Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China
Hospital staff are vulnerable and at high risk of novel coronavirus disease (COVID-19) infection. The aim of this study was to monitor the psychological distress in hospital staff and examine the relationship between the psychological distress and possible causes during the COVID-19 epidemic. An onl...
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| Veröffentlicht in: | Comprehensive psychiatry 2020-11, Vol.103, p.152198-152198, Article 152198 |
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| container_title | Comprehensive psychiatry |
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| creator | Juan, Yang Yuanyuan, Cheng Qiuxiang, You Cong, Liu Xiaofeng, Lai Yundong, Zhang Jing, Cheng Peifeng, Qiao Yan, Long Xiaojiao, Xiang Yujie, Lai |
| description | Hospital staff are vulnerable and at high risk of novel coronavirus disease (COVID-19) infection. The aim of this study was to monitor the psychological distress in hospital staff and examine the relationship between the psychological distress and possible causes during the COVID-19 epidemic.
An online survey was conducted from February 1 to February 14, 2020. Hospital staff from five national COVID-19 designated hospitals in Chongqing participated. Data collected included demographics and stress responses to COVID-19: 1) the impact of event scale to measure psychological stress reactions; 2) generalizedanxietydisorder 7 to measure anxiety symptoms; 3) Patient Health Questionnaire 9 to measure depression symptoms; 4) Yale-Brown Obsessive-Compulsive Scale to measure obsessive-compulsive symptoms (OCS); and 5) Patient Health Questionnaire 15 to measure somatization symptoms. Multiple logistic regression analysis was used to identify factors that were correlated with psychological distress.
Hospital staff that participated in this study were identified as either doctors or nurses. A total of 456 respondents completed the questionnaires with a response rate of 91.2%. The mean age was 30.67 ± 7.48 years (range, 17 to 64 years). Of all respondents, 29.4% were men. Of the staff surveyed, 43.2% had stress reaction syndrome. The highest prevalence of psychological distress was OCS (37.5%), followed by somatization symptoms (33.3%), anxiety symptoms (31.6%), and depression symptoms (29.6%). Univariate analyses indicated that female subjects, middle aged subjects, subjects in the low income group, and subjects working in isolation wards were prone to experience psychological distress. Multiple logistic regression analysis showed “Reluctant to work or considered resignation” (odds ratio [OR], 5.192; 95%CI, 2.396–11.250; P |
| doi_str_mv | 10.1016/j.comppsych.2020.152198 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_doaj_</sourceid><recordid>TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7419281</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><els_id>S0010440X20300407</els_id><doaj_id>oai_doaj_org_article_195d4d1d428445d6b168724b49a296c4</doaj_id><sourcerecordid>2502624780</sourcerecordid><originalsourceid>FETCH-LOGICAL-c569t-ff2fa236497b4d07bc8b52f70b61ac8273ce431103b8efd6bc895ee92bd5f53c3</originalsourceid><addsrcrecordid>eNqFkk2P0zAQhiMEYsvCXwBLXPZAiu3Yjn1BWpWvSistB0DcLMeetK6SOGsnlXrll-PSpWK5cEo088xjZ_IWxSuClwQT8Xa3tKEfx3Sw2yXFNFc5JUo-KhaEV7SUlWSPiwXGBJeM4R8XxbOUdhhjKSV7WlxUVEnMFV8UP78cHaELG29Nh5xPU4SUUJrjHnzXmcECMoNDETozgUO-H42dcsl0h-QTCi3ahjT6KU-nybQtcnP0wwZNW0Cr2-_r9yVRCEbvoPcW-QGttmHY3GXkTX71g3lePGlNl-DF_fOy-Pbxw9fV5_Lm9tN6dX1TWi7UVLYtbQ2tBFN1wxyuGysbTtsaN4IYK2ldWWAVIbhqJLRO5L7iAIo2jre8stVlsT55XTA7PUbfm3jQwXj9uxDiRps4eduBJoo75ohjVDLGs4sIWVPWMGWoEpZl17uTa5ybHpyFYYqmeyB92Bn8Vm_CXteMKCpJFlzdC2K4myFNuvfJwnHhEOakKWNCKS4Ezejrf9BdmGPef6Y4poKyWuJM1SfKxpBShPZ8GYL1MTN6p8-Z0cfM6FNm8uTLv7_lPPcnJBm4PgGQ_87eQ9TJesjBcD6CnfL6_H8P-QVRj9i9</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2502624780</pqid></control><display><type>article</type><title>Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China</title><source>MEDLINE</source><source>DOAJ Directory of Open Access Journals</source><source>ScienceDirect Journals (5 years ago - present)</source><source>EZB-FREE-00999 freely available EZB journals</source><source>ProQuest Central UK/Ireland</source><creator>Juan, Yang ; Yuanyuan, Cheng ; Qiuxiang, You ; Cong, Liu ; Xiaofeng, Lai ; Yundong, Zhang ; Jing, Cheng ; Peifeng, Qiao ; Yan, Long ; Xiaojiao, Xiang ; Yujie, Lai</creator><creatorcontrib>Juan, Yang ; Yuanyuan, Cheng ; Qiuxiang, You ; Cong, Liu ; Xiaofeng, Lai ; Yundong, Zhang ; Jing, Cheng ; Peifeng, Qiao ; Yan, Long ; Xiaojiao, Xiang ; Yujie, Lai</creatorcontrib><description>Hospital staff are vulnerable and at high risk of novel coronavirus disease (COVID-19) infection. The aim of this study was to monitor the psychological distress in hospital staff and examine the relationship between the psychological distress and possible causes during the COVID-19 epidemic.
An online survey was conducted from February 1 to February 14, 2020. Hospital staff from five national COVID-19 designated hospitals in Chongqing participated. Data collected included demographics and stress responses to COVID-19: 1) the impact of event scale to measure psychological stress reactions; 2) generalizedanxietydisorder 7 to measure anxiety symptoms; 3) Patient Health Questionnaire 9 to measure depression symptoms; 4) Yale-Brown Obsessive-Compulsive Scale to measure obsessive-compulsive symptoms (OCS); and 5) Patient Health Questionnaire 15 to measure somatization symptoms. Multiple logistic regression analysis was used to identify factors that were correlated with psychological distress.
Hospital staff that participated in this study were identified as either doctors or nurses. A total of 456 respondents completed the questionnaires with a response rate of 91.2%. The mean age was 30.67 ± 7.48 years (range, 17 to 64 years). Of all respondents, 29.4% were men. Of the staff surveyed, 43.2% had stress reaction syndrome. The highest prevalence of psychological distress was OCS (37.5%), followed by somatization symptoms (33.3%), anxiety symptoms (31.6%), and depression symptoms (29.6%). Univariate analyses indicated that female subjects, middle aged subjects, subjects in the low income group, and subjects working in isolation wards were prone to experience psychological distress. Multiple logistic regression analysis showed “Reluctant to work or considered resignation” (odds ratio [OR], 5.192; 95%CI, 2.396–11.250; P < .001), “Afraid to go home because of fear of infecting family” (OR, 2.099; 95%CI, 1.299–3.391; P = .002) “Uncertainty about frequent modification of infection and control procedures” (OR, 1.583; 95%CI, 1.061–2.363; P = .025), and“Social support” (OR, 1.754; 95%CI, 1.041–2.956; P = .035) were correlated with psychological reactions. “Reluctant to work or considered resignation” and “Afraid to go home because of fear of infecting family” were associated with a higher risk of symptoms of Anxiety (OR, 3.622; 95% CI, 1.882–6.973; P < .001; OR, 1.803; 95% CI, 1.069–3.039; P = .027), OCS (OR, 5.241; 95% CI, 2.545–10.793; P < .001; OR, 1.999; 95% CI, 1.217–3.282; P = .006) and somatization (OR, 5.177; 95% CI, 2.595–10.329; P < .001; OR, 1.749; 95% CI, 1.051–2.91; P = .031). “Stigmatization and rejection in neighborhood because of hospital work”, “Reluctant to work or considered resignation” and “Uncertainty about frequent modification of infection and control procedures” were associated with a higher risk of symptoms of Depression(OR, 2.297; 95% CI, 1.138–4.637; P = .020; OR, 3.134; 95% CI, 1.635–6.006; P = .001; OR, 1.645; 95% CI, 1.075–2.517; P = .022).
