Achieving COVID-19 and Routine Immunization Data Systems Integration on the Electronic Management of Immunization Data System in Nigeria.

BACKGROUND: In 2021, Nigeria developed a novel Electronic Management of Immunization Data (EMID) system to address COVID-19 data management challenges and ensure the successful implementation of its COVID-19 vaccine deployment plan. The EMID system was envisioned to be interoperable with the DHIS2 national data management system and serve as a gateway into the integration of other primary health care (PHC) service data management. However, the EMID system faced challenges, including inability to filter reports, missing or loss of data, and difficulties with data synchronization, which curtailed its potential to meet the country's needs for COVID-19 data management and negatively impacted system scalability to enable integration with other PHC data systems. METHODS: Multilayered stakeholder interviews were conducted to determine the optimal functionality requirements for the EMID system. Based on these findings, an optimization plan was designed and implemented to address identified gaps and create a more stable and scalable system to enable further system integrations. Following optimization, a routine immunization module was developed and integrated with the EMID system as a first step to achieving an integrated data management system for PHC services in Nigeria. RESULTS: The integrated system currently provides an opportunity to address data fragmentation and strengthen PHC service delivery in Nigeria. By allowing 1 health care worker to deliver both vaccinations, there is also potential for reduction in cost and redundancies, informing redistribution of the health workforce and overall system strengthening. CONCLUSION: The journey from the initial challenges faced by the EMID system to the development of an integrated system for PHC services in Nigeria has been a transformative one. Through a thorough optimization process, training and capacity-building, stakeholder-driven improvements, and an elicitation exercise, the EMID system has evolved into a powerful tool for addressing data fragmentation and enhancing public health service delivery in the country.

Cost analysis of an innovative eHealth program in Nigeria: a case study of the vaccine direct delivery system.

INTRODUCTION: Vaccine stockout is a severe problem in Africa, including Nigeria, which could have an adverse effect on vaccination coverage and even health outcomes among the population. The Vaccine Direct Delivery (VDD) program was introduced to manage vaccine stockouts using eHealth technology. This study conducts a cost analysis of the VDD program and calculates the incremental costs of reaching an additional child for vaccination through the VDD program. METHODS: We used the expense reports from eHealth Africa, an NGO which implemented the VDD program, to calculate the VDD program's overall operating costs. We also used the findings from the literature to translate the effect of VDD on the reduction of vaccine stockouts into its effect on the increase in vaccination coverage. We calculated the incremental costs of reaching an additional child for vaccination through the VDD program. RESULTS: We calculated that implementing the VDD program cost USD10,555 monthly for the 42 months that the VDD program was operating in Bauchi state. This figure translates to an incremental cost of USD20.6 to reach one additional child for vaccination. DISCUSSION/CONCLUSIONS: Our study is one of the first to conduct a cost analysis of eHealth technology in Africa. The incremental cost of USD20.6 was within the range of other interventions that intended to increase vaccine uptake in low- and middle-income countries. The VDD program is a promising technology to substantially reduce vaccine stockout, leading to a reduction of over 55% at a reasonable cost, representing 26% of the total budget for routine immunization activities in Bauchi state. However, there is no comparable costing study that evaluates the cost of a supply chain strengthening intervention. Future studies should investigate further the feasibility of eHealth technology, as well as how to minimize its costs of implementation while keeping the efficacy of the program.