Table 4 –
Model input | Checkbox | Comments (e.g., justification if not reported) |
---|---|---|
Simulation cohort | ||
Baseline age | ||
Ethnicity/race | ||
BMI/weight | ||
Duration of diabetes | ||
Baseline HbA1C, lipids, and blood pressure | ||
Smoking status | ||
Comorbidities | ||
Physical activity | ||
Baseline treatment | ||
Treatment intervention | ||
Type of treatment | ||
Treatment algorithm for HbA1c evolution over time | ||
Treatment algorithm for other conditions (e.g., hypertension, dyslipidemia, and excess weight) | ||
Treatment initial effects on baseline biomarkers | ||
Rules for treatment intensification (e.g., the cutoff HbA1C level to switch the treatment, the type of new treatment, and whether the rescue treatment is an addition or substitution to the standard treatment) | ||
Long-term effects, adverse effects, treatment adherence and persistence, and residual effects after the discontinuation of the treatment | ||
Trajectory of biomarkers, BMI, smoking, and any other factors that are affected by treatment Cost | ||
Differentiated by acute event in first year and subsequent years | ||
Cost of intervention and other costs (e.g., managing complications, adverse events, and diagnostics) | ||
Please report unit prices and resource use separately and give information on discount rates applied | ||
Health state utilities | ||
Operational mechanics of the assignment of utility values (i.e., utility- or disutility-oriented) | ||
Management of multihealth conditions | ||
General model characteristics | ||
Choice of mortality table and any specific event-related mortality | ||
Choice and source of risk equations | ||
If microsimulation: number of Monte-Carlo simulations conducted and justification | ||
Components of model uncertainty being simulated (e.g., risk equations, risk factor trajectories, costs, and treatment effect); number of simulations and justification | ||
BMI, body mass index; HbA1c, glycated hemoglobin. |