↓ Skip to main content

Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019

Overview of attention for article published in JAMA Network Open, March 2020
Altmetric Badge

About this Attention Score

  • In the top 5% of all research outputs scored by Altmetric
  • One of the highest-scoring outputs from this source (#7 of 4,028)
  • High Attention Score compared to outputs of the same age (99th percentile)
  • High Attention Score compared to outputs of the same age and source (99th percentile)

Mentioned by

news
267 news outlets
blogs
34 blogs
policy
7 policy sources
twitter
2006 tweeters
facebook
15 Facebook pages
wikipedia
1 Wikipedia page
reddit
3 Redditors

Citations

dimensions_citation
2465 Dimensions

Readers on

mendeley
5100 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Factors Associated With Mental Health Outcomes Among Health Care Workers Exposed to Coronavirus Disease 2019
Published in
JAMA Network Open, March 2020
DOI 10.1001/jamanetworkopen.2020.3976
Pubmed ID
Authors

Lai, Jianbo, Ma, Simeng, Wang, Ying, Cai, Zhongxiang, Hu, Jianbo, Wei, Ning, Wu, Jiang, Du, Hui, Chen, Tingting, Li, Ruiting, Tan, Huawei, Kang, Lijun, Yao, Lihua, Huang, Manli, Wang, Huafen, Wang, Gaohua, Liu, Zhongchun, Hu, Shaohua

Abstract

Health care workers exposed to coronavirus disease 2019 (COVID-19) could be psychologically stressed. To assess the magnitude of mental health outcomes and associated factors among health care workers treating patients exposed to COVID-19 in China. This cross-sectional, survey-based, region-stratified study collected demographic data and mental health measurements from 1257 health care workers in 34 hospitals from January 29, 2020, to February 3, 2020, in China. Health care workers in hospitals equipped with fever clinics or wards for patients with COVID-19 were eligible. The degree of symptoms of depression, anxiety, insomnia, and distress was assessed by the Chinese versions of the 9-item Patient Health Questionnaire, the 7-item Generalized Anxiety Disorder scale, the 7-item Insomnia Severity Index, and the 22-item Impact of Event Scale-Revised, respectively. Multivariable logistic regression analysis was performed to identify factors associated with mental health outcomes. A total of 1257 of 1830 contacted individuals completed the survey, with a participation rate of 68.7%. A total of 813 (64.7%) were aged 26 to 40 years, and 964 (76.7%) were women. Of all participants, 764 (60.8%) were nurses, and 493 (39.2%) were physicians; 760 (60.5%) worked in hospitals in Wuhan, and 522 (41.5%) were frontline health care workers. A considerable proportion of participants reported symptoms of depression (634 [50.4%]), anxiety (560 [44.6%]), insomnia (427 [34.0%]), and distress (899 [71.5%]). Nurses, women, frontline health care workers, and those working in Wuhan, China, reported more severe degrees of all measurements of mental health symptoms than other health care workers (eg, median [IQR] Patient Health Questionnaire scores among physicians vs nurses: 4.0 [1.0-7.0] vs 5.0 [2.0-8.0]; P = .007; median [interquartile range {IQR}] Generalized Anxiety Disorder scale scores among men vs women: 2.0 [0-6.0] vs 4.0 [1.0-7.0]; P < .001; median [IQR] Insomnia Severity Index scores among frontline vs second-line workers: 6.0 [2.0-11.0] vs 4.0 [1.0-8.0]; P < .001; median [IQR] Impact of Event Scale-Revised scores among those in Wuhan vs those in Hubei outside Wuhan and those outside Hubei: 21.0 [8.5-34.5] vs 18.0 [6.0-28.0] in Hubei outside Wuhan and 15.0 [4.0-26.0] outside Hubei; P < .001). Multivariable logistic regression analysis showed participants from outside Hubei province were associated with lower risk of experiencing symptoms of distress compared with those in Wuhan (odds ratio [OR], 0.62; 95% CI, 0.43-0.88; P = .008). Frontline health care workers engaged in direct diagnosis, treatment, and care of patients with COVID-19 were associated with a higher risk of symptoms of depression (OR, 1.52; 95% CI, 1.11-2.09; P = .01), anxiety (OR, 1.57; 95% CI, 1.22-2.02; P < .001), insomnia (OR, 2.97; 95% CI, 1.92-4.60; P < .001), and distress (OR, 1.60; 95% CI, 1.25-2.04; P < .001). In this survey of heath care workers in hospitals equipped with fever clinics or wards for patients with COVID-19 in Wuhan and other regions in China, participants reported experiencing psychological burden, especially nurses, women, those in Wuhan, and frontline health care workers directly engaged in the diagnosis, treatment, and care for patients with COVID-19.

Twitter Demographics

The data shown below were collected from the profiles of 2,006 tweeters who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 5,100 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 5100 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 705 14%
Student > Master 674 13%
Researcher 474 9%
Other 319 6%
Student > Postgraduate 317 6%
Other 1188 23%
Unknown 1423 28%
Readers by discipline Count As %
Medicine and Dentistry 1322 26%
Nursing and Health Professions 704 14%
Psychology 454 9%
Social Sciences 166 3%
Neuroscience 99 2%
Other 713 14%
Unknown 1642 32%

Attention Score in Context

This research output has an Altmetric Attention Score of 3763. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 23 June 2021.
All research outputs
#767
of 18,520,433 outputs
Outputs from JAMA Network Open
#7
of 4,028 outputs
Outputs of similar age
#96
of 282,591 outputs
Outputs of similar age from JAMA Network Open
#2
of 103 outputs
Altmetric has tracked 18,520,433 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 99th percentile: it's in the top 5% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,028 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 107.5. This one has done particularly well, scoring higher than 99% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 282,591 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 99% of its contemporaries.
We're also able to compare this research output to 103 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 99% of its contemporaries.