ABSTRACT
BACKGROUND: Cardiopulmonary events (CPE) have a central, obstructive, or mixed etiology. Lack of standardized diagnosis and management of CPE may prolong the length of stay (LOS). OBJECTIVE: To increase the accuracy of CPE diagnosis and decrease LOS by 10% for preterm infants over a 12-month period. METHODS: Develop an evidence-based algorithm to identify type of CPE, determine management approach, and evaluate cardio-respiratory monitors output. Apply model for improvement and statistical process control charts to determine special cause variation. RESULTS: Identification of central apnea increased from 15 to 39% (p < 0.01). LOS decreased 26% from 52.6 days to 39.2 days, with an estimated cost savings of $13,119 per each of the 225 infants in the initiative. CONCLUSION: After implementing an evidence-based algorithm for management of neonatal CPE, a significant increase in the accuracy of the diagnosis of central apnea and cost savings associated with a decrease in LOS were observed.
