Risk Factors Associated with Hospital Readmission in Pediatric Patients

• Activity Number: 466 - Statistical Models for Complex Biomedial Data
• Type: Contributed
• Date/Time: Wednesday, August 2, 2017 : 8:30 AM to 10:20 AM
• Sponsor: Biometrics Section
• Author(s): Yunfei Wang*
• Companies: Children's National
• Keywords: Comorbidity ; Readmission ; Number lab procedures ; length of hospital stays ; number of procedures ; admission type

Abstract

OBJECTIVE: To identify the effect of patient risk factors related to illness severity on hospital readmission. METHODS: A retrospective cohort study of 4,529,841patients aged 2-19 were extracted from the Health Facts database from 2000 to 2013 to build simple models. Stepwise fixed effect logistic regression was used to select the model variables. A final model was fitted with random effect logistic regression. RESULTS: Of the variables that were theoretically considered as predictors of hospital readmission, stepwise fitting approach ultimately selected 11 variables for model prediction. These variables including admission type, comorbidities, number of hospital stay days, number of procedure, number of lab tests, number of previous hospital admissions, medical specialty, discharge type, payer type, year and gender were significantly associated with the likelihood of hospital readmission. CONCLUSIONS: Patient risk factors related to illness severity such as comorbidity, admission type, number of hospital stay days, number of procedures, number of lab tests were the strongest readmission risk factors.