Steven D Soroka1, Bryce A Kiberd, Philip Jacobs. 1. Division of Nephrology/Department of Medicine, Dalhousie University, Halifax, Nova Scotia, Canada. steven.soroka@cdha.nshealth.ca
Abstract
BACKGROUND: Despite increasing numbers of patients receiving hemodialysis in satellite units (SHD), the economic aspects have not been widely explored. A cost analysis of SHD and in-center hemodialysis (ICHD) from a societal perspective was performed to establish the efficiencies associated with shifting resources and patients from ICHD to SHD. METHODS: Costs were classified as fixed or variable and placed into categories. The resources for operating a SHD unit are the sum of two components: total fixed costs (TFC) and average variable cost (AVC) times SHD patient volume (Q). Using the TFC of a specific-sized SHD unit and the difference in AVC between ICHD and SHD the number of patients needed (Q) in the SHD unit for financial viability was determined. The formula TFC = (AVC(ICHD) - AVC(SHD)) X Q was used to determine the number of patients (Q) needed in a specific-sized SHD unit such that the yearly cost of SHD treatment would be the same as ICHD treatment. RESULTS: Our results show that SHD fixed costs can be fully offset if the volume of SHD patients is seven per year in a six-station unit. SHD costs were lower for nursing and physician fees. Therefore, ICHD care variable costs were $11,374 more per patient year. SHD patients would also have lower travel costs, a mean cost saving of $12,364 per year. CONCLUSION: SHD can result in significant savings both to the health-care system and to patients. Using the cost categories and formula presented, the number of patients needed in a specific-sized satellite unit to realize cost savings was determined for our program. We found that these savings can offset the fixed investment needed to operate a SHD unit at modest patient volumes.
BACKGROUND: Despite increasing numbers of patients receiving hemodialysis in satellite units (SHD), the economic aspects have not been widely explored. A cost analysis of SHD and in-center hemodialysis (ICHD) from a societal perspective was performed to establish the efficiencies associated with shifting resources and patients from ICHD to SHD. METHODS: Costs were classified as fixed or variable and placed into categories. The resources for operating a SHD unit are the sum of two components: total fixed costs (TFC) and average variable cost (AVC) times SHD patient volume (Q). Using the TFC of a specific-sized SHD unit and the difference in AVC between ICHD and SHD the number of patients needed (Q) in the SHD unit for financial viability was determined. The formula TFC = (AVC(ICHD) - AVC(SHD)) X Q was used to determine the number of patients (Q) needed in a specific-sized SHD unit such that the yearly cost of SHD treatment would be the same as ICHD treatment. RESULTS: Our results show that SHD fixed costs can be fully offset if the volume of SHD patients is seven per year in a six-station unit. SHD costs were lower for nursing and physician fees. Therefore, ICHD care variable costs were $11,374 more per patient year. SHD patients would also have lower travel costs, a mean cost saving of $12,364 per year. CONCLUSION: SHD can result in significant savings both to the health-care system and to patients. Using the cost categories and formula presented, the number of patients needed in a specific-sized satellite unit to realize cost savings was determined for our program. We found that these savings can offset the fixed investment needed to operate a SHD unit at modest patient volumes.
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: Thomas W Ferguson; Reid H Whitlock; Ryan J Bamforth; Alain Beaudry; Joseph Darcel; Michelle Di Nella; Claudio Rigatto; Navdeep Tangri; Paul Komenda Journal: Kidney Med Date: 2020-11-11
Authors: Thomas W Ferguson; James Zacharias; Simon R Walker; David Collister; Claudio Rigatto; Navdeep Tangri; Paul Komenda Journal: PLoS One Date: 2015-08-18 Impact factor: 3.240