What are the most effective tools for conducting mixed-methods evidence synthesis?
Mixed-methods evidence synthesis (MMES) is a research approach that combines and integrates quantitative and qualitative data from different sources and studies to answer a specific question. MMES can help researchers gain a deeper and more comprehensive understanding of complex phenomena, identify gaps and inconsistencies in the literature, and inform policy and practice decisions. However, MMES also poses many challenges, such as finding and selecting relevant studies, appraising their quality, analyzing and synthesizing diverse data, and reporting the results. To overcome these challenges, researchers need effective tools that can support them in conducting MMES. In this article, we will explore some of the most effective tools for conducting MMES, based on their features, functions, and usability.