Evidence map›Paper›PMID 38883255›Full record

ArticleJournal of research in nursing : JRN2024

Perceived barriers and influencing factors of psychological help-seeking amongst Chinese nurses exposed to COVID-19.

Jiani Tan, Wei Shi, Guanzhe Frank Yuan, Sarah R Lowe, Jiahe Liu

Abstract read
In one paragraph

Article in Journal of research in nursing : JRN, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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 synthesis or guideline pooled it.

  1. Pooled it
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.

Jiani TanResearch Student, Institute for Disaster Management and Reconstruction (IDMR), Sichuan University, Chengdu, China.
Wei ShiAssociate Professor, Institute for Disaster Management and Reconstruction (IDMR), Sichuan University, Chengdu, China.ORCID https://orcid.org/0009-0006-2395-4167
Guanzhe Frank YuanAssociate Professor, School of Education Science, Leshan Normal University, Leshan, China.ORCID https://orcid.org/0000-0001-6145-4020
Sarah R LoweAssociate Professor, Department of Social and Behavioral Sciences, Yale School of Public Health, New Haven, CT, USA.
Jiahe LiuResearch Student, School of Mathematics and Statistics, The University of Melbourne, Melbourne, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The COVID-19 pandemic has caused psychological problems among nurses worldwide. However, their willingness to seek professional help is relatively low, due to perceived barriers that have remained unknown. Aims: This study analysed the potential barriers and influencing factors of psychological help-seeking among nurses participating in community COVID-19 epidemic prevention work. Methods: Five variables - depression, anxiety, post-traumatic stress syndrome, social support and mental health literacy - were measured from a sample of 667 nurses. Latent class analysis identified homogeneous classes about psychological help-seeking barriers and multinomial logistic regression identified factors associated with potential grouping outcomes. Results: Three categories were identified: major barriers ( Conclusions: During pandemics or other social health crises, nurses may experience psychological barriers to help seeking. Communities and hospitals should consider increasing the resources available for psychological counselling services, improving mental health awareness and literacy that may help reduce depression levels and promote mental health.

Indexed as

barriersCOVID-19latent class analysesmental healthnurses

Identifiers

PMID38883255
PMCPMC11179599

What OpenQuestion holds

Textmetadata
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.