Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China
Identifieur interne : 000155 ( 2020/Analysis ); précédent : 000154; suivant : 000156Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China
Auteurs : Tang Yifan [République populaire de Chine] ; Liu Ying [République populaire de Chine] ; Gao Chunhong [République populaire de Chine] ; Song Jing [République populaire de Chine] ; Wang Rong [République populaire de Chine] ; Li Zhenyu [République populaire de Chine] ; Gu Zejuan [République populaire de Chine] ; Liao PeihungSource :
- Journal of Pain and Symptom Management [ 0885-3924 ] ; 2020.
Abstract
In treating highly infectious COVID-19 pneumonia, ICU nurses face a high risk of developing somatic symptom disorder (SSD). The present study aims to investigate the symptoms and causes of SSD of ICU nurses treating COVID-19 pneumonia. The research results are expected to provide evidence for the establishment of a better management strategy.
This study enrolled a total of 140 ICU nurses who were selected by Jiangsu Province Hospital to work in Wuhan (the epicenter of the COVID-19 epidemic in China) on 3rd February 2020. A questionnaire “Somatic Symptom Disorders for ICU Nurses in Wuhan No.1 Hospital” was designed based on the “International Classification of Functioning, Disability and Health” (ICF). Exploratory factor analysis was performed to cluster the symptoms, and logistic regression analysis to find the risk factors of the symptoms.
Five major symptoms were chest-discomfort-and-palpitation (31.4%), dyspnea (30.7%), nausea (21.4%), headache (19.3%), and dizziness (17.9%). In exploratory factor analysis, the symptoms were classified into three clusters: Cluster A of breathing and sleep disturbances (dizziness, sleepiness, dyspnea); Cluster B of gastrointestinal complaints and pain (nausea, headache), and Cluster C of general symptoms (xerostomia, fatigue, chest-discomfort-and-palpitation). In Cluster A, urine/feces splash, sex, and sputum splash were independent predictive factors. In Cluster B, fall of protective glasses and urine/feces splash were independent predictive factors. In Cluster C, urine/feces splash and urine/feces clearance were independent predictive factors.
The ICU nurses in Wuhan showed varying and overlapping SSDs. These SSDs could be classified into three symptom clusters. Based on the characteristics of their SSDs, specific interventions could be implemented to safeguard the health of ICU nurses.
Url:
DOI: 10.1016/j.jpainsymman.2020.03.039
PubMed: 32276095
PubMed Central: 7141465
Affiliations:
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PMC:7141465Le document en format XML
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Taiwan</wicri:noCountry></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32276095</idno><idno type="pmc">7141465</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7141465</idno><idno type="RBID">PMC:7141465</idno><idno type="doi">10.1016/j.jpainsymman.2020.03.039</idno><date when="2020">2020</date><idno type="wicri:Area/Pmc/Corpus">000751</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000751</idno><idno type="wicri:Area/Pmc/Curation">000751</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Curation">000751</idno><idno type="wicri:Area/Pmc/Checkpoint">000118</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Checkpoint">000118</idno><idno type="wicri:Area/Ncbi/Merge">000D34</idno><idno type="wicri:Area/Ncbi/Curation">000D34</idno><idno type="wicri:Area/Ncbi/Checkpoint">000D34</idno><idno type="wicri:doubleKey">0885-3924:2020:Yifan T:symptom:cluster:of</idno><idno type="wicri:Area/Main/Merge">000155</idno><idno type="wicri:Area/Main/Curation">000155</idno><idno type="wicri:Area/Main/Exploration">000155</idno><idno type="wicri:Area/2020/Extraction">000155</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China</title><author><name sortKey="Yifan, Tang" sort="Yifan, Tang" uniqKey="Yifan T" first="Tang" last="Yifan">Tang Yifan</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Ying, Liu" sort="Ying, Liu" uniqKey="Ying L" first="Liu" last="Ying">Liu Ying</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Chunhong, Gao" sort="Chunhong, Gao" uniqKey="Chunhong G" first="Gao" last="Chunhong">Gao Chunhong</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Jing, Song" sort="Jing, Song" uniqKey="Jing S" first="Song" last="Jing">Song Jing</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Rong, Wang" sort="Rong, Wang" uniqKey="Rong W" first="Wang" last="Rong">Wang Rong</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Zhenyu, Li" sort="Zhenyu, Li" uniqKey="Zhenyu L" first="Li" last="Zhenyu">Li Zhenyu</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Zejuan, Gu" sort="Zejuan, Gu" uniqKey="Zejuan G" first="Gu" last="Zejuan">Gu Zejuan</name><affiliation wicri:level="1"><nlm:aff id="aff1">The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029, P.R. China</nlm:aff><country xml:lang="fr" wicri:curation="lc">République populaire de Chine</country><wicri:regionArea>The First Affiliated Hospital with Nanjing Medical University, Nanjing, Jiang Province, 