Interventions using pediatric diabetes registry data for quality improvement: A systematic review

Area of Science:

• Pediatric endocrinology
• Health services research
• Data science in healthcare

Background:

• Diabetes registries are crucial for quality improvement (QI) and learning health systems.
• Adult diabetes registry QI interventions show benefits, but pediatric data is limited.
• Registries facilitate data sharing, knowledge creation, and informed decision-making for better health outcomes.

Purpose of the Study:

• To assess the impact of QI strategies using pediatric diabetes registry data.
• To evaluate effects on diabetes care processes, care organization, and patient outcomes.
• To determine the potential of pediatric registries in improving diabetes management.

Main Methods:

• Systematic literature search across multiple databases and registry websites.
• Inclusion of studies evaluating QI interventions using pediatric diabetes registry data.
• Independent review and data extraction by two reviewers, including risk of bias assessment.

Main Results:

• Twelve studies met the inclusion criteria; most interventions targeted healthcare providers.
• Five of nine studies showed improvements in hemoglobin A1c (0.26%-0.85%), while four found no significant difference.
• Many studies reported positive effects on care processes and organization, but data heterogeneity prevented meta-analysis.

Conclusions:

• Pediatric diabetes registries are underutilized for QI initiatives.
• These registries hold significant potential to improve diabetes care processes and patient outcomes.
• Leveraging pediatric registry data can foster learning health systems and advance diabetes management.