PP100 Unraveling Hospital-Based Health Technology Assessment In Brazil

Abstract

IntroductionIn Brazil, hospital-based health technology assessment (HB-HTA) units have been implemented countrywide since early 2000 to improve decision-making processes. Multiple-criteria decision analysis (MCDA) can provide a deeper understanding of a given subject. The present study used MCDA to evaluate capacity building among HB-HTA units in Brazil.MethodsThis study analyzed preliminary data from a survey developed and sent to all HB-HTA units in Brazil in 2018. The survey comprised 116 questions covering a wide range of aspects. Initially, an expert panel was organized, and 46 objective questions (out of 116) were selected by four experts. Next, these experts classified the selected questions by weighting them according to their relative importance. A Likert scale was used to identify the levels of importance, which were converted to weights ranging from zero to one. The experts then defined a final importance score threshold of 60 percent to classify units as fully operational. Grades below this threshold indicated the need for a more detailed evaluation. Of the 80 survey questionnaires, 23 were evaluated by the proposed method.ResultsImportance weights for each classification were defined as follows: personnel (25%); level of expertise (31%); work production (31%); and infrastructure (13%). The mean final importance score for the HB-HTA units was 68 percent. The maximum and minimum scores achieved were 95 percent and 15 percent, respectively. The HB-HTA units had been established for an average of 6 years, and ten of the 23 units were classified as fully operational.ConclusionsThe multicriteria method presented by this study simplified HB-HTA unit evaluation, reducing the subjectivity of results. Final importance scores for each unit's categories indicated which areas need improvement. Results from the study indicated that infrastructure and personnel could be greatly enhanced, even though the production profile was satisfactory.