Literature DB >> 15039688

Recalibration of the pediatric risk of admission score using a multi-institutional sample.

James M Chamberlain1, Kantilal M Patel, Murray M Pollack, Anne Brayer, Charles G Macias, Pamela Okada, Jeff E Schunk.   

Abstract

STUDY
OBJECTIVE: Case-mix adjustment is a critical component of quality assessment and benchmarking. The Pediatric Risk of Admission (PRISA) score is composed of descriptive, physiologic, and diagnostic variables that provide a probability of hospital admission as an index of severity. The score was developed and validated in a single tertiary pediatric hospital emergency department (ED) after exclusion of children with minor injuries and illnesses. We provide a multi-institutional recalibration and validation of the PRISA score and test its performance in 4 additional EDs, including patients with minor injuries and illnesses.
METHODS: Masked, photocopied, randomly selected medical records of ED patients from 2000 were abstracted and were used to test the performance (discrimination and calibration) of the original PRISA score. This sample differed from the original PRISA sample by including 5 hospitals and including patients with minor injuries and minor illnesses. Independent variables included components of acute and chronic history, physiologic variables, and 3 ED therapies. The dependent variable was hospital admission. PRISA was then recalibrated as needed by using an 80% development sample and a 20% validation sample. Area under the curve and the Hosmer-Lemeshow goodness-of-fit test were used to measure, respectively, discrimination and calibration of the PRISA score after recalibration. We then applied the recalibrated PRISA score to secondary outcomes to test construct validity. We reasoned that a valid measure of ED severity should also be associated with the secondary outcomes of mandatory admissions (admissions using > or =1 inpatient resources) and ICU admissions.
RESULTS: The recalibrated PRISA score performed well in all deciles of predicted probability of admission. The area under the curve was 0.81 and the calibration was good (Hosmer-Lemeshow 10.658; df=8; P=.222) for the development sample, and the area under the curve was 0.785 with excellent calibration (Hosmer-Lemeshow 8.341; df=9; P=.500) for the validation sample. The overall development sample had 423.9 admissions predicted and 423 observed; the validation sample had 112.1 predicted and 110 observed.
CONCLUSION: The PRISA score has been recalibrated and performs well in EDs of tertiary pediatric hospitals. Comparison with this benchmark may allow individual EDs to improve their performance and may provide insight into best practices.

Entities:  

Mesh:

Year:  2004        PMID: 15039688     DOI: 10.1016/j.annemergmed.2003.08.001

Source DB:  PubMed          Journal:  Ann Emerg Med        ISSN: 0196-0644            Impact factor:   5.721


  13 in total

Review 1.  The asthma prediction rule to decrease hospitalizations for children with asthma.

Authors:  Donald H Arnold; Marion R Sills; Colin G Walsh
Journal:  Curr Opin Allergy Clin Immunol       Date:  2016-06

2.  Development and validation of a risk-adjustment tool in acute asthma.

Authors:  Chu-Lin Tsai; Sunday Clark; Ashley F Sullivan; Carlos A Camargo
Journal:  Health Serv Res       Date:  2009-07-13       Impact factor: 3.402

3.  Association between upper extremity fractures and weight status in children.

Authors:  Steven A Singer; James M Chamberlain; Laura Tosi; Stephen J Teach; Leticia Manning Ryan
Journal:  Pediatr Emerg Care       Date:  2011-08       Impact factor: 1.454

4.  Exploring the clinical utility of blood ketone levels in the emergency department assessment of paediatric patients.

Authors:  P B O'Donohoe; R Kessler; T F Beattie
Journal:  Emerg Med J       Date:  2006-10       Impact factor: 2.740

5.  Toward early identification of acute lung injury in the emergency department.

Authors:  Robert J Freishtat; Bahar Mojgani; David J Mathison; James M Chamberlain
Journal:  J Investig Med       Date:  2007-12       Impact factor: 2.895

6.  Severity of Illness Measures for Pediatric Inpatients.

Authors:  Amanda J Hessels; Jianfang Liu; Bevin Cohen; Jingjing Shang; Elaine L Larson
Journal:  J Healthc Qual       Date:  2018 Sep/Oct       Impact factor: 1.095

Review 7.  Bench-to-bedside review: outcome predictions for critically ill patients in the emergency department.

Authors:  Jenny Hargrove; H Bryant Nguyen
Journal:  Crit Care       Date:  2005-04-18       Impact factor: 9.097

8.  The intranasal dexmedetomidine plus ketamine for procedural sedation in children, adaptive randomized controlled non-inferiority multicenter trial (Ketodex): a statistical analysis plan.

Authors:  Anna Heath; Juan David Rios; Eleanor Pullenayegum; Petros Pechlivanoglou; Martin Offringa; Maryna Yaskina; Rick Watts; Shana Rimmer; Terry P Klassen; Kamary Coriolano; Naveen Poonai
Journal:  Trials       Date:  2021-01-06       Impact factor: 2.279

9.  Adaptive randomised controlled non-inferiority multicentre trial (the Ketodex Trial) on intranasal dexmedetomidine plus ketamine for procedural sedation in children: study protocol.

Authors:  Naveen Poonai; Kamary Coriolano; Terry Klassen; Anna Heath; Maryna Yaskina; Darcy Beer; Scott Sawyer; Maala Bhatt; April Kam; Quynh Doan; Vikram Sabhaney; Martin Offringa; Petros Pechlivanoglou; Serena Hickes; Samina Ali
Journal:  BMJ Open       Date:  2020-12-10       Impact factor: 2.692

10.  A new implicit review instrument for measuring quality of care delivered to pediatric patients in the emergency department.

Authors:  Madan Dharmar; James P Marcin; Nathan Kuppermann; Emily R Andrada; Stacey Cole; Danielle J Harvey; Patrick S Romano
Journal:  BMC Emerg Med       Date:  2007-08-23
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.