A Multi-State Approach to Patients Affected by Chronic Heart Failure: The Value Added by Administrative Data

published
2018
biostatistics
healthcare
Healthcare administrative databases are becoming more and more important and reliable sources of clinical and epidemiological information, and are able to…
Authors

Francesco Grossetti

Francesca Ieva

Anna Maria Paganoni

Published

May 9, 2017

DOI | PubMed | Code

Abstract

Healthcare administrative databases are becoming more and more important and reliable sources of clinical and epidemiological information, and are able to track several interactions between a patient and the public healthcare system. This study uses data extracted from the administrative data warehouse of Regione Lombardia, a region in northern Italy, with the aim of providing a description of the epidemiology of Heart Failure patients at the regional level, profiling health service utilization over time, and investigating variations in patient care according to geographic area and socio-demographic characteristics. We apply multi-state models to estimate transition probabilities between admission, discharge, and death states while adjusting for state-dependent covariates. The analysis examines the effects of pharmacological and outpatient care covariates on patients’ readmissions and death, representing an early Italian investigation into factors influencing hospitalization and mortality outcomes in heart failure patients.

Citation

Grossetti, F., Ieva, F. & Paganoni, A. M. (2018). A Multi-State Approach to Patients Affected by Chronic Heart Failure: The Value Added by Administrative Data. Health Care Management Science, 21, 281–291.

BibTeX

@article{grossetti2018multistate,
  title   = {A Multi-State Approach to Patients Affected by Chronic Heart Failure: The Value Added by Administrative Data},
  author  = {Grossetti, Francesco and Ieva, Francesca and Paganoni, Anna Maria},
  journal = {Health Care Management Science},
  volume  = {21},
  number  = {2},
  pages   = {281--291},
  year    = {2018},
  doi     = {10.1007/s10729-017-9400-z}
}