Healthy life is recognized as one of the most fundamental human rights. However, even today, millions of people around the world are forced to choose between their basic needs and fundamental rights. Half of the world’s population does not have access to the healthcare they need. Universal Health Coverage (UHC) aims to ensure that all individuals receive the quality health services they need without incurring a financial burden, and to protect them from risk factors that threaten their health. The aim of this study is to identify the significant factors to improve UHC in the countries. For this purpose, house of quality (HoQ) approach is used in the analysis process so that both customer expectations and technical requirements are considered. Within this framework, a novel hybrid model has been proposed which has three different stages. Firstly, 3 groups of diseases and 4 clinical services for each group are determined regarding the customer needs. Secondly, these factors are weighted by using interval-valued intuitionistic hesitant 2-tuple fuzzy decision making and trial evaluation laboratory (DEMATEL). In the final stage, 9 different technical requirements are ranked by using interval-valued intuitionistic hesitant 2-tuple fuzzy technique for order preference by similarity to ideal solution (TOPSIS). Additionally, another evaluation has also been conducted by considering Spherical fuzzy sets. Similarly, a comparative analysis has also been performed with VIKOR while ranking the alternatives. It is concluded that analysis results of both evaluations are quite similar. This situation gives an information about the coherency and consistency of the analysis results. The findings indicate that treatment services in noncommunicable diseases play the most significant role in this respect. Moreover, according to the ranking results, it is concluded that strategic policies should be related to improving the social security and special physician capacity as well as decreasing the out-of-pocket payment.
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