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<docDscr>
  <citation>
    <titlStmt>
      <titl>Prevalence and Development of Post-traumatic Stress Disorder and Anxiety and Depressive Symptoms Among AP-HP Staff During the Covid-19 Epidemic</titl>
      <IDNo>FRESH-PEF73903-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="ASSISTANCE PUBLIQUE HOPITAUX DE PARIS (AP-HP)" role="">PIERRE-ANDRE NATELLA</producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Prevalence and Development of Post-traumatic Stress Disorder and Anxiety and Depressive Symptoms Among AP-HP Staff During the Covid-19 Epidemic            </titl>
      <altTitl>
                    COVID-IMPACT                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF73903-en            </IDNo>
      <IDNo agency="PEF">
                    73903                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF73903                </IDNo>
      <IDNo agency="NCT">
                    NCT04558437                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Antoine PELISSOLO                                                                                                                            </AuthEnty>
      <AuthEnty affiliation="ASSISTANCE PUBLIQUE HOPITAUX DE PARIS (AP-HP)">
        <ExtLink title="ROR" URI="https://ror.org/00pg5jh14" role="organisation id"/>
        <ExtLink title="SIREN" URI="267500452" role="organisation id"/>
      </AuthEnty>
      <othId affiliation="" type="">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            ASSISTANCE PUBLIQUE HOPITAUX DE PARIS (AP-HP)                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="ASSISTANCE PUBLIQUE HOPITAUX DE PARIS (AP-HP)" email="antoine.pelissolo@aphp.fr">
                    Antoine;PELISSOLO
                                            <ExtLink title="ROR" URI="https://ror.org/00pg5jh14" role="organisation id"/>
                                            <ExtLink title="SIREN" URI="267500452" role="organisation id"/>
                                    </contact>
      <depDate date="2026-06-17"/>
      <distDate date="2026-06-17"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <keyword vocab="" vocabURI="">
                    Post Traumatic Stress Disorder (PTSD)</keyword>
      <keyword vocab="" vocabURI="">
                    Anxiety</keyword>
      <keyword vocab="" vocabURI="">
                    Epidemic Disease</keyword>
      <keyword vocab="" vocabURI="">
                    COVID19</keyword>
      <keyword vocab="" vocabURI="">
                    Depression</keyword>
      <topcClas vocab="health theme">
                        Infectious disease medicine                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/fa2ceeab-3b2f-45e9-9243-e5a8005b98de"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D055552"/>
                                                </topcClas>
      <topcClas vocab="health theme">
                        Psychiatry                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/3de50dee-da1c-4791-a386-56bca24a5fed"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D011570"/>
                                                </topcClas>
      <topcClas vocab="health theme">
                        Addiction medicine                                                        <ExtLink title="ESV" URI="http://data.europa.eu/8mn/euroscivoc/42d645e0-f58d-40ed-9917-5b227ff41a92"/>
                                                            <ExtLink title="MeSH" URI="http://id.nlm.nih.gov/mesh/D000073316"/>
                                                </topcClas>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants: Addiction                    </topcClas>
      <topcClas vocab="health determinant">
                        Socio-demographic and economic determinants                    </topcClas>
      <topcClas vocab="health determinant">
                        Behavioral determinants                    </topcClas>
    </subject>
    <abstract contentType="purpose">The epidemic of coronavirus induces a major influx of patients implying a rapid modification of the organizations, a work overload and a significant stress for the care teams and supports of the hospitals of the Assistance Publique - Hôpitaux de Paris (AP-HP) . To this is added the impact on each professional of the large number of very severe patients to be treated, of death and the anxiety of contamination, reinforced by the actual cases of staff themselves sick. Emergency phone numbers for professionals in the event of psychological suffering were quickly put in place at the AP-HP and Hospitals level. The objective of this study is to assess the psychopathological and psycho-traumatic consequences of this exceptional situation on the staff, during the epidemic and at a distance from it, in order to be able to target the solutions to be implemented. Hypothesis is that some personnel may develop one or more of the following disorders: adjustment disorder or other anxiety disorder, acute stress disorder, post-traumatic stress disorder (PTSD), and depressive episodes as defined in the DSM-5. This study also aimes to assess effect of support measures put in place, by comparing the evolution of those who benefited from those who did not use them, as well as the risk factors specific. The results will make it possible to have an estimate of the percentage of people who may require specific support, and to identify the staff most at risk, and thus predict the importance of the circuits and structures for support of staff which will be necessary in the short and long term. The main anticipated risk factors are: being a nurse, having a low number of years of professional experience, and being on the front line of care for affected patients.</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date="2020-01-01"/>
      <collDate event="end" date="2021-01-01"/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">General population                    </universe>
      <universe level="sex" clusion="I">Male                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008297"/>
                                                    </universe>
      <universe level="sex" clusion="I">Female                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D005260"/>
                                                    </universe>
      <universe level="age" clusion="I">Young Adult (19 to 24 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D055815"/>
                                                    </universe>
      <universe level="age" clusion="I">Adult (25 to 44 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000328"/>
                                                    </universe>
      <universe level="age" clusion="I">Middle Aged (45 to 64 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D008875"/>
                                                    </universe>
      <universe level="age" clusion="I">Aged (65 to 79 years)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000368"/>
                                                    </universe>
      <universe clusion="I">Inclusion Criteria:      AP-HP professionals on duty during the COVID epidemic agreeing to participate in the three stages of the study.                      </universe>
      <universe clusion="E">none                     </universe>
      <dataKind>Clinical data</dataKind>
      <dataKind>Participant-reported health data</dataKind>
    </sumDscr>
    <qualityStatement>
      <otherQualityStatement>Designed by CLinical Research Datamanager of Reserch Unit Henri Mondor Hospital</otherQualityStatement>
      <otherQualityStatement>hosted on APHP server</otherQualityStatement>
    </qualityStatement>
  </stdyInfo>
  <method>
    <dataColl>
      <timeMeth>Repeated cross-sectional study</timeMeth>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <sampleFrame>
        <frameUnit>
          <unitType>Administrative database (employees</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>pupils</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>students</unitType>
        </frameUnit>
        <frameUnit>
          <unitType>etc.)</unitType>
        </frameUnit>
      </sampleFrame>
      <targetSampleSize>
        <sampleSizeFormula>[1000-10000[ individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Self-administered questionnaire                                                            <concept vocab="CESSDA" vocabURI="SelfAdministeredQuestionnaire"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            Metadata-only access                                                    </avlStatus>
    </setAvail>
    <useStmt>
      <conditions>DATAS ARE OWN BY ASSISTANCE PUBLIQUE - HOPITAUX DE PARIS, PLEASE CONTACT SPONSOR FOR FURTHER INFORMATION</conditions>
    </useStmt>
  </dataAccs>
  <othrStdyMat>
    <relMat>Access not yet planned</relMat>
  </othrStdyMat>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
