ArticleMedical research archives2025
REVIEW AND RECOMMENDATIONS FOR HEALTH INFORMATICS IN SUB-SAHARAN AFRICAN COUNTRIES: BETWEEN OPPORTUNITIES AND CHALLENGES.
Article in Medical research archives, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Background: There is a wide-reaching consensus that health should be a priority in national development plans. This is why the Sustainable Development Goal (SDG) 3 is aimed at securing good health for all. If the SDG 3 is to be a reality, there is a need to consider alternatives to the present traditional health system in sub-Saharan African countries. The implementation of health informatics, which is currently the focus of attention in the health sector, presents a huge opportunity with the potential to revolutionize the health systems of developing nations, particularly those in sub-Saharan Africa. In addition to reducing child mortality and infant death rates, providing high-quality healthcare in the region will help combat the challenges posed by preventable diseases and premature deaths that affect many sub-Saharan countries. Ensuring the quality of healthcare also depends on improving information quality, as accurate, timely, and reliable data are essential for effective decision-making and patient care. If the Sustainable Development Goals (SDG) is to be achieved, this issue must be addressed. Methods: This study reviews research on health information systems in sub-Saharan Africa. The search used medical databases (PubMed and Scopus) and found articles with keywords like "health," "information," "Africa," and "informatics." It also focused on both benefits and challenges of digital health systems in sub-Saharan Africa. The articles were categorized into health information's potential benefits, its application, and barriers and opportunities to set up these systems. This review summarizes the current state of health technology in sub-Saharan Africa, identifies key trends and research gaps, and provides useful insights for health workers, governments, and NGOs. Results: Studies show that health informatics implementation in sub-Saharan Africa is still far behind where it should be. This analysis uncovers challenges in the deployment of health informatics into the health sector. It identifies infrastructure as well as other limitations and how they can be overcome to help enable the realization of quality healthcare in the region. This will improve the quality of healthcare information, helping to facilitate effective healthcare delivery. Documenting the insufficient current status of healthcare informatics in the health sectors of SSA countries' health systems helps to highlight the potential contribution that informatics can make to health care in the region. Conclusion: The findings help provide a baseline of current knowledge to support efforts to implement health informatics in sub-Saharan Africa.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.