Links to Exploration step
Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">1675. Implementation of Electronic Travel History Screening at an Urban Medical Center</title><author><name sortKey="De St Maurice, Annabelle M" sort="De St Maurice, Annabelle M" uniqKey="De St Maurice A" first="Annabelle M" last="De St. Maurice">Annabelle M. De St. Maurice</name><affiliation><nlm:aff id="AF0001"><institution>UCLA David Geffen School of Medicine</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Martinez, Sandra" sort="Martinez, Sandra" uniqKey="Martinez S" first="Sandra" last="Martinez">Sandra Martinez</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Sweeney, Sarah" sort="Sweeney, Sarah" uniqKey="Sweeney S" first="Sarah" last="Sweeney">Sarah Sweeney</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Genta, Elizabeth" sort="Genta, Elizabeth" uniqKey="Genta E" first="Elizabeth" last="Genta">Elizabeth Genta</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Walton, Shaunte" sort="Walton, Shaunte" uniqKey="Walton S" first="Shaunte" last="Walton">Shaunte Walton</name><affiliation><nlm:aff id="AF0003"><institution>UCLA Health</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Rubin, Zachary A" sort="Rubin, Zachary A" uniqKey="Rubin Z" first="Zachary A" last="Rubin">Zachary A. Rubin</name><affiliation><nlm:aff id="AF0004"><institution>UCLA Medical Center</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Uslan, Daniel" sort="Uslan, Daniel" uniqKey="Uslan D" first="Daniel" last="Uslan">Daniel Uslan</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmc">6809912</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6809912</idno><idno type="RBID">PMC:6809912</idno><idno type="doi">10.1093/ofid/ofz360.1539</idno><idno type="pmid">NONE</idno><date when="2019">2019</date><idno type="wicri:Area/Pmc/Corpus">000635</idno><idno type="wicri:explorRef" wicri:stream="Pmc" wicri:step="Corpus" wicri:corpus="PMC">000635</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a" type="main">1675. Implementation of Electronic Travel History Screening at an Urban Medical Center</title><author><name sortKey="De St Maurice, Annabelle M" sort="De St Maurice, Annabelle M" uniqKey="De St Maurice A" first="Annabelle M" last="De St. Maurice">Annabelle M. De St. Maurice</name><affiliation><nlm:aff id="AF0001"><institution>UCLA David Geffen School of Medicine</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Martinez, Sandra" sort="Martinez, Sandra" uniqKey="Martinez S" first="Sandra" last="Martinez">Sandra Martinez</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Sweeney, Sarah" sort="Sweeney, Sarah" uniqKey="Sweeney S" first="Sarah" last="Sweeney">Sarah Sweeney</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Genta, Elizabeth" sort="Genta, Elizabeth" uniqKey="Genta E" first="Elizabeth" last="Genta">Elizabeth Genta</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Walton, Shaunte" sort="Walton, Shaunte" uniqKey="Walton S" first="Shaunte" last="Walton">Shaunte Walton</name><affiliation><nlm:aff id="AF0003"><institution>UCLA Health</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Rubin, Zachary A" sort="Rubin, Zachary A" uniqKey="Rubin Z" first="Zachary A" last="Rubin">Zachary A. Rubin</name><affiliation><nlm:aff id="AF0004"><institution>UCLA Medical Center</institution>, Los Angeles, California</nlm:aff></affiliation></author><author><name sortKey="Uslan, Daniel" sort="Uslan, Daniel" uniqKey="Uslan D" first="Daniel" last="Uslan">Daniel Uslan</name><affiliation><nlm:aff id="AF0002"><institution>UCLA</institution>, Los Angeles, California</nlm:aff></affiliation></author></analytic><series><title level="j">Open Forum Infectious Diseases</title><idno type="eISSN">2328-8957</idno><imprint><date when="2019">2019</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><title>Abstract</title><sec id="s2"><title>Background</title><p>Middle East Respiratory Syndrome (MERS), caused by a novel coronavirus, can lead to severe respiratory failure and death. CDC recommends screening patients who traveled to endemic countries for fever, respiratory symptoms, and exposure to MERS-positive contacts and healthcare facilities. UCLA is a large, academic, medical center located in a diverse city with frequent international travel. We implemented a travel screening (TS) questionnaire in our electronic medical record (EMR) (Figure 1) to identify high-risk patients in order to implement early isolation practices and testing. This study describes the use and performance of our TS for identifying suspect MERS cases.