Executive Summary

Why this matters

Communicating statistics on risk is an important part of patient information. 61% of people aged 16-65 are unable to understand health information if numeracy skills are required[1]. As information producers, our job is to help people feel confident in making decisions about their health.

Numbers not words

  • Interpretation of words like rare and common varies enormously. Always use a statistic such as 1 in 100 people alongside words like rare or common.
  • Use expected frequencies rather than percentages, for example, 10 in 100, rather than 10%.
  • When giving people two frequencies to compare, make sure they are both expressed as ‘out of’ the same number (e.g. 1 in 100 compared with 2 in 100, NOT 1 in 100 compared with 1 in 50).

Use absolute risk rather than relative risk

  • The absolute risk of an event increases from 1 in 100 to 2 in 100, but the relative risk of the event doubles. Using relative risk in isolation can be misleading.

Illustrating risk

  • A great way to improve users’ understanding of risk and statistics is to use visual aids.
  • Using a mix of numerical and pictorial formats to communicate risk is helpful.
  • Visual displays may be most helpful for giving people an overall pattern, whereas actual numbers can be better for communicating detail.

Perceptions of risk

  • Consider using both positive and negative framing, i.e. ‘3 out of 100 people experienced this side effect, but 97 out of 100 did not’.
  • Consider adding some context to your statistics. What would make a useful comparison to give people a sense of the likelihood, or to help them make their decision?

Explaining uncertainty

  • Communicate the uncertainty of data.

Pre-empt misunderstandings

  • If something is easily misunderstood, or there is a common myth, it is better to address it head-on.



This guide supports the following PIF TICK criteria:

  • 4.0 Evidence: Information is based on reliable, up-to-date evidence which is communicated clearly.
  • 5.0 Involving users: Users are involved in the development of information.
  • 6.0 Health inequalities: Information is written to meet health and digital literacy, language and accessibility needs of the target audience.



1. A mismatch between population health literacy and the complexity of health information: an observational study. Gillian Rowlands, Joanne Protheroe, John Winkley, Marty Richardson, Paul T Seed, Rima Rudd. https://pubmed.ncbi.nlm.nih.gov/26009533/

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