Number needed to harm: Difference between revisions

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imported>Supten Sarbadhikari
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The '''number needed to harm (NNH)''' is an epidemiological measure that indicates how many patients need to be exposed to a risk-factor to cause harm in one patient that would not otherwise have been harmed. It is defined as the inverse of the attributable risk. Intuitively, the lower the number needed to harm, the worse the risk-factor.
The '''number needed to harm (NNH)''' is an epidemiological measure that indicates how many patients need to be exposed to a risk-factor to cause harm in one patient that would not otherwise have been harmed. It is defined as the inverse of the attributable risk. Intuitively, the lower the number needed to harm, the worse the risk-factor.
This is calculated in the same way as for [[NNT]], but used to describe adverse events. For NNH, large numbers are good, because they mean that adverse events are rare. Small values for NNH are bad, because they mean adverse events are common <ref name="titleNumber needed to harm (NNH)">{{cite web |url=http://www.jr2.ox.ac.uk/bandolier/booth/glossary/NNH.html |title=Number needed to harm (NNH) |accessdate=2008-03-26 |format= |work=}}</ref>.
This is calculated in the same way as for [[Nnt|NNT]], but used to describe adverse events. For NNH, large numbers are good, because they mean that adverse events are rare. Small values for NNH are bad, because they mean adverse events are common <ref name="titleNumber needed to harm (NNH)">{{cite web |url=http://www.jr2.ox.ac.uk/bandolier/booth/glossary/NNH.html |title=Number needed to harm (NNH) |accessdate=2008-03-26 |format= |work=}}</ref>.


==References==
==References==
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Revision as of 23:22, 26 March 2008

The number needed to harm (NNH) is an epidemiological measure that indicates how many patients need to be exposed to a risk-factor to cause harm in one patient that would not otherwise have been harmed. It is defined as the inverse of the attributable risk. Intuitively, the lower the number needed to harm, the worse the risk-factor. This is calculated in the same way as for NNT, but used to describe adverse events. For NNH, large numbers are good, because they mean that adverse events are rare. Small values for NNH are bad, because they mean adverse events are common [1].

References

  1. Number needed to harm (NNH). Retrieved on 2008-03-26.