Hospital staff showed different prevalence of psychological distress during the COVID-19 epidemic. Our study confirmed the severity of negative psychological distress on hospital staff and identified factors associated with negative psychological distress that can be used to provide valuable information for psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
•Hospital staff showed psychological distress in the COVID-19 epidemic in Chongqing.•We confirmed the severity of negative psychological distress on hospital staff.•Factors associated with negative psychological distress were identified.</description><identifier>ISSN: 0010-440X</identifier><identifier>EISSN: 1532-8384</identifier><identifier>DOI: 10.1016/j.comppsych.2020.152198</identifier><identifier>PMID: 32980595</identifier><language>eng</language><publisher>United States: Elsevier Inc</publisher><subject>Adolescent ; Adult ; Anxiety ; Anxiety - epidemiology ; Anxiety - psychology ; Anxiety Disorders - epidemiology ; Anxiety Disorders - psychology ; China - epidemiology ; Coronavirus ; Coronavirus Infections - complications ; Coronavirus Infections - epidemiology ; Coronavirus Infections - psychology ; Coronaviruses ; COVID-19 ; Cross-Sectional Studies ; Depression - epidemiology ; Depression - psychology ; Female ; Hospital staff ; Humans ; Impact analysis ; Male ; Mental depression ; Mental Health ; Middle Aged ; Pandemics ; Pneumonia, Viral - complications ; Pneumonia, Viral - epidemiology ; Pneumonia, Viral - psychology ; Prevalence ; Psychological Distress ; SARS-CoV-2 ; Surveys and Questionnaires ; Viral infection ; Young Adult</subject><ispartof>Comprehensive psychiatry, 2020-11, Vol.103, p.152198-152198, Article 152198</ispartof><rights>2020 The Authors</rights><rights>Copyright © 2020 The Authors. Published by Elsevier Inc. All rights reserved.</rights><rights>2020. The Authors</rights><rights>2020 The Authors 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c569t-ff2fa236497b4d07bc8b52f70b61ac8273ce431103b8efd6bc895ee92bd5f53c3</citedby><cites>FETCH-LOGICAL-c569t-ff2fa236497b4d07bc8b52f70b61ac8273ce431103b8efd6bc895ee92bd5f53c3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://www.proquest.com/docview/2502624780?pq-origsite=primo$$EHTML$$P50$$Gproquest$$Hfree_for_read</linktohtml><link.rule.ids>230,314,780,784,864,885,2102,3550,27924,27925,45995,64385,64387,64389,72341</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32980595$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Juan, Yang</creatorcontrib><creatorcontrib>Yuanyuan, Cheng</creatorcontrib><creatorcontrib>Qiuxiang, You</creatorcontrib><creatorcontrib>Cong, Liu</creatorcontrib><creatorcontrib>Xiaofeng, Lai</creatorcontrib><creatorcontrib>Yundong, Zhang</creatorcontrib><creatorcontrib>Jing, Cheng</creatorcontrib><creatorcontrib>Peifeng, Qiao</creatorcontrib><creatorcontrib>Yan, Long</creatorcontrib><creatorcontrib>Xiaojiao, Xiang</creatorcontrib><creatorcontrib>Yujie, Lai</creatorcontrib><title>Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China</title><title>Comprehensive psychiatry</title><addtitle>Compr Psychiatry</addtitle><description>Hospital staff are vulnerable and at high risk of novel coronavirus disease (COVID-19) infection. The aim of this study was to monitor the psychological distress in hospital staff and examine the relationship between the psychological distress and possible causes during the COVID-19 epidemic.
