OBJECTIVES : An interdisciplinary program of secondary prevention of chronic kidney disease was implemented in a reference hospital of the social security of Peru in 2013, with the aim to reduce the incidence of dialysis and overall mortality in chronic kidney disease (CKD) patients. A previous study showed the intervention provided a protection of 58% to progress to dialysis compared to the standard care. We aim to estimate the lifetime economic and health consequences of the RHP intervention to determine its cost-effectiveness.

METHODS : We use a Markov model of three health stages to simulate for 30 years the cost associated with intervention and standard of care alternative, as well as years lived free of dialysis (YL) and Quality Adjusted Life Years (QALY). We use a simulated cohort with the same structure as the original dataset. Cost were estimated since the payer perspective.

RESULTS : We found an Incremental Cost-Effectiveness Ratio (ICER) per YL adverted of $149 and per QALY gained of $1,752. From a one-way analysis, the ICER showed high sensitivity to changes in treatment effect, cost of treatment and cost of dialysis, out of eight parameters included in the analysis.

CONCLUSIONS : We found our model robust to internal validity due to good representation of the target cohort and low uncertainty in the sources from key parameters in the model. Our results present evidence of a cost-effective strategy in a Regional context of reduced evidence of prevention strategies for CKD. We hope our results help to advocate for more similar strategies.