Variables Influencing Radiology Volume Recovery During the Next Phase of the Coronavirus Disease 2019 (COVID-19) Pandemic.
Identifieur interne : 000161 ( Main/Exploration ); précédent : 000160; suivant : 000162Variables Influencing Radiology Volume Recovery During the Next Phase of the Coronavirus Disease 2019 (COVID-19) Pandemic.
Auteurs : Nikhil Madhuripan [États-Unis] ; Helen M C. Cheung [États-Unis] ; Li Hsia Alicia Cheong [États-Unis] ; Anugayathri Jawahar [États-Unis] ; Marc H. Willis [États-Unis] ; David B. Larson [États-Unis]Source :
- Journal of the American College of Radiology : JACR [ 1558-349X ] ; 2020.
Descripteurs français
- KwdFr :
- Betacoronavirus (MeSH), Charge de travail (MeSH), Gestion de cabinet médical (organisation et administration), Humains (MeSH), Infection croisée (prévention et contrôle), Infections à coronavirus (prévention et contrôle), Infections à coronavirus (épidémiologie), Pandémies (prévention et contrôle), Pneumopathie virale (prévention et contrôle), Pneumopathie virale (épidémiologie), Prévention des infections (méthodes), Service hospitalier de radiologie-radiothérapie (organisation et administration), Transmission de maladie infectieuse du patient au professionnel de santé (prévention et contrôle), Épidémies de maladies (prévention et contrôle), États-Unis (épidémiologie).
- MESH :
- méthodes : Prévention des infections.
- organisation et administration : Gestion de cabinet médical, Service hospitalier de radiologie-radiothérapie.
- prévention et contrôle : Infection croisée, Infections à coronavirus, Pandémies, Pneumopathie virale, Transmission de maladie infectieuse du patient au professionnel de santé, Épidémies de maladies.
- épidémiologie : Infections à coronavirus, Pneumopathie virale, États-Unis.
- Betacoronavirus, Charge de travail, Humains.
- Wicri :
- geographic : États-Unis.
English descriptors
- KwdEn :
- Betacoronavirus (MeSH), COVID-19 (MeSH), Coronavirus Infections (epidemiology), Coronavirus Infections (prevention & control), Cross Infection (prevention & control), Disease Outbreaks (prevention & control), Humans (MeSH), Infection Control (methods), Infectious Disease Transmission, Patient-to-Professional (prevention & control), Pandemics (prevention & control), Pneumonia, Viral (epidemiology), Pneumonia, Viral (prevention & control), Practice Management, Medical (organization & administration), Radiology Department, Hospital (organization & administration), SARS-CoV-2 (MeSH), United States (epidemiology), Workload (MeSH).
- MESH :
- geographic , epidemiology : United States.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Infection Control.
- organization & administration : Practice Management, Medical, Radiology Department, Hospital.
- prevention & control : Coronavirus Infections, Cross Infection, Disease Outbreaks, Infectious Disease Transmission, Patient-to-Professional, Pandemics, Pneumonia, Viral.
- Betacoronavirus, COVID-19, Humans, SARS-CoV-2, Workload.
Abstract
The coronavirus disease 2019 (COVID-19) pandemic has reduced radiology volumes across the country as providers have decreased elective care to minimize the spread of infection and free up health care delivery system capacity. After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent "waves" of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.
DOI: 10.1016/j.jacr.2020.05.026
PubMed: 32505562
PubMed Central: PMC7262523
Affiliations:
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After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent "waves" of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.</div></front></TEI><pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32505562</PMID><DateCompleted><Year>2020</Year><Month>07</Month><Day>16</Day></DateCompleted><DateRevised><Year>2021</Year><Month>01</Month><Day>10</Day></DateRevised><Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1558-349X</ISSN><JournalIssue CitedMedium="Internet"><Volume>17</Volume><Issue>7</Issue><PubDate><Year>2020</Year><Month>Jul</Month></PubDate></JournalIssue><Title>Journal of the American College of Radiology : JACR</Title><ISOAbbreviation>J Am Coll Radiol</ISOAbbreviation></Journal><ArticleTitle>Variables Influencing Radiology Volume Recovery During the Next Phase of the Coronavirus Disease 2019 (COVID-19) Pandemic.</ArticleTitle><Pagination><MedlinePgn>855-864</MedlinePgn></Pagination><ELocationID EIdType="pii" ValidYN="Y">S1546-1440(20)30551-2</ELocationID><ELocationID EIdType="doi" ValidYN="Y">10.1016/j.jacr.2020.05.026</ELocationID><Abstract><AbstractText>The coronavirus disease 2019 (COVID-19) pandemic has reduced radiology volumes across the country as providers have decreased elective care to minimize the spread of infection and free up health care delivery system capacity. After the stay-at-home order was issued in our county, imaging volumes at our institution decreased to approximately 46% of baseline volumes, similar to the experience of other radiology practices. Given the substantial differences in severity and timing of the disease in different geographic regions, estimating resumption of radiology volumes will be one of the next major challenges for radiology practices. We hypothesize that there are six major variables that will likely predict radiology volumes: (1) severity of disease in the local region, including potential subsequent "waves" of infection; (2) lifting of government social distancing restrictions; (3) patient concern regarding risk of leaving home and entering imaging facilities; (4) management of pent-up demand for imaging delayed during the acute phase of the pandemic, including institutional capacity; (5) impact of the economic downturn on health insurance and ability to pay for imaging; and (6) radiology practice profile reflecting amount of elective imaging performed, including type of patients seen by the radiology practice such as emergency, inpatient, outpatient mix and subspecialty types. We encourage radiology practice leaders to use these and other relevant variables to plan for the coming weeks and to work collaboratively with local health system and governmental leaders to help ensure that needed patient care is restored as quickly as the environment will safely permit.