An online survey was conducted from February 1 to February 14, 2020. Hospital staff from five national COVID-19 designated hospitals in Chongqing participated. Data collected included demographics and stress responses to COVID-19: 1) the impact of event scale to measure psychological stress reactions; 2) generalizedanxietydisorder 7 to measure anxiety symptoms; 3) Patient Health Questionnaire 9 to measure depression symptoms; 4) Yale-Brown Obsessive-Compulsive Scale to measure obsessive-compulsive symptoms (OCS); and 5) Patient Health Questionnaire 15 to measure somatization symptoms. Multiple logistic regression analysis was used to identify factors that were correlated with psychological distress.
Hospital staff that participated in this study were identified as either doctors or nurses. A total of 456 respondents completed the questionnaires with a response rate of 91.2%. The mean age was 30.67 ± 7.48 years (range, 17 to 64 years). Of all respondents, 29.4% were men. Of the staff surveyed, 43.2% had stress reaction syndrome. The highest prevalence of psychological distress was OCS (37.5%), followed by somatization symptoms (33.3%), anxiety symptoms (31.6%), and depression symptoms (29.6%). Univariate analyses indicated that female subjects, middle aged subjects, subjects in the low income group, and subjects working in isolation wards were prone to experience psychological distress. Multiple logistic regression analysis showed “Reluctant to work or considered resignation” (odds ratio [OR], 5.192; 95%CI, 2.396–11.250; P < .001), “Afraid to go home because of fear of infecting family” (OR, 2.099; 95%CI, 1.299–3.391; P = .002) “Uncertainty about frequent modification of infection and control procedures” (OR, 1.583; 95%CI, 1.061–2.363; P = .025), and“Social support” (OR, 1.754; 95%CI, 1.041–2.956; P = .035) were correlated with psychological reactions. “Reluctant to work or considered resignation” and “Afraid to go home because of fear of infecting family” were associated with a higher risk of symptoms of Anxiety (OR, 3.622; 95% CI, 1.882–6.973; P < .001; OR, 1.803; 95% CI, 1.069–3.039; P = .027), OCS (OR, 5.241; 95% CI, 2.545–10.793; P < .001; OR, 1.999; 95% CI, 1.217–3.282; P = .006) and somatization (OR, 5.177; 95% CI, 2.595–10.329; P < .001; OR, 1.749; 95% CI, 1.051–2.91; P = .031). “Stigmatization and rejection in neighborhood because of hospital work”, “Reluctant to work or considered resignation” and “Uncertainty about frequent modification of infection and control procedures” were associated with a higher risk of symptoms of Depression(OR, 2.297; 95% CI, 1.138–4.637; P = .020; OR, 3.134; 95% CI, 1.635–6.006; P = .001; OR, 1.645; 95% CI, 1.075–2.517; P = .022).
