Background: For years, nurse researchers have been called upon to engage with "big data" in the electronic health record (EHR) by leading studies focusing on nurse-centric patient outcomes and providing clinical analysis of potential outcome indicators. However, the current gap in nurses' data science education and training poses a significant barrier.
Objectives: We aimed to evaluate the viability of conducting nurse-led, big-data research projects within a custom-designed computational laboratory and examine the support required by a team of researchers with little to no big-data experience.
Objective: There is widespread overuse of antibiotics in neonatal intensive care units (NICUs). The objective of this study was to safely reduce antibiotic use in participating NICUs by targeting early-onset sepsis (EOS) management.
Study Design: Twenty-eight NICUs participated in this statewide multicenter antibiotic stewardship quality improvement collaborative.
Objective: To assess clinician perceptions towards the value and implementation of antibiotic stewardship (AS) in neonatal intensive care units (NICU).
Study Design: We performed a mixed-methods study of AS perceptions (prescribing appropriateness, importance, activity, capacity) using surveys and interviews in 30 California NICUs before and after a multicenter collaborative (Optimizing Antibiotic Use in California NICUs [OASCN]).
Results: Pre-OASCN, 24% of respondents felt there was "a lot of" or "some" inappropriate prescribing, often driven by fear of a bad outcome or reluctance to change existing practice.
Objective: To describe variation in blood culture practices in the neonatal intensive care unit (NICU).
Design: Survey of neonatal practitioners involved with blood culturing and NICU-level policy development.
Participants: We included 28 NICUs in a large antimicrobial stewardship quality improvement program through the California Perinatal Quality Care Collaborative.