Pediatric Critical Care Medicine:
October 2015 - Volume 16 - Issue 8 - p 711–717
doi: 10.1097/PCC.0000000000000477
Quality Metrics in Neonatal and Pediatric Critical Care Transport: A National Delphi Project
Schwartz, Hamilton; Bigham, Michael; Schoettker, Pamela ; Meyer, Keit; Trautman, Michael
Abstract
Objectives: The transport of neonatal and pediatric patients to tertiary care facilities for specialized care demands monitoring the quality of care delivered during transport and its impact on patient outcomes. In 2011, pediatric transport teams in Ohio met to identify quality indicators permitting comparisons among programs. However, no set of national consensus quality metrics exists for benchmarking transport teams. The aim of this project was to achieve national consensus on appropriate neonatal and pediatric transport quality metrics.
Design: Modified Delphi technique.
Setting: The first round of consensus determination was via electronic mail survey, followed by rounds of consensus determination in-person at the American Academy of Pediatrics Section on Transport Medicine’s 2012 Quality Metrics Summit.
Subjects: All attendees of the American Academy of Pediatrics Section on Transport Medicine Quality Metrics Summit, conducted on October 21–23, 2012, in New Orleans, LA, were eligible to participate.
Measurements and Main Results: Candidate quality metrics were identified through literature review and those metrics currently tracked by participating programs. Participants were asked in a series of rounds to identify “very important” quality metrics for transport. It was determined a priori that consensus on a metric’s importance was achieved when at least 70% of respondents were in agreement. This is consistent with other Delphi studies. Eighty-two candidate metrics were considered initially. Ultimately, 12 metrics achieved consensus as “very important” to transport. These include metrics related to airway management, team mobilization time, patient and crew injuries, and adverse patient care events. Definitions were assigned to the 12 metrics to facilitate uniform data tracking among programs.
Conclusions: The authors succeeded in achieving consensus among a diverse group of national transport experts on 12 core neonatal and pediatric transport quality metrics. We propose that transport teams across the country use these metrics to benchmark and guide their quality improvement activities.