Lessons learned in the use of clinical registry data in a multi-centre prospective study: the Pediatric Heart Network Residual Lesion Score Study

The cerebral palsy research network: Building a learning health network for cerebral palsy

PURPOSE

The purpose of this study was to measure the growth of the Cerebral Palsy (CP) Research Network towards becoming a Learning Health Network in order to guide future development.

METHODS

Thirteen CP Research Network leaders completed the Network Maturity Grid (NMG) which consists of six domains with eight to 10 components each. The six domains are Systems of Leadership, Governance and Management, Quality Improvement, Engagement and Community, Data and Analytics, and Research. Radar mapping was utilized to display mean scores on a 5-point ordinal scale (1 = not started to 5 = idealized state) across domains and for individual components within domains. Consensus was reached for top priorities for the next 3-5 years.

RESULTS

Domain scores ranged from 2.4 in Quality Improvement to 3.2 in System of Leadership. The lowest scoring component was clinician clinical decision support and the highest was common purpose. The following priority areas of focus were agreed upon moving forward: development of leaders, financial sustainability, quality improvement education and training, patient reported data, data quality and validation, and primary data collection.

CONCLUSION

Results from this project will be utilized for strategic planning to improve the network. Conducting regular self-assessments of the network with the NMG will be useful in achieving the network's ultimate goal to improve care and outcomes for individuals with CP.

The Society of Thoracic Surgeons Congenital Heart Surgery Database: 2019 Update on Research

As the largest congenital and pediatric cardiac surgical clinical data registry in the world, The Society of Thoracic Surgeons Congenital Heart Surgery Database (STS CHSD) serves as a platform for reporting of outcomes and for quality improvement. In addition, it is an important source of data for clinical research and for innovations related to quality measurement. Each year, several teams of investigators undertake analyses of data in the STS CHSD pertaining to the surgical management of specific diagnostic and procedural groups, or to specific processes of care, and their associations with patient characteristics and outcomes across centers participating in the STS CHSD. Additional ongoing projects involve the development of new or refined metrics for quality measurement and reporting of outcomes and center-level performance. The STS, through its Workforce for National Databases and the STS Research Center and Workforce on Research Development provides multiple pathways through which investigators may propose and perform outcomes research projects based on STS CHSD data. This report reviews research published within the past year.