Hospital staff showed different prevalence of psychological distress during the COVID-19 epidemic. Our study confirmed the severity of negative psychological distress on hospital staff and identified factors associated with negative psychological distress that can be used to provide valuable information for psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
•Hospital staff showed psychological distress in the COVID-19 epidemic in Chongqing.•We confirmed the severity of negative psychological distress on hospital staff.•Factors associated with negative psychological distress were identified.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Anxiety</subject><subject>Anxiety - epidemiology</subject><subject>Anxiety - psychology</subject><subject>Anxiety Disorders - epidemiology</subject><subject>Anxiety Disorders - psychology</subject><subject>China - epidemiology</subject><subject>Coronavirus</subject><subject>Coronavirus Infections - complications</subject><subject>Coronavirus Infections - epidemiology</subject><subject>Coronavirus Infections - psychology</subject><subject>Coronaviruses</subject><subject>COVID-19</subject><subject>Cross-Sectional Studies</subject><subject>Depression - epidemiology</subject><subject>Depression - psychology</subject><subject>Female</subject><subject>Hospital staff</subject><subject>Humans</subject><subject>Impact analysis</subject><subject>Male</subject><subject>Mental depression</subject><subject>Mental Health</subject><subject>Middle Aged</subject><subject>Pandemics</subject><subject>Pneumonia, Viral - complications</subject><subject>Pneumonia, Viral - epidemiology</subject><subject>Pneumonia, Viral - psychology</subject><subject>Prevalence</subject><subject>Psychological Distress</subject><subject>SARS-CoV-2</subject><subject>Surveys and Questionnaires</subject><subject>Viral infection</subject><subject>Young Adult</subject><issn>0010-440X</issn><issn>1532-8384</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>8G5</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>GUQSH</sourceid><sourceid>M2O</sourceid><sourceid>DOA</sourceid><recordid>eNqFkk2P0zAQhiMEYsvCXwBLXPZAiu3Yjn1BWpWvSistB0DcLMeetK6SOGsnlXrll-PSpWK5cEo088xjZ_IWxSuClwQT8Xa3tKEfx3Sw2yXFNFc5JUo-KhaEV7SUlWSPiwXGBJeM4R8XxbOUdhhjKSV7WlxUVEnMFV8UP78cHaELG29Nh5xPU4SUUJrjHnzXmcECMoNDETozgUO-H42dcsl0h-QTCi3ahjT6KU-nybQtcnP0wwZNW0Cr2-_r9yVRCEbvoPcW-QGttmHY3GXkTX71g3lePGlNl-DF_fOy-Pbxw9fV5_Lm9tN6dX1TWi7UVLYtbQ2tBFN1wxyuGysbTtsaN4IYK2ldWWAVIbhqJLRO5L7iAIo2jre8stVlsT55XTA7PUbfm3jQwXj9uxDiRps4eduBJoo75ohjVDLGs4sIWVPWMGWoEpZl17uTa5ybHpyFYYqmeyB92Bn8Vm_CXteMKCpJFlzdC2K4myFNuvfJwnHhEOakKWNCKS4Ezejrf9BdmGPef6Y4poKyWuJM1SfKxpBShPZ8GYL1MTN6p8-Z0cfM6FNm8uTLv7_lPPcnJBm4PgGQ_87eQ9TJesjBcD6CnfL6_H8P-QVRj9i9</recordid><startdate>20201101</startdate><enddate>20201101</enddate><creator>Juan, Yang</creator><creator>Yuanyuan, Cheng</creator><creator>Qiuxiang, You</creator><creator>Cong, Liu</creator><creator>Xiaofeng, Lai</creator><creator>Yundong, Zhang</creator><creator>Jing, Cheng</creator><creator>Peifeng, Qiao</creator><creator>Yan, Long</creator><creator>Xiaojiao, Xiang</creator><creator>Yujie, Lai</creator><general>Elsevier Inc</general><general>Elsevier Limited</general><general>The Authors. Published by Elsevier Inc</general><general>Elsevier</general><scope>6I.</scope><scope>AAFTH</scope><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>88G</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>8G5</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>COVID</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>GUQSH</scope><scope>K9.</scope><scope>KB0</scope><scope>M0S</scope><scope>M1P</scope><scope>M2M</scope><scope>M2O</scope><scope>MBDVC</scope><scope>NAPCQ</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PSYQQ</scope><scope>Q9U</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20201101</creationdate><title>Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China</title><author>Juan, Yang ; Yuanyuan, Cheng ; Qiuxiang, You ; Cong, Liu ; Xiaofeng, Lai ; Yundong, Zhang ; Jing, Cheng ; Peifeng, Qiao ; Yan, Long ; Xiaojiao, Xiang ; Yujie, Lai</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c569t-ff2fa236497b4d07bc8b52f70b61ac8273ce431103b8efd6bc895ee92bd5f53c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Anxiety</topic><topic>Anxiety - epidemiology</topic><topic>Anxiety - psychology</topic><topic>Anxiety Disorders - epidemiology</topic><topic>Anxiety Disorders - psychology</topic><topic>China - epidemiology</topic><topic>Coronavirus</topic><topic>Coronavirus Infections - complications</topic><topic>Coronavirus Infections - epidemiology</topic><topic>Coronavirus Infections - psychology</topic><topic>Coronaviruses</topic><topic>COVID-19</topic><topic>Cross-Sectional Studies</topic><topic>Depression - epidemiology</topic><topic>Depression - psychology</topic><topic>Female</topic><topic>Hospital staff</topic><topic>Humans</topic><topic>Impact analysis</topic><topic>Male</topic><topic>Mental depression</topic><topic>Mental Health</topic><topic>Middle Aged</topic><topic>Pandemics</topic><topic>Pneumonia, Viral - complications</topic><topic>Pneumonia, Viral - epidemiology</topic><topic>Pneumonia, Viral - psychology</topic><topic>Prevalence</topic><topic>Psychological Distress</topic><topic>SARS-CoV-2</topic><topic>Surveys and Questionnaires</topic><topic>Viral infection</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Juan, Yang</creatorcontrib><creatorcontrib>Yuanyuan, Cheng</creatorcontrib><creatorcontrib>Qiuxiang, You</creatorcontrib><creatorcontrib>Cong, Liu</creatorcontrib><creatorcontrib>Xiaofeng, Lai</creatorcontrib><creatorcontrib>Yundong, Zhang</creatorcontrib><creatorcontrib>Jing, Cheng</creatorcontrib><creatorcontrib>Peifeng, Qiao</creatorcontrib><creatorcontrib>Yan, Long</creatorcontrib><creatorcontrib>Xiaojiao, Xiang</creatorcontrib><creatorcontrib>Yujie, Lai</creatorcontrib><collection>ScienceDirect Open Access Titles</collection><collection>Elsevier:ScienceDirect:Open Access</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Proquest Nursing & Allied Health Source</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>Psychology Database (Alumni)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Research Library (Alumni Edition)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>Coronavirus Research Database</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>Research Library Prep</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Psychology Database</collection><collection>Research Library</collection><collection>Research Library (Corporate)</collection><collection>Nursing & Allied Health Premium</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest One Psychology</collection><collection>ProQuest Central Basic</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>Comprehensive psychiatry</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Juan, Yang</au><au>Yuanyuan, Cheng</au><au>Qiuxiang, You</au><au>Cong, Liu</au><au>Xiaofeng, Lai</au><au>Yundong, Zhang</au><au>Jing, Cheng</au><au>Peifeng, Qiao</au><au>Yan, Long</au><au>Xiaojiao, Xiang</au><au>Yujie, Lai</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China</atitle><jtitle>Comprehensive psychiatry</jtitle><addtitle>Compr Psychiatry</addtitle><date>2020-11-01</date><risdate>2020</risdate><volume>103</volume><spage>152198</spage><epage>152198</epage><pages>152198-152198</pages><artnum>152198</artnum><issn>0010-440X</issn><eissn>1532-8384</eissn><abstract>Hospital staff are vulnerable and at high risk of novel coronavirus disease (COVID-19) infection. The aim of this study was to monitor the psychological distress in hospital staff and examine the relationship between the psychological distress and possible causes during the COVID-19 epidemic.
An online survey was conducted from February 1 to February 14, 2020. Hospital staff from five national COVID-19 designated hospitals in Chongqing participated. Data collected included demographics and stress responses to COVID-19: 1) the impact of event scale to measure psychological stress reactions; 2) generalizedanxietydisorder 7 to measure anxiety symptoms; 3) Patient Health Questionnaire 9 to measure depression symptoms; 4) Yale-Brown Obsessive-Compulsive Scale to measure obsessive-compulsive symptoms (OCS); and 5) Patient Health Questionnaire 15 to measure somatization symptoms. Multiple logistic regression analysis was used to identify factors that were correlated with psychological distress.
