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 HEALTHCARE DOES NOT ALWAYS LEAD TO IMPROVED HEALTH

Over the past two decades, the world has come to realize that in order for healthcare to improve population health, it must be safe, effective, and tailored to the needs of individuals. Yet, the quality of care that the world’s citizens receive is not as good as it can and should be:

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As we work toward universal access to healthcare, let’s make sure we never fail to question: “Access to what?’

We know care is often unsafe, leading to millions of lives lost due to medical errors and adverse events. However, we still don’t have reliable data, especially from low and middle income countries, about how best to improve care. We need better evidence, not just to understand the scope of the problem, but also, how we might address these challenges. We are working to centralize international health system data as well as support empirical work in this area. 

We all agree that quality is important – but what is it? How do we define it? And most importantly, how might we make it better? Understanding the intricacies of healthcare quality can be a challenge. We hope to provide a baseline curricula and platform for people and organizations to share actionable educational materials. Our core effort towards this end is a free edX course: Improving Global Health, Focusing on Quality & Safety. The course is currently in session, join us today!

Improving the quality of care that the world receives requires a community of dedicated clinicians, researchers, policy makers, patients, and activists.  We aim to engage and strengthen a dynamic community of people working to improve care throughout the globe, and ensure that our work is responsive to their needs. To do so, we will have a series of ways for people to put their heads together and actively contribute: a seminar series, online community, research output and more.

* Disability Adjusted Life Years; Source: Jha AK, Larizgoitia I, Audera-Lopez C, Prasopa-Plaizier N, Waters H, Bates DW. The global burden of unsafe medical care: analytics modelling of observational studies. BMJ Qual Saf 2013; 22:809-815.

Cover photo, credit: MINDS Foundation