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Published on: April 7, 2023
Association Between Rapid Response Algorithms and Clinical Outcomes of Hospitalized Children
Jonathan G Sawicki1,2, Dana Tower1, Elizabeth Vukin1,2
1Departments of Pediatrics.
Insights
Implementing pediatric rapid response algorithms in hospitals did not immediately change critical deterioration events but led to a significant decrease over time. This suggests clinical pathways can improve outcomes for hospitalized children.
Area of Science:
- Pediatric critical care medicine
- Health services research
- Clinical pathway implementation
Background:
- Existing rapid response systems aim to improve care for deteriorating hospitalized children.
- Clinical pathways, such as pediatric rapid response algorithms, offer a structured approach to patient management.
Purpose of the Study:
- To evaluate if implementing pediatric rapid response algorithms improved clinical outcomes in hospitalized children.
- To assess the impact of these algorithms on the rate of critical deterioration events.
Main Methods:
- Retrospective analysis of unplanned PICU transfers from general floors (July 2017-Jan 2020).
- Used multivariable Poisson regression and interrupted time series analysis.
- Examined immediate effects and long-term trajectory changes in critical deterioration events.
Main Results:
- 892 patients included; 615 pre-implementation, 277 post-implementation.
- No immediate change in critical deterioration events post-implementation.
- Associated with a significant downward trajectory in events over time (P < .001).
Conclusions:
- Algorithm implementation correlated with a decreased rate of critical deterioration events.
- Observational nature necessitates caution regarding confounding factors.
- Results are promising for future research on clinical pathways in rapid response systems.
Objectives:
To evaluate whether the implementation of clinical pathways, known as pediatric rapid response algorithms, within an existing rapid response system was associated with an improvement in clinical outcomes of hospitalized children.
Methods:
We retrospectively identified patients admitted to the PICU as unplanned transfers from the general medical and surgical floors at a single, freestanding children's hospital between July 1, 2017, and January 31, 2020. We examined the impact of the algorithms on the rate of critical deterioration events. We used multivariable Poisson regression and an interrupted time series analysis to measure 2 possible types of change: an immediate implementation effect and an outcome trajectory over time.
Results:
We identified 892 patients (median age: 4 [interquartile range: 1-12] years): 615 in the preimplementation group, and 277 in the postimplementation group. Algorithm implementation was not associated with an immediate change in the rate of critical deterioration events but was associated with a downward rate trajectory over time and a postimplementation trajectory that was significantly less than the preimplementation trajectory (trajectory difference of -0.28 events per 1000 non-ICU patient days per month; 95% confidence interval -0.40 to -0.16; P < .001).
Conclusions:
Algorithm implementation was associated with a decrease in the rate of critical deterioration events. Because of the study's observational nature, this association may have been driven by unmeasured confounding factors and the chosen implementation point. Nevertheless, the results are a promising start for future research into how clinical pathways within a rapid response system can improve care of hospitalized patients.
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