Analysis of Risk Factors on Readmission Cases of COVID-19 in the Republic of Korea: Using Nationwide Health Claims Data.
Identifieur interne : 000612 ( Main/Corpus ); précédent : 000611; suivant : 000613Analysis of Risk Factors on Readmission Cases of COVID-19 in the Republic of Korea: Using Nationwide Health Claims Data.
Auteurs : Woo-Hwi Jeon ; Jeong Yeon Seon ; So-Youn Park ; In-Hwan OhSource :
- International journal of environmental research and public health [ 1660-4601 ] ; 2020.
English descriptors
- KwdEn :
- Adolescent (MeSH), Adult (MeSH), Age Factors (MeSH), Aged (MeSH), Betacoronavirus (MeSH), Chi-Square Distribution (MeSH), Child (MeSH), Child, Preschool (MeSH), Comorbidity (MeSH), Coronavirus (MeSH), Coronavirus Infections (epidemiology), Female (MeSH), Health Expenditures (statistics & numerical data), Health Resources (statistics & numerical data), Humans (MeSH), Infant (MeSH), Insurance Claim Review (statistics & numerical data), Male (MeSH), Middle Aged (MeSH), Pandemics (MeSH), Patient Readmission (statistics & numerical data), Pneumonia, Viral (epidemiology), Republic of Korea (epidemiology), Risk Factors (MeSH), Sex Factors (MeSH), Socioeconomic Factors (MeSH), Young Adult (MeSH).
- MESH :
- geographic , epidemiology : Republic of Korea.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- statistics & numerical data : Health Expenditures, Health Resources, Insurance Claim Review, Patient Readmission.
- Adolescent, Adult, Age Factors, Aged, Betacoronavirus, Chi-Square Distribution, Child, Child, Preschool, Comorbidity, Coronavirus, Female, Humans, Infant, Male, Middle Aged, Pandemics, Risk Factors, Sex Factors, Socioeconomic Factors, Young Adult.
Abstract
In South Korea, 4.5% patients of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were readmitted to hospitals after discharge. However, there is insufficient research on risk factors for readmission and management of patients after discharge is poor. In this study, 7590 confirmed coronavirus disease (COVID-19) patients were defined as a target for analysis using nationwide medical claims data. The demographic characteristics, underlying diseases, and the use of medical resources were used to examine the association with readmission through the chi-square test and then logistic regression analysis was performed to analyze factors affecting readmission. Of the 7590 subjects analyzed, 328 patients were readmitted. The readmission rates of men, older age and patients with medical benefits showed a high risk of readmission. The Charlson Comorbidity Index score was also related to COVID-19 readmission. Concerning requiring medical attention, there was a higher risk of readmission for the patients with chest radiographs, computed tomography scans taken and lopinavir/ritonavir at the time of their first admission. Considering the risk factors presented in this study, classifying patients with a high risk of readmission and managing patients before and after discharge based on priority can make patient management and medical resource utilization more efficient. This study also indicates the importance of lifestyle management after discharge.
DOI: 10.3390/ijerph17165844
PubMed: 32806775
PubMed Central: PMC7460295
Links to Exploration step
pubmed:32806775Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Analysis of Risk Factors on Readmission Cases of COVID-19 in the Republic of Korea: Using Nationwide Health Claims Data.</title><author><name sortKey="Jeon, Woo Hwi" sort="Jeon, Woo Hwi" uniqKey="Jeon W" first="Woo-Hwi" last="Jeon">Woo-Hwi Jeon</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Seon, Jeong Yeon" sort="Seon, Jeong Yeon" uniqKey="Seon J" first="Jeong Yeon" last="Seon">Jeong Yeon Seon</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Park, So Youn" sort="Park, So Youn" uniqKey="Park S" first="So-Youn" last="Park">So-Youn Park</name><affiliation><nlm:affiliation>Department of Medical Education and Humanities, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Oh, In Hwan" sort="Oh, In Hwan" uniqKey="Oh I" first="In-Hwan" last="Oh">In-Hwan Oh</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PubMed</idno><date when="2020">2020</date><idno type="RBID">pubmed:32806775</idno><idno type="pmid">32806775</idno><idno type="doi">10.3390/ijerph17165844</idno><idno type="pmc">PMC7460295</idno><idno type="wicri:Area/Main/Corpus">000612</idno><idno type="wicri:explorRef" wicri:stream="Main" wicri:step="Corpus" wicri:corpus="PubMed">000612</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en">Analysis of Risk Factors on Readmission Cases of COVID-19 in the Republic of Korea: Using Nationwide Health Claims Data.