Evidence map›Paper›PMID 36864854›Full record

ArticleIndian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine2022

Depression, Anxiety, Stress, and Insomnia amongst COVID Warriors across Several Hospitals after Second Wave: Have We Acclimatized? A Cross-sectional Survey.

Santvana Kohli, Sahil Diwan, Ajay Kumar, Sanchaita Kohli, Shipra Aggarwal, Aakar Sood, Harish Chander Sachdeva, G Usha

Open access · diamondAbstract read
In one paragraph

Article in Indian journal of critical care medicine : peer-reviewed, official publication of Indian Society of Critical Care Medicine, 2022. 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
0.4field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  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

8 authors at 1 institution in 2 countries.

Santvana KohliDepartment of Anesthesia and Critical Care Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0003-1410-6933
Sahil DiwanDepartment of Anesthesia and Critical Care Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0002-6489-802X
Ajay KumarDepartment of Anesthesia and Critical Care Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0001-5643-7955
Sanchaita KohliDepartment of Maxillofacial Surgery, CK Birla Hospital, New Delhi, India.ORCID https://orcid.org/0000-0002-3869-4197
Shipra AggarwalDepartment of Anesthesia and Critical Care Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0003-2709-1486
Aakar SoodDepartment of Maxillofacial Surgery, CK Birla Hospital, New Delhi, India.ORCID https://orcid.org/0000-0002-5329-2428
Harish Chander SachdevaDepartment of Anesthesia and Intensive Care, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0003-4476-0506
G UshaDepartment of Anesthesia and Critical Care Medicine, Vardhman Mahavir Medical College and Safdarjung Hospital, New Delhi, India.ORCID https://orcid.org/0000-0001-5472-5769
Vardhman Mahavir Medical College & Safdarjung Hospital · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Coronavirus disease-2019 (COVID-19) pandemic has been a cause of significant mental health disturbances in medical health personnel. However, 18 months into the pandemic, healthcare workers (HCWs) have become accustomed to the heightened stress and anxiety that comes with caring for COVID patients. Through this study, we aim to measure depression, anxiety, stress, and insomnia in doctors with the help of validated scales. Materials and methods: This was a cross-sectional study with an online survey design conducted among doctors from major hospitals in New Delhi. The questionnaire included participant demographics, including designation, specialty, marital status, and living arrangements. This was followed by questions from the validated depression, anxiety, stress scale (DASS-21), and insomnia severity index (ISI). Depression, anxiety, stress, and insomnia scores were calculated for each participant, and the data were analyzed statistically. Results: The mean scores of the whole study population showed no depression, moderate anxiety, mild stress, and subthreshold insomnia. Female doctors exhibited more psychological issues (mild depression and stress, moderate anxiety, but only subthreshold insomnia) as compared to males (mild anxiety, but no depression, stress, and insomnia). Junior doctors also had higher depression, anxiety, and stress scores than senior doctors. Similarly, single doctors, those living alone, and those not having kids had higher DASS and insomnia scores. Discussion: HCWs have been under tremendous mental stress during this pandemic which is influenced by multiple factors. Female sex, junior doctors, working on the frontline, not being in a relationship, and living alone may be some of the factors recognized in our study and corroborated by many authors, which may increase the chances of depression, anxiety, and stress in them. HCWs need regular counseling, time off for rejuvenation, and social support to overcome this hurdle. How to cite this article: Kohli S, Diwan S, Kumar A, Kohli S, Aggarwal S, Sood A,

Indexed as

AnxietyCOVID-19DASSDepressionInsomniaInsomnia severity indexMental HealthPandemicStress

Identifiers

PMID36864854
PMCPMC9973192
OpenAlexW4283723826

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.