Cost-effectiveness of treatments for Type 2 Diabetes Mellitus
Client: York Health Economics Consortium (YHEC)
Student: Michael Thomas
Supervisor: (MSc OR Project)
An existing model, DiDACT is being used to help determine the cost-effectiveness of treatments for Type 2 Diabetes Mellitus. The model incorporates country specific epidemiological data, along with resource use and cost data. This project involved exploring the sensitivity of DiDACT to these data with a view to informing discussions to determine the minimum data set required to create a robust country, or regional, version of DiDACT.Assessing the sensitivity of key DiDACT outputs to variations in country specific input parameters involved running a series of sensitivity analyses. This involved writing visual basic for applications (VBA) code to automate the process, which consisted of three phases:
- Phase One involved looking at the impact of adjusting country specific input parameters on model outputs from a ‘standard care’ treatment strategy;
- Phase Two looked at the impact on model outputs generated by running two comparator treatment strategies, a ‘standard care’ strategy and an ‘alternative care’ strategy.
- Phase Three involved exploring the impact of adjusting the age distribution of newly diagnosed patients with Type 2 Diabetes and discount rates.
It was concluded that increasing and decreasing the age distribution of patients newly diagnosed with Type 2 Diabetes resulted in similar impacts on the costs but a greater impact on life-years and ‘quality adjusted life years’ than previous analyses had shown. As expected the discount rates had a large impact on the net health benefit value but altering the rates in addition to altering the input parameters did not change the relative importance of the parameters.