Implementation of a critical care outreach team in a children's hospital.

Introduction: Proactive surveillance by a critical care outreach team (CCOT) can promote early recognition of deterioration in hospitalized patients but is uncommon in pediatric rapid response systems (RRSs). After our children's hospital introduced a CCOT in 2019, we aimed to characterize early implementation outcomes. We hypothesized that CCOT rounding would identify additional children at risk for deterioration. Methods: The CCOT, staffed by a dedicated critical care nurse (RN), respiratory therapist, and attending, conducts daily in-person rounds with charge RNs on medical-surgical units, to screen RRS-identified high-risk patients for deterioration. In this prospective study, observers tracked rounds discussion content, participation, and identification of new high-risk patients. We compared 'identified-patient-discussions' (IPD) about RRS-identified patients, and 'new-patient-discussions' (NPD) about new patients with Fisher's exact test. For new patients, we performed thematic analysis of clinical data to identify deterioration related themes. Results: During 348 unit-rounds over 20 days, we observed 383 discussions - 35 (9%) were NPD. Frequent topics were screening for clinical concerns (374/383, 98%), active clinical concerns (147/383, 39%), and watcher activation (66/383, 17%). Most discussions only included standard participants (353/383, 92%). Compared to IPD, NPD more often addressed active concerns (74.3% vs 34.8%, p < 0.01) and staffing resource concerns (5.7% vs 0.6%, p < 0.04), and more often incorporated extra participants (25.7% vs 6%, p < 0.01). In thematic analysis of 33 new patients, most (29/33, 88%) had features of deterioration. Conclusion: A successfully implemented CCOT enhanced identification of clinical deterioration not captured by existing RRS resources. Future work will investigate its impact on operational safety and patient-centered outcomes.

Leveraging EHR Data to Evaluate the Association of Late Recognition of Deterioration With Outcomes.

OBJECTIVES: Emergency transfers (ETs), deterioration events with late recognition requiring ICU interventions within 1 hour of transfer, are associated with adverse outcomes. We leveraged electronic health record (EHR) data to assess the association between ETs and outcomes. We also evaluated the association between intervention timing (urgency) and outcomes. METHODS: We conducted a propensity-score-matched study of hospitalized children requiring ICU transfer between 2015 and 2019 at a single institution. The primary exposure was ET, automatically classified using Epic Clarity Data stored in our enterprise data warehouse endotracheal tube in lines/drains/airway flowsheet, vasopressor in medication administration record, and/or ≥60 ml/kg intravenous fluids in intake/output flowsheets recorded within 1 hour of transfer. Urgent intervention was defined as interventions within 12 hours of transfer. RESULTS: Of 2037 index transfers, 129 (6.3%) met ET criteria. In the propensity-score-matched cohort (127 ET, 374 matched controls), ET was associated with higher in-hospital mortality (13% vs 6.1%; odds ratio, 2.47; 95% confidence interval [95% CI], 1.24-4.9, P = .01), longer ICU length of stay (subdistribution hazard ratio of ICU discharge 0.74; 95% CI, 0.61-0.91, P < .01), and longer posttransfer length of stay (SHR of hospital discharge 0.71; 95% CI, 0.56-0.90, P < .01). Increased intervention urgency was associated with increased mortality risk: 4.1% no intervention, 6.4% urgent intervention, and 10% emergent intervention. CONCLUSIONS: An EHR measure of deterioration with late recognition is associated with increased mortality and length of stay. Mortality risk increased with intervention urgency. Leveraging EHR automation facilitates generalizability, multicenter collaboratives, and metric consistency.

Implementation of a Multidisciplinary Debriefing Process for Pediatric Ward Deterioration Events.

OBJECTIVES: Event debriefing has established benefit, but its adoption is poorly characterized among pediatric ward providers. To improve patient safety, our hospital restructured its debriefing process for ward deterioration events culminating in ICU transfer. The aim of this study was to describe this process' implementation. METHODS: In the restructured process, multidisciplinary ward providers are expected to debrief all ICU transfers. We conducted a multimethod analysis using facilitative guides completed by debriefing participants. Monthly debriefing completion served as an adoption metric. RESULTS: Between March 2019 and February 2020, providers across 9 wards performed debriefing for 134 of 312 PICU transfers (43%). Bedside nurses participated most frequently (117 debriefings [87%]). There was no significant difference in debriefing by unit, acuity, season, or nurse staffing. Compared with units fully staffed by rotational frontline clinicians (FLCs; eg, resident physicians), units with dedicated FLCs whose responsibilities are primarily limited to that unit (eg, oncology hospitalists) completed significantly more monthly debriefings (average [SD] 57% [30%] vs 33% [28%] of PICU transfers; P = .004). FLC participation was also higher on these units (50% of debriefings [37%] vs 24% [37%]; P = .014). Through qualitative analysis, we identified distinct debriefing themes, with teaming activities such as communication cited most often. CONCLUSIONS: Implementation of a multidisciplinary debriefing process for ward deterioration events culminating in ICU transfer was associated with differential adoption across providers and FLC staffing models but not acuity or nurse staffing. Teaming activities were a debriefing priority. Future study will assess patient safety outcomes.

Harnessing implementation science to optimize harm prevention in critically ill children: A pilot study of bedside nurse CLABSI bundle performance in the pediatric intensive care unit.

OBJECTIVE: Central-line associated bloodstream infection (CLABSI) is associated with increased mortality, morbidity, and cost in hospitalized children. An evidence-based bundle of care can decrease CLABSI, but bundle compliance is imperfect. We explored factors impacting bundle performance in the pediatric intensive care unit (PICU) by bedside nurses. METHODS: Single-center cross-sectional electronic survey of PICU bedside nurses in an academic tertiary care center; using the COM-B (capability, opportunity, motivation) and TDF (theoretical domains framework) behavioral models to explore CLABSI bundle performance and identify barriers to compliance. RESULTS: We analyzed 160 completed surveys from 226 nurses (71% response rate). CLABSI knowledge was strong (capability). However, challenges related to opportunity were identified: 71% reported that patient care requirements impact bundle completion; 32% described the bundle as stressful; and CLABSI was viewed as the most difficult of all bundles. Seventy-five percent reported being highly impacted by physician attitude toward the CLABSI bundle (motivation). CONCLUSIONS: PICU nurses are knowledgeable and motivated to prevent CLABSI, but face challenges from competing clinical tasks, limited resources, and complex family interactions. Physician engagement was specifically noted to impact nurse motivation to complete the bundle. Interventions that address these challenges may improve bundle performance and prevent CLABSI in critically ill children.