Date of Award
Open Access Thesis
Doctor of Nursing Practice (DNP)
Yale University School of Nursing
Laura K. Andrews
Objectives: Inform the development and implementation of an early response algorithm for suspected sepsis patients via a rapid response team.
Background: Recent literature supports the need for early recognition and intervention of suspected sepsis patients, potentially reducing morbidity and mortality.
Methods: A clinically and professionally reviewed algorithm was developed to execute early, sepsis-specific intervention. The algorithm design was carried out in 3 steps: (1) The establishment of recognition criteria based on evidence; (2) The validation of the algorithm by a panel of clinical experts; and (3) The development of a plan to initiate inclusion of the criteria into a rapid response team.
Results: Experts rated three of five domains described in the literature (Sepsis/Mortality, Early intervention/treatment, Code SMARRT Algorithm) as having greater than 90% agreement related to relevance and importance.
Conclusions: The implementation of the Code SMARRT algorithm has the potential to reduce unnecessary deaths related to sepsis and septic shock.
Layman, Timothy Richard, "Early Intervention In Suspected Sepsis Patients" (2016). Yale School of Nursing Digital Theses. 1068.
This Article is Open Access