Publication:
Health Professionals Prefer to Communicate Risk-Related Numerical Information Using "1-in-X" Ratios.

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2017-10-25

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Sirota, Miroslav
Juanchich, Marie
Petrova, Dafina
Garcia-Retamero, Rocio
Walasek, Lukasz
Bhatia, Sudeep

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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. 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. 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). 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.

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Adult
Communication
Female
Health Personnel
Humans
Internet
Male
Middle Aged
Pamphlets
Patient Education as Topic
Physician-Patient Relations
Physicians, Family
Pregnancy
Prenatal Care
Probability
Risk
Risk Assessment
Spain
Surveys and Questionnaires
United Kingdom

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Keