Interpretation of OR, RR, HR, and NNT/NNH Analysis

Prof. Mary Ferrill summarizes how to interpret an OR, RR, and an HR.

First, if the outcome is negative, we want to see that the results of the treatment group should be less than one because that would be considered protective and make fewer patients to experience this bad risk.

On the contrary, if the outcome is positive, we want the number to be greater than one since more people experience that good effect.

Besides, she took a good MOA outcome for an example. We should consider a benefit ratio rather than a risk ratio in a good outcome.

Next, we need to understand the 6 steps of an NNT/NNH statement.

Finally, we can learn how to assess NNT/NNH possibilities with the algorithmic diagram.

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