</title><author><name sortKey="Jeon, Woo Hwi" sort="Jeon, Woo Hwi" uniqKey="Jeon W" first="Woo-Hwi" last="Jeon">Woo-Hwi Jeon</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Seon, Jeong Yeon" sort="Seon, Jeong Yeon" uniqKey="Seon J" first="Jeong Yeon" last="Seon">Jeong Yeon Seon</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Park, So Youn" sort="Park, So Youn" uniqKey="Park S" first="So-Youn" last="Park">So-Youn Park</name><affiliation><nlm:affiliation>Department of Medical Education and Humanities, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author><author><name sortKey="Oh, In Hwan" sort="Oh, In Hwan" uniqKey="Oh I" first="In-Hwan" last="Oh">In-Hwan Oh</name><affiliation><nlm:affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</nlm:affiliation></affiliation></author></analytic><series><title level="j">International journal of environmental research and public health</title><idno type="eISSN">1660-4601</idno><imprint><date when="2020" type="published">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Adolescent (MeSH)</term><term>Adult (MeSH)</term><term>Age Factors (MeSH)</term><term>Aged (MeSH)</term><term>Betacoronavirus (MeSH)</term><term>Chi-Square Distribution (MeSH)</term><term>Child (MeSH)</term><term>Child, Preschool (MeSH)</term><term>Comorbidity (MeSH)</term><term>Coronavirus (MeSH)</term><term>Coronavirus Infections (epidemiology)</term><term>Female (MeSH)</term><term>Health Expenditures (statistics & numerical data)</term><term>Health Resources (statistics & numerical data)</term><term>Humans (MeSH)</term><term>Infant (MeSH)</term><term>Insurance Claim Review (statistics & numerical data)</term><term>Male (MeSH)</term><term>Middle Aged (MeSH)</term><term>Pandemics (MeSH)</term><term>Patient Readmission (statistics & numerical data)</term><term>Pneumonia, Viral (epidemiology)</term><term>Republic of Korea (epidemiology)</term><term>Risk Factors (MeSH)</term><term>Sex Factors (MeSH)</term><term>Socioeconomic Factors (MeSH)</term><term>Young Adult (MeSH)</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>Republic of Korea</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="statistics & numerical data" xml:lang="en"><term>Health Expenditures</term><term>Health Resources</term><term>Insurance Claim Review</term><term>Patient Readmission</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Adolescent</term><term>Adult</term><term>Age Factors</term><term>Aged</term><term>Betacoronavirus</term><term>Chi-Square Distribution</term><term>Child</term><term>Child, Preschool</term><term>Comorbidity</term><term>Coronavirus</term><term>Female</term><term>Humans</term><term>Infant</term><term>Male</term><term>Middle Aged</term><term>Pandemics</term><term>Risk Factors</term><term>Sex Factors</term><term>Socioeconomic Factors</term><term>Young Adult</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">In South Korea, 4.5% patients of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were readmitted to hospitals after discharge. However, there is insufficient research on risk factors for readmission and management of patients after discharge is poor. In this study, 7590 confirmed coronavirus disease (COVID-19) patients were defined as a target for analysis using nationwide medical claims data. The demographic characteristics, underlying diseases, and the use of medical resources were used to examine the association with readmission through the chi-square test and then logistic regression analysis was performed to analyze factors affecting readmission. Of the 7590 subjects analyzed, 328 patients were readmitted. The readmission rates of men, older age and patients with medical benefits showed a high risk of readmission. The Charlson Comorbidity Index score was also related to COVID-19 readmission. Concerning requiring medical attention, there was a higher risk of readmission for the patients with chest radiographs, computed tomography scans taken and lopinavir/ritonavir at the time of their first admission. Considering the risk factors presented in this study, classifying patients with a high risk of readmission and managing patients before and after discharge based on priority can make patient management and medical resource utilization more efficient. This study also indicates the importance of lifestyle management after discharge.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" IndexingMethod="Curated" Owner="NLM"><PMID Version="1">32806775</PMID><DateCompleted><Year>2020</Year><Month>09</Month><Day>02</Day></DateCompleted><DateRevised><Year>2020</Year><Month>09</Month><Day>03</Day></DateRevised><Article PubModel="Electronic"><Journal><ISSN IssnType="Electronic">1660-4601</ISSN><JournalIssue CitedMedium="Internet"><Volume>17</Volume><Issue>16</Issue><PubDate><Year>2020</Year><Month>08</Month><Day>12</Day></PubDate></JournalIssue><Title>International journal of environmental research and public health</Title><ISOAbbreviation>Int J Environ Res Public Health</ISOAbbreviation></Journal><ArticleTitle>Analysis of Risk Factors on Readmission Cases of COVID-19 in the Republic of Korea: Using Nationwide Health Claims Data.</ArticleTitle><ELocationID EIdType="pii" ValidYN="Y">E5844</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.3390/ijerph17165844</ELocationID><Abstract><AbstractText>In South Korea, 4.5% patients of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were readmitted to hospitals after discharge. However, there is insufficient research on risk factors for readmission and management of patients after discharge is poor. In this study, 7590 confirmed coronavirus disease (COVID-19) patients were defined as a target for analysis using nationwide medical claims data. The demographic characteristics, underlying diseases, and the use of medical resources were used to examine the association with readmission through the chi-square test and then logistic regression analysis was performed to