Table 2 Prompting strategy underlying systematic testing

From: Evaluating evidence-based health information from generative AI using a cross-sectional study with laypeople seeking screening information

Information requirements

Low informed

Moderately informed

Highly informed

Listing possible benefits and harms

Asking for guidance

Asking for consequences

Asking for benefits and harms

Explaining single event probabilities

Asking for the chance

Asking for an explanation

Asking for reference conditions

Quantifying screening benefits

Asking for the advantage

Asking for a probability

Asking for an absolute effect

Quantifying numerical screening harms

Asking for the disadvantage

Asking for a probability

Asking for an absolute effect

Informing about evidence quality

Asking for an estimate

Asking for reliability

Asking for the study quality

Interpreting test result

Asking for positive result meaning

Asking for the positive predictive value

Providing input for conditional reasoning