Criteriaa | Criteria met? (1 = yes, x = no or not reported) |
---|---|
Structure: | |
 Inputs and outputs relevant to the decision-making perspective | 1 |
 Structure consistent with the theory of the disease in question | 1 |
 Structure as simple, although including essential aspects for decision-making. Simplifications, if any, justified as not significantly affecting the results. | 1 |
 Heterogeneity in the modelled population accounted for by stratifying by groups that have different outcome probabilities or costs. | 1 |
 Time horizon of the model sufficient to detect important (and clinically meaningful) differences in long-term health and cost outcomes. | 1 |
Data: | |
 Data identification: | |
  Systematic reviews of the literature conducted on key model inputs. | x |
  Ranges provided in base-case estimates of all input parameters for which sensitivity analyses were done. | 1 |
  Data based on expert opinion, if used, are derived via formal methods, e.g. Delphi | x |
  Attempts to obtain new data prior to modeling have been considered. | x |
 Data modeling: | |
  Modeling methods follow accepted methods of biostatistics and epidemiology. | 1 |
 Data incorporation: | |
  Use of either probabilistic (Monte Carlo, first-order) simulation or deterministic (cohort) simulation | 1 |
  Included sensitivity analyses of key parameters. | 1 |
Validation: | |
 Internal validation: | |
  Model subjected to internal testing through input of extreme values (or equal values for replication testing) | x |
  Calibration data, where available, should be from sources independent of those used to estimate inputs | x |
  Source code available for peer-review. | x |
 Between-model validation: | |
  Models developed independently of each other, to allow convergent validity testing | x |
  Significant discrepancies in model outputs compared to other published results explained | 1 |
 External and predictive validation: | |
  Model based on the best evidence available at the time | 1 |
 Total Score (out of 18) | 11 |