ABSTRACT
Background
The COVID-19 pandemic is characterized by both health and economic risks. A ‘safety loop’ model postulates risk-related decisions are not based on objective and measurable risks but on the subjective perception of those risks. We here illustrate a quantification of the difference between objective and subjective risks.
Method
The objective risks (or chances) can be obtained from traditional 2 × 2 tables by calculating the positive (+LR) and negative (−LR) likelihood ratios. The subjective perception of objective risks is calculated from the same 2 × 2 tables by exchanging the X- and Y-axes. The traditional 2 × 2 table starts with the hypothesis, uses a test and a gold standard to confirm or exclude the investigated condition. The 2 × 2 table with inverted axes starts with the communication of a test result and presumes that the communication of bad news (whether right or false) will induce ‘Perceived Anxiety’ while good news will induce ‘Perceived Safety’. Two different functions (confirmation and exclusion) of both perceptions (Perceived Anxiety and Safety) can be quantified with those calculations.
Results
The analysis of six published tests and of one incompletely reported test on COVID-19 polymerase chain reactions (completed by four assumptions on high and low sensitivities and specificities) demonstrated that none of these tests induces ‘Perceived Safety’. Eight of the ten tests confirmed the induction of ‘Perceived Anxiety’ with + LRs (range 3.1–5900). In two of these eight tests, a −LR (0.25 and 0.004) excluded the induction of ‘Perceived Safety’.
Conclusions
Communication of test results caused perceived anxiety but not perceived safety in 80% of the investigated tests. Medical tests – whether true or false – generate strong psychological messages. In the case of COVID-19 tests may induce more perceived anxiety than safety. Risk communication has to balance objective and subjective risks.
Acknowledgements
We are grateful Dr. jur. Cornelia Holldorf, Berlin, for her valuable advice and support in the discussion of social aspects of this project. We also thank Prof. Dr. Horst Kunhardt, Vice President, Deggendorf Institute of Technology, D-94469 Deggendorf / Germany for contributing data to the Bavarian Myocardial Infarction Campaign.
Disclosure statement
No potential conflict of interest was reported by the author(s).