Modelling Hospital Mortality Data using The Heligman-Pollard Model with R HPBayes

Analysis on hospital mortality data gives an important information to improve hospital performances and for mortality comparison. One important model in the parametric family for mortality is the Heligman-Pollard Model (the HP Model). Recently, the method of estimation for this model has been developed based on Bayesian Inference and implemented in the R package HPbayes. In this paper, mortality data from the inpatient records during the period of 2010-2014 in a certain general hospital in Sragen were used to model the hospital mortality pattern across the whole life span using the HPbayes. The interpretation of the model and comparison to the national life table are discussed.