What is the problem you are addressing?
Why is a decision model appropriate to address this problem?
What is the population? Include any important characteristics that should be identified
What is the problem? Rotavirus is a leading cause of severe gastroenteritis in India, affecting children under the age of 5. There is currently a vaccine available; however, little evidence exists on the cost-effectiveness of a mass vaccination program for all newborns in India
Why a decision model? There are clear TRADEOFFS in the approach to vaccinate versus not, for all newborns in India. Tradeoffs might include, costs, side effects, short and long-term benefits of averting rotavirus
What is the population? All newborns in India
List all treatment/policy strategies you seek to evaluate
What is the time horizon that captures all benefits/costs for the decision problem?
Treatment/policy strategies: Vaccinate versus not vaccinate (or standard of care)
Time horizon: This paper chose 5-years since the infection happens mostly under the age of 5 (however, one could also argue that a lifetime horizon would be appropriate to capture the full benefits/costs over the lifetime of averting rotavirus effects in children)
Provide rationale for choosing a model & map out the model structure
If you decide on a Markov model, this would include identifying health states (bubble diagram), cycle length, and outcomes (outcomes can include both economic [e.g. ICERs] and clinical [cases of HIV averted]).
Parameters will include transition probabilities of disease, important properties of your interventions, including test sensitivity/specificity, efficacy, etc., quality of life, and costs.
*Note: Identifying the parameters with vague estimates is enough. You do not need to spend time searching for each parameter. Including numbers to run your simulations is “good enough” for this exercise.
Example of utility weights:
Example of disability weights: Marx et al., Lancet Global Health (2020)