AutomedicationFrancoV1, Main, Exploration, bibRecord, 000054

[High fidelity simulation training for medical oncology announcement consultation].

Identifieur interne : 000054 ( Main/Exploration ); précédent : 000053; suivant : 000055

[High fidelity simulation training for medical oncology announcement consultation].

Auteurs : Elise Deluche [France] ; Henri Salle [France] ; Teeva Facchini-Joguet [France] ; Sophie Leobon [France] ; Alexandre Troussel [France] ; Nicole Tubiana-Mathieu [France] ; François Caire [France] ; Laurent Fourcade [France]

Source :

Bulletin du cancer [ 1769-6917 ] ; 2020.

RBID : pubmed:32245605

Descripteurs français

KwdFr :
- Adulte (MeSH), Auto-évaluation (psychologie) (MeSH), Compétence clinique (MeSH), Enquêtes et questionnaires (MeSH), Facteurs temps (MeSH), Femelle (MeSH), Formation par simulation haute fidélité (méthodes), Formation par simulation haute fidélité (organisation et administration), France (MeSH), Humains (MeSH), Internat et résidence (MeSH), Mâle (MeSH), Oncologie médicale (enseignement et éducation), Psychologie (MeSH), Radio-oncologie (enseignement et éducation), Radiothérapie (MeSH), Révélation de la vérité (MeSH), Simulation sur patients standardisés (MeSH), Soins infirmiers en oncologie (MeSH), Stress psychologique (prévention et contrôle), Stress psychologique (étiologie), Tumeurs (diagnostic), Tumeurs (psychologie).
MESH :
- diagnostic : Tumeurs.
- enseignement et éducation : Oncologie médicale, Radio-oncologie.
- méthodes : Formation par simulation haute fidélité.
- organisation et administration : Formation par simulation haute fidélité.
- prévention et contrôle : Stress psychologique.
- psychologie : Tumeurs.
- étiologie : Stress psychologique.
- Adulte, Auto-évaluation (psychologie), Compétence clinique, Enquêtes et questionnaires, Facteurs temps, Femelle, France, Humains, Internat et résidence, Mâle, Psychologie, Radiothérapie, Révélation de la vérité, Simulation sur patients standardisés, Soins infirmiers en oncologie.
Wicri :
- geographic : France.

English descriptors

KwdEn :
- Adult (MeSH), Clinical Competence (MeSH), Female (MeSH), France (MeSH), High Fidelity Simulation Training (methods), High Fidelity Simulation Training (organization & administration), Humans (MeSH), Internship and Residency (MeSH), Male (MeSH), Medical Oncology (education), Neoplasms (diagnosis), Neoplasms (psychology), Oncology Nursing (MeSH), Patient Simulation (MeSH), Psychology (MeSH), Radiation Oncology (education), Radiotherapy (MeSH), Self-Assessment (MeSH), Stress, Psychological (etiology), Stress, Psychological (prevention & control), Surveys and Questionnaires (MeSH), Time Factors (MeSH), Truth Disclosure (MeSH).
MESH :
- geographic : France.
- diagnosis : Neoplasms.
- education : Medical Oncology, Radiation Oncology.
- etiology : Stress, Psychological.
- methods : High Fidelity Simulation Training.
- organization & administration : High Fidelity Simulation Training.
- prevention & control : Stress, Psychological.
- psychology : Neoplasms.
- Adult, Clinical Competence, Female, Humans, Internship and Residency, Male, Oncology Nursing, Patient Simulation, Psychology, Radiotherapy, Self-Assessment, Surveys and Questionnaires, Time Factors, Truth Disclosure.

Abstract

INTRODUCTION

Medical oncology bad news consultation is a particularly stressful situation for both the patient and the physician. High-fidelity simulation is a learning option that has never been evaluated in France in this field.

MATERIALS AND METHODS

This is a feedback from simulated announcement consultations carried out from January 2018 to May 2019. Residents from the medical oncology and radiotherapy departments performed high-fidelity simulations at the announcement consultation with an announcement nurse, a psychologist, a certified coach and an oncologist. A competency assessment was completed in pre-test, immediate post-test and after 5 months.

