Evidence map›Paper›PMID 35017231›Full record

ArticleBMJ open2022

Factors associated with peritraumatic stress symptoms among the frontline healthcare workers during the outbreak of COVID-19 in China.

Xinye Qi, Jiahui Wang, Jingjing Liu, Daniel Adjei Amporfro, Kexin Wang, Huan Liu, Saleh Shah, Qunhong Wu, Yanhua Hao

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
2.7field-weighted citation impact, top 11% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 14 citations in OpenAlex.

  1. Pooled it
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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

9 authors at 1 institution in 1 country.

Xinye QiDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.
Jiahui WangDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.ORCID 0000-0002-6869-8164
Jingjing LiuDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.
Daniel Adjei AmporfroDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.ORCID 0000-0003-4842-4171
Kexin WangDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.
Huan LiuDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.ORCID 0000-0002-1882-1160
Saleh ShahDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China.
Qunhong WuDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China wuqunhong@163.com hyhyjw@126.com.ORCID 0000-0002-2873-5266
Yanhua HaoDepartment of Health Policy, Health Management College, Harbin Medical University, Harbin, Heilongjiang, China wuqunhong@163.com hyhyjw@126.com.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to examine the prevalence of peritraumatic stress symptoms (PTSSs), perceived threat, social support and factors contributing to clinically significant PTSS among frontline COVID-19 healthcare workers (HCWs) in China. DESIGN AND

settingAn online survey through self-administered questionnaires was conducted from 18 February to 4 March 2020, during the outbreak of COVID-19. OUTCOMES MEASURES: PTSS was assessed using the post-traumatic stress disorder (PTSD) self-rating scale. Demographic and socioeconomic characteristics, self-reported health, physical/psychological symptoms, perceived threat from frontline work and perceived social support were investigated. Multivariable line regression analysis distinguished factors associated with HCWs' PTSS scores.

resultsA total of 676 (58.1%) HCWs have shown clinically significant high levels of PTSS. Only 441 (37.9%) self-reported good health. Most had physical symptom(s) (915 (78.7%)), psychological symptom(s) (906 (77.9%)), inability to vent emotions (284 (24.4%)), emotional exhaustion (666 (57.3%)) and 1037 (89.2%) needed professional respect. Moreover, social support received was less than expected, and the receipt of psychological services/help scored the lowest (3.11±1.73). Combined psychological and physical symptoms, difficulty in releasing tension and venting emotions timely, fear of infection, emotional exhaustion and depersonalisation are significantly associated with PTSS scores among frontline HCWs. Working ≥8 hours, having the senior professional title, self-reported health, enjoying perfect protection and control measures, economic subsidy and control policy on reducing discriminatory practices are negatively correlated with PTSS scores.

conclusionsDuring the outbreak of COVID-19, frontline HCWs experienced clinically significant high levels of PTSS and heavy workload, and the emergency resulted in their inadequate psychosocial support. If this is left unchecked, HCWs have a higher risk of developing PTSD. Early detection, identification and person-directed, targeted multidisciplinary interventions should be undertaken to address various influencing factors. Comprehensive measures, including setting up emotional release channels, as well as providing psychological and social support intervention for HCWs globally, are highly recommended.

Indexed as

COVID-19Stress Disorders, Post-TraumaticChinaCross-Sectional StudiesDisease OutbreaksHealth PersonnelHumansSARS-CoV-2COVID-19depression & mood disordershealth & safetypublic health

Identifiers

PMID35017231
PMCPMC8753098
OpenAlexW4206838345

What OpenQuestion holds

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LicenceCC BY-NC
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.