ReviewEcancermedicalscience2021
Using advanced information and communication technologies to advance oncology education in Africa.
Review in Ecancermedicalscience, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Unleashing potential: assessing Africa's readiness for the data science revolution to impact health.Nature communications · 2026Review
- Cancer in sub-Saharan Africa: a Lancet Oncology Commission.The Lancet. Oncology · 2022Review
- Virtual Mentoring for Medical Physicists: Results of a Global Online Survey.Journal of medical physicsArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundRecent work has highlighted the tremendous potential of information and communication technologies (ICTs) in advancing global oncology education, research and care. The COVID-19 pandemic has made the development of effective approaches for online education even more crucial. Here we assessed the readiness, interest and potential models for effective implementation of ICT-powered oncology education in Africa.
methodsBuilding on previous work by the African Organisation for Research and Training in Cancer (AORTIC), a survey was conducted to assess the electronic learning (e-Learning) readiness of oncology health professionals using an online self-assessment tool. Components of e-Learning readiness assessed include access to computers, Internet, appropriate bandwidth and interest. As a practical test model, an ICT resource-intensive radiation oncology training programme was implemented via the Global Oncology University (GO-U) collaborative education platform. An analysis of results, challenges and opportunities resulting from these is discussed for advancing online oncology education in Africa.
resultsThe survey showed over 92% of health professionals have access to computers, laptops or other technology that can allow them to participate in online education. Over 45% of oncology health professionals have already participated in some form of online education. Interest in online education was over 93%. Models for effective online learning in oncology include synchronous and asynchronous short-term courses for continuous education and long-term degree and residency programmes. There was a significant increase in skills level following the collaborative radiation oncology training model used by the GO-U platform.
conclusionAfrica has the capacity to implement successful e-Learning in oncology, which is consistent with findings in previous work such as the AORTIC. Greater investment by institutions and governments is needed in terms of resources and policy changes to facilitate the implementation of effective online oncology training. Purposeful engagement of diaspora oncology health professionals with relevant cultural backgrounds as with some current collaborative efforts is highly recommended in helping turn brain drain into brain circulation.
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Identifiers
What OpenQuestion holds
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.