Cargando…

Creating equity in health research to drive more and better evidence

Health research is rapidly changing with evidence being gathered through new agile methods. This evolution is critical but must be globally equitable so the poorest nations do not lose out. We must harness this change to better tackle the daily burden of diseases that affect the most impoverished po...

Descripción completa

Detalles Bibliográficos
Autores principales: Lang, Trudie, Reeder, John, Moorthy, Vasee, Trindade Lima, Nísia, Gray, Glenda, Kaleebu, Pontiano, Ihekweazu, Chikwe, Nsanzimana, Sabin, Kang, Gagandeep, Makanga, Michael, Swaminathan, Soumya
Formato: Online Artículo Texto
Lenguaje:English
Publicado: F1000 Research Limited 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10685064/
https://www.ncbi.nlm.nih.gov/pubmed/38031536
http://dx.doi.org/10.12688/wellcomeopenres.17287.1
Descripción
Sumario:Health research is rapidly changing with evidence being gathered through new agile methods. This evolution is critical but must be globally equitable so the poorest nations do not lose out. We must harness this change to better tackle the daily burden of diseases that affect the most impoverished populations and bring research capabilities to every corner of the world so that rapid and fair responses to new pathogen are possible; anywhere they appear. We must seize this opportunity to make research easier, better and more equitable. Currently too many nations are unable to generate the evidence or translate it to directly change health outcomes in their own communities. It is essential to act and harness this emerging change in how research data can be generated and shared, so that all nations sustainably gain from this development. There are positive examples to draw on from COVID-19, but we now need to act. Here we present an initiative to develop a new framework that can guide researchers in the design and execution of their studies. This highly agile system will work by adapting to risk and complexity in any given study, whilst generating quality, safe and ethical data.