Literature DB >> 26667853

Predicting future emergency department visits and hospitalizations for asthma using the Pediatric Asthma Control and Communication Instrument - Emergency Department version (PACCI-ED).

Dominic J Wu1, Evelyn Hipolito2, Andrew Bilderback3, Sande O Okelo4, Aris Garro5.   

Abstract

OBJECTIVE: Emergency departments (EDs) are potential settings for interventions to improve asthma outcomes. Screening tools can identify children at risk of future morbidity. Our objective was to determine the predictive validity of the Pediatric Asthma Control and Communication Instrument - Emergency Department version (PACCI-ED) for future asthma-related ED visits and hospitalizations.
METHODS: This was a retrospective cohort study of 108 children 1-17 years old who visited an ED for asthma and completed the PACCI-ED. The PACCI-ED queries parents about prior 12-month ED visits, hospitalizations, steroid use, perceived asthma morbidity and burden, and asthma control (over prior 1-2 weeks). The primary outcome was subsequent ED visits and hospitalizations within 1 year of enrollment. Poisson regression was used to model PACCI-ED questions for future ED visits controlling for age and socioeconomic status.
RESULTS: Reported ED visits predicted future ED visits (adjusted incidence rate ratio (aIRR) 3.1, 95% confidence interval (CI): 1.3-7.2) but not future hospitalizations. Reported hospitalizations predicted future ED visits (aIRR 3.3; 95% CI 1.7-6.3) and hospitalizations (aIRR 6.4; 95% CI 2.3-17.6). The remaining PACCI-ED questions did not predict future ED visits or hospitalizations.
CONCLUSIONS: The PACCI-ED risk domain was the only domain that predicted future asthma ED visits and hospitalizations. Questions about previous ED visits and hospitalizations are the most effective questions when screening children with asthma in EDs for the risk of future health-care use.

Entities:  

Keywords:  Child; emergency medicine; risk; survey; validation

Mesh:

Year:  2016        PMID: 26667853     DOI: 10.3109/02770903.2015.1115520

Source DB:  PubMed          Journal:  J Asthma        ISSN: 0277-0903            Impact factor:   2.515


  4 in total

1.  A Predictive Model for Identification of Children at Risk of Subsequent High-Frequency Utilization of the Emergency Department for Asthma.

Authors:  Margaret E Samuels-Kalow; Matthew W Bryan; Marilyn Sawyer Sommers; Joseph J Zorc; Carlos A Camargo; Cynthia Mollen
Journal:  Pediatr Emerg Care       Date:  2020-02       Impact factor: 1.454

2.  Clinical efficacy of recombinant human latrophilin 3 antibody in the treatment of pediatric asthma.

Authors:  Maohua Liu; Jingxiu Zhang; Chengjun Liu
Journal:  Exp Ther Med       Date:  2017-10-25       Impact factor: 2.447

3.  Comparing Statewide and Single-center Data to Predict High-frequency Emergency Department Utilization Among Patients With Asthma Exacerbation.

Authors:  Margaret E Samuels-Kalow; Mohammad K Faridi; Janice A Espinola; Jean E Klig; Carlos A Camargo
Journal:  Acad Emerg Med       Date:  2017-12-11       Impact factor: 3.451

4.  Predictors of repeated acute hospital attendance for asthma in children: A systematic review and meta-analysis.

Authors:  Cristina Ardura-Garcia; Marie Stolbrink; Seher Zaidi; Philip J Cooper; John D Blakey
Journal:  Pediatr Pulmonol       Date:  2018-06-05
  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.