Evidence map›Paper›PMID 36842649›Full record

ArticleJournal of affective disorders2023

Psychological symptoms and correlates of Chinese healthcare professionals in the intensive care unit before and after the COVID-19 outbreak: A comparison of two cross-sectional studies.

Liangnan Zeng, Fei Gao, Bi Guan, Tangming Peng, Wen-Jin Chen, Wei He, Xiao-Peng Li, Yan Li, Sui Sum Kung, Xiao-Meng Wang and 3 more

Open access · greenAbstract read
In one paragraph

Article in Journal of affective disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

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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, 6 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

13 authors at 11 institutions in 2 countries.

Liangnan ZengDepartment of Nursing, Chengdu Fifth People's Hospital, The Fifth People's Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Fei GaoHebei General Hospital, Hebei Province, China.
Bi GuanDepartment of Nursing, Chengdu Fifth People's Hospital, The Fifth People's Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Tangming PengDepartment of Neurosurgery, Affiliated Hospital of Southwest Medical University, Chengdu, Sichuan Province, China.
Wen-Jin ChenNICU of Department of Neurosurgery, Xuanwu Hospital of Capital Medical University, Beijing, China.
Wei HeDepartment of Critical Care Medicine, Beijing Tongren Hospital, Capital Medical University, Beijing, China.
Xiao-Peng LiDepartment of Intensive Care Unit, the First Affiliated Hospital of Xinjiang Medical University, Xinjiang Uygur Autonomous Region, China.
Yan LiDepartment of Nursing, Chengdu Fifth People's Hospital, The Fifth People's Hospital Affiliated to Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan Province, China.
Sui Sum KungDivision of Neurosurgery, Department of Surgery, Kaohsiung Medical University Hospital, Kaohsiung Medical University, Taiwan, China.
Xiao-Meng WangEICU, Xuzhou Central Hospital, Xuzhou, Jiangsu Province, China.
Wei LiuHebei Psychological Counselor Association, Hebei Province, China.
Di ZhaoThe Fourth Hospital of Hebei Medical University, Shijiazhuang, Hebei Province, China. Electronic address: 179381749@qq.com.
Wen-Wang RaoDepartment of Preventive Medicine, Shantou University Medical College, Shantou, Guangdong Province, China. Electronic address: raoww@stu.edu.cn.
Capital Medical University · CNChengdu University of Traditional Chinese Medicine · CNAffiliated Hospital of Southwest Medical University · CNChengdu Fifth People's Hospital · CNFirst Affiliated Hospital of Xinjiang Medical University · CNHebei General Hospital · CNHebei Medical University · CNHebei Mental Health Center · CNKaohsiung Medical University · TWShantou University Medical College · CNXuzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe outbreak of COVID-19 disarranged lives across mainland China. No study has examined changes in psychological symptoms of healthcare professionals in the intensive care unit (ICU) before and after the outbreak of COVID-19. The aim of this study was to estimate changes in psychological symptoms of ICU healthcare professionals before and after the COVID-19 outbreak, and to analyze factors related to psychological symptoms.

methodsTwo waves' administrations were implemented between December 13 and December 14, 2018, and between April 5 and April 7, 2020, respectively. The symptom checklist-90 (SCL-90) were used to evaluate psychological symptoms. Multiple logistical regression was used to reveal the risk of psychological symptoms.

resultsA total of 3902 and 3908 ICU healthcare professionals took part in the first and second surveys. The mean total score of the SCL-90 was 179.27 (70.02) at wave 1 and 147.75 (58.40) at wave 2, respectively. The proportion of psychological symptoms was 55.6 % (95%CI = 54.0-57.1) at wave 1. But rates of psychological symptoms decreased to 36.6 % (95%CI = 35.1-38.2) at wave 2. ICU healthcare professionals with western economic belt and 6-10 years of work were more likely to develop psychological symptoms, while ICU healthcare professionals with the later survey and doctoral degree were less likely to develop psychological symptoms.

conclusionAlthough COVID-19 period benefited psychological symptoms of ICU healthcare professionals, psychological symptoms still had a related high prevalence. Regular screening and appropriate interventions should still be implemented to decrease the risk for psychological symptoms among Chinese ICU healthcare professionals.

Indexed as

COVID-19Health PersonnelIntensive Care UnitsCross-Sectional StudiesDelivery of Health CareDisease OutbreaksEast Asian PeopleHumansCOVID-19Healthcare professionalsICUPsychological symptoms

Identifiers

PMID36842649
PMCPMC9951092
OpenAlexW4321793064

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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.