RESULTS

Fourteen of the 16 eligible interns participated. The pre-test competency assessment showed that interns over 5 semesters reported being more comfortable at the consultation (P=0.04) and thought they were clearly explaining the disease (P=0.03). However, all residents, regardless of the semester, felt stressed before a consultation. The evolution of parameters skills after the simulation was positive for all criteria, particularly for adaptation to patient reactions, use of appropriate vocabulary and reduction of stress (P<0.05). This evolution was independent of the gender, curriculum, semester, or previous completion of a medical oncology internship. More than 80% of the students were ready to repeat this type of training.

CONCLUSION

This training demonstrates the value of simulation training for medical oncology advertising consultation.

DOI: 10.1016/j.bulcan.2020.02.007
PubMed: 32245605

Affiliations:

Links toward previous steps (curation, corpus...)

to stream Main, to step Corpus: 000193
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Le document en format XML

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<author><name sortKey="Tubiana Mathieu, Nicole" sort="Tubiana Mathieu, Nicole" uniqKey="Tubiana Mathieu N" first="Nicole" last="Tubiana-Mathieu">Nicole Tubiana-Mathieu</name>
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<author><name sortKey="Caire, Francois" sort="Caire, Francois" uniqKey="Caire F" first="François" last="Caire">François Caire</name>
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<term>High Fidelity Simulation Training (organization & administration)</term>
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<term>Formation par simulation haute fidélité (organisation et administration)</term>
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<term>Humains (MeSH)</term>
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<term>Psychologie (MeSH)</term>
<term>Radio-oncologie (enseignement et éducation)</term>
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<term>Révélation de la vérité (MeSH)</term>
<term>Simulation sur patients standardisés (MeSH)</term>
<term>Soins infirmiers en oncologie (MeSH)</term>
<term>Stress psychologique (prévention et contrôle)</term>
<term>Stress psychologique (étiologie)</term>
<term>Tumeurs (diagnostic)</term>
<term>Tumeurs (psychologie)</term>
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<keywords scheme="MESH" qualifier="diagnostic" xml:lang="fr"><term>Tumeurs</term>
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<keywords scheme="MESH" qualifier="education" xml:lang="en"><term>Medical Oncology</term>
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<keywords scheme="MESH" qualifier="enseignement et éducation" xml:lang="fr"><term>Oncologie médicale</term>
<term>Radio-oncologie</term>
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<keywords scheme="MESH" qualifier="etiology" xml:lang="en"><term>Stress, Psychological</term>
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</keywords>
<keywords scheme="MESH" qualifier="méthodes" xml:lang="fr"><term>Formation par simulation haute fidélité</term>
</keywords>
<keywords scheme="MESH" qualifier="organisation et administration" xml:lang="fr"><term>Formation par simulation haute fidélité</term>
</keywords>
<keywords scheme="MESH" qualifier="organization & administration" xml:lang="en"><term>High Fidelity Simulation Training</term>
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<term>Patient Simulation</term>
<term>Psychology</term>
<term>Radiotherapy</term>
<term>Self-Assessment</term>
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<term>Truth Disclosure</term>
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<keywords scheme="MESH" xml:lang="fr"><term>Adulte</term>
<term>Auto-évaluation (psychologie)</term>
<term>Compétence clinique</term>
<term>Enquêtes et questionnaires</term>
<term>Facteurs temps</term>
<term>Femelle</term>
<term>France</term>
<term>Humains</term>
<term>Internat et résidence</term>
<term>Mâle</term>
<term>Psychologie</term>
<term>Radiothérapie</term>
<term>Révélation de la vérité</term>
<term>Simulation sur patients standardisés</term>
<term>Soins infirmiers en oncologie</term>
</keywords>
<keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>France</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en"><p><b>INTRODUCTION</b>
