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
Authored by Nathaniel D Osgood, Amy Gao, Ying Jiang, Roland F Dyck
Date Published: 2017
DOI: 10.1186/s12882-017-0699-y
Sponsors:
No sponsors listed
Platforms:
No platforms listed
Model Documentation:
Other Narrative
Model Code URLs:
Model code not found
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
kidney transplant assessment and waiting list processes, costs
associated with treatment options, and death. We used this model to
simulate two interventions: 1) No new cases of diabetes after 2005 and
2) Pre-emptive renal transplants carried out on all diabetic persons
with new ESRD.
Results: There was a close match between empirical data and model
output. Going forward, both incidence and prevalence cases of DM-ESRD
approximately doubled from 2010 to 2025, with 250-300 new cases per year
and almost 1300 people requiring RRT by 2025. Prevalent cases of First
Nations people with DM-ESRD increased from 19\% to 27\% of total DM-ESRD
numbers from 1990 to 2025. The trend in yearly costs paralleled the
prevalent DM-ESRD case count. For Scenario 1, despite eliminating
diabetes incident cases after 2005, prevalent cases of DM-ESRD continued
to rise until 2019 before slowly declining. When all DM-ESRD incident
cases received a pre-emptive renal transplant (scenario 2), a
substantial increase in DM-ESRD prevalence occurred reflecting higher
survival, but total costs decreased reflecting the economic advantage of
renal transplantation.
Conclusions: This ABM can forecast numbers and costs of DM-ESRD in
Saskatchewan and be modified for application in other jurisdictions.
This can aid in resource planning and be used by policy makers to
evaluate different interventions in a safe and economical manner.
Tags
Epidemiology
Obesity
health
Mortality
Computer model
agent based
Impact
Costs
Mellitus
Risks
Burden
Diabetes
End stage renal disease
Projection
Aboriginal
Indigenous
1st nations people