Abstract
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.
Highlights
Reviewer Status AWAITING PEER REVIEW Any reports and responses or comments on the article can be found at the end of the article
The inequity in who benefits from Health Research We need to support an increase in the quality, volume and diversity of research across all nations and epidemiological settings to improve outcomes through better surveillance and diagnostics, risk factor determination, new prevention, treatment and management strategies and better understanding of the genetic, social and economic drivers of poor health in all settings
It would be useful to have a globally accepted definition and as such, we present this for comment: Health Research is the assessment of biomedical or healthrelated outcomes that are either observational or interventional with and where the intention of collecting these data is to derive generalisable new knowledge
Summary
Reviewer Status AWAITING PEER REVIEW Any reports and responses or comments on the article can be found at the end of the article. This highly agile system will work by adapting to risk and complexity in any given study, whilst generating quality, safe and ethical data.
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