Shafaat Choyon.

Risk communication calculator

A "50% lower risk" headline can mean almost nothing. Enter two risks to get the absolute difference, the number needed to treat, an out-of-100 picture and wording people will understand. Load a program example, from public health to business, to see how it changes.

Built from my own work: COVID service innovation: door-to-door & 6-hour traveler testing

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Relative change-
Absolute change-
Number needed to treat-

has the outcome either way   outcome avoided (or caused) by the intervention   no outcome

How to say it

FormulaAbsolute risk reduction = risk without − risk with · Relative risk reduction = ARR ÷ risk without · NNT = 1 ÷ ARR

What to do next

    Show the working, step by step

      Where I used this

      At Praava Health during COVID, we launched door-to-door testing with 6-hour results for travelers.

      Read the case: COVID service innovation: door-to-door & 6-hour traveler testing →

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      Why absolute risk matters

      "Halves your risk" can mean 50 in 100 down to 25, or 2 in 1,000 down to 1. Both are a 50% relative reduction, and they mean completely different things to a patient or a policymaker. Plain-language guidance in health communication consistently recommends showing absolute risks, using the same denominator ("out of 100"), and adding a picture.

      • Use frequencies, not percentages. "2 out of 100" is easier to grasp than "2%".
      • Keep the denominator fixed. Do not compare "1 in 50" with "1 in 200".
      • Show harms the same way as benefits. Side effects deserve the same absolute framing.

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      Questions

      What is number needed to treat (NNT)?

      How many people need the intervention for one person to benefit. It is 1 divided by the absolute risk reduction. An NNT of 50 means treating 50 people prevents one case.

      What is the difference between relative and absolute risk?

      Relative risk compares the two groups as a ratio. Absolute risk is the actual difference in how many people are affected. Relative numbers look bigger when the starting risk is small.

      Where do the risk numbers come from?

      From a trial, a study or surveillance data for the group you are talking to. The calculator does the arithmetic; the evidence has to come from a reliable source.

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