Empirical research
Implementing a Novel Quality Improvement-Based Approach to Data Quality Monitoring and Enhancement in a Multipurpose Clinical Registry
Authors:
Jesse Pratt,
Pharmaceutical Product Development, US
Daniel Jeffers,
Total Quality Logistics, US
Eileen C. King ,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati, US
Michael D. Kappelman,
University of North Carolina at Chapel Hill, US
Jennifer Collins,
Cincinnati Children’s Hospital Medical Center, US
Peter Margolis,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati, US
Howard Baron,
Pediatric Gastroenterology & Nutrition Associates, US
Mikelle D. Bassett,
OHSU Doernbecher Children’s Hospital, US
Genie L. Beasley,
UF Health Pediatric Gastroenterology, Hepatology and Nutrition, US
Keith J. Benkov,
Kravis Children’s Hospital at Mount Sinai, US
Jeffrey A. Bornstein,
Arnold Palmer Hospital for Children, US
José M. Cabrera,
Children’s Hospital of Wisconsin, US
Wallace Crandall,
Eli Lilly and Company, US
Liz D. Dancel,
Greenville Health System, Children’s Hospital, US
Monica P. Garin-Laflam,
Carilion Clinic Children’s Hospital, US
John E. Grunow,
Oklahoma University Medical Center, US
Barry Z. Hirsch,
Baystate Medical Center, US
Edward Hoffenberg,
Children’s Hospital Colorado, US
Esther Israel,
MassGeneral Hospital for Children, US
Traci W. Jester,
Children’s of Alabama, US
Fevronia Kiparissi,
Great Ormond Street Hospital, GB
Arathi Lakhole,
UCSF Benioff Children’s Hospital Oakland, US
Sameer P. Lapsia,
Children’s Hospital of the King’s Daughters, US
Phillip Minar,
Cincinnati Children’s Hospital Medical Center, University of Cincinnati, US
Fernando A. Navarro,
Children’s Memorial Hermann Hospital – UT Houston, US
Haley Neef,
University of Michigan – C.S. Mott Children’s Hospital, US
Dinesh S. Pashankar,
Yale-New Haven Children’s Hospital, US
Ashish S. Patel,
UT Southwestern/Children’s Health, US
Victor M. Pineiro,
Levine Children’s Hospital, US
Charles M. Samson,
St. Louis Children’s Hospital – Washington University, US
Kelly C. Sandberg,
Dayton Children’s Hospital, US
Steven J. Steiner,
Riley Hospital for Children, US
Jennifer A. Strople,
Ann and Robert H. Lurie Children’s Hospital of Chicago, US
Boris Sudel,
University of Minnesota, US
Jillian S. Sullivan,
The University of Vermont Children’s Hospital, US
David L. Suskind,
Seattle Children’s Hospital, US
Vikas Uppal,
Nemours Children’s Health System – Wilmington, US
Prateek D. Wali
Upstate Golisano Children’s Hospital, US
Abstract
Objective: To implement a quality improvement based system to measure and improve data quality in an observational clinical registry to support a Learning Healthcare System.
Data Source: ImproveCareNow Network registry, which as of September 2019 contained data from 314,250 visits of 43,305 pediatric Inflammatory Bowel Disease (IBD) patients at 109 participating care centers.
Study Design: The impact of data quality improvement support to care centers was evaluated using statistical process control methodology. Data quality measures were defined, performance feedback of those measures using statistical process control charts was implemented, and reports that identified data items not following data quality checks were developed to enable centers to monitor and improve the quality of their data.
Principal Findings: There was a pattern of improvement across measures of data quality. The proportion of visits with complete critical data increased from 72 percent to 82 percent. The percent of registered patients improved from 59 percent to 83 percent. Of three additional measures of data consistency and timeliness, one improved performance from 42 percent to 63 percent. Performance declined on one measure due to changes in network documentation practices and maturation. There was variation among care centers in data quality.
Conclusions: A quality improvement based approach to data quality monitoring and improvement is feasible and effective.
How to Cite:
Pratt J, Jeffers D, King EC, Kappelman MD, Collins J, Margolis P, et al.. Implementing a Novel Quality Improvement-Based Approach to Data Quality Monitoring and Enhancement in a Multipurpose Clinical Registry. eGEMs (Generating Evidence & Methods to improve patient outcomes). 2019;7(1):51. DOI: http://doi.org/10.5334/egems.262
