P10 CAPTURE JIA: paper data collection feasibility and acceptability pilot
Authors: McErlane Flora , Smith Nicola , Lunt Laura , Smith Andrew , Al-Abadi Eslam , Bailey Kathryn , Compeyrot-Lacassagne Sandrine , McDonagh Janet , Riley Philip , Cleary Gavin , Thomson Wendy 
Published: October 2019

Background

There is a challenging lack of evidence to inform best practice in the routine clinical care of juvenile idiopathic arthritis (JIA). Wide inter-centre variation in the definition and documentation of clinical data items is a major barrier to improvement. In response, we have developed a consensus agreed standardised core dataset called CAPTURE-JIA (n = 62 data items and a ‘data dictionary’ including agreed definitions of terms) designed to support routine collection of high-quality clinical data.

The feasibility and acceptability of CAPTURE-JIA in clinical practice is not yet known and was the focus of this pilot study.

Methods

A purposeful sample of six paediatric rheumatology centres across England was invited to collect the CAPTURE-JIA dataset using paper collection forms (n = 20 patients/centre). The dataset was analysed for missing data. Six focus groups (n = 3-10) explored clinicians’ views on acceptability and feasibility.

Results

One hundred and twenty-one patients were recruited over three months. The completeness of the dataset was similar across centres, with minor variations. The majority of data items (eg demographics, dates, ILAR type and examination) were >80% completed. However, 14/62 data items received >40% missing data. (Table 1) Further descriptive analyses highlighted incorrect completion of paper forms.

Three themes emerged from the focus groups: problematic data items (missing from >10% forms at > 1 centre), format of clinician data forms and the role of digital data collection. Suggested solutions included minor changes to data item definitions and formatting. There were no refinements to the data items. Development of a digital data collection system was identified by all as essential.

Due to a lack of clear consensus, the original CAPTURE forms included a number of ways to record joint count data. This proved confusing and a unanimous decision was taken to collect joint count data on all 83 joints in a tabular format.

P10 Table 1: CAPTURE JIA data items with >40% missing data Data item % forms with data item missing (if item required) Relevant co-morbidities? 60 Macrophage activation syndrome? 100 Has the ILAR subtype changed? 50 Morning stiffness lasting >15 minutes? 42 History of any form of uveitis? 52 Date started uveitis mediation? 50 Strength of uveitis medication? 83 Counselled prior to new DMARD / biologic? 56 Enrolled in BECS/BCRD if new DMARD / biologic? 48 Joint count (homunculus or table format) 48 Physician assessment of systemic disease activity (VAS) 75 ESR 74 CRP 92 Plasma viscosity 100

Conclusion

Paper collection of the CAPTURE-JIA data items is feasible and acceptable in the routine clinical setting, but unlikely to be sustainable in the longer term if collected in duplicate with medical notes. A digital tool in the clinical domain, ideally interlocking with local systems, would offer many advantages, including more complete and time-efficient data collection.

Conflicts of Interest

The authors declare no conflicts of interest.