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Table 2 Reporting standards for modelling studies [19]

From: What do we know about managing Dupuytren’s disease cost-effectively?

Quality criteria

Question(s) for critical appraisal

Yes

No

YES/NO

?

Not applicable

Structure (S)

 S1

Is there a clear statement of the decision problem?

4

    

Is the objective of the evaluation and model specified and consistent with the stated decision problem?

4

    

Is the primary decision maker specified?

 

4

   

 S2

Is the perspective of the model stated clearly?

4

    

Are the model inputs consistent with the stated perspective?

2

1

 

1

 

Has the scope of the model been stated and justified?

2

 

2

  

Are the outcomes of the model consistent with the perspective, scope and overall objective of the model?

3

1

   

 S3

Has the evidence regarding the model structure been described?

Is the structure of the model consistent with a coherent theory of the health condition under evaluation?

4

    

Are the sources of data used to develop the structure of the model specified?

4

    

Are the causal relationships described by the model structure justified appropriately?

 

4

   

 S4

Are the structural assumptions transparent and justified?

3

 

1

  

Are the structural assumptions reasonable given the overall objective, perspective and scope of the model?

4

    

 S5

Is there a clear definition of the options under evaluation?

4

    

Have all feasible and practical options been evaluated?

 

4

   

Is there justification for the exclusion of feasible options?

 

4

   

 S6

Is the chosen model type appropriate given the decision problem and specified causal relationships within the model?

3

 

1

  

 S7

Is the time horizon of the model sufficient to reflect all important differences between options?

3

  

1

 

Is the time horizon of the model, the duration of treatment and the duration of treatment effect described and justified?

2

1

1

  

 S8

Do the disease states (state transition model) or the pathways (decision tree model) reflect the underlying biological process of the disease in question and the impact of interventions?

4

    

 S9

Is the cycle length defined and justified in terms of the natural history of disease?

1

 

1

 

2

DATA (D)

 D1

Are the data identification methods transparent and appropriate given the objectives of the model?

4

    

Where choices have been made between data sources, are these justified appropriately?

3

   

1

Has particular attention been paid to identifying data for the important parameters in the model?

4

    

Has the process of selecting key parameters been justified and systematic methods used to identify the most appropriate data?

3

1

   

Has the quality of the data been assessed appropriately?

 

4

   

Where expert opinion has been used, are the methods described and justified?

1

   

3

 D2

Is the pre-model data analysis methodology based on justifiable statistical and epidemiological techniques?

 

3

 

1

 

 D2a

Is the choice of baseline data described and justified?

2

2

   

Are transition probabilities calculated appropriately?

2

   

2

Has a half cycle correction been applied to both cost and outcome?

1

 

1

 

2

If not, has this omission been justified?

 

1

  

3

 D2b

If relative treatment effects have been derived from trial data, have they been synthesised using appropriate techniques?

 

1

  

3

Have the methods and assumptions used to extrapolate short-term results to final outcomes been documented and justified?

2

1

1

  

Have alternative extrapolation assumptions been explored through sensitivity analysis?

2

2

   

Have assumptions regarding the continuing effect of treatment once treatment is complete been documented and justified?

3

1

   

Have alternative assumptions regarding the continuing effect of treatment been explored through sensitivity analysis?

1

3

   

 D2c

Are the utilities incorporated into the model appropriate?

  

1

3

 

Is the source for the utility weights referenced?

3

1

   

Are the methods of derivation for the utility weights justified?

2

2

   

 D3

Have all data incorporated into the model been described and referenced in sufficient detail?

3

 

1

  

Has the use of mutually inconsistent data been justified (i.e. are assumptions and choices unclear appropriate)?

    

4

Is the process of data incorporation transparent?

3

 

1

  

If data have been incorporated as distributions, has the choice of distribution for each parameter been described and justified?

  

2

 

2

If data have been incorporated as distributions, is It clear that second order uncertainty is reflected?

 

2

  

2

 D4

Have the four principal types of uncertainty been addressed?

1

3

   

If not, has the omission of particular forms of uncertainty been justified?

 

3

  

1

 D4a

Have methodological uncertainties been addressed by running alternative versions of the model with different methodological assumptions?

1

3

   

 D4b

Is there evidence that structural uncertainties have been addressed via sensitivity analysis?

1

3

   

 D4c

Has heterogeneity been dealt with by running model separately for different sub-groups?

1

3

   

 D4d

Are the methods of assessment of parameter uncertainty appropriate?

4

    

If data are incorporated as point estimates, the ranges used for sensitivity analysis stated clearly and justified?

2

 

1

 

1

Consistency (C)

 C1

Is there evidence that the mathematical logic of the model has been tested thoroughly before use?

2

2

   

 C2

Are the conclusions valid given the data presented?

4

    

Are any counterintuitive results from the model explained and justified?

2

   

2

If the model has been calibrated against independent data, have any differences been explained and justified?

1

   

3

Have the results of the model been compared with those of previous models and any differences in results explained?

2

2