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Table 6 Quality assessment results of economic modelling studies included in the systematic review

From: Endoscopic ultrasound staging in patients with gastro-oesophageal cancers: a systematic review of economic evidence

Quality Criterion

Philips et al’ economic modelling checklist questionsa

Response

(√, x, NC or NA)

Studies (author and year)

Hadzijahic et al. (2000) [29]

Harewood et al. (2002) [30]

Wallace et al. (2002) [31]

S1

Is there a clear statement of the decision problem?

√

√

√

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

√

√

√

Is the primary decision-maker specified?

NC

√

√

S2

Is the perspective of the model stated clearly?

x

√

√

Are the model inputs consistent with the stated perspective?

NC

√

√

Has the scope of the model been stated and justified?

√

√

√

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

√

√

√

S3

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

√

√

√

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

√

√

√

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

NA

NA

NA

S4

Are the structural assumptions transparent and justified?

√

√

√

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

√

√

√

S5

Is there a clear definition of the options under evaluation?

√

√

√

Have all feasible and practical options been evaluated?

√

√

√

Is there justification for the exclusion of feasible options?

NA

NA

NA

S6

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

√

√

√

S7

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

x

x

X

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

x

x

X

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?

√

√

√

S9

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

NA

NA

NA

D1

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

√

NC

√

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

NA

√

√

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

√

√

X

Has the quality of the data been assessed appropriately?

x

x

x

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

NA

NA

x

D2

Is the data modelling methodology based on justifiable statistical and epidemiological techniques?

√

NC

√

D2a

Is the choice of baseline data described and justified?

√

√

√

Are transition probabilities calculated appropriately?

NA

NA

NA

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

NA

NA

NA

If not, has this omission been justified?

NA

NA

NA

D2b

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

NA

NA

NA

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

NA

NA

NA

Have alternative assumptions been explored through sensitivity analysis?

√

√

√

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

NA

NA

NA

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

NA

NA

NA

D2c

Are the costs incorporated into the model justified?

√

√

√

Has the source for all costs been described?

√

√

√

Have discount rates been described and justified given the target decision-maker?

NC

NA

√

D2d

Are the utilities incorporated into the model appropriate?

NA

NA

√

Is the source for the utility weights referenced?

NA

NA

X

Are the methods of derivation for the utility weights justified?

NA

NA

X

D3

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

NC

√

√

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

NC

NC

√

Is the process of data incorporation transparent?

√

x

X

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

NA

NA

NA

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

NA

NA

NA

D4

Have the four principal types of uncertainty been addressed?

x

x

X

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

x

x

X

D4a

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

x

x

X

D4b

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

x

x

X

D4c

Has heterogeneity been dealt with by running the model separately for different subgroups?

x

x

x

D4d

Are the methods of assessment of parameter uncertainty appropriate?

√

√

√

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

NC

√

√

C1

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

x

x

x

C2

Are any counterintuitive results from the model explained and justified?

NA

NA

NA

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

NA

NA

NA

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

x

x

x

Score, ratioâ„¢ (%)

21/38 (55%)

24/38 (63%)

28/43 (65%)

  1. NA Not Applicable, NC Not Clear
  2. aAvailable from [20]: Philips Z, Ginnelly L, Sculpher M, Claxton K, Golder S, Riemsma R, Woolacott N and Glanville J. Review of guidelines for good practice in decision-analytic modelling in health technology assessment. Health Technol Assess 2004;8(36)
  3. ™Ratio = b/a, where b = sum of tick; a = sum of items (excluding ‘NA’ items)