OBJECTIVE: Our aim was to compare both health-related quality of life and costs for hemodialysis (HD) and peritoneal dialysis (PD) in a defined population. DESIGN: Decision-tree modeling to estimate total costs and effects for two treatment strategies, HD and PD, among patients with chronic kidney failure, for 5 years following the start of treatment. Courses of events and health-care consumption were mapped in a retrospective matched-record study. Data on health status were obtained from a matched population by a quality-of-life questionnaire (EuroQol). The study has a societal perspective. SETTING: All dialysis departments in the southeastern health-care region of Sweden. PATIENTS: 136 patients with kidney failure, comprising 68 matched pairs, were included in a retrospective record study; 81 patients with kidney failure, comprising 27 matched triplets, were included in a prospective questionnaire study. MAIN OUTCOME MEASURES: Cost per life year and cost per quality-adjusted life year. RESULTS: The cost per quality-adjusted life year for PD was lower in all analyzed age groups. There was a 12% difference in the age group 21-40 years, a 31% difference in the age group 41-60 years, and an 11% difference in the age group 61+ years. Peritoneal dialysis and HD resulted in similar frequencies of transplantation (50% and 41%, respectively) and expected survival (3.58 years and 3.56 years, respectively) during the first 5 years after the initiation of treatment. CONCLUSION: The cost-utility ratio is most favorable for PD as the primary method of treatment for patients eligible for both PD and HD.
OBJECTIVE: Our aim was to compare both health-related quality of life and costs for hemodialysis (HD) and peritoneal dialysis (PD) in a defined population. DESIGN: Decision-tree modeling to estimate total costs and effects for two treatment strategies, HD and PD, among patients with chronic kidney failure, for 5 years following the start of treatment. Courses of events and health-care consumption were mapped in a retrospective matched-record study. Data on health status were obtained from a matched population by a quality-of-life questionnaire (EuroQol). The study has a societal perspective. SETTING: All dialysis departments in the southeastern health-care region of Sweden. PATIENTS: 136 patients with kidney failure, comprising 68 matched pairs, were included in a retrospective record study; 81 patients with kidney failure, comprising 27 matched triplets, were included in a prospective questionnaire study. MAIN OUTCOME MEASURES: Cost per life year and cost per quality-adjusted life year. RESULTS: The cost per quality-adjusted life year for PD was lower in all analyzed age groups. There was a 12% difference in the age group 21-40 years, a 31% difference in the age group 41-60 years, and an 11% difference in the age group 61+ years. Peritoneal dialysis and HD resulted in similar frequencies of transplantation (50% and 41%, respectively) and expected survival (3.58 years and 3.56 years, respectively) during the first 5 years after the initiation of treatment. CONCLUSION: The cost-utility ratio is most favorable for PD as the primary method of treatment for patients eligible for both PD and HD.
Authors: Joseph Menzin; Lisa M Lines; Daniel E Weiner; Peter J Neumann; Christine Nichols; Lauren Rodriguez; Irene Agodoa; Tracy Mayne Journal: Pharmacoeconomics Date: 2011-10 Impact factor: 4.981
Authors: S Bansal; M Salazar; J E Lopera; R Narayan; N Mendez; C Castillo; P Fanti; C E Hura Journal: Perit Dial Int Date: 2014 Sep-Oct Impact factor: 1.756
Authors: Luis A Coentrão; Carla S Araújo; Carlos A Ribeiro; Claúdia C Dias; Manuel J Pestana Journal: Perit Dial Int Date: 2013-03-01 Impact factor: 1.756
Authors: Edwin M Spithoven; Anneke Kramer; Esther Meijer; Bjarne Orskov; Christoph Wanner; Jose M Abad; Nuria Aresté; Ramón Alonso de la Torre; Fergus Caskey; Cécile Couchoud; Patrik Finne; James Heaf; Andries Hoitsma; Johan de Meester; Julio Pascual; Maurizio Postorino; Pietro Ravani; Oscar Zurriaga; Kitty J Jager; Ron T Gansevoort Journal: Nephrol Dial Transplant Date: 2014-09 Impact factor: 5.992