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dc.contributor.authorBall, William P
dc.contributor.authorBlack, Corri
dc.contributor.authorGordon, Sharon
dc.contributor.authorOstrovska, Bārbala
dc.contributor.authorParanjothy, Shantini
dc.contributor.authorRasalam, Adelene
dc.contributor.authorRitchie, David
dc.contributor.authorRowlands, Helen
dc.contributor.authorRzewuska, Magdalena
dc.contributor.authorThompson, Elaine
dc.contributor.authorWilde, Katie
dc.contributor.authorButler, Jessica E
dc.date.accessioned2023-01-16T15:52:01Z
dc.date.available2023-01-16T15:52:01Z
dc.date.issued2023-01-11
dc.identifier.citationBall , W P , Black , C , Gordon , S , Ostrovska , B , Paranjothy , S , Rasalam , A , Ritchie , D , Rowlands , H , Rzewuska , M , Thompson , E , Wilde , K & Butler , J E 2023 , ' Inequalities in children's mental health care : analysis of routinely collected data on prescribing and referrals to secondary care ' , BMC Psychiatry , vol. 23 , no. 1 , 22 . https://doi.org/10.1186/s12888-022-04438-5en
dc.identifier.issn1471-244X
dc.identifier.otherPURE: 223005439
dc.identifier.otherPURE UUID: 3d62c060-804b-4bbc-a3ef-8bc86953f21a
dc.identifier.otherPubMed: 36627578
dc.identifier.otherPubMed: 36627578
dc.identifier.otherORCID: /0000-0002-0528-3121/work/126803448
dc.identifier.otherORCID: /0000-0003-4642-1196/work/126804293
dc.identifier.otherScopus: 85146100042
dc.identifier.urihttps://hdl.handle.net/2164/19841
dc.descriptionFunding Information: This work was supported by the Health Foundation Networked Data Lab Programme. Funding Information: We thank The Health Foundation for providing financial support to allow this analysis to be conducted and for facilitating the Networked Data Lab partnerships which have informed this work. The Health Foundation is an independent charity committed to bringing about better health and healthcare for people in the UK. We thank the NHS Grampian Health Intelligence team for facilitating use of this data. We also thank the Grampian Data Safe Haven (DaSH) for processing the data used in this study, as well as providing the secure platform used in this analysis and administrative support. We are grateful to members of the public who have made invaluable contributions to this work. This work uses data provided by patients and collected by the NHS as part of their care and support. We thank the anonymous reviewers for their careful reading of this manuscript and for their constructive comments. There is widespread agreement that public participation is necessary for health data-intensive projects [44]. We formed, trained, and involved a PPIE group of nine persons interested in health data usage for public benefit through a series of interactions throughout the research cycle including narrowing the focus of the research topic, developing analytical plans, sense-checking interpretations and improving the readability and accessibility of the results. We also held group meetings with nine carers/parents and community workers who work with families and children. They reviewed near-final findings, remarked on usefulness and relevance, and suggested areas for further investigation. A comprehensive report of this effort utilising the GRIPP-2 reporting checklist for public involvement [45] is available in the supplementary materials (Table S1). Funding Information: We thank The Health Foundation for providing financial support to allow this analysis to be conducted and for facilitating the Networked Data Lab partnerships which have informed this work. The Health Foundation is an independent charity committed to bringing about better health and healthcare for people in the UK. We thank the NHS Grampian Health Intelligence team for facilitating use of this data. We also thank the Grampian Data Safe Haven (DaSH) for processing the data used in this study, as well as providing the secure platform used in this analysis and administrative support. We are grateful to members of the public who have made invaluable contributions to this work. This work uses data provided by patients and collected by the NHS as part of their care and support. We thank the anonymous reviewers for their careful reading of this manuscript and for their constructive comments. Publisher Copyright: © 2022, The Author(s).en
dc.format.extent18
dc.language.isoeng
dc.relation.ispartofBMC Psychiatryen
dc.rightsOpen Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.en
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectChild & adolescent mental healthen
dc.subjectMental health prescribingen
dc.subjectCAMHSen
dc.subjectHealth inequalitiesen
dc.subjectR Medicine (General)en
dc.subject.lccR1en
dc.titleInequalities in children's mental health care : analysis of routinely collected data on prescribing and referrals to secondary careen
dc.typeJournal articleen
dc.contributor.institutionUniversity of Aberdeen.Other Applied Health Sciencesen
dc.contributor.institutionUniversity of Aberdeen.Centre for Health Data Scienceen
dc.contributor.institutionUniversity of Aberdeen.Grampian Data Safe Haven (DaSH)en
dc.contributor.institutionUniversity of Aberdeen.Chronic Disease Research Groupen
dc.contributor.institutionUniversity of Aberdeen.Farr Aberdeenen
dc.contributor.institutionUniversity of Aberdeen.IT Centralen
dc.contributor.institutionUniversity of Aberdeen.Health Services Research Uniten
dc.contributor.institutionUniversity of Aberdeen.Relationship Managementen
dc.contributor.institutionUniversity of Aberdeen.Aberdeen Centre for Health Data Scienceen
dc.description.statusPeer revieweden
dc.description.versionPublisher PDFen
dc.identifier.doihttps://doi.org/10.1186/s12888-022-04438-5
dc.identifier.vol23en
dc.identifier.iss1en


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