Projecting prevalence, costs and evaluating simulated interventions for diabetic end stage renal disease in a Canadian population of aboriginal and non-aboriginal people: an agent based approach ...

• Main Authors: Gao, Amy, Osgood, Nathaniel, Jiang, Ying, Dyck, Roland
• Format: Article in Journal/Newspaper
• Language: unknown
• Published: figshare 2017
• Subjects: Medicine; Biological Sciences not elsewhere classified; Information Systems not elsewhere classified; Marine Biology; Cancer; Science Policy; First Nations
• Online Access: https://dx.doi.org/10.6084/m9.figshare.c.3870760.v1; https://springernature.figshare.com/collections/Projecting_prevalence_costs_and_evaluating_simulated_interventions_for_diabetic_end_stage_renal_disease_in_a_Canadian_population_of_aboriginal_and_non-aboriginal_people_an_agent_based_approach/3870760/1

Abstract Background Diabetes-related end stage renal disease (DM-ESRD) is a devastating consequence of the type 2 diabetes epidemic, both of which disproportionately affect Indigenous peoples. Projecting case numbers and costs into future decades would help to predict resource requirements, and simulating hypothetical interventions could guide the choice of best practices to mitigate current trends. Methods An agent based model (ABM) was built to forecast First Nations and non-First Nations cases of DM-ESRD in Saskatchewan from 1980 to 2025 and to simulate two hypothetical interventions. The model was parameterized with data from the Canadian Institute for Health Information, Saskatchewan Health Administrative Databases, the Canadian Organ Replacement Register, published studies and expert judgement. Input parameters without data sources were estimated through model calibration. The model incorporated key patient characteristics, stages of diabetes and chronic kidney disease, renal replacement therapies, the ...