<codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Replication Data for: Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey</titl><IDNo agency="DOI">doi:10.7910/DVN/ENJPS2</IDNo></titlStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><distDate>2023-11-28</distDate></distStmt><verStmt source="archive"><version date="2023-12-01" type="RELEASED">3</version></verStmt><biblCit>Watkinson, Ruth; Linfield, Aimee; Tielemans, Jack; Francetic, Igor; Munford, Luke, 2023, "Replication Data for: Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey", https://doi.org/10.7910/DVN/ENJPS2, Harvard Dataverse, V3</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Replication Data for: Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey</titl><altTitl>Gender-related self-reported mental health inequalities in primary care in England</altTitl><IDNo agency="DOI">doi:10.7910/DVN/ENJPS2</IDNo></titlStmt><rspStmt><AuthEnty affiliation="University of Manchester">Watkinson, Ruth</AuthEnty><AuthEnty affiliation="University of Manchester">Linfield, Aimee</AuthEnty><AuthEnty affiliation="University of Manchester">Tielemans, Jack</AuthEnty><AuthEnty affiliation="University of Manchester">Francetic, Igor</AuthEnty><AuthEnty affiliation="University of Manchester">Munford, Luke</AuthEnty></rspStmt><prodStmt><prodPlac>Manchester, England</prodPlac><software version="17">Stata</software><grantNo agency="National Institute for Health Research Applied Research Collaboration Greater Manchester">NIHR200174</grantNo></prodStmt><distStmt><distrbtr source="archive">Harvard Dataverse</distrbtr><contact affiliation="University of Manchester" email="igor.francetic@manchester.ac.uk">Francetic, Igor</contact><depositr>Francetic, Igor</depositr><depDate>2023-11-15</depDate></distStmt><holdings URI="https://doi.org/10.7910/DVN/ENJPS2"/></citation><stdyInfo><subject><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword xml:lang="en">Social Sciences</keyword><keyword>mental health</keyword></subject><abstract>The Stata code replicates the results, figures, and tables of the paper titled "Gender-related self-reported mental health inequalities in primary care in England: Cross-sectional analysis using the GP Patient Survey". 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.</abstract><sumDscr><timePrd cycle="P1" event="start" date="2021-01-01">2021-01-01</timePrd><timePrd cycle="P1" event="end" date="2022-12-31">2022-12-31</timePrd><collDate cycle="P1" event="start" date="2021-01-01">2021-01-01</collDate><collDate cycle="P1" event="end" date="2022-12-31">2022-12-31</collDate><dataKind>Stata code</dataKind></sumDscr><notes>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.</notes></stdyInfo><method><dataColl><sources><srcDocu>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.</srcDocu></sources></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/><notes type="DVN:TOU" level="dv">&lt;a href="http://creativecommons.org/publicdomain/zero/1.0">CC0 1.0&lt;/a></notes></dataAccs><othrStdyMat><relStdy>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.</relStdy></othrStdyMat></stdyDscr><otherMat ID="f7612843" URI="https://dataverse.harvard.edu/api/access/datafile/7612843" level="datafile"><labl>20231116_revision2_analysis.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f7597724" URI="https://dataverse.harvard.edu/api/access/datafile/7597724" level="datafile"><labl>20231116_revision2_descriptives.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f7597722" URI="https://dataverse.harvard.edu/api/access/datafile/7597722" level="datafile"><labl>20231116_revision2_preparation.do</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/x-stata-syntax</notes></otherMat><otherMat ID="f7612842" URI="https://dataverse.harvard.edu/api/access/datafile/7612842" level="datafile"><labl>legendonly.grec</labl><txt>Extrapolates just the legend for Figures 2 and 3 in the paper.</txt><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">application/octet-stream</notes></otherMat><otherMat ID="f7577989" URI="https://dataverse.harvard.edu/api/access/datafile/7577989" level="datafile"><labl>README.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7577990" URI="https://dataverse.harvard.edu/api/access/datafile/7577990" level="datafile"><labl>README.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat><otherMat ID="f7577988" URI="https://dataverse.harvard.edu/api/access/datafile/7577988" level="datafile"><labl>README.txt</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">text/plain</notes></otherMat></codeBook>