CAPTURE-JIA: a consensus-derived core dataset to improve clinical care for children and young people with Juvenile Idiopathic Arthritis (JIA)

Research output: Contribution to journalArticle

  • External authors:
  • Flora Mcerlane
  • Joanna Cobb
  • Kathryn Bailey
  • Gavin Cleary
  • Sharon Douglas
  • Nicola Smith
  • Helen Foster
  • Wendy Thomson

Abstract

Objectives: Data collected during routine clinic visits are key to driving successful quality improvement in clinical services and enabling integration of research into routine care. The purpose of this study was to develop a standardised core dataset for JIA (termed CAPTURE-JIA), enabling routine clinical collection of research-quality patient data useful to all relevant stakeholder groups (clinicians, service-providers, researchers, health service planners and patients/families) and including outcomes of relevance to patients/families.
Methods: Collaborative consensus based approaches (including Delphi and World Café methodologies) were employed. The study was divided into discrete phases, including collaborative working with other groups developing relevant core datasets and a two-stage Delphi process, with the aim of rationalising the initially long data item list to a clinically feasible size.
Results: The initial stage of the process identified collection of 297 discrete data items by one or more of fifteen NHS Paediatric Rheumatology centres. Following the two-stage Delphi process, culminating in a consensus workshop (May 2015), the final approved CAPTURE-JIA dataset consists of 62 discrete and defined clinical data items including novel JIA-specific patient-reported outcome and experience measures.
Conclusions: CAPTURE-JIA is the first ‘JIA core dataset’ to include data items considered essential by key stakeholder groups engaged with leading and improving the clinical care of CYP with JIA. Collecting essential patient information in a standard way is a major step towards improving the quality and consistency of clinical services, facilitating collaborative and effective working, benchmarking clinical services against quality indicators and aligning treatment strategies and clinical research opportunities.

Bibliographical metadata

Original languageEnglish
JournalRheumatology (Oxford)
DOIs
Publication statusPublished - 26 Jun 2019

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