NNH Formula:
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Definition: 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.
Purpose: It helps healthcare professionals understand the risk associated with treatments or exposures and make informed clinical decisions.
The calculator uses the formula:
Where:
Explanation: The NNH is simply the reciprocal of the Absolute Risk Reduction (ARR). A lower NNH indicates a higher risk of harm.
Details: Understanding NNH helps balance the benefits and risks of treatments, especially when considering interventions with potential side effects.
Tips: Enter the Absolute Risk Reduction (ARR) as a decimal between 0 and 1 (e.g., 0.05 for 5%). The value must be > 0 and ≤ 1.
Q1: What's the difference between NNH and NNT?
A: NNH (Number Needed to Harm) measures harm, while NNT (Number Needed to Treat) measures benefit. Both use similar calculations but opposite interpretations.
Q2: What is a good NNH value?
A: Higher NNH values are better (meaning more people need to be exposed to cause one harm). Values depend on context - what might be acceptable for a life-saving drug might not be for a cosmetic treatment.
Q3: How do I calculate ARR?
A: ARR = Risk in exposed group - Risk in control group. For example, if 10% of treated patients experience side effects vs 2% in controls, ARR = 0.10 - 0.02 = 0.08.
Q4: Can NNH be less than 1?
A: No, since ARR cannot be greater than 1 (100%), NNH cannot be less than 1.
Q5: When should I use NNH?
A: Use NNH when evaluating potential harms of treatments, exposures, or interventions to help weigh risks against benefits.