</AbstractText><CopyrightInformation>Copyright © 2020 American College of Radiology. Published by Elsevier Inc. All rights reserved.</CopyrightInformation></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Madhuripan</LastName><ForeName>Nikhil</ForeName><Initials>N</Initials><AffiliationInfo><Affiliation>Department of Radiology, Stanford University School of Medicine, Stanford, California.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Cheung</LastName><ForeName>Helen M C</ForeName><Initials>HMC</Initials><AffiliationInfo><Affiliation>Department of Radiology, Stanford University School of Medicine, Stanford, California.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Alicia Cheong</LastName><ForeName>Li Hsia</ForeName><Initials>LH</Initials><AffiliationInfo><Affiliation>Department of Radiology, Stanford University School of Medicine, Stanford, California.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Jawahar</LastName><ForeName>Anugayathri</ForeName><Initials>A</Initials><AffiliationInfo><Affiliation>Department of Radiology, Stanford University School of Medicine, Stanford, California.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Willis</LastName><ForeName>Marc H</ForeName><Initials>MH</Initials><AffiliationInfo><Affiliation>Associate Chair of Quality Improvement, Department of Radiology, Stanford University School of Medicine, Stanford, California.</Affiliation></AffiliationInfo></Author><Author ValidYN="Y"><LastName>Larson</LastName><ForeName>David B</ForeName><Initials>DB</Initials><AffiliationInfo><Affiliation>Vice Chair of Education and Clinical Operations, Department of Radiology, Stanford University School of Medicine, Stanford, California. Electronic address: david.larson@stanford.edu.</Affiliation></AffiliationInfo></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType></PublicationTypeList><ArticleDate DateType="Electronic"><Year>2020</Year><Month>06</Month><Day>01</Day></ArticleDate></Article><MedlineJournalInfo><Country>United States</Country><MedlineTA>J Am Coll Radiol</MedlineTA><NlmUniqueID>101190326</NlmUniqueID><ISSNLinking>1546-1440</ISSNLinking></MedlineJournalInfo><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName UI="D000073640" MajorTopicYN="N">Betacoronavirus</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D000086382" MajorTopicYN="N">COVID-19</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D018352" MajorTopicYN="N">Coronavirus Infections</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D003428" MajorTopicYN="N">Cross Infection</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D004196" MajorTopicYN="N">Disease Outbreaks</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D017053" MajorTopicYN="N">Infection Control</DescriptorName><QualifierName UI="Q000379" MajorTopicYN="N">methods</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D017758" MajorTopicYN="N">Infectious Disease Transmission, Patient-to-Professional</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D058873" MajorTopicYN="N">Pandemics</DescriptorName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011024" MajorTopicYN="N">Pneumonia, Viral</DescriptorName><QualifierName UI="Q000453" MajorTopicYN="Y">epidemiology</QualifierName><QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011216" MajorTopicYN="N">Practice Management, Medical</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D011872" MajorTopicYN="N">Radiology Department, Hospital</DescriptorName><QualifierName UI="Q000458" MajorTopicYN="Y">organization & administration</QualifierName></MeshHeading><MeshHeading><DescriptorName UI="D000086402" MajorTopicYN="N">SARS-CoV-2</DescriptorName></MeshHeading><MeshHeading><DescriptorName UI="D014481" MajorTopicYN="N" 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first="Nikhil" last="Madhuripan">Nikhil Madhuripan</name></region><name sortKey="Alicia Cheong, Li Hsia" sort="Alicia Cheong, Li Hsia" uniqKey="Alicia Cheong L" first="Li Hsia" last="Alicia Cheong">Li Hsia Alicia Cheong</name><name sortKey="Cheung, Helen M C" sort="Cheung, Helen M C" uniqKey="Cheung H" first="Helen M C" last="Cheung">Helen M C. Cheung</name><name sortKey="Jawahar, Anugayathri" sort="Jawahar, Anugayathri" uniqKey="Jawahar A" first="Anugayathri" last="Jawahar">Anugayathri Jawahar</name><name sortKey="Larson, David B" sort="Larson, David B" uniqKey="Larson D" first="David B" last="Larson">David B. Larson</name><name sortKey="Willis, Marc H" sort="Willis, Marc H" uniqKey="Willis M" first="Marc H" last="Willis">Marc H. Willis</name></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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