http://dissertations.umu.ac.ug/xmlui/handle/123456789/111 2026-05-04T13:51:38Z http://dissertations.umu.ac.ug/xmlui/handle/123456789/1836 A framework for integrating traditional medicine into Uganda’s national health care system Kiyimba, Lameck Traditional Medicine (TM) remains a critical component of healthcare in Uganda, with over 60% of the population, particularly in rural areas, relying on TM as a primary source of care. Despite this, TM data has largely been excluded from national health information systems, including UgandaEMR—the most widely used electronic medical records (EMR) platform covering approximately 1,900 health facilities across the country. This exclusion has resulted in incomplete health data, limited integration of culturally relevant care practices, and challenges in regulating traditional health services. The study identified multiple barriers that hinder the integration of TM data into UgandaEMR. These include gaps in policy and governance, lack of standardized data collection tools, infrastructure constraints, limited technical capacity, and socio-cultural resistance among practitioners and communities. To overcome these challenges, a practical framework for integrating TM data into HMIS was developed. The framework consists of four layers: strategic governance and planning, system assessment and development, deployment and operationalization, and change management. It emphasizes modular system design, standardization of TM data elements, interoperability with UgandaEMR, and targeted capacity-building for health facility staff and TM practitioners. These design elements ensure that the integration is scalable, contextually relevant, and technically feasible. Validation of the framework was conducted with 62 stakeholders including TM practitioners, health facility staff, EMR administrators, and policymakers confirmed the framework’s relevance and practicality. Stakeholders highlighted the adaptability of UgandaEMR, cost effective integration strategies using mobile and open-source platforms, willingness to adopt reporting tools, and moderate institutional support as key enablers. Participatory governance and culturally sensitive approaches were deemed essential to foster trust, enhance adoption, and ensure accurate documentation of TM practices. Overall, the study demonstrates that integrating TM data into UgandaEMR, supported by a structured framework and stakeholder engagement, can improve data completeness, strengthen evidence-based policy formulation, and promote equitable healthcare delivery Muganji Julius; Muganji Julius 2025-08-01T00:00:00Z http://dissertations.umu.ac.ug/xmlui/handle/123456789/1835 A framework for enhancing adoption of health care services in rural areas using mobile health technology Muganji, Julius This research proposes to design a framework for enhancing the adoption of healthcare services in rural areas through the use of mobile health (mHealth) technology. The research conducted as a case study in rural health centers within Moyo district with the aim of exploring the implementation, adoption and acceptance of mobile health technology solutions in improving healthcare delivery and accessibility to healthcare services and reducing healthcare disparities in resource-limited rural communities of Moyo district. A number of research methods such as survey questions, interviews and focus group discussions among others were used to collect data for analysis and understanding of the impact of mobile health in the district. The study identified key factors affecting the wide adoption of mHealth services among healthcare providers and patients. However; challenges such as limited infrastructures and connectivity, digital literacy, reluctant government policies and usability of the mobile systems have affected the adoption in these areas, poor mobile network coverage, poor road networks and poverty in the location of Gbwari and Afogi among others within Moyo district significantly impacted on communication and mHealth effectiveness. Additionally, responses to interviews were slow in these locations that were more affected and adoption of mHealth among some respondents was limited. Despite the identified challenges, the research findings highlight the potential of mobile Health technologies in bridging healthcare barriers, improving service delivery and health outcomes where feasible. This framework emphasized the need to address infrastructure and connectivity, prioritize user training and centered approaches and other adoption barriers for policymakers and healthcare providers with the aim of leveraging mHealth in rural communities in Uganda Muganji Julius; Muganji Julius 2025-08-01T00:00:00Z http://dissertations.umu.ac.ug/xmlui/handle/123456789/1830 A framework for adoption of cloud computing services in Uganda’s public institutions Mayengo, Tom Kizito This thesis presents a comprehensive framework for the adoption of cloud computing services within public institutions, with a focus on Kampala Capital City Authority (KCCA) in Uganda. The study integrates theoretical insights from established models such as TOE, DOI, and TAM to evaluate the multifaceted dynamics of technology adoption. Empirical data and expert opinions validate the framework's practical applicability, highlighting its potential to enhance operational efficiency, data security, and service delivery. The Structural Equation Model (SEM) evaluation revealed strong positive relationships between key components of the framework—technological readiness (coefficient of 0.41), organizational preparedness (coefficient of 0.33), regulatory and security factors (coefficient of 0.18), and perceived benefits and risks—and the level of cloud computing adoption. The research employed a mixed-methods approach, combining quantitative surveys and qualitative interviews to assess technological readiness, organizational preparedness, and regulatory and security factors, and perceived benefits and risks. Findings indicate that technological readiness is the most critical driver of successful cloud adoption, underscoring the necessity of robust IT infrastructure and technical capabilities. Organizational preparedness and regulatory factors also play significant roles, with leadership commitment, staff training, and compliance measures being crucial for a smooth transition to cloud services. The prototype testing phase demonstrated the framework's effectiveness in integrating these components, receiving positive feedback from IT staff, department heads, policymakers, and technical consultants. The study addresses the urgent need for scalable, secure, and efficient IT infrastructure to manage urban growth and service demands in Kampala. By proposing a tailored framework for cloud computing adoption, this research provides actionable solutions to overcome technological, organizational, and regulatory barriers. The framework's potential to drive digital transformation and enhance operational efficiency, data security, and service delivery is underscored by empirical data, expert opinions, and prototype testing. Ultimately, this thesis contributes to the broader digital transformation ambitions in Uganda, offering a robust and effective tool for public institutions to transition to cloud services Sarah Hanghujja; Sarah Hanghujja 2025-08-01T00:00:00Z http://dissertations.umu.ac.ug/xmlui/handle/123456789/1829 Market price prediction model for agricultural products using time series analysis Nakaima, Amina Traditional Medicine (TM) remains a critical component of healthcare in Uganda, with over 60% of the population, particularly in rural areas, relying on TM as a primary source of care. Despite this, TM data has largely been excluded from national health information systems, including UgandaEMR—the most widely used electronic medical records (EMR) platform covering approximately 1,900 health facilities across the country. This exclusion has resulted in incomplete health data, limited integration of culturally relevant care practices, and challenges in regulating traditional health services. The study identified multiple barriers that hinder the integration of TM data into UgandaEMR. These include gaps in policy and governance, lack of standardized data collection tools, infrastructure constraints, limited technical capacity, and socio-cultural resistance among practitioners and communities. To overcome these challenges, a practical framework for integrating TM data into HMIS was developed. The framework consists of four layers: strategic governance and planning, system assessment and development, deployment and operationalization, and change management. It emphasizes modular system design, standardization of TM data elements, interoperability with UgandaEMR, and targeted capacity-building for health facility staff and TM practitioners. These design elements ensure that the integration is scalable, contextually relevant, and technically feasible. Validation of the framework was conducted with 62 stakeholders including TM practitioners, health facility staff, EMR administrators, and policymakers confirmed the framework’s relevance and practicality. Stakeholders highlighted the adaptability of UgandaEMR, cost effective integration strategies using mobile and open-source platforms, willingness to adopt reporting tools, and moderate institutional support as key enablers. Participatory governance and culturally sensitive approaches were deemed essential to foster trust, enhance adoption, and ensure accurate documentation of TM practices. Overall, the study demonstrates that integrating TM data into UgandaEMR, supported by a structured framework and stakeholder engagement, can improve data completeness, strengthen evidence-based policy formulation, and promote equitable healthcare delivery. Muchake Brian 2025-08-01T00:00:00Z