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Health Professionals Prefer to Communicate Risk-Related Numerical Information Using "1-in-X" Ratios.
- Source :
-
Medical decision making : an international journal of the Society for Medical Decision Making [Med Decis Making] 2018 Apr; Vol. 38 (3), pp. 366-376. Date of Electronic Publication: 2017 Oct 25. - Publication Year :
- 2018
-
Abstract
- Background: Previous research has shown that format effects, such as the "1-in-X" effect-whereby "1-in-X" ratios lead to a higher perceived probability than "N-in-N*X" ratios-alter perceptions of medical probabilities. We do not know, however, how prevalent this effect is in practice; i.e., how often health professionals use the "1-in-X" ratio.<br />Methods: We assembled 4 different sources of evidence, involving experimental work and corpus studies, to examine the use of "1-in-X" and other numerical formats quantifying probability.<br />Results: Our results revealed that the use of the "1-in-X" ratio is prevalent and that health professionals prefer this format compared with other numerical formats (i.e., the "N-in-N*X", %, and decimal formats). In Study 1, UK family physicians preferred to communicate prenatal risk using a "1-in-X" ratio (80.4%, n = 131) across different risk levels and regardless of patients' numeracy levels. In Study 2, a sample from the UK adult population ( n = 203) reported that most GPs (60.6%) preferred to use "1-in-X" ratios compared with other formats. In Study 3, "1-in-X" ratios were the most commonly used format in a set of randomly sampled drug leaflets describing the risk of side effects (100%, n = 94). In Study 4, the "1-in-X" format was the most commonly used numerical expression of medical probabilities or frequencies on the UK's NHS website (45.7%, n = 2,469 sentences).<br />Conclusions: The prevalent use of "1-in-X" ratios magnifies the chances of increased subjective probability. Further research should establish clinical significance of the "1-in-X" effect.
Details
- Language :
- English
- ISSN :
- 1552-681X
- Volume :
- 38
- Issue :
- 3
- Database :
- MEDLINE
- Journal :
- Medical decision making : an international journal of the Society for Medical Decision Making
- Publication Type :
- Academic Journal
- Accession number :
- 29068246
- Full Text :
- https://doi.org/10.1177/0272989X17734203