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  <identifier identifierType="DOI">10.7910/DVN/ENJPS2</identifier>
  <creators>
    <creator>
      <creatorName nameType="Personal">Watkinson, Ruth</creatorName>
      <givenName>Ruth</givenName>
      <familyName>Watkinson</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0001-6218-6785</nameIdentifier>
      <affiliation>University of Manchester</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Linfield, Aimee</creatorName>
      <givenName>Aimee</givenName>
      <familyName>Linfield</familyName>
    </creator>
    <creator>
      <creatorName nameType="Personal">Tielemans, Jack</creatorName>
      <givenName>Jack</givenName>
      <familyName>Tielemans</familyName>
    </creator>
    <creator>
      <creatorName nameType="Personal">Francetic, Igor</creatorName>
      <givenName>Igor</givenName>
      <familyName>Francetic</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0002-2481-3749</nameIdentifier>
      <affiliation>University of Manchester</affiliation>
    </creator>
    <creator>
      <creatorName nameType="Personal">Munford, Luke</creatorName>
      <givenName>Luke</givenName>
      <familyName>Munford</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="https://orcid.org">https://orcid.org/0000-0003-4540-6744</nameIdentifier>
      <affiliation>University of Manchester</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Replication Data for: Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey</title>
    <title titleType="AlternativeTitle">Gender-related self-reported mental health inequalities in primary care in England</title>
  </titles>
  <publisher>Harvard Dataverse</publisher>
  <publicationYear>2023</publicationYear>
  <subjects>
    <subject>Medicine, Health and Life Sciences</subject>
    <subject>Social Sciences</subject>
    <subject>mental health</subject>
  </subjects>
  <contributors>
    <contributor contributorType="ContactPerson">
      <contributorName nameType="Personal">Francetic, Igor</contributorName>
      <givenName>Igor</givenName>
      <familyName>Francetic</familyName>
      <affiliation>University of Manchester</affiliation>
    </contributor>
  </contributors>
  <dates>
    <date dateType="Submitted">2023-11-15</date>
    <date dateType="Available">2023-11-28</date>
    <date dateType="Updated">2023-12-01</date>
    <date dateType="Collected">2021-01-01/2022-12-31</date>
    <date dateType="Other" dateInformation="Time period covered by the data">2021-01-01/2022-12-31</date>
  </dates>
  <resourceType resourceTypeGeneral="Dataset">Stata code</resourceType>
  <sizes>
    <size>30</size>
    <size>37</size>
    <size>34</size>
    <size>14982</size>
    <size>13280</size>
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  <formats>
    <format>text/plain</format>
    <format>text/plain</format>
    <format>text/plain</format>
    <format>application/x-stata-syntax</format>
    <format>application/x-stata-syntax</format>
    <format>application/x-stata-syntax</format>
    <format>application/x-stata-syntax</format>
    <format>application/octet-stream</format>
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  <version>3.0</version>
  <rightsList>
    <rights rightsURI="info:eu-repo/semantics/openAccess"/>
    <rights rightsURI="http://creativecommons.org/publicdomain/zero/1.0" rightsIdentifier="CC0-1.0" rightsIdentifierScheme="SPDX" schemeURI="https://spdx.org/licenses/" xml:lang="en">Creative Commons CC0 1.0 Universal Public Domain Dedication.</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">The Stata code replicates the results, figures, and tables of the paper titled &amp;quot;Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey&amp;quot;. The data uses restricted-access data from the GP Patient Survey for England. Further information about the GPPS and dataset is available at https://gp-patient.co.uk or by contacting gppatientsurvey@ipsos.com. Information relating to the questionnaires is available at https://gp-patient.co.uk/downloads/2023/qandletter/GPPS_2023_Questionnaire_PUBLIC.pdf.</description>
    <description descriptionType="TechnicalInfo">Stata, 17</description>
    <description descriptionType="Methods">Individual-level data from GPPS were obtained from Ipsos MORI via an NHS England sharing agreement with our team at the University of Manchester (Reference 199). Further information about the GPPS and dataset is available at https://gp-patient.co.uk or by contacting gppatientsurvey@ipsos.com. The authors of this study cannot share individual-level data as it is the property of NHS England, and managed by Ipsos MORI. Information relating to the questionnaires is available at https://gp-patient.co.uk/downloads/2023/qandletter/GPPS_2023_Questionnaire_PUBLIC.pdf.</description>
    <description descriptionType="Other">The code uses individual-level data from GPPS, which were obtained from Ipsos MORI via an NHS England sharing agreement with our team at the University of Manchester (Reference 199). Further information about the GPPS and dataset is available at https://gp-patient.co.uk or by contacting gppatientsurvey@ipsos.com. The authors of this study cannot share individual-level data as it is the property of NHS England, and managed by Ipsos MORI. Information relating to the questionnaires is available at https://gp-patient.co.uk/downloads/2023/qandletter/GPPS_2023_Questionnaire_PUBLIC.pdf. Researchers can obtain cross-sectional data from 2007 through to 2023 for all available patients by submitting a request to NHS England.</description>
  </descriptions>
  <geoLocations>
    <geoLocation>
      <geoLocationPlace>Manchester, England</geoLocationPlace>
    </geoLocation>
  </geoLocations>
  <fundingReferences>
    <fundingReference>
      <funderName>National Institute for Health Research Applied Research Collaboration Greater Manchester</funderName>
      <awardNumber>NIHR200174</awardNumber>
    </fundingReference>
  </fundingReferences>
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