The goal of C4-MNP pilot testing was to implement benchmarking of quality measures in 15 units (acute care and intensive care) across 9 pediatric cardiovascular programs in free-standing children’s hospitals. The complete set of 10 measures was tested at participating pilot sites. Nursing representatives from each site led the implementation of the measures and data collection at their site. Site representatives entered their data into a limited-access database designed for the C4-MNP project using REDCap, a secure electronic data capture software at Boston Children’s Hospital.
Pilot testing of 10 quality measures
The 10 quality measures that met criteria for pilot testing across freestanding children’s hospitals were implemented in 9 C4-MNP collaborating centers over the course of a six-month pilot testing phase that began in January 2016. Sites were selected based on their available resources to support data collection, and their ongoing participation in the Children’s Hospital Association Pediatric Health Information System (PHIS).
Pilot testing concluded in September 2016. Dissemination of the pilot testing data is underway. Variation in nursing workforce characteristics were reported across pilot sites, including the proportion of registered nurses (RNs) with 0-2 years of experience, the proportion of RNs with a Bachelor of Science in Nursing, and the proportion of RNs with certification. For detailed results, please review the C4-MNP Phase III Aggregate Result Report.
Quality measure feasibility and usability were also assessed at the conclusion of pilot testing. With the exception of pain score reduction, all pilot measures were deemed feasible to implement. Eight of the ten measures received a score of ≥75% for their ability to be used for internal quality improvement; confirming, changing, or standardizing practice; increasing efficiency; and improving patient outcomes. For detailed results, please review the C4-MNP Phase III Measure Feasibility and Usability Aggregate Result Report.
Results from this work will support initial development of benchmarks and evaluation of the association of the quality measures with patient outcomes.