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    AboutPolicies Privacy NoticeBlack Country Healthcare NHS Foundation TrustCoventry and Warwickshire Partnership NHS TrustDudley Group NHS Foundation TrustGeorge Eliot Hospital NHS TrustSandwell and West Birmingham NHS TrustSouth Warwickshire University NHS Foundation TrustUniversity Hospitals Birmingham NHS Foundation TrustUniversity Hospitals Coventry and Warwickshire NHS TrustWalsall Healthcare NHS Trust

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    Development of a nationally agreed core clinical dataset for childhood onset uveitis.

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    Author
    Solebo, Ameenat Lola
    Kellett, Salomey
    Rahi, Jugnoo
    Pattani, Reshma
    Edelsten, Clive
    Dick, Andrew D
    Denniston, Alastair
    Publication date
    2022-06-21
    Subject
    Paediatrics
    
    Metadata
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    Abstract
    Background: Childhood onset uveitis comprises a group of rare inflammatory disorders characterized by clinical heterogeneity, chronicity, and uncertainties around long term outcomes. Standardized, detailed datasets with harmonized clinical definitions and terminology are needed to enable the clinical research necessary to stratify disease phenotype and interrogate the putative determinants of health outcomes. We aimed to develop a core routine clinical collection dataset for clinicians managing children with uveitis, suitable for multicenter and national clinical and experimental research initiatives. Methods: Development of the dataset was undertaken in three phases: phase 1, a rapid review of published datasets used in clinical research studies; phase 2, a scoping review of disease or drug registries, national cohort studies and core outcome sets; and phase 3, a survey of members of a multicenter clinical network of specialists. Phases 1 and 2 provided candidates for a long list of variables for the dataset. In Phase 3, members of the UK's national network of stakeholder clinicians who manage childhood uveitis (the Pediatric Ocular Inflammation Group) were invited to select from this long-list their essential items for the core clinical dataset, to identify any omissions, and to support or revise the clinical definitions. Variables which met a threshold of at least 95% agreement were selected for inclusion in the core clinical dataset. Results: The reviews identified 42 relevant studies, and 9 disease or drug registries. In total, 138 discrete items were identified as candidates for the long-list. Of the 41 specialists invited to take part in the survey, 31 responded (response rate 78%). The survey resulted in inclusion of 89 data items within the final core dataset: 81 items to be collected at the first visit, and 64 items at follow up visits. Discussion: We report development of a novel consensus core clinical dataset for the routine collection of clinical data for children diagnosed with non-infectious uveitis. The development of the dataset will provide a standardized approach to data capture able to support observational clinical studies embedded within routine clinical care and electronic patient record capture. It will be validated through a national prospective cohort study, the Uveitis in childhood prospective national cohort study (UNICORNS).
    Citation
    Solebo AL, Kellett S, Rahi J, Pattani R, Edelsten C, Dick AD, Denniston A; Pediatric Ocular Inflammation UNICORN Study Group. Development of a Nationally Agreed Core Clinical Dataset for Childhood Onset Uveitis. Front Pediatr. 2022 Jun 21;10:881398. doi: 10.3389/fped.2022.881398
    Type
    Article
    Handle
    http://hdl.handle.net/20.500.14200/4270
    Additional Links
    http://www.frontiersin.org/Pediatrics/about
    DOI
    10.3389/fped.2022.881398
    PMID
    35799695
    Journal
    Frontiers in Pediatrics
    Publisher
    Frontiers Media
    ae974a485f413a2113503eed53cd6c53
    10.3389/fped.2022.881398
    Scopus Count
    Collections
    Ophthalmology

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