Page 90 - Htain Manual
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Sensitivity analysis


                       Sensitivity analysis is a way to address the extent of uncertainty in the results and

               outcomes of an economic evaluation arising due to underlying assumptions (both in model
               structure  and  methods),  precision  of  the  parameter  estimates  and  generalizability.

               Methodological  uncertainty  pertains  to  disparities  in  the  choice  of  methods  used  in  an

               economic evaluation related to assessment of costs, health consequences, quality of life,

               perspective, etc. Similarly, uncertainties arising due to underlying assumptions and scientific

               arguments made while designing and interpreting the structure of a decision analytic model
               are defined as model structure uncertainty. Parameter uncertainty refers to ambiguity related

               to  the  true  value  of  model  parameters  such  as  relative  risk,  survival  rates,  transition

               probabilities, etc. Generalizability relates to extent to which the results of a cost effectiveness
               analysis  can  be  applied  to  different  settings  in  terms  of  different  geographical  regions,

               population groups, etc.



                        There  are  two  basic  types  of  sensitivity  analysis  approaches  i.e.,  Deterministic

               sensitivity analysis (DSA) and probabilistic sensitivity analysis (PSA). Deterministic sensitivity
               analysis is carried out to assess that how the results of an economic evaluation are sensitive

               to variation or change in values of certain parameters. For example, a parameter value is

               changed from upper to lower bounds to see how sensitive the ICER value is with respect to
               the change in specific parameters.



                       Generally there are three main types of DSA used in health economic evaluations i.e.,

               one way or univariate, two-way or bivariate and multi-way or multivariate sensitivity analysis.

               The traditional univariate sensitivity analysis tries to examine the change in an ICER by varying
               the value of one variable at a time and holding all other parameters constant. Similarly, in

               two-way  and  multi-way  analysis  the  value  of  two  or  more  parameters  are  changed

               simultaneously and its impact on ICER is seen.


                       A sub-type of one-way sensitivity analysis is threshold analysis. Under this, the value

               of a certain parameter is varied over a range and a level is determined, below or above which

               the conclusion of the study changes. For example, a threshold analysis can be undertaken to



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