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<docDscr>
  <citation>
    <titlStmt>
      <titl>Survey on pain and discomfort among Covid-19 patients</titl>
      <IDNo>FRESH-PEF73972-en</IDNo>
    </titlStmt>
    <prodStmt>
      <producer abbr="" affiliation="" role=""></producer>
    </prodStmt>
    <verStmt>
      <version></version>
    </verStmt>
  </citation>
</docDscr>
<stdyDscr>
  <citation>
    <titlStmt>
      <titl>
                Survey on pain and discomfort among Covid-19 patients            </titl>
      <altTitl>
                    AlgoCovid                </altTitl>
      <IDNo agency="FReSH-lang">
                FRESH-PEF73972-en            </IDNo>
      <IDNo agency="PEF">
                    73972                </IDNo>
      <IDNo agency="FReSH">
                    FRESH-PEF73972                </IDNo>
    </titlStmt>
    <rspStmt>
      <AuthEnty>
                    Benoît LAFON                                                                                </AuthEnty>
      <AuthEnty affiliation="">
                                    </AuthEnty>
      <othId affiliation="" type="">
                                    </othId>
    </rspStmt>
    <prodStmt>
      <producer role="sponsor">
                                            LA DOULEUR ET LE PATIENT DOULOUREUX                    
                                    </producer>
      <prodPlac>
                Epidemiology France Portal (PEF)            </prodPlac>
    </prodStmt>
    <distStmt>
      <distrbtr abbr="null">
                    null</distrbtr>
      <contact affiliation="" email="lafonb@ch-blois.fr">
                    Benoît;LAFON
                                    </contact>
      <depDate date="2026-06-16"/>
      <distDate date="2026-06-16"/>
    </distStmt>
    <biblCit format="">
            </biblCit>
    <holdings URI="null"/>
    <notes> </notes>
  </citation>
  <stdyInfo>
    <studyBudget/>
    <subject>
      <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="cim-11">
                        Pain                                            </topcClas>
      <topcClas vocab="cim-11">
                        COVID-19                                            </topcClas>
    </subject>
    <abstract contentType="purpose">This Survey on pain and discomfort among Covid-19 patients aims to develop our knowledge on acute pain in the course of the Covid-19 disease, together with pain and discomfort persisting after the acute phase of the disease Secondary objectives:  Determine the location and type of pain, together with pain intensity, number of different painful syndromes during and after the acute phase of the disease.  Determine the specific prevalence of each painful syndrome identified, notably the prevalence of neuropathic pain.  Determine the components causing residual discomfort.  The endpoints, for each parameter measured, are the rate of positive answers in the corresponding existing sections (specific columns in the data collection table) or the rate of positive answers in the sections created during the analysis (calculation columns added, to meet objectives combining several existing sections).</abstract>
    <abstract contentType="abstract">null</abstract>
    <sumDscr>
      <collDate event="start" date=""/>
      <collDate event="end" date=""/>
      <nation abbr="fr">
                    France
                                            <concept vocab="ISO" vocabURI="fr"/>
                                    </nation>
      <geogUnit/>
      <anlyUnit>
                Individuals            </anlyUnit>
      <universe level="type" clusion="I">Patients 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 level="age" clusion="I">Aged, 80 and over (80 years and more)                                                            <concept vocab="MeSH" vocabURI="http://id.nlm.nih.gov/mesh/D000369"/>
                                                    </universe>
      <universe clusion="I">Eligibility criteria:  Male or female adult subject (18 years or over)  AppliSamu record stating code VIN02, VIN03 or VIN06 between 01/03 and 31/05/2020  Inclusion criteria:  Answering the telephone call (three attempts maximum)  Patient’s verbal agreement to a telephone interview   Covid-19 disease confirmed by one of the following conditions: -  AppliSamu code VIN06 (= confirmed Covid-19) -  Code VIN02 or VIN03 (= suspected Covid-19) and patient confirming their positive diagnosis (by PCR, CT scan or appointment with an infectious diseases specialist)                     </universe>
      <dataKind>Participant-reported health data</dataKind>
    </sumDscr>
  </stdyInfo>
  <method>
    <dataColl>
      <sampProc>Other                                                            <concept vocab="CESSDA" vocabURI="Other"/>
                                                    </sampProc>
      <targetSampleSize>
        <sampleSizeFormula>[1000-10000[ individuals                        </sampleSizeFormula>
      </targetSampleSize>
      <collMode>Converting or copying information into a structured record                                                            <concept vocab="CESSDA" vocabURI="Transcription"/>
                                                    </collMode>
      <collMode>Interview with the participant (including clinical)                                                            <concept vocab="CESSDA" vocabURI="Interview"/>
                                                    </collMode>
    </dataColl>
    <notes>Observational Study</notes>
    <notes subject="research type">
                        Observational Study                    </notes>
    <anlyInfo>
      <respRate>1000</respRate>
    </anlyInfo>
    <stdyClas>Unknown</stdyClas>
  </method>
  <dataAccs>
    <setAvail>
      <avlStatus>
                            To be defined                                                    </avlStatus>
    </setAvail>
  </dataAccs>
</stdyDscr>
<dataDscr>
</dataDscr></codeBook>
