OBJECTIVE: To estimate and compare direct costs per hemodialysis session in public and private units in Mexico City. MATERIAL AND METHODS: PAATI, a microcosting strategy, was used to determine total costs of four public and two private health hospitals in Mexico City. A "shadow study" approach was employed to collect the needed data. Charts containing the "PAATI" information for each session were developed in Microsoft Excel. RESULTS: The average annual cost per patient undergoing hemodialysis in public units is $158 964.00 MX. The estimated cost for the care of all population estimated in need of renal replacement therapy (via hemodialysis) was estimated to be $10 921 788 072.00 MX. CONCLUSION: Human resources and infrastructure availability in México are very limited for nephrology, and in consequence for offering hemodialysis services.
OBJECTIVE: To estimate and compare direct costs per hemodialysis session in public and private units in Mexico City. MATERIAL AND METHODS: PAATI, a microcosting strategy, was used to determine total costs of four public and two private health hospitals in Mexico City. A "shadow study" approach was employed to collect the needed data. Charts containing the "PAATI" information for each session were developed in Microsoft Excel. RESULTS: The average annual cost per patient undergoing hemodialysis in public units is $158 964.00 MX. The estimated cost for the care of all population estimated in need of renal replacement therapy (via hemodialysis) was estimated to be $10 921 788 072.00 MX. CONCLUSION:Human resources and infrastructure availability in México are very limited for nephrology, and in consequence for offering hemodialysis services.
Authors: Margarita Ibarra-Hernández; Oralia Alejandra Orozco-Guillén; María Luz de la Alcantar-Vallín; Ruben Garrido-Roldan; María Patricia Jiménez-Alvarado; Kenia Benitez Castro; Francisco Villa-Villagrana; Mario Borbolla; Juan Manuel Gallardo-Gaona; Guillermo García-García; Norberto Reyes-Paredes; Giorgina Barbara Piccoli Journal: J Nephrol Date: 2017-10-11 Impact factor: 3.902