Evidence map›Paper›PMID 39767349›Full record

ArticleBehavioral sciences (Basel, Switzerland)2024

Consequences of the Pandemic on Mental Health of Healthcare Workers in the NHS.

Arjun Vyas, Nantapong Butakhieo, Lina Vyas

Abstract read
In one paragraph

Article in Behavioral sciences (Basel, Switzerland), 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

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.

  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

3 authors.

Arjun VyasJames Cook University Hospital, South Tees NHS Foundation Trust, Middlesbrough TS4 3BW, UK.
Nantapong ButakhieoDepartment of Social Sciences and Policy Studies, The Education University of Hong Kong, Hong Kong SAR, China.
Lina VyasDepartment of Social Sciences and Policy Studies, The Education University of Hong Kong, Hong Kong SAR, China.ORCID 0000-0003-4377-2572

Funding

Department of Social Sciences and Policy Studies (formerly Department of Asian and Policy Studies), The Education University of Hong Kong Small Research Grant 2022/23
6 · The paper itself

Abstract

In recent years, the public health system of the United Kingdom, the National Healthcare System (NHS), has encountered difficulties that have been acknowledged in research studies and public policy discussions, such as resignations and staff shortages. During the COVID-19 pandemic, NHS healthcare workers were confronted with demanding circumstances, exacerbating the constraints of an already struggling system. With this, the authors of this paper aim to better understand the relationships between frustration at work, fear of infection, working hours, and the turnover intention of healthcare workers during the pandemic. This study employed a mixed-methods research approach, as a questionnaire survey was conducted along with an online self-administered interview questionnaire. Using mediation and moderated mediation analyses, it was found that the indirect effect of frustration at work through fear of infection on turnover intention was positively significant. Working hours moderated the mediation effect of fear of infection on the relationship between frustration at work and turnover intention. Surprisingly, the conditional indirect effect of frustration at work on turnover intention through fear of infection was the strongest among those with short working hours. This evidence was supplemented with qualitative results that enhance the understanding of why healthcare workers want to leave the system and the actions that can be taken on the organisational and policy fronts to address this issue.

Indexed as

frustration at workhealthcare workerNHSturnover intentionUK

Identifiers

PMID39767349
PMCPMC11673867

What OpenQuestion holds

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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.