OP102 Multiple Criteria Decision Analysis In The Field Of Hospital-Based Health Technology Assessment

Abstract

Introduction:One of the main tools for Hospital-Based Health Technology Assessment (HB HTA) is the preparation of a mini-health technology assessment (HTA) report. Despite the high value of the results of mini-HTA reports for hospital decision-makers, the classical mini-HTA report does not allow a direct comparison of several health technologies among themselves.Methods:Based on the analysis of international experience of using the principles of multiple-criteria decision analysis (MCDA) in the field of HB HTA, we created and approved our own managerial decision-making model which includes five standardized multiple criteria. The value (weight) of each criterion was defined as the arithmetic mean obtained as a result of interviewing hospital decision-makers and an HTA expert group.Results:Five standardized multiple criteria were included in the structure of our mini-HTA report. These criteria presented the main results of assessment of the viability of implementing new health technologies (HTs) in hospital practice and contain the following: i) Novelty/innovation; ii) Comparative clinical effectiveness and safety; iii) Relevance (demand); iv) Economic effectiveness; and, v) Payback period. We conducted the modeling of various options of HTA results by using multiple criteria, which allowed us to determine the threshold values of the evaluated HTs corresponding to their priority for implementation: i) High priority - HTs are recommended for implementation; ii) Medium priority - HTs can be recommended only if there are sufficient financial resources in hospital; and, iii) Low priority - HTs may be recommended only if there are strong reasons for their need.Conclusions:Integration of the principles of MCDA in the structure of mini-HTA reports gives the opportunity to i) make comparative assessments of implementing new health technologies based on standardized criteria; ii) determine the priority for implementation of newly evaluated health technologies; iii) avoid the influence of subjective factors on the managerial decision-making in hospitals.