210029</wicri:regionArea><wicri:noRegion>210029</wicri:noRegion></affiliation></author><author><name sortKey="Peihung, Liao" sort="Peihung, Liao" uniqKey="Peihung L" first="Liao" last="Peihung">Liao Peihung</name><affiliation><nlm:aff id="aff2">Assistant professor, National Taipei University of Nursing and Health sciences. Taipei. Taiwan</nlm:aff><wicri:noCountry code="subfield">National Taipei University of Nursing and Health sciences. Taipei. Taiwan</wicri:noCountry></affiliation></author></analytic><series><title level="j">Journal of Pain and Symptom Management</title><idno type="ISSN">0885-3924</idno><idno type="eISSN">1873-6513</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><sec><title>Objective</title><p>In treating highly infectious COVID-19 pneumonia, ICU nurses face a high risk of developing somatic symptom disorder (SSD). The present study aims to investigate the symptoms and causes of SSD of ICU nurses treating COVID-19 pneumonia. The research results are expected to provide evidence for the establishment of a better management strategy.</p></sec><sec><title>Methods</title><p>This study enrolled a total of 140 ICU nurses who were selected by Jiangsu Province Hospital to work in Wuhan (the epicenter of the COVID-19 epidemic in China) on 3<sup>rd</sup> February 2020. A questionnaire “Somatic Symptom Disorders for ICU Nurses in Wuhan No.1 Hospital” was designed based on the “International Classification of Functioning, Disability and Health” (ICF). Exploratory factor analysis was performed to cluster the symptoms, and logistic regression analysis to find the risk factors of the symptoms.</p></sec><sec><title>Results</title><p>Five major symptoms were chest-discomfort-and-palpitation (31.4%), dyspnea (30.7%), nausea (21.4%), headache (19.3%), and dizziness (17.9%). In exploratory factor analysis, the symptoms were classified into three clusters: Cluster A of breathing and sleep disturbances (dizziness, sleepiness, dyspnea); Cluster B of gastrointestinal complaints and pain (nausea, headache), and Cluster C of general symptoms (xerostomia, fatigue, chest-discomfort-and-palpitation). In Cluster A, urine/feces splash, sex, and sputum splash were independent predictive factors. In Cluster B, fall of protective glasses and urine/feces splash were independent predictive factors. In Cluster C, urine/feces splash and urine/feces clearance were independent predictive factors.</p></sec><sec><title>Conclusion</title><p>The ICU nurses in Wuhan showed varying and overlapping SSDs. These SSDs could be classified into three symptom clusters. Based on the characteristics of their SSDs, specific interventions could be implemented to safeguard the health of ICU nurses.</p></sec></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Seaman, J B" uniqKey="Seaman J">J.B. Seaman</name></author><author><name sortKey="Cohen, T R" uniqKey="Cohen T">T.R. Cohen</name></author><author><name sortKey="White, D B" uniqKey="White D">D.B. White</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Huang, C" uniqKey="Huang C">C. Huang</name></author><author><name sortKey="Wang, Y" uniqKey="Wang Y">Y. Wang</name></author><author><name sortKey="Li, X" uniqKey="Li X">X. Li</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Velavan, T P" uniqKey="Velavan T">T.P. Velavan</name></author><author><name sortKey="Meyer, C G" uniqKey="Meyer C">C.G. 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Rylands</name></author><author><name sortKey="Allan, J" uniqKey="Allan J">J. Allan</name></author></analytic></biblStruct><biblStruct><analytic><author><name sortKey="Bacchetta, A P" uniqKey="Bacchetta A">A.P. Bacchetta</name></author><author><name sortKey="Melloni, R" uniqKey="Melloni R">R. Melloni</name></author><author><name sortKey="Collino, F" uniqKey="Collino F">F. Collino</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list><country><li>République populaire de Chine</li></country></list><tree><noCountry><name sortKey="Peihung, Liao" sort="Peihung, Liao" uniqKey="Peihung L" first="Liao" last="Peihung">Liao Peihung</name></noCountry><country name="République populaire de Chine"><noRegion><name sortKey="Yifan, Tang" sort="Yifan, Tang" uniqKey="Yifan T" first="Tang" last="Yifan">Tang Yifan</name></noRegion><name sortKey="Chunhong, Gao" sort="Chunhong, Gao" uniqKey="Chunhong G" first="Gao" last="Chunhong">Gao Chunhong</name><name sortKey="Jing, Song" sort="Jing, Song" uniqKey="Jing S" first="Song" last="Jing">Song Jing</name><name sortKey="Rong, Wang" sort="Rong, Wang" uniqKey="Rong W" first="Wang" last="Rong">Wang Rong</name><name sortKey="Ying, Liu" sort="Ying, Liu" uniqKey="Ying L" first="Liu" last="Ying">Liu Ying</name><name sortKey="Zejuan, Gu" sort="Zejuan, Gu" uniqKey="Zejuan G" first="Gu" last="Zejuan">Gu Zejuan</name><name sortKey="Zhenyu, Li" sort="Zhenyu, Li" uniqKey="Zhenyu L" first="Li" last="Zhenyu">Li Zhenyu</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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|wiki= Sante
|area= StressCovidV1
|flux= 2020
|étape= Analysis
|type= RBID
|clé= PMC:7141465
|texte= Symptom Cluster of ICU nurses treating COVID-19 pneumonia patients in Wuhan, China
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