</p>
<p>Medical oncology bad news consultation is a particularly stressful situation for both the patient and the physician. High-fidelity simulation is a learning option that has never been evaluated in France in this field.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>MATERIALS AND METHODS</b>
</p>
<p>This is a feedback from simulated announcement consultations carried out from January 2018 to May 2019. Residents from the medical oncology and radiotherapy departments performed high-fidelity simulations at the announcement consultation with an announcement nurse, a psychologist, a certified coach and an oncologist. A competency assessment was completed in pre-test, immediate post-test and after 5 months.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>RESULTS</b>
</p>
<p>Fourteen of the 16 eligible interns participated. The pre-test competency assessment showed that interns over 5 semesters reported being more comfortable at the consultation (P=0.04) and thought they were clearly explaining the disease (P=0.03). However, all residents, regardless of the semester, felt stressed before a consultation. The evolution of parameters skills after the simulation was positive for all criteria, particularly for adaptation to patient reactions, use of appropriate vocabulary and reduction of stress (P<0.05). This evolution was independent of the gender, curriculum, semester, or previous completion of a medical oncology internship. More than 80% of the students were ready to repeat this type of training.</p>
</div>
<div type="abstract" xml:lang="en"><p><b>CONCLUSION</b>
</p>
<p>This training demonstrates the value of simulation training for medical oncology advertising consultation.</p>
</div>
</front>
</TEI>
<pubmed><MedlineCitation Status="MEDLINE" Owner="NLM"><PMID Version="1">32245605</PMID>
<DateCompleted><Year>2020</Year>
<Month>05</Month>
<Day>06</Day>
</DateCompleted>
<DateRevised><Year>2020</Year>
<Month>05</Month>
<Day>06</Day>
</DateRevised>
<Article PubModel="Print-Electronic"><Journal><ISSN IssnType="Electronic">1769-6917</ISSN>
<JournalIssue CitedMedium="Internet"><Volume>107</Volume>
<Issue>4</Issue>
<PubDate><Year>2020</Year>
<Month>Apr</Month>
</PubDate>
</JournalIssue>
<Title>Bulletin du cancer</Title>
<ISOAbbreviation>Bull Cancer</ISOAbbreviation>
</Journal>
<ArticleTitle>[High fidelity simulation training for medical oncology announcement consultation].</ArticleTitle>
<Pagination><MedlinePgn>417-427</MedlinePgn>
</Pagination>
<ELocationID EIdType="pii" ValidYN="Y">S0007-4551(20)30143-0</ELocationID>
<ELocationID EIdType="doi" ValidYN="Y">10.1016/j.bulcan.2020.02.007</ELocationID>
<Abstract><AbstractText Label="INTRODUCTION" NlmCategory="BACKGROUND">Medical oncology bad news consultation is a particularly stressful situation for both the patient and the physician. High-fidelity simulation is a learning option that has never been evaluated in France in this field.</AbstractText>
<AbstractText Label="MATERIALS AND METHODS" NlmCategory="METHODS">This is a feedback from simulated announcement consultations carried out from January 2018 to May 2019. Residents from the medical oncology and radiotherapy departments performed high-fidelity simulations at the announcement consultation with an announcement nurse, a psychologist, a certified coach and an oncologist. A competency assessment was completed in pre-test, immediate post-test and after 5 months.</AbstractText>
<AbstractText Label="RESULTS" NlmCategory="RESULTS">Fourteen of the 16 eligible interns participated. The pre-test competency assessment showed that interns over 5 semesters reported being more comfortable at the consultation (P=0.04) and thought they were clearly explaining the disease (P=0.03). However, all residents, regardless of the semester, felt stressed before a consultation. The evolution of parameters skills after the simulation was positive for all criteria, particularly for adaptation to patient reactions, use of appropriate vocabulary and reduction of stress (P<0.05). This evolution was independent of the gender, curriculum, semester, or previous completion of a medical oncology internship. More than 80% of the students were ready to repeat this type of training.</AbstractText>
<AbstractText Label="CONCLUSION" NlmCategory="CONCLUSIONS">This training demonstrates the value of simulation training for medical oncology advertising consultation.</AbstractText>
