Factors Influencing Successful Adoption of Health Information Systems in Ethiopia: A UTAUT Framework Analysis

Abstract

Background: The adoption of health information systems (HIS) is crucial for improving healthcare delivery in Ethiopia. Despite the potential benefits, several factors influence the successful implementation and utilization of these systems. This study utilizes the Unified Theory of Acceptance and Use of Technology (UTAUT) framework to systematically review existing literature on the determinants affecting HIS adoption in Ethiopia. Methods: A systematic review was conducted following the PRISMA guidelines. Relevant studies were identified through exhaustive searches in databases such as PubMed, Science Direct, IEEE Xplore, and Google Scholar. The inclusion criteria focused on empirical research published between 2019 and 2024 that explored factors influencing the adoption of Health Information Systems (HIS) in Ethiopian healthcare settings. Data were systematically extracted and analyzed to identify the key factors influencing HIS acceptance in Ethiopia, particularly through the lens of the Unified Theory of Acceptance and Use of Technology (UTAUT). Results: The findings suggest that performance expectancy, effort expectancy, facilitating conditions, and social influence are the primary determinants affecting HIS adoption, respectively. Addressing these key factors is crucial for improving the adoption rates of health information systems, ultimately enhancing healthcare delivery in Ethiopia. Furthermore, this research enhances understanding of how cultural, economic, and infrastructural factors influence technology acceptance in resource-limited settings. Conclusion: This study underscores the significance of key factors that significantly impact HIS adoption. Performance expectancy, effort expectancy, facilitating conditions, and social influence are the primary determinants affecting HIS adoption, respectively. These critical areas highlight what stakeholders should prioritize to increase the likelihood of successful HIS implementation. Additionally, this research contributes to a deeper understanding of how cultural, economic, and infrastructural elements shape technology acceptance in resource limited settings.