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Holistic care for patients with severe coronavirus disease 2019: An expert consensus☆

Identifieur interne : 001328 ( Ncbi/Merge ); précédent : 001327; suivant : 001329

Holistic care for patients with severe coronavirus disease 2019: An expert consensus☆

Auteurs : Hui Wang [République populaire de Chine] ; Tieying Zeng [République populaire de Chine] ; Xinjuan Wu [République populaire de Chine] ; Hong Sun [République populaire de Chine]

Source :

RBID : PMC:7128660

Abstract

Objective

To standardize the holistic care for patients with severe coronavirus disease 2019 (COVID-19).

Methods

The consensus was preliminarily formed by combining relevant literature findings and frontline medical working experiences, and it was eventually confirmed by five rounds of online discussions and expert consultations.

Results

This consensus included nursing assessment, nursing priorities, nursing goals, and thirteen key points of nursing procedures such as nursing of oxygen therapy and respiratory nursing.

Conclusion

This scientific and practical consensus guideline can provide clinical guidance on the holistic nursing care of patients with severe COVID-19.


Url:
DOI: 10.1016/j.ijnss.2020.03.010
PubMed: NONE
PubMed Central: 7128660

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PMC:7128660

Le document en format XML

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<title>Methods</title>
<p>The consensus was preliminarily formed by combining relevant literature findings and frontline medical working experiences, and it was eventually confirmed by five rounds of online discussions and expert consultations.</p>
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<article-title>Holistic care for patients with severe coronavirus disease 2019: An expert consensus
<sup>
<xref ref-type="fn" rid="d32e411"></xref>
</sup>
</article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<collab>Nursing Department of Tongji Hospital Affiliated to Tongji Medical College Hust</collab>
</contrib>
<contrib contrib-type="author">
<collab>Nursing Department of Peking Union Medical College Hospital</collab>
</contrib>
<contrib contrib-type="author">
<collab>Intensive Care Professional Committee of the Chinese Nursing Association</collab>
</contrib>
<contrib contrib-type="author">
<collab>Writing Committee Members</collab>
</contrib>
<contrib contrib-type="author" id="au1">
<name>
<surname>Wang</surname>
<given-names>Hui</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au2">
<name>
<surname>Zeng</surname>
<given-names>Tieying</given-names>
</name>
<xref rid="aff1" ref-type="aff">a</xref>
</contrib>
<contrib contrib-type="author" id="au3">
<name>
<surname>Wu</surname>
<given-names>Xinjuan</given-names>
</name>
<email>wuxinjuan@sina.com</email>
<xref rid="aff2" ref-type="aff">b</xref>
<xref rid="cor1" ref-type="corresp"></xref>
</contrib>
<contrib contrib-type="author" id="au4">
<name>
<surname>Sun</surname>
<given-names>Hong</given-names>
</name>
<xref rid="aff2" ref-type="aff">b</xref>
</contrib>
</contrib-group>
<aff id="aff1">
<label>a</label>
Nursing Department, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China</aff>
<aff id="aff2">
<label>b</label>
Nursing Department, Peking Union Medical College Hospital, Chinese Academy of Medicine Sciences, Beijing, China</aff>
<author-notes>
<corresp id="cor1">
<label></label>
Corresponding author.
<email>wuxinjuan@sina.com</email>
</corresp>
</author-notes>
<pub-date pub-type="pmc-release">
<day>4</day>
<month>4</month>
<year>2020</year>
</pub-date>
<pmc-comment> PMC Release delay is 0 months and 0 days and was based on .</pmc-comment>
<pub-date pub-type="epub">
<day>4</day>
<month>4</month>
<year>2020</year>
</pub-date>
<elocation-id></elocation-id>
<history>
<date date-type="received">
<day>18</day>
<month>3</month>
<year>2020</year>
</date>
<date date-type="accepted">
<day>31</day>
<month>3</month>
<year>2020</year>
</date>
</history>
<permissions>
<copyright-statement>© 2020 Chinese Nursing Association. Production and hosting by Elsevier B.V.</copyright-statement>
<copyright-year>2020</copyright-year>
<copyright-holder>Chinese Nursing Association</copyright-holder>
<license>
<license-p>Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.</license-p>
</license>
</permissions>
<abstract id="abs0010">
<sec>
<title>Objective</title>
<p>To standardize the holistic care for patients with severe coronavirus disease 2019 (COVID-19).</p>
</sec>
<sec>
<title>Methods</title>
<p>The consensus was preliminarily formed by combining relevant literature findings and frontline medical working experiences, and it was eventually confirmed by five rounds of online discussions and expert consultations.</p>
</sec>
<sec>
<title>Results</title>
<p>This consensus included nursing assessment, nursing priorities, nursing goals, and thirteen key points of nursing procedures such as nursing of oxygen therapy and respiratory nursing.</p>
</sec>
<sec>
<title>Conclusion</title>
<p>This scientific and practical consensus guideline can provide clinical guidance on the holistic nursing care of patients with severe COVID-19.</p>
</sec>
</abstract>
<kwd-group id="kwrds0010">
<title>Keywords</title>
<kwd>COVID-19</kwd>
<kwd>Expert consensus</kwd>
<kwd>Holistic nursing</kwd>
<kwd>Intensive care</kwd>
</kwd-group>
</article-meta>
</front>
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<li>République populaire de Chine</li>
</country>
<settlement>
<li>Pékin</li>
</settlement>
</list>
<tree>
<country name="République populaire de Chine">
<noRegion>
<name sortKey="Wang, Hui" sort="Wang, Hui" uniqKey="Wang H" first="Hui" last="Wang">Hui Wang</name>
</noRegion>
<name sortKey="Sun, Hong" sort="Sun, Hong" uniqKey="Sun H" first="Hong" last="Sun">Hong Sun</name>
<name sortKey="Wu, Xinjuan" sort="Wu, Xinjuan" uniqKey="Wu X" first="Xinjuan" last="Wu">Xinjuan Wu</name>
<name sortKey="Zeng, Tieying" sort="Zeng, Tieying" uniqKey="Zeng T" first="Tieying" last="Zeng">Tieying Zeng</name>
</country>
</tree>
</affiliations>
</record>

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