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dc.contributor.authorMills, Sarah
dc.contributor.authorBrown-Kerr, Alana
dc.contributor.authorBuchanan, Deans
dc.contributor.authorDonnan, Peter T.
dc.contributor.authorSmith, Blair H.
dc.date.accessioned2023-01-25T10:30:06Z
dc.date.available2023-01-25T10:30:06Z
dc.date.issued2023-02-01
dc.identifier282169670
dc.identifier24327ab1-184f-4438-bbf1-941017ad6a2d
dc.identifier000925645200001
dc.identifier85146964362
dc.identifier.citationMills , S , Brown-Kerr , A , Buchanan , D , Donnan , P T & Smith , B H 2023 , ' Free-text analysis of general practice out-of-hours (GPOOH) use by people with advanced cancer : an analysis of coded and uncoded free-text data ' , British Journal of General Practice , vol. 73 , no. 727 , pp. 124-132 . https://doi.org/10.3399/BJGP.2022.0084en
dc.identifier.issn0960-1643
dc.identifier.urihttps://hdl.handle.net/10023/26827
dc.descriptionFunding: SM’s position was funded through the Chief Scientist Office (CAF_17_06) through a Clinical Academic Fellowship. PATCH Scotland and Tayside Oncology Research Foundation Research Grants provided funding for data collection and storage.en
dc.description.abstractBackground People with advanced cancer frequently use the GP out-of-hours (GPOOH) service. Considerable amounts of routine GPOOH data are uncoded. Therefore, these data are omitted from existing healthcare datasets. Aim  To conduct a free-text analysis of a GPOOH dataset, to identify reasons for attendance and care delivered through GPOOH to people with advanced cancer. Design and setting  An analysis of a GPOOH healthcare dataset was undertaken. It contained all coded and free- text information for 5749 attendances from a cohort of 2443 people who died from cancer in Tayside, Scotland, from 2013–2015. Method  Random sampling methods selected 575 consultations for free-text analysis. Each consultation was analysed by two independent reviewers to determine the following: assigned presenting complaints; key and additional palliative care symptoms recorded in free text; evidence of anticipatory care planning; and free-text recording of dispensed medications. Inter-rater reliability concordance was established through Kappa testing. Results  More than half of all coded reasons for attendance (n = 293; 51.0%) were ‘other’ or ‘missing’. Free-text analysis demonstrated that nearly half (n = 284; 49.4%) of GPOOH attendances by people with advanced cancer were for pain or palliative care. More than half of GPOOH attendances (n = 325; 56.5%) recorded at least one key or additional palliative care symptom in free text, with the commonest being breathlessness, vomiting, cough, and nausea. Anticipatory care planning was poorly recorded in both coded and uncoded records. Uncoded medications were dispensed in more than one- quarter of GPOOH consultations. Conclusion  GPOOH delivers a substantial amount of pain management and palliative care, much of which is uncoded. Therefore, it is unrecognised and under-reported in existing large healthcare data analyses.
dc.format.extent9
dc.format.extent147858
dc.language.isoeng
dc.relation.ispartofBritish Journal of General Practiceen
dc.subjectGeneral practiceen
dc.subjectAfter-hours careen
dc.subjectCanceren
dc.subjectCareen
dc.subjectPalliativeen
dc.subjectTerminal careen
dc.subjectPainen
dc.subjectRC0254 Neoplasms. Tumors. Oncology (including Cancer)en
dc.subjectRM Therapeutics. Pharmacologyen
dc.subject3rd-DASen
dc.subjectSDG 3 - Good Health and Well-beingen
dc.subjectMCCen
dc.subject.lccRC0254en
dc.subject.lccRMen
dc.titleFree-text analysis of general practice out-of-hours (GPOOH) use by people with advanced cancer : an analysis of coded and uncoded free-text dataen
dc.typeJournal articleen
dc.contributor.institutionUniversity of St Andrews. Population and Behavioural Science Divisionen
dc.contributor.institutionUniversity of St Andrews. School of Medicineen
dc.identifier.doi10.3399/BJGP.2022.0084
dc.description.statusPeer revieweden


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