</p></sec><sec id="s3"><title>Methods</title><p>An EMR-based tool prompts nurses to ask patients at triage or admission whether they have traveled out of the country in the past 30 days (Figure 1). If patients answer affirmatively, the EMR prompts nurses to inquire about travel to specific high-risk countries and to review symptoms and exposure risks. Upon notification of a potential MERS case, the EID physician on-call reviews the TS, clinical history, epidemiologic risks, and makes a determination whether further evaluation and/or isolation for suspect MERS is necessary. We reviewed travel history, demographics, and symptoms of patients who triggered a positive TS from April 2017 to September 2018.</p></sec><sec id="s4"><title>Results</title><p>The ED completed 115,815 distinct TS on 81,197 individuals during this time period. The median time from ED arrival to TS completion was 6.4 minutes. 308 ED encounters triggered a positive TS; an additional 257 encounters in other units triggered a positive TS, resulting in 565 positive TS (Table 1). 122 (22%) expressed ≥1 MERS symptom and 29 (24%) expressed both fever and respiratory symptoms. Of these symptomatic patients, 0 had a history of contact with a MERS case; 3 had a history of contact with a healthcare facility while traveling; and 4 had a history of contact with camels. No patients were diagnosed with MERS (Table 2).</p></sec><sec id="s5"><title>Conclusion</title><p>A history of travel to the MERS endemic countries is relatively common at a large urban hospital. Routine electronic screening of patients is an efficient way to identify high-risk travelers. This EMR tool could be modified for other emerging pathogens, such as measles or Ebola, to identify high-risk patients.</p><p><graphic xlink:href="ofidis_ofz360_f1521.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p><p><graphic xlink:href="ofidis_ofz360_f1522.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p><p><graphic xlink:href="ofidis_ofz360_f1523.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p></sec><sec id="s6"><title>Disclosures</title><p><bold>All authors:</bold> No reported disclosures.</p></sec></div></front></TEI><pmc article-type="abstract"><pmc-dir>properties open_access</pmc-dir>
<front><journal-meta><journal-id journal-id-type="nlm-ta">Open Forum Infect Dis</journal-id><journal-id journal-id-type="iso-abbrev">Open Forum Infect Dis</journal-id><journal-id journal-id-type="publisher-id">ofid</journal-id><journal-title-group><journal-title>Open Forum Infectious Diseases</journal-title></journal-title-group><issn pub-type="epub">2328-8957</issn><publisher><publisher-name>Oxford University Press</publisher-name><publisher-loc>US</publisher-loc></publisher></journal-meta><article-meta><article-id pub-id-type="pmc">6809912</article-id><article-id pub-id-type="doi">10.1093/ofid/ofz360.1539</article-id><article-id pub-id-type="publisher-id">ofz360.1539</article-id><article-categories><subj-group subj-group-type="heading"><subject>Abstracts</subject><subj-group subj-group-type="category-toc-heading"><subject>Poster Abstracts</subject></subj-group></subj-group></article-categories><title-group><article-title>1675. Implementation of Electronic Travel History Screening at an Urban Medical Center</article-title></title-group><contrib-group><contrib contrib-type="author"><name><surname>de St. Maurice</surname><given-names>Annabelle M</given-names></name><degrees>MD;MPH</degrees><xref ref-type="aff" rid="AF0001">1</xref></contrib><contrib contrib-type="author"><name><surname>Martinez</surname><given-names>Sandra</given-names></name><degrees>MPH</degrees><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Sweeney</surname><given-names>Sarah</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Genta</surname><given-names>Elizabeth</given-names></name><degrees>BS</degrees><xref ref-type="aff" rid="AF0002">2</xref></contrib><contrib contrib-type="author"><name><surname>Walton</surname><given-names>Shaunte</given-names></name><degrees>MS</degrees><xref ref-type="aff" rid="AF0003">3</xref></contrib><contrib contrib-type="author"><name><surname>Rubin</surname><given-names>Zachary A</given-names></name><degrees>MD</degrees><xref ref-type="aff" rid="AF0004">4</xref></contrib><contrib contrib-type="author"><name><surname>Uslan</surname><given-names>Daniel</given-names></name><degrees>MD, MBA</degrees><xref ref-type="aff" rid="AF0002">2</xref></contrib></contrib-group><aff id="AF0001"><label>1</label><institution>UCLA David Geffen School of Medicine</institution>, Los Angeles, California</aff><aff id="AF0002"><label>2</label><institution>UCLA</institution>, Los Angeles, California</aff><aff id="AF0003"><label>3</label><institution>UCLA Health</institution>, Los Angeles, California</aff><aff id="AF0004"><label>4</label><institution>UCLA Medical Center</institution>, Los Angeles, California</aff><pub-date pub-type="collection"><month>10</month><year>2019</year></pub-date><pub-date pub-type="epub" iso-8601-date="2019-10-23"><day>23</day><month>10</month><year>2019</year></pub-date><pub-date pub-type="pmc-release"><day>23</day><month>10</month><year>2019</year></pub-date><pmc-comment> PMC Release delay is 0 months and 0 days and was based on the
