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Predicting Risk Of Hospitalisation: A Retrospective Population-Based Analysis In A Paediatric Population In Emilia-Romagna, Italy., Daniel Z. Louis, Clara A. Callahan, Mary Robeson, Mengdan Liu, Jacquelyn Mcrae, Joseph S. Gonnella, Marco Lombardi, Vittorio Maio
Predicting Risk Of Hospitalisation: A Retrospective Population-Based Analysis In A Paediatric Population In Emilia-Romagna, Italy., Daniel Z. Louis, Clara A. Callahan, Mary Robeson, Mengdan Liu, Jacquelyn Mcrae, Joseph S. Gonnella, Marco Lombardi, Vittorio Maio
College of Population Health Faculty Papers
OBJECTIVES: Develop predictive models for a paediatric population that provide information for paediatricians and health authorities to identify children at risk of hospitalisation for conditions that may be impacted through improved patient care.
DESIGN: Retrospective healthcare utilisation analysis with multivariable logistic regression models.
DATA: Demographic information linked with utilisation of health services in the years 2006-2014 was used to predict risk of hospitalisation or death in 2015 using a longitudinal administrative database of 527 458 children aged 1-13 years residing in the Regione Emilia-Romagna (RER), Italy, in 2014.
OUTCOME MEASURES: Models designed to predict risk of hospitalisation or death in …