Appl Clin Inform 2023; 14(02): 392-399
DOI: 10.1055/a-2036-0337
Research Article

Improving Pediatric Intensive Care Unit Discharge Timeliness of Infants with Bronchiolitis Using Clinical Decision Support

Blake Martin
1   Department of Pediatrics, Section of Critical Care, University of Colorado School of Medicine, Aurora, Colorado, United States
2   Department of Biomedical Informatics, University of Colorado School of Medicine, Aurora, Colorado, United States
,
Brendan Mulhern
3   Department of Pediatrics, Section of Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Melissa Majors
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Elise Rolison
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Tiffany McCombs
1   Department of Pediatrics, Section of Critical Care, University of Colorado School of Medicine, Aurora, Colorado, United States
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Grant Smith
3   Department of Pediatrics, Section of Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Colin Fisher
3   Department of Pediatrics, Section of Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Elizabeth Diaz
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Dana Downen
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
,
Mark Brittan
3   Department of Pediatrics, Section of Hospital Medicine, University of Colorado School of Medicine, Aurora, Colorado, United States
4   Department of Pediatrics, Children's Hospital Colorado, Aurora, Colorado, United States
› Author Affiliations
Funding None.

Abstract

Background Identifying children ready for transfer out of the pediatric intensive care unit (PICU) is an area that may benefit from clinical decision support (CDS). We previously implemented a quality improvement (QI) initiative to accelerate the transfer evaluation of non–medically complex PICU patients with viral bronchiolitis receiving floor-appropriate respiratory support.

Objectives Design a CDS tool adaptation of this QI initiative to further accelerate transfer evaluation of appropriate patients.

Methods The original initiative focused on identifying for transfer evaluation otherwise healthy children admitted to the PICU with bronchiolitis who had been receiving floor-appropriate levels of respiratory support for at least 6 hours. However, this initiative required that clinicians manually track the respiratory support of qualifying patients. We designed an electronic health record (EHR)–based CDS tool to automate identification of transfer-ready candidates. The tool parses EHR data to identify children meeting prior QI initiative criteria and alerts clinicians to assess transfer readiness once a child has been receiving floor-appropriate respiratory support for 6 hours. We compared time from reaching floor-appropriate support to placement of the transfer order (“time-to-transfer”), PICU length of stay (LOS), and hospital LOS between patients admitted prior to our QI initiative (December 1, 2018–October 19, 2019, “pre-QI phase”), during the initiative but before CDS tool implementation (October 20, 2019–February 7, 2022, “QI phase”), and after CDS implementation (February 8–November 11, 2022, “CDS phase”).

Results CDS-phase patients (n = 131) had a shorter median time-to-transfer of 5.23 (interquartile range [IQR], 3.38–10.0) hours compared with QI-phase patients (n = 304) at 5.93 (IQR, 4.23–12.2) hours (p = 0.04). PICU and hospital LOS values decreased from the pre-QI (n = 150) to QI phase. Though LOS reductions were sustained during the CDS phase, further reductions from QI to CDS phase were not statistically significant.

Conclusion An EHR-based CDS adaptation of a prior QI initiative facilitated timely identification of PICU patients with bronchiolitis ready for transfer evaluation. Such tools might allow PICU clinicians to focus on other high-acuity tasks while accelerating transfer evaluation of appropriate patients.

Protection of Human and Animal Subjects

The study was performed in compliance with the World Medical Association Declaration of Helsinki on Ethical Principles for Medical Research Involving Human Subjects and was approved by the Children's Hospital Colorado Organizational Research Risk and Quality Improvement Review Panel (ORRQIRP) Review Panel.


Supplementary Material



Publication History

Received: 09 September 2022

Accepted: 13 February 2023

Accepted Manuscript online:
15 February 2023

Article published online:
17 May 2023

© 2023. Thieme. All rights reserved.