<CopyrightInformation>Copyright © 2020 Société Française du Cancer. Published by Elsevier Masson SAS. All rights reserved.</CopyrightInformation>
</Abstract>
<AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>Deluche</LastName>
<ForeName>Elise</ForeName>
<Initials>E</Initials>
<AffiliationInfo><Affiliation>Service d'oncologie médicale, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France; Faculté de médecine de Limoges, département universitaire d'enseignement numérique en santé, 2, rue du Docteur-Marcland, 87025 Limoges cedex, France. Electronic address: elise.deluche@chu-limoges.fr.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Salle</LastName>
<ForeName>Henri</ForeName>
<Initials>H</Initials>
<AffiliationInfo><Affiliation>Hôpital Dupuytren, service de neurochirurgie, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France; Faculté de médecine de Limoges, département universitaire d'enseignement numérique en santé, 2, rue du Docteur-Marcland, 87025 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Facchini-Joguet</LastName>
<ForeName>Teeva</ForeName>
<Initials>T</Initials>
<AffiliationInfo><Affiliation>We Care &+Consulting, 6, rue Perrault, 75001 Paris cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Leobon</LastName>
<ForeName>Sophie</ForeName>
<Initials>S</Initials>
<AffiliationInfo><Affiliation>Service d'oncologie médicale, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Troussel</LastName>
<ForeName>Alexandre</ForeName>
<Initials>A</Initials>
<AffiliationInfo><Affiliation>Service d'oncologie médicale, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Tubiana-Mathieu</LastName>
<ForeName>Nicole</ForeName>
<Initials>N</Initials>
<AffiliationInfo><Affiliation>Service d'oncologie médicale, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Caire</LastName>
<ForeName>François</ForeName>
<Initials>F</Initials>
<AffiliationInfo><Affiliation>Hôpital Dupuytren, service de neurochirurgie, 2, avenue Martin-Luther-King, 87042 Limoges cedex, France; Faculté de médecine de Limoges, département universitaire d'enseignement numérique en santé, 2, rue du Docteur-Marcland, 87025 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
<Author ValidYN="Y"><LastName>Fourcade</LastName>
<ForeName>Laurent</ForeName>
<Initials>L</Initials>
<AffiliationInfo><Affiliation>Hôpital des Enfants, service de chirurgie viscérale pédiatrique, 8, avenue Dominique-Larrey, 87042 Limoges cedex, France; Faculté de médecine de Limoges, département universitaire d'enseignement numérique en santé, 2, rue du Docteur-Marcland, 87025 Limoges cedex, France.</Affiliation>
</AffiliationInfo>
</Author>
</AuthorList>
<Language>fre</Language>
<PublicationTypeList><PublicationType UI="D016428">Journal Article</PublicationType>
</PublicationTypeList>
<VernacularTitle>Simulation haute-fidélité à la consultation d’annonce en oncologie médicale.</VernacularTitle>
<ArticleDate DateType="Electronic"><Year>2020</Year>
<Month>03</Month>
<Day>31</Day>
</ArticleDate>
</Article>
<MedlineJournalInfo><Country>France</Country>
<MedlineTA>Bull Cancer</MedlineTA>
<NlmUniqueID>0072416</NlmUniqueID>
<ISSNLinking>0007-4551</ISSNLinking>
</MedlineJournalInfo>
<CitationSubset>IM</CitationSubset>
<MeshHeadingList><MeshHeading><DescriptorName UI="D000328" MajorTopicYN="N">Adult</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D002983" MajorTopicYN="N">Clinical Competence</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005260" MajorTopicYN="N">Female</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D005602" MajorTopicYN="N" Type="Geographic">France</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D000070856" MajorTopicYN="N">High Fidelity Simulation Training</DescriptorName>
<QualifierName UI="Q000379" MajorTopicYN="Y">methods</QualifierName>
<QualifierName UI="Q000458" MajorTopicYN="N">organization & administration</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D006801" MajorTopicYN="N">Humans</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D007396" MajorTopicYN="Y">Internship and Residency</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008297" MajorTopicYN="N">Male</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D008495" MajorTopicYN="N">Medical Oncology</DescriptorName>
<QualifierName UI="Q000193" MajorTopicYN="Y">education</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009369" MajorTopicYN="N">Neoplasms</DescriptorName>
