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dc.contributor.authorJani, Aen_US
dc.contributor.authorLiyanage, Hen_US
dc.contributor.authorHoang, Uen_US
dc.contributor.authorMoore, Len_US
dc.contributor.authorFerreira, Fen_US
dc.contributor.authorYonova, Ien_US
dc.contributor.authorTzortziou Brown, Ven_US
dc.contributor.authorde Lusignan, Sen_US
dc.date.accessioned2020-09-29T11:11:02Z
dc.date.available2020-07-27en_US
dc.date.issued2020-09-18en_US
dc.identifier.urihttps://qmro.qmul.ac.uk/xmlui/handle/123456789/67267
dc.description.abstractINTRODUCTION: Social prescribing aims to address social determinants of health, which account for 80%-90% of health outcomes, but the evidence base behind it is limited due to a lack of data linkingsocial prescribing activity and outcomes. METHODS AND ANALYSIS: The objective of the quantitative component of this feasibility studyisto identify the characteristics of individuals who receive social prescriptions and describe the use and estimate the impact of social prescribing; the latter will be done on a homeless subgroup. We will use the Oxford Royal College of General Practitioners (RCGP) Research and Surveillance Centre (RSC) primary care sentinel network, whose general practicescover a population of over 4 000 000 patients. Social prescribing data will be extracted onall recorded patients for 5 years up to 31 January 2020. The objective for the qualitative component of the study isto explore approaches to understand the contextual factors that will have influenced our quantitative findings to identify mechanisms to encourage adoption of social prescribing in primary care while improving data quality. Itwill comprise up to three 90-120 minute advisory group meetings for six to eight participants. Participants will be recruited based on their experience of delivering primary care within Oxfordshire and Surrey. The advisory group outputs will be analysed using framework analysis and will be used to create a survey instrument consisting of statements that surveyees, who will consist of primary care practitioners within the RCGP RSC, can agree or disagree with. ETHICS AND DISSEMINATION: All RCGP RSC data are pseudonymised at the point of data extraction. No personally identifiable data are required for this investigation. This protocol follows the Good Reporting of a Mixed Methods Study checklist. The study results will be published in a peer-reviewed journal and the dataset will be available to other researchers.en_US
dc.format.extente037681 - ?en_US
dc.languageengen_US
dc.relation.ispartofBMJ Openen_US
dc.rightsCreative Commons Attribution Non Commercial (CC BY-NC 4.0)
dc.subjecthealth informaticsen_US
dc.subjectprimary careen_US
dc.subjectsocial determinants of healthen_US
dc.subjectsocial prescribingen_US
dc.titleUse and impact of social prescribing: a mixed-methods feasibility study protocol.en_US
dc.typeArticle
dc.identifier.doi10.1136/bmjopen-2020-037681en_US
pubs.author-urlhttps://www.ncbi.nlm.nih.gov/pubmed/32948564en_US
pubs.issue9en_US
pubs.notesNot knownen_US
pubs.publication-statusPublished onlineen_US
pubs.volume10en_US
rioxxterms.funderDefault funderen_US
rioxxterms.identifier.projectDefault projecten_US


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