420012 Kazan, Russia.
Gulshat SaleevaFaculty of Dentistry, Kazan State Medical University, 420012 Kazan, Russia.
Nail SaleevFaculty of Dentistry, Kazan State Medical University, 420012 Kazan, Russia.
Sechenov University · RUKazan State Medical University · RUPeoples' Friendship University of Russia · RUBelarusian Medical Academy of Post-Graduate Education · BYCity Clinical Hospital · RUUniversiti Malaysia Sarawak · MY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Working in intensive care units (ICUs) is stressful and potentially leads to various psycho-emotional disorders. Today, this issue represents a serious concern to the healthcare sector and affects the quality of healthcare provided. This study aimed to assess and compare the psycho-emotional state in COVID-19 and non-COVID-19 hospitals' ICU healthcare workers (HCWs). From January to July 2021, we conducted an anonymous cross-sectional web survey of ICU physicians and nurses (

Indexed as

Burnout, ProfessionalCOVID-19PhysiciansCross-Sectional StudiesHospitalsHumansIntensive Care UnitsSARS-CoV-2Surveys and QuestionnairesaggressionCOVID-19depersonalizationemotional exhaustionemploymenthealthcare workersintensive care unitoccupational burnoutoccupational stresspsycho-emotional states

Identifiers

PMID35162851
PMCPMC8834761
OpenAlexW4210662665

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.