Evidence map›Paper›PMID 38853793›Full record

ArticleIndustrial psychiatry journal

Compassion satisfaction, burnout, and secondary traumatic stress among nurses after the second wave of the COVID-19 pandemic.

Priyanshi Dixit, Saumya P Srivastava, Surya Kant Tiwari, Soni Chauhan, Ravi Bishnoi

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In one paragraph

Article in Industrial psychiatry journal. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
–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

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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

8 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

5 authors.

Priyanshi DixitDepartment of Nursing Services, All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India.
Saumya P SrivastavaNursing Tutor, Vivekanand College of Nursing, Lucknow, Uttar Pradesh, India.
Surya Kant TiwariNursing Tutor, Yatharth Nursing College and Paramedical Institute, Chandauli, Uttar Pradesh, India.
Soni ChauhanNursing Tutor, Yatharth Nursing College and Paramedical Institute, Chandauli, Uttar Pradesh, India.
Ravi BishnoiDepartment of Nursing Services, All India Institute of Medical Sciences, Raebareli, Uttar Pradesh, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Nurses frequently experience compassion fatigue and burnout, which impact their personal lives and patient care. The COVID-19 pandemic additionally caused stress, uncertainty, and fear of death among healthcare professionals. Aim: To assess professional quality of life (ProQoL) among nurses after the second wave of the COVID-19 pandemic. Material and Methods: A web-based cross-sectional study was conducted among 203 nurses using a purposive sampling technique in the month of September to December 2021. Data were collected using a self-administered ProQoL scale version 5. Statistical Analysis: Descriptive and inferential statistics were used. Kolmogorov-Smirnov test, Mann-Whitney U, and Kruskal-Wallis H test were used. Bivariate correlations were used to correlate the main variables. Multiple linear regression analysis was also performed. Results: The majority of the nurses reported a moderate level of compassion satisfaction (CS) (62.6%), burnout (BO) (66.0%), and secondary traumatic stress (STS) (63.1%). Residence and education emerged as a factor whether the nurses experienced BO or STS, respectively. Additionally, CS negatively correlated with BO (r = -0.732: Conclusions: The majority of the nurses experienced moderate levels of CS, BO, and STS after the second wave of the COVID-19 crisis and nurse patient-ratio emerged as a significant factor to predict CS, BO, or STS. Hence, effective measures need to be implemented by hospital administration to enhance the nurses' satisfaction and reduce fatigue and burnout.

Indexed as

Burnoutcompassion satisfactionCOVID-19 pandemicnursesprofessional quality of lifesecondary traumatic stresssecond wave

Identifiers

PMID38853793
PMCPMC11155655

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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.