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Archives for Global Health

How We Collect Brilliance Impact Data and WHY

Measuring impact is at the core of D-Rev’s work. Not only does user feedback help us to iterate in the design process and continually improve our products for our users, but more than that impact is the heart of our mission – it justifies our work, publishing our impact data gets you, our supporters and [...]

What We Do – and Why

Imagine a world where everyone, everywhere could have access to world-class innovation that could change – or save – lives, without the barriers of price or functionality. Those barriers are what almost always accompany medical technology, designed for high-income environments, when it arrives in most parts of the world. Until recently, ‘imagine’ was the key word in [...]

D-Rev On the Ground: The Rise of the Micro-Hospital

Life and economies are constantly evolving, especially in the low-income areas where D-Rev focuses its work, places where agility is critical for survival. Most medical devices today, however, are designed for Western hospitals – places that are large, well-powered, elevator-serviced, and reliably able to provide good, if not great, healthcare.  But that’s not reality in [...]

The Quest for Measurement & Its New Champion. Let’s leverage it.

We love that Bill Gates is banging the measurement gong. Looooove it! For those of you who may have missed it, Mr. Gates’ 2013 Annual letter came out a few days ago.  He mentioned measurement or variations of it of 38 times (compare to 23 times for innovation, last year’s theme).  His letter was preceded [...]

How Reliable Are Randomized Control Trials?

Thank you to Meg Wirth, founder of Maternova, for this entry.

Randomized control trials have long been considered the “gold standard” of medical research. RCTs are typically large-scale studies that randomly assign individuals to an intervention or control group in order to measure the positive or negative effects of the intervention.Their results are often regarded as irrefutable proof, for they compare how one group responds to a treatment against how an identical group fares without it.