Background: The Pediatric Acute Care Cardiology Collaborative (PAC3) is a learning network focused on improving acute care cardiology patient outcomes. Data submission timeliness is a vulnerability for PAC3 and most clinical registries, directly affecting collaborative benchmarking, quality improvement (QI) and research projects.
Objective: PAC3 conducted a collaborative-wide QI project addressing data timeliness and efficiency. Data analysis of submitted cases from September 2019 to February 2020 revealed nine 'High Performer' centers who submitted cases within 67 days of hospital discharge (the limit for timeliness) >90% of the time and eight 'High Potential' sites who submitted timely cases <75% of the time. The primary aim was to increase case submission timeliness in 'High Potential' centers from 41% to 80% by December 2020. The secondary aim was to maintain timeliness in 'High Performer' sites.
Method: During the intervention phase (March-December 2020), plan-do-study-act (PDSA) cycles included webinars, facilitated exploratory conversations, data review and development of a best practice guide ('Getting Started Toolkit'). On-boarded 'New Centers' starting in 2020 were also invited to test intervention effectiveness. Balancing measures included data collector job satisfaction and stress and resubmission rates.
Results: 'High Performer' and 'High Potential' centers submitted 11 358 cases from November 2019 to December 2020. Timely submission rates for 'High Potential' centers improved from 40.6% to 74.6% and were maintained at >90% for 'High Performer' centers. 'New Centers' averaged 92.6% timely case submissions during their first 6 months. Data collector job satisfaction and stress were not impacted, and the resubmission rates did not increase.
Conclusion: PAC3's multicenter QI project increased data submission timeliness in a large pediatric subspecialty registry. The lessons learned and the Toolkit developed can be applied in other registries to improve data submission efficiency, with resultant improvement in benchmarking, QI, research, length of stay and outcomes.
Keywords: cardiology; data collection; learning health network; pediatrics; registries.
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