In this work, a multilevel Latent Markov model is proposed to study the evolution of the health status of elderly patients hosted in different nursing homes. A dataset is considered which is gathered from the Long Term Care Facilities programme, a longitudinal study carried on in Umbria (Italy). The data at hand cover the years 2012 and 2013. The final goal of our analysis is to rank the nursing homes according to their performance in retaining patients in the best health conditions. Our results show significantly different nursing home performances.
Statistical assessment of public health care services: a multilevel Markov model / MONTANARI, Giorgio Eduardo; DORETTI, MARCO; BARTOLUCCI, Francesco. - ELETTRONICO. - (2017), pp. 1-4. (Intervento presentato al convegno 8th Scientific Conference on INNOVATION & SOCIETY Statistical Methods for Evaluation and Quality tenutosi a Naples Italy nel September 6th-7th 2017).
Statistical assessment of public health care services: a multilevel Markov model
MONTANARI, Giorgio Eduardo;DORETTI, MARCO;BARTOLUCCI, Francesco
2017
Abstract
In this work, a multilevel Latent Markov model is proposed to study the evolution of the health status of elderly patients hosted in different nursing homes. A dataset is considered which is gathered from the Long Term Care Facilities programme, a longitudinal study carried on in Umbria (Italy). The data at hand cover the years 2012 and 2013. The final goal of our analysis is to rank the nursing homes according to their performance in retaining patients in the best health conditions. Our results show significantly different nursing home performances.
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