Implementing a Novel Quality Improvement-Based Approach to Data Quality Monitoring and Enhancement in a Multipurpose Clinical Registry
Author Department
Pediatrics
Document Type
Article, Peer-reviewed
Publication Date
9-2019
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.
Recommended Citation
Pratt J, Jeffers D, King EC, Kappelman MD, Collins J, Margolis P, Baron H, Bass JA, Bassett MD, Beasley GL, Benkov KJ, Bornstein JA, Cabrera JM, Crandall W, Dancel LD, Garin-Laflam MP, Grunow JE, Hirsch BZ, Hoffenberg E, Israel E, Jester TW, Kiparissi F, Lakhole A, Lapsia SP, Minar P, Navarro FA, Neef H, Park KT, Pashankar DS, Patel AS, Pineiro VM, Samson CM, Sandberg KC, Steiner SJ, Strople JA, Sudel B, Sullivan JS, Suskind DL, Uppal V, Wali PD. Implementing a Novel Quality Improvement-Based Approach to Data Quality Monitoring and Enhancement in a Multipurpose Clinical Registry. EGEMS (Wash DC). 2019 Sep 30;7(1):51.
PMID
31646151