Projecting demands for renal replacement therapy in the Northern Territory: a stochastic Markov model.

Conclusions The present study demonstrates the effects of changing service patterns to increase Tx, self-care and prevention, all of which will substantially attenuate the growth in FHD requirements in the NT.What is known about the topic? The burden of ESKD is projected to increase in the NT, with demand for FHD doubling every 15 years. Little is known about the potential effect of changes in health policy and clinical practice on demand.What does this paper add? This study assessed the usefulness of a stochastic Markov model to evaluate the effects of potential policy changes on FHD demand.What are the implications for practitioners? The scenarios simulated by the stochastic Markov models suggest that changes in current ESKD management practices would have a large effect on future demand for FHD. PMID: 28553999 [PubMed - as supplied by publisher]
Source: Australian Health Review - Category: Hospital Management Authors: Tags: Aust Health Rev Source Type: research