Georg Thieme Verlag KG
Rüdigerstraße 14, 70469 Stuttgart, Germany

 
  • References

  • 1 Seiger N, Maconochie I, Oostenbrink R, Moll HA. Validity of different pediatric early warning scores in the emergency department. Pediatrics 2013; 132 (04) e841-e850
  • 2 Duncan H, Hutchison J, Parshuram CS. The Pediatric Early Warning System score: a severity of illness score to predict urgent medical need in hospitalized children. J Crit Care 2006; 21 (03) 271-278
  • 3 Jensen CS, Olesen HV, Aagaard H, Svendsen MLO, Kirkegaard H. Comparison of two pediatric early warning systems: a randomized trial. J Pediatr Nurs 2019; 44: e58-e65
  • 4 Soeteman M, Kappen T, van Engelen M. et al. Validation of a modified bedside pediatric early warning system score for detection of clinical deterioration in hospitalized pediatric oncology patients: a prospective cohort study. Pediatr Blood Cancer 2023; 70 (01) e30036
  • 5 Mahant S, Parkin PC, Thavam T. et al; Canadian Paediatric Inpatient Research Network (PIRN). Rates in bronchiolitis hospitalization, intensive care unit use, mortality, and costs from 2004 to 2018. JAMA Pediatr 2022; 176 (03) 270-279
  • 6 Farias JA, Fernández A, Monteverde E. et al; Latin-American Group for Mechanical Ventilation in Children. Mechanical ventilation in pediatric intensive care units during the season for acute lower respiratory infection: a multicenter study. Pediatr Crit Care Med 2012; 13 (02) 158-164
  • 7 Linssen RS, Teirlinck AC, van Boven M. et al. Increasing burden of viral bronchiolitis in the pediatric intensive care unit; an observational study. J Crit Care 2022; 68: 165-168
  • 8 Fritz CQ, Martin B, Riccolo M. et al. Reducing PICU-to-floor time-to-transfer decision in critically ill bronchiolitis patients using quality improvement methodology. Pediatr Qual Saf 2022; 7 (01) e506
  • 9 Feudtner C, Feinstein JA, Zhong W, Hall M, Dai D. Pediatric complex chronic conditions classification system version 2: updated for ICD-10 and complex medical technology dependence and transplantation. BMC Pediatr 2014; 14 (01) 199
  • 10 Feinstein JA, Russell S, DeWitt PE, Feudtner C, Dai D, Bennett TD. R Package for pediatric complex chronic condition classification. JAMA Pediatr 2018; 172 (06) 596-598
  • 11 Carey RG, Stake LV. Improving Healthcare with Control Charts: Basic and Advanced SPC Methods and Case Studies. Quality Press; 2003
  • 12 Alali H, Kazzaz Y, Alshehri A. et al. Reducing unnecessary delays during the transfer of patients from the paediatric intensive care unit to the general ward: a quality improvement project. BMJ Open Qual 2019; 8 (03) e000695
  • 13 Karube T, Goins T, Karsies TJ, Gee SW. Reducing avoidable transfer delays in the pediatric intensive care unit for status asthmaticus patients. Pediatr Qual Saf 2022; 7 (01) e527
  • 14 Frankel LR, Hsu BS, Yeh TS. et al; Voting Panel. Criteria for critical care infants and children: PICU admission, discharge, and triage practice statement and levels of care guidance. Pediatr Crit Care Med 2019; 20 (09) 847-887
  • 15 Panciatici M, Fabre C, Tardieu S. et al. Use of high-flow nasal cannula in infants with viral bronchiolitis outside pediatric intensive care units. Eur J Pediatr 2019; 178 (10) 1479-1484
  • 16 Levin SR, Harley ET, Fackler JC. et al. Real-time forecasting of pediatric intensive care unit length of stay using computerized provider orders. Crit Care Med 2012; 40 (11) 3058-3064
  • 17 Temple MW, Lehmann CU, Fabbri D. Natural language processing for cohort discovery in a discharge prediction model for the neonatal ICU. Appl Clin Inform 2016; 7 (01) 101-115
  • 18 Temple MW, Lehmann CU, Fabbri D. Predicting discharge dates from the NICU using progress note data. Pediatrics 2015; 136 (02) e395-e405