Evidence map›Paper›PMID 32874973›Full record

ReviewWorld journal of clinical cases2020

Review of possible psychological impacts of COVID-19 on frontline medical staff and reduction strategies.

Xiao-Wei Fu, Li-Na Wu, Ling Shan

Abstract readReview
In one paragraph

Review in World journal of clinical cases, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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

  1. Pooled it
  2. Review
  3. 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.

Xiao-Wei FuDepartment of Nursing, Lianyungang Maternal and Child Health Hospital, Lianyungang 222000, Jiangsu Province, China.
Li-Na WuDepartment of Cardiothoracic Surgery, Affiliated Hospital of Xuzhou Medical University, Xuzhou 221000, Jiangsu Province, China.
Ling ShanDepartment of Nursing, Lianyungang Maternal and Child Health Hospital, Lianyungang 222000, Jiangsu Province, China. shanling6999@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Like soldiers, frontline medical staff provide a first line of defense and have played a critical role in responses to the outbreak of coronavirus disease-2019 in December 2019. It is important to acknowledge the considerable pressure placed on frontline medical staff in the face of a new type of coronavirus that is highly infectious and for which no specific treatment is available. Here, we review the various kinds of psychological problems afflicting frontline medical staff who are combatting the severe acute respiratory syndrome epidemic. These include anxiety, insomnia, depression, interpersonal difficulties, and post-traumatic stress disorder syndrome. We further present a summary of countermeasures for alleviating these problems based on our findings. These countermeasures include ensuring the provision of adequate protective gear for frontline medical staff, developing timely and clear guidelines, strengthening social support, and providing clear criteria and additional training, focusing on the choice of frontline medical staff. An understanding of the psychological impacts of an epidemic situation and of relevant countermeasures will contribute to reducing the psychological pressures on frontline medical staff. Consequently, they will be able to cope better with outbreaks of infectious diseases in the future, to reduce the psychological pressure of the front-line medical staff, and to improve the treatment level.

Indexed as

Adequate protective gearEpidemic diseasesFrontline medical staffPost-traumatic stress disorder syndromePsychological impacts

Identifiers

PMID32874973
PMCPMC7441266

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.