Evidence map›Paper›PMID 33845624›Full record

ArticleThe International journal of social psychiatry2022

Experiences and emotional strain of NHS frontline workers during the peak of the COVID-19 pandemic.

Kristina L Newman, Yadava Jeve, Pallab Majumder

Open access · hybridAbstract read
In one paragraph

Article in The International journal of social psychiatry, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.

0numbers the graph read from it
0cells of the map it votes in
35citing papers in PubMed
9.0field-weighted citation impact, top 2% 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

35 citing papers in PubMed, 74 citations in OpenAlex.

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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

3 authors at 2 institutions in 1 country.

Kristina L NewmanPsychology Department, Nottingham Trent University, UK.ORCID 0000-0002-3611-6764
Yadava JeveBirmingham Women's & Children Hospital NHS Trust, UK.
Pallab MajumderNottingham City CAMHS Looked After Children's Team, UK.
University of Nottingham · GBBirmingham Children's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe mental health of the population has been negatively affected due to the pandemic. Frontline healthcare workers with increased exposure to COVID diagnosis, treatment and care were especially likely to report psychological burden, fear, anxiety and depression.

aimTo elicit how working as a health professional during the pandemic is impacting on the psychological wellbeing of frontline staff.

methodUnited Kingdom population of healthcare workers were approached by advertising the survey via social media, NHS trusts and other organisations. Open-ended survey answers were qualitatively explored using content analysis.

resultsSurvey collected data from 395 NHS staff was developed into three themes; (1) Despair and uncertainty: feeling overwhelmed trying to protect everyone, (2) Behavioural and psychological impact: affecting wellbeing and functioning and (3) Coping and employer support: getting the right help.

conclusionNHS staff felt enormous burden to adequately complete their professional, personal and civil responsibility to keep everyone safe leading to negative psychological and behavioural consequences and desire for NHS employers to offer better support. As the pandemic progresses, the results of this study may inform NHS employers on how optimum support can be offered to help them cope with negative psychological consequences of the pandemic.

Indexed as

COVID-19PandemicsHealth PersonnelHumansSARS-CoV-2State MedicinecoronavirusCOVID-19Frontline workersmental healthpandemic

Identifiers

PMID33845624
PMCPMC9014765
OpenAlexW3156061664

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.