<volume>6</volume><issue>Suppl 2</issue><issue-title>IDWeek 2019 Abstracts</issue-title><fpage>S613</fpage><lpage>S614</lpage><permissions><copyright-statement>© The Author(s) 2019. Published by Oxford University Press on behalf of Infectious Diseases Society of America.</copyright-statement><copyright-year>2019</copyright-year><license license-type="cc-by-nc-nd" xlink:href="http://creativecommons.org/licenses/by-nc-nd/4.0/"><license-p>This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs licence (<ext-link ext-link-type="uri" xlink:href="http://creativecommons.org/licenses/by-nc-nd/4.0/">http://creativecommons.org/licenses/by-nc-nd/4.0/</ext-link>), which permits non-commercial reproduction and distribution of the work, in any medium, provided the original work is not altered or transformed in any way, and that the work is properly cited. For commercial re-use, please contact journals.permissions@oup.com</license-p></license></permissions><self-uri xlink:href="ofz360.1539.pdf"></self-uri><abstract><title>Abstract</title><sec id="s2"><title>Background</title><p>Middle East Respiratory Syndrome (MERS), caused by a novel coronavirus, can lead to severe respiratory failure and death. CDC recommends screening patients who traveled to endemic countries for fever, respiratory symptoms, and exposure to MERS-positive contacts and healthcare facilities. UCLA is a large, academic, medical center located in a diverse city with frequent international travel. We implemented a travel screening (TS) questionnaire in our electronic medical record (EMR) (Figure 1) to identify high-risk patients in order to implement early isolation practices and testing. This study describes the use and performance of our TS for identifying suspect MERS cases.</p></sec><sec id="s3"><title>Methods</title><p>An EMR-based tool prompts nurses to ask patients at triage or admission whether they have traveled out of the country in the past 30 days (Figure 1). If patients answer affirmatively, the EMR prompts nurses to inquire about travel to specific high-risk countries and to review symptoms and exposure risks. Upon notification of a potential MERS case, the EID physician on-call reviews the TS, clinical history, epidemiologic risks, and makes a determination whether further evaluation and/or isolation for suspect MERS is necessary. We reviewed travel history, demographics, and symptoms of patients who triggered a positive TS from April 2017 to September 2018.</p></sec><sec id="s4"><title>Results</title><p>The ED completed 115,815 distinct TS on 81,197 individuals during this time period. The median time from ED arrival to TS completion was 6.4 minutes. 308 ED encounters triggered a positive TS; an additional 257 encounters in other units triggered a positive TS, resulting in 565 positive TS (Table 1). 122 (22%) expressed ≥1 MERS symptom and 29 (24%) expressed both fever and respiratory symptoms. Of these symptomatic patients, 0 had a history of contact with a MERS case; 3 had a history of contact with a healthcare facility while traveling; and 4 had a history of contact with camels. No patients were diagnosed with MERS (Table 2).</p></sec><sec id="s5"><title>Conclusion</title><p>A history of travel to the MERS endemic countries is relatively common at a large urban hospital. Routine electronic screening of patients is an efficient way to identify high-risk travelers. This EMR tool could be modified for other emerging pathogens, such as measles or Ebola, to identify high-risk patients.</p><p><graphic xlink:href="ofidis_ofz360_f1521.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p><p><graphic xlink:href="ofidis_ofz360_f1522.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p><p><graphic xlink:href="ofidis_ofz360_f1523.jpg" position="float" mimetype="image" orientation="portrait"></graphic></p></sec><sec id="s6"><title>Disclosures</title><p><bold>All authors:</bold> No reported disclosures.</p></sec></abstract><counts><page-count count="2"></page-count></counts></article-meta></front><back><notes id="n1"><p><bold>Session:</bold> 164. Stepping off your Doorstep - Global Health</p><p><italic>Friday, October 4, 2019: 12:15 PM</italic></p></notes></back></pmc></record>Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Sante/explor/MersV1/Data/Pmc/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000635 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Pmc/Corpus/biblio.hfd -nk 000635 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien
|wiki= Sante
|area= MersV1
|flux= Pmc
|étape= Corpus
|type= RBID
|clé=
|texte=
}}
| This area was generated with Dilib version V0.6.33. |  |