This three-year study (2018-2022) represented one of the most comprehensive studies assessing the social and economic impacts of digital identification (DID) systems across East Africa, focusing on Uganda, Kenya, and Tanzania. The study was funded by USAID and implemented in collaboration with researchers from Makerere University School of Public Health-ResilientAfrica Network (RAN), University of Nairobi, as well as Muhimbili University of Health and Allied Sciences.

The research adopted a mixed-methods approach to examine both the anticipated benefits and unanticipated consequences of DID implementation, with particular attention of access of these services to marginalized populations. This study conducted comparative analyses across the three countries with different DID system maturity levels, implementation approaches, and regulatory frameworks, analyzing its benefits and bottlenecks. The research design included quantitative surveys with over 3,000 households across urban and rural settings, qualitative case studies of DID application in specific sectors (healthcare, social protection, financial services), and institutional analyses of government and private sector entities implementing DID systems.

The key findings revealed significant variation in DID impacts based on implementation quality, digital literacy levels, and integration with existing systems. The study documented positive deviant cases where DID systems dramatically improved service delivery efficiency and financial inclusion, particularly in Kenya’s Huduma Namba system and Uganda’s national ID program. However, the research also identified significant bottlenecks: digital literacy gaps emerged as a critical barrier to realizing DID benefits, especially among elderly and rural populations; privacy concerns and data protection weaknesses limited public trust in some systems; and technical integration challenges created new forms of exclusion for populations with inconsistent identity documentation. The “double-bottom-line” framework allowed the researchers to analyze both social impacts (access to services, social inclusion, empowerment) and economic impacts (transaction costs, productivity, market access) simultaneously.