Evidence map›Paper›PMID 39267945›Full record

ArticlePeerJ2024

Burnout experience among healthcare workers post third COVID-19 wave in India; findings of a cross-sectional study.

Mohammad Sidiq, Sai Jaya Prakash Ch, Balamurugan Janakiraman, Aksh Chahal, Imran Khan, Surbhi Kaura, Faizan Kashoo, Farha Khan, Shabnam Khan, Chhavi Arora Sehgal and 3 more

Abstract read
In one paragraph

Article in PeerJ, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–field-weighted citation impact
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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. 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

13 authors.

Mohammad SidiqDepartment of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Sai Jaya Prakash ChPDS Institute of Physiotherapy, Kaloji Narayana Rao University of Health Sciences, Purani Haveli, Hyderabad, India.
Balamurugan JanakiramanSRM College of Physiotherapy, SRM Institute of Science and Technology (SRMIST), Kattankulathur, Chennai, Tamil Nadu, India.
Aksh ChahalDepartment of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Imran KhanDepartment of Physiotherapy, University of Engineering and Management, Jaipur, Rajasthan, India.
Surbhi KauraDepartment of Physiotherapy, School of Allied Health Sciences, Galgotias University, Greater Noida, Uttar Pradesh, India.
Faizan KashooDepartment of Physical Therapy and Health Rehabilitation, College of Applied Medical Sciences, Majmaah University, Al Majmaah, Saudi Arabia.
Farha KhanDepartment of Dental Surgery, Northern Area Armed Forces Hospital, Hafar Al Batin, Northern, Saudi Arabia.
Shabnam KhanCentre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia University, New Delhi, India.
Chhavi Arora SehgalCentre for Physiotherapy and Rehabilitation Sciences, Jamia Millia Islamia University, New Delhi, India.
Shashank BaranwalCollege of Physiotherapy and Occupational Therapy, Nims University, Jaipur, Rajasthan, India.
Sheenam PopliDepartment of Physiotherapy, Suresh Gyan Vihar University, Jaipur, Rajathan, India.
Mshari AlghadierDepartment of Health and Rehabilitation Sciences, College of Applied Medical Sciences, Prince Sattam Bin Abdulaziz University, Alkharj, AR Riyadh Province, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The pandemic exacerbated burnout experienced by healthcare personnel, whose mental health had long been a public health concern before COVID-19. This study used the Copenhagen burnout inventory (CBI) tool to assess burnout and identify predictors among Indian healthcare workers managing COVID-19. Methods: A cross-sectional study was conducted from June to December 2022, after the third pandemic wave. A web-based, fillable Google form was used to recruit COVID-19 management professionals from multiple Jaipur district hospitals. Healthcare professionals provided socio-demographic, work-related, and CBI scores. Multiple linear regression was used to control for model covariant independent variables. Results: We evaluated the responses of a total of 578 participants with a mean age of 36.59 ± 9.1 years. Based on the CBI cut-off score of 50, 68.1% reported burnout. A total of 67.5%, 56.4%, and 48.6% of healthcare workers reported work-related, personal, and patient-related burnout, respectively. High burnout scores were significantly associated with the nursing profession ( Conclusion: This study identified key indicators that need further emphasis and the need for organizational and individual-level burnout monitoring in healthcare delivery sectors. Health workers continue to experience burnout due to a combination of personal, professional, and patient-related factors. This underscores the need for targeted organizational and individual interventions. The findings also suggest that the CBI tool could identify healthcare worker burnout risk groups.

Indexed as

Burnout, ProfessionalCOVID-19Health PersonnelSARS-CoV-2AdultCross-Sectional StudiesFemaleHumansIndiaMaleMiddle AgedPandemicsSurveys and QuestionnairesBurnoutCOVID-19Cross sectional studyHealthcare workersIndia

Identifiers

PMID39267945
PMCPMC11391938

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.