PD46 Multi-Criteria Decision Analysis In Healthcare: Scientometric And Bibliometric Analysis

Introduction Multi-criteria decision analysis (MCDA) is a useful tool in complex decision-making situations and has been used medical fields to evaluate treatment options drug selection. We aimed provide valuable insights on the use of MCDA health care through examining research focus existing studies, major fields, applications, most productive authors countries, common journals domain using scientometric bibliometric analysis. Methods Publications related were identified by searching Web Science Core Collection 14 July 2021. Three software programs (VOSviewer, Bibliometrix, CiteSpace) conduct Results A total 410 publications from 196 academic (average yearly growth rate 32% 1999 2021), with 23,637 co-cited references 871 institutions 70 countries or regions. The USA was country (n=80), while Universiti Pendidikan Sultan Idris (n=16), Université de Montréal (n= 13), Syreon Research Institute (n=12) institutions. biggest nodes every cluster author networks Aos Alaa Zaidan, Mireille Goetghebeur, Zoltan Kalo. top terms number articles (n=17) citations (n=1,673) Value Health Journal Medical Systems, respectively. hotspots mainly included analytic hierarchy process (AHP), decision-making, technology assessment, healthcare waste management. In recent literature there more emphasis coronavirus disease 2019 (COVID-19) fuzzy Technique for Order Preference Similarities Ideal Solution (TOPSIS). Big data, telemedicine, TOPSIS, AHP, which are well-developed important themes, may be trends future research. Conclusions This study provides holistic picture MCDA-related published care. broad application different topic areas would helpful practitioners, researchers, makers working when faced decisions. It can argued that door still open improving role care, both its technologies application.