ReviewHuman resources for health2020
Medical training for universal health coverage: a review of Cuba-South Africa collaboration.
Review in Human resources for health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 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
7 citing papers in PubMed.
- Exploring factors influencing medical specialty choice among undergraduates in The Gambia: a situated expectancy-value theory approach.BMC medical education · 2026Article
- Health workforce issues and recommended practices in the implementation of Universal Health Coverage in the Philippines: a qualitative study.Human resources for health · 2025Article
- Programme administrators' views on barriers in the Cuban-South African medical collaboration at UKZN.Health SA = SA Gesondheid · 2025Article
- Investing in health workers: a retrospective cost analysis of a cohort of return-of-service bursary recipients in Southern Africa.BMJ global health · 2024Article
- Development, Objectives and Operation of Return-of-Service Bursary Schemes as an Investment to Build Health Workforce Capacity in South Africa: A Multi-Methods Study.Healthcare (Basel, Switzerland) · 2023Review
- Developing a capacity building training model for public health managers of low and middle income countries.PloS one · 2023Article
- Cuba: Solidarity, Ebola and COVID-19.BMJ paediatrics open · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Achieving improvements in Universal Health Coverage will require a re-orientation of medical education towards a stronger focus on primary health care. Innovative medical curricula have been implemented in some countries, but in many low- and middle-income countries (LMICs), the emphasis remains focused on hospital and speciality services. Cuba has a long history of supporting LMICs and has made major contributions to African health care and medical training. A scheme for training South African students in Cuba was established 20 years ago and expanded more recently, with around 700 Cuban-trained graduates returning to South Africa each year from 2018 to 2022. The current strategy is to re-orientate and re-train these graduates in South African medical schools for up to 3 years as they are perceived to have inadequate skills. This negative narrative on Cuban-trained doctors in South Africa could be changed dramatically. They have highly appropriate skills in primary care and prevention and could provide much needed services to rural and urban under-served populations whilst gaining an orientation to the health problems of South Africa and strengthening their skills. Bilateral arrangements between South Africa and the United Kingdom are providing mechanisms to support such schemes. The Cuban approach to medical education may have lessons for many countries attempting to meet the challenges of Universal Health Coverage.
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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.