Hospital staff that participated in this study were identified as either doctors or nurses. A total of 456 respondents completed the questionnaires with a response rate of 91.2%. The mean age was 30.67 ± 7.48 years (range, 17 to 64 years). Of all respondents, 29.4% were men. Of the staff surveyed, 43.2% had stress reaction syndrome. The highest prevalence of psychological distress was OCS (37.5%), followed by somatization symptoms (33.3%), anxiety symptoms (31.6%), and depression symptoms (29.6%). Univariate analyses indicated that female subjects, middle aged subjects, subjects in the low income group, and subjects working in isolation wards were prone to experience psychological distress. Multiple logistic regression analysis showed “Reluctant to work or considered resignation” (odds ratio [OR], 5.192; 95%CI, 2.396–11.250; P < .001), “Afraid to go home because of fear of infecting family” (OR, 2.099; 95%CI, 1.299–3.391; P = .002) “Uncertainty about frequent modification of infection and control procedures” (OR, 1.583; 95%CI, 1.061–2.363; P = .025), and“Social support” (OR, 1.754; 95%CI, 1.041–2.956; P = .035) were correlated with psychological reactions. “Reluctant to work or considered resignation” and “Afraid to go home because of fear of infecting family” were associated with a higher risk of symptoms of Anxiety (OR, 3.622; 95% CI, 1.882–6.973; P < .001; OR, 1.803; 95% CI, 1.069–3.039; P = .027), OCS (OR, 5.241; 95% CI, 2.545–10.793; P < .001; OR, 1.999; 95% CI, 1.217–3.282; P = .006) and somatization (OR, 5.177; 95% CI, 2.595–10.329; P < .001; OR, 1.749; 95% CI, 1.051–2.91; P = .031). “Stigmatization and rejection in neighborhood because of hospital work”, “Reluctant to work or considered resignation” and “Uncertainty about frequent modification of infection and control procedures” were associated with a higher risk of symptoms of Depression(OR, 2.297; 95% CI, 1.138–4.637; P = .020; OR, 3.134; 95% CI, 1.635–6.006; P = .001; OR, 1.645; 95% CI, 1.075–2.517; P = .022).
Hospital staff showed different prevalence of psychological distress during the COVID-19 epidemic. Our study confirmed the severity of negative psychological distress on hospital staff and identified factors associated with negative psychological distress that can be used to provide valuable information for psychological interventions to improve the mental health of vulnerable groups during the COVID-19 epidemic.
•Hospital staff showed psychological distress in the COVID-19 epidemic in Chongqing.•We confirmed the severity of negative psychological distress on hospital staff.•Factors associated with negative psychological distress were identified.</abstract><cop>United States</cop><pub>Elsevier Inc</pub><pmid>32980595</pmid><doi>10.1016/j.comppsych.2020.152198</doi><tpages>1</tpages><oa>free_for_read</oa></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 0010-440X |
| ispartof | Comprehensive psychiatry, 2020-11, Vol.103, p.152198-152198, Article 152198 |
| issn | 0010-440X 1532-8384 |
| language | eng |
| recordid | cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_7419281 |
| source | MEDLINE; DOAJ Directory of Open Access Journals; ScienceDirect Journals (5 years ago - present); EZB-FREE-00999 freely available EZB journals; ProQuest Central UK/Ireland |
| subjects | Adolescent Adult Anxiety Anxiety - epidemiology Anxiety - psychology Anxiety Disorders - epidemiology Anxiety Disorders - psychology China - epidemiology Coronavirus Coronavirus Infections - complications Coronavirus Infections - epidemiology Coronavirus Infections - psychology Coronaviruses COVID-19 Cross-Sectional Studies Depression - epidemiology Depression - psychology Female Hospital staff Humans Impact analysis Male Mental depression Mental Health Middle Aged Pandemics Pneumonia, Viral - complications Pneumonia, Viral - epidemiology Pneumonia, Viral - psychology Prevalence Psychological Distress SARS-CoV-2 Surveys and Questionnaires Viral infection Young Adult |
| title | Psychological distress surveillance and related impact analysis of hospital staff during the COVID-19 epidemic in Chongqing, China |
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