Background: Discussions on the use of digital health to advance health have continued to gain traction over the past decades. This is important considering the rising penetration of mobile phones and other digital technologies and the opportunity to leverage those digital and electronic health methods and innovations to accelerate Universal Health Coverage (UHC) and the health Sustainable Development Goals (SDGs). In Nigeria, however, the full benefits of digital technologies to strengthen the health systems are yet to be fully harnessed due to critical challenges in the sector. These challenges include but not limited to weak health systems governance, weak infrastructural investments, inadequate resources, weak human resource capacity, high cost of scaling-up and coordination issues among others. Lack of systems thinking, and design have significant impact on coordination of efforts and has resulted in the fragmentation and non-interoperability among various applications. To discuss these challenges and propose the way forward for rapid sustainable, scalable and cost-effective deployment of digital health in Nigeria, a digital health capacity development workshop was held in Abuja and across the six geo-political zones of Nigeria from 20th-30th November 2019. This paper documents key conclusions and achievements at the workshop. Methods: The workshop was organized around eleven modules and seven thematic areas which explored the Nigerian digital health governance and coordinating mechanisms in view of its status, leadership, financing and deployment for effective service delivery. It was attended by over 100 participants from varied background including Ministries of Health, Ministries of Communications and Digital Economy, International Organizations, Operators, Civil Society, Academia and Private Sector Experts.
The African region is experiencing peculiar demographic, economic, social and environmental challenges that place pressures on the health systems. While the need to explore ways to address identified health systems challenges is far from easy, there are substantial evidence that having robust frameworks and metrics to direct efforts and priorities of countries could be rewarding. In view of persisting regional health systems' challenges the World Health Organization African regional office proposed the adoption of a comprehensive health system strengthening action framework that provides an opportunity to translate global health policy into operational strategies for Africa's health sector policies, strategies and operations. The adoption of the action framework could support the realization of regional health objectives and priorities, and guide movement toward sustainable developments in countries.
BackgroundWhile multiple studies have documented the impacts of mobile phone use on TB health outcomes for varied settings, it is not immediately clear what the spatial patterns of TB treatment completion rates among African countries are. This paper used Exploratory Spatial Data Analysis (ESDA) techniques to explore the clustering spatial patterns of TB treatment completion rates in 53 African countries and also their relationships with mobile phone use. Using an ESDA approach to identify countries with low TB treatment completion rates and reduced mobile phone use is the first step toward addressing issues related to poor TB outcomes.MethodsTB notifications and treatment data from 2000 through 2015 that were obtained from the World Bank database were used to illustrate a descriptive epidemiology of TB treatment completion rates among African health systems. Spatial clustering patterns of TB treatment completion rates were assessed using differential local Moran's I techniques, and local spatial analytics was performed using local Moran's I tests. Relationships between TB treatment completion rates and mobile phone use were evaluated using ESDA approach.ResultSpatial autocorrelation patterns generated were consistent with Low-Low and High-Low cluster patterns, and they were significant at different p-values. Algeria and Senegal had significant clusters across the study periods, while Democratic Republic of Congo, Niger, South Africa, and Cameroon had significant clusters in at least two time-periods. ESDA identified statistically significant associations between TB treatment completion rates and mobile phone use. Countries with higher rates of mobile phone use showed higher TB treatment completion rates overall, indicating enhanced program uptake (p < 0.05).ConclusionStudy findings provide systematic evidence to inform policy regarding investments in the use of mHealth to optimize TB health outcomes. African governments should identify turnaround strategies to strengthen mHealth technologies and improve outcomes.
IntroductionDespite health applications becoming ubiquitous and with enormous potential to facilitate self-management, regulatory challenges such as poor application quality, breach of data privacy and limited interoperability have impeded their full adoption. While many countries now have digital health-related policies/strategies, there is also a need for regulatory standards and guidance that address key regulatory challenges associated with the use of health applications. Currently, it is unclear the status of countries in Africa regarding regulatory standards and guidance that address the use of health applications.This protocol describes the process of conducting a scoping review which aims to investigate the extent to which regulatory standards and guidance address the use of health applications for self-management within the WHO African Region countries.MethodsThe review will follow the methodological framework for conducting a scoping study by Arksey and O’Malley (2005), and the updated methodological guidance for conducting a Joanna Briggs Institute (JBI) scoping review. Given that regulatory standards and guidance are unlikely to be available in scientific databases, we will search Scopus, Google, OpenGrey, WHO Regional Office for Africa Library (AFROLIB), African Index Medicus (AIM), websites of WHO, ITU and Ministries of Health, repositories for digital health policies. We will also search the reference lists of included documents, and contact key stakeholders in the region. Results will be reported using descriptive qualitative content analysis based on the review objectives. The policy analysis framework by Walt and Gilson (1994) will be used to organise findings. A summary of the key findings will be presented using tables, charts and maps.Ethics and disseminationThe collection of primary data is not anticipated in this study and hence ethical approval will not be required. The review will be published in a peer-reviewed journal while key findings will be shared with relevant organisations and/or presented at conferences.
Background: While multiple studies have documented the impacts of mobile phone use on TB health outcomes for varied settings, it is not immediately clear what the spatial patterns of TB treatment completion rates among African countries are. This paper used Exploratory Spatial Data Analysis (ESDA) techniques to explore the clustering spatial patterns of TB treatment completion rates in 53 African countries as well as their relationships with mobile phone use. Using an ESDA approach to identify countries with low TB treatment completion rates and reduced mobile phone use is the first step towards addressing issues related to poor TB outcomes. Methods: TB notifications and treatment data from 2000 through 2015 obtained from the World Bank database were used to illustrate a descriptive epidemiology of TB treatment completion rates among African health systems. Spatial clustering patterns of TB treatment completion rates were assessed using differential local Moran’s I techniques; and local spatial analytics was performed using local Moran’s I tests. Relationships between TB treatment completion rates and mobile phone use were evaluated using ESDA approach. Results: Spatial autocorrelation patterns generated were consistent with Low-Low and High-Low cluster patterns and were significant at different p-values. Algeria and Senegal had significant clusters across the study periods, while Democratic Republic of Congo, Niger, South Africa, and Cameroon had significant clusters in at least two time-periods. ESDA identified statistically significant associations between TB treatment completion rates and mobile phone use. Countries with higher rates of mobile phone use, showed higher TB treatment completion rates overall, indicating enhanced program uptake (P < 0.05). Conclusions: Study findings provide systematic evidence to inform policy regarding investments in the use of mHealth to optimize TB health outcomes. African governments should identify turnaround strategies to strengthen mHealth technologies and improve outcomes.
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