Evidence map›Paper›PMID 36967605›Full record

SynthesisNursing open2023

An exploration of the psychological impact and support needs of nurses during a pandemic: A qualitative systematic review.

Yongbo Yao, Lan Wu, Samantha Toland, Ning Li

Abstract readSystematic Review
In one paragraph

Synthesis in Nursing open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 2 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

2 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. 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

4 authors.

Yongbo YaoDepartment of Oncology, Guangdong Clifford Hospital, Guangzhou, Guangdong, China.ORCID 0000-0001-5578-8198
Lan WuCardiac Care Unit, The First Affiliated Hospital of Shantou University Medical College, Shantou, Guangdong, China.ORCID 0000-0002-1202-1824
Samantha TolandBirmingham City University, Birmingham, UK.
Ning LiGuangdong Clifford Hospital, Guangzhou, Guangdong, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimWhen a public health emergency occurs, nurses play an important role on the front lines and experience tremendous physical and mental stress. This review aims to synthesize existing qualitative studies exploring the psychological impact and support needs of nurses.

designQualitative systematic reviews. Registered in PROSPERO (CRD42021288509).

methodsThis review uses the PEOD framework to explicitly identify qualitative questions and systematically searches four electronic databases (CINAHL, MEDLINE, PubMed, PsychINFO) for articles published between 25 March 2000 and 27 December 2020.

resultsA total of 10 studies published in English from 2005 to 2020 were included in the review. Following the quality critical appraisal, 26 concepts were extracted and six descriptive themes were synthesized into three analytical themes: (1) positive psychological drive, (2) need more formal supports and (3) need to be treated fairly. During sudden public health incidents, it is crucial to provide support to family members, offer psychological counselling and isolation training to nurses, while considering cultural factors and appropriate methods. Organizations and governments should prioritize establishing a robust and effective psychological support system.

Indexed as

NursesPandemicsFamilyHumansPsychosocial Support SystemsQualitative Researchcoronavirus disease 2019 (COVID-19)nursespandemicpsychologicalqualitative studysupport needs

Identifiers

PMID36967605
PMCPMC10277402

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.