<QualifierName UI="Q000175" MajorTopicYN="Y">diagnosis</QualifierName>
<QualifierName UI="Q000523" MajorTopicYN="N">psychology</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D009859" MajorTopicYN="N">Oncology Nursing</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D016544" MajorTopicYN="Y">Patient Simulation</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011584" MajorTopicYN="N">Psychology</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D018787" MajorTopicYN="N">Radiation Oncology</DescriptorName>
<QualifierName UI="Q000193" MajorTopicYN="N">education</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011878" MajorTopicYN="N">Radiotherapy</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D012647" MajorTopicYN="N">Self-Assessment</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013315" MajorTopicYN="N">Stress, Psychological</DescriptorName>
<QualifierName UI="Q000209" MajorTopicYN="N">etiology</QualifierName>
<QualifierName UI="Q000517" MajorTopicYN="N">prevention & control</QualifierName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D011795" MajorTopicYN="N">Surveys and Questionnaires</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D013997" MajorTopicYN="N">Time Factors</DescriptorName>
</MeshHeading>
<MeshHeading><DescriptorName UI="D014342" MajorTopicYN="Y">Truth Disclosure</DescriptorName>
</MeshHeading>
</MeshHeadingList>
<KeywordList Owner="NOTNLM"><Keyword MajorTopicYN="N">Cancer</Keyword>
<Keyword MajorTopicYN="N">Education</Keyword>
<Keyword MajorTopicYN="N">Formation</Keyword>
<Keyword MajorTopicYN="N">Pédagogie</Keyword>
<Keyword MajorTopicYN="N">Simulation</Keyword>
<Keyword MajorTopicYN="N">Training</Keyword>
</KeywordList>
</MedlineCitation>
<PubmedData><History><PubMedPubDate PubStatus="received"><Year>2019</Year>
<Month>11</Month>
<Day>10</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="revised"><Year>2020</Year>
<Month>01</Month>
<Day>11</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="accepted"><Year>2020</Year>
<Month>02</Month>
<Day>07</Day>
</PubMedPubDate>
<PubMedPubDate PubStatus="pubmed"><Year>2020</Year>
<Month>4</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="medline"><Year>2020</Year>
<Month>5</Month>
<Day>7</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
<PubMedPubDate PubStatus="entrez"><Year>2020</Year>
<Month>4</Month>
<Day>5</Day>
<Hour>6</Hour>
<Minute>0</Minute>
</PubMedPubDate>
</History>
<PublicationStatus>ppublish</PublicationStatus>
<ArticleIdList><ArticleId IdType="pubmed">32245605</ArticleId>
<ArticleId IdType="pii">S0007-4551(20)30143-0</ArticleId>
<ArticleId IdType="doi">10.1016/j.bulcan.2020.02.007</ArticleId>
</ArticleIdList>
</PubmedData>
</pubmed>
<affiliations><list><country><li>France</li>
</country>
<region><li>Limousin</li>
<li>Nouvelle-Aquitaine</li>
<li>Île-de-France</li>
</region>
<settlement><li>Limoges</li>
<li>Paris</li>
</settlement>
</list>
<tree><country name="France"><region name="Nouvelle-Aquitaine"><name sortKey="Deluche, Elise" sort="Deluche, Elise" uniqKey="Deluche E" first="Elise" last="Deluche">Elise Deluche</name>
</region>
<name sortKey="Caire, Francois" sort="Caire, Francois" uniqKey="Caire F" first="François" last="Caire">François Caire</name>
<name sortKey="Facchini Joguet, Teeva" sort="Facchini Joguet, Teeva" uniqKey="Facchini Joguet T" first="Teeva" last="Facchini-Joguet">Teeva Facchini-Joguet</name>
<name sortKey="Fourcade, Laurent" sort="Fourcade, Laurent" uniqKey="Fourcade L" first="Laurent" last="Fourcade">Laurent Fourcade</name>
<name sortKey="Leobon, Sophie" sort="Leobon, Sophie" uniqKey="Leobon S" first="Sophie" last="Leobon">Sophie Leobon</name>
<name sortKey="Salle, Henri" sort="Salle, Henri" uniqKey="Salle H" first="Henri" last="Salle">Henri Salle</name>
<name sortKey="Troussel, Alexandre" sort="Troussel, Alexandre" uniqKey="Troussel A" first="Alexandre" last="Troussel">Alexandre Troussel</name>
<name sortKey="Tubiana Mathieu, Nicole" sort="Tubiana Mathieu, Nicole" uniqKey="Tubiana Mathieu N" first="Nicole" last="Tubiana-Mathieu">Nicole Tubiana-Mathieu</name>
</country>
</tree>
</affiliations>
</record>

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[High fidelity simulation training for medical oncology announcement consultation].

[High fidelity simulation training for medical oncology announcement consultation].

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