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. 2022 Jul 13;7(4):e577.
doi: 10.1097/pq9.0000000000000577. eCollection 2022 Jul-Aug.

Improving Delirium Assessments in Vanderbilt Pediatric and Pediatric Cardiovascular Intensive Care Units

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Improving Delirium Assessments in Vanderbilt Pediatric and Pediatric Cardiovascular Intensive Care Units

H Nur Eken et al. Pediatr Qual Saf. .

Abstract

Introduction: Delirium is a disturbance of attention and awareness that represents a change from baseline mental status. Accurate diagnosis of delirium is of paramount importance to improving the management of pediatric delirium in the intensive care unit. Despite ongoing education, inconsistencies in delirium assessments occur. Here, we aimed to determine the extent of the problem and increase compliance with delirium assessments.

Methods: We collected preintervention data to assess baseline compliance of delirium assessments in the Pediatric Intensive Care Unit (PICU) and Pediatric Cardiac Intensive Care Unit (PCICU) at Monroe Carell Jr Children's Hospital at Vanderbilt in November 2020. We executed 2 Plan-Do-Study-Act cycles with different interventions and collected data after each and approximately 1 year after the interventions. The first intervention consisted of virtual lectures on delirium assessments for the nursing staff. The second intervention included an educational handout and a new electronic medical record documentation tool.

Results: Five hundred five individual nurse-patient encounters were assessed and collected throughout the project. The mean compliance of delirium documentation before the interventions was 52.5%. Target compliance after interventions was 70%. Mean compliance was 70% after cycle 1, 78% after cycle 2, and 86% in March 2022.

Conclusions: Using pre- and postintervention data from chart reviews and nurse interviews regarding delirium screenings, we found that interventions targeting nurse education and EMR flowsheet improved compliance with delirium assessment and documentation in the PICU and PCICU. Future work should focus on assessing the clinical implications of this project in diagnosing and treating delirium.

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Figures

Fig. 1.
Fig. 1.
Fishbone diagram delineating root causes for delirium screening inaccuracies.
Fig. 2.
Fig. 2.
Key driver diagram of the pediatric delirium quality improvement initiative.
Fig. 3.
Fig. 3.
pCAM-ICU and psCAM-ICU pocket cards.
Fig. 4.
Fig. 4.
Pareto chart showing the percentage of errors from 6 categories in the preintervention phase (n = 61). The most common error type was no official assessment, followed by inaccurate/absent documentation, lack of training, wrong exclusion criteria, insufficient EMR setup, and other reasons.
Fig. 5.
Fig. 5.
Statistical process control chart denoting the percentage of accurate delirium assessments pre- and postintervention. Final round of postintervention data were collected between March 2, 2022, and March 10, 2022. Each data point represents the percentage of completed assessments per day, divided by the total number of patients in the units qualifying for a delirium assessment that day. Mean compliance after the final intervention was 86%.

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