analyze factors affecting readmission. Of the 7590 subjects analyzed, 328 patients were readmitted. The readmission rates of men, older age and patients with medical benefits showed a high risk of readmission. The Charlson Comorbidity Index score was also related to COVID-19 readmission. Concerning requiring medical attention, there was a higher risk of readmission for the patients with chest radiographs, computed tomography scans taken and lopinavir/ritonavir at the time of their first admission. Considering the risk factors presented in this study, classifying patients with a high risk of readmission and managing patients before and after discharge based on priority can make patient management and medical resource utilization more efficient. This study also indicates the importance of lifestyle management after discharge.</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Jeon</LastName><ForeName>Woo-Hwi</ForeName><Initials>WH</Initials><Identifier Source="ORCID">0000-0002-8544-4115</Identifier><AffiliationInfo><Affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Seon</LastName><ForeName>Jeong Yeon</ForeName><Initials>JY</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Park</LastName><ForeName>So-Youn</ForeName><Initials>SY</Initials><AffiliationInfo><Affiliation>Department of Medical Education and Humanities, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Oh</LastName><ForeName>In-Hwan</ForeName><Initials>IH</Initials><AffiliationInfo><Affiliation>Department of Preventive Medicine, School of Medicine, Kyung Hee University, Seoul 02447, Korea.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><GrantList CompleteYN="Y"><Grant><GrantID>HI18C0446</GrantID><Agency>Korea Health Industry Development Institute</Agency><Country>International</Country></Grant></GrantList><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType><PublicationType UI="D013485">Research Support, Non-U.S. Gov't</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>08</Month><Day>12</Day></ArticleDate></Article><MedlineJournalInfo><Country>Switzerland</Country><MedlineTA>Int J Environ Res Public Health</MedlineTA><NlmUniqueID>101238455</NlmUniqueID><ISSNLinking>1660-4601</ISSNLinking></MedlineJournalInfo><SupplMeshList><SupplMeshName Type="Disease" UI="C000657245">COVID-19</SupplMeshName><SupplMeshName Type="Organism" UI="C000656484">severe acute respiratory syndrome coronavirus 2</SupplMeshName></SupplMeshList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000293" MajorTopicYN="N">Adolescent</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000367" MajorTopicYN="N">Age Factors</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000368" MajorTopicYN="N">Aged</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D016009" MajorTopicYN="N">Chi-Square 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IdType="pmc">PMC7460295</ArticleId></ArticleIdList><ReferenceList><Reference><Citation>N Engl J Med. 2020 May 7;382(19):1787-1799</Citation><ArticleIdList><ArticleId IdType="pubmed">32187464</ArticleId></ArticleIdList></Reference><Reference><Citation>Int J Equity Health. 2017 Jun 19;16(1):103</Citation><ArticleIdList><ArticleId IdType="pubmed">28629356</ArticleId></ArticleIdList></Reference><Reference><Citation>West J Emerg Med. 2020 Apr 10;21(3):507-509</Citation><ArticleIdList><ArticleId IdType="pubmed">32302282</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect. 2020 Aug;81(2):e49-e52</Citation><ArticleIdList><ArticleId IdType="pubmed">32335176</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Virol. 2020 Apr 9;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32270882</ArticleId></ArticleIdList></Reference><Reference><Citation>J Formos Med Assoc. 2020 Jun;119(6):1123</Citation><ArticleIdList><ArticleId IdType="pubmed">32340768</ArticleId></ArticleIdList></Reference><Reference><Citation>Am J Physiol Lung Cell Mol Physiol. 2016 Mar 1;310(5):L415-25</Citation><ArticleIdList><ArticleId IdType="pubmed">26684252</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Virol. 2020 Jun 19;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32558947</ArticleId></ArticleIdList></Reference><Reference><Citation>J Infect. 2020 Aug;81(2):e72-e73</Citation><ArticleIdList><ArticleId IdType="pubmed">32389787</ArticleId></ArticleIdList></Reference><Reference><Citation>QJM. 2020 May 22;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32442308</ArticleId></ArticleIdList></Reference><Reference><Citation>Lancet. 2020 Mar 28;395(10229):1054-1062</Citation><ArticleIdList><ArticleId IdType="pubmed">32171076</ArticleId></ArticleIdList></Reference><Reference><Citation>J Med Virol. 2020 Jun 3;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32492212</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA. 2020 Feb 24;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32091533</ArticleId></ArticleIdList></Reference><Reference><Citation>JAMA. 2020 Apr 22;:</Citation><ArticleIdList><ArticleId IdType="pubmed">32320003</ArticleId></ArticleIdList></Reference><Reference><Citation>PLoS Pathog. 2012;8(5):e1002710</Citation><ArticleIdList><ArticleId IdType="pubmed">22615569</ArticleId></ArticleIdList></Reference></ReferenceList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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