Implementing a Novel Quality Improvement-Based Approach to Data Quality Monitoring and Enhancement in a Multipurpose...

Area of Science:

• Clinical Informatics
• Health Services Research
• Quality Improvement Science

Background:

• Observational clinical registries are crucial for advancing healthcare.
• Maintaining high data quality is essential for reliable clinical insights and learning healthcare systems.
• The ImproveCareNow Network registry collects data on pediatric Inflammatory Bowel Disease (IBD) patients.

Purpose of the Study:

• To implement and evaluate a quality improvement (QI) based system for measuring and enhancing data quality within an observational clinical registry.
• To support the development of a Learning Healthcare System through improved data integrity.

Main Methods:

• Utilized statistical process control (SPC) methodology to evaluate the impact of QI support on care centers.
• Defined specific data quality measures and implemented performance feedback using SPC charts.
• Developed reports to identify data quality issues, enabling centers to monitor and improve their data.

Main Results:

• Demonstrated a positive trend in data quality measures, with an increase in complete critical data from 72% to 82%.
• Observed significant improvements in patient registration rates, rising from 59% to 83%.
• One of three additional measures of data consistency and timeliness improved from 42% to 63%, though one measure declined due to practice changes; variation in data quality existed among centers.

Conclusions:

• A quality improvement-driven approach to data quality monitoring and enhancement is both feasible and effective.
• The implemented system successfully improved key data quality indicators in a large pediatric IBD registry.
• This QI-based strategy provides a scalable model for enhancing data quality in clinical registries to support learning healthcare initiatives.