Why Everyone Needs Treatment Scores

People in general, including physicians, nurses, and other medical professionals do not understand medical treatments. The medical literature is too complex, too disorganized, and too hard to interpret.

Researchers studied 531 physicians and 60 - 80% of the physicians could not correctly identify the magnitude of treatment effects.
(Source: "Do clinicians understand the size of treatment effects? A randomized survey across 8 Countries." Bradley C. Johnston, Pablo Alonso-Coello, et al. October, 2015. http://www.cmaj.ca/content/early/2015/10/26/cmaj.150430)

This confusion filters down through the entire medical industry. When the majority of physicians can't understand treatments, this probably means that nearly 100% of patients don't understand treatment effects.

Here is a list of "gobbledygook." It is a list of treatment effect statistics used in medical studies:
  • Risk Difference
  • Relative Risk
  • Relative Risk Ratio
  • Ratio of Means
  • Standardized Mean Difference
  • Experimental Event Rate 
  • Control Event Rate  
  • Relative Benefit Increase  
  • Number Needed to Treat
  • Absolute Benefit Increase
The study of 531 physicians, mentioned above, actually says this: "Presenting results as a standardized mean difference, the longest standing and most widely used approach, was poorly understood and perceived as least useful."

We need to end this confusion by using Treatment Scores.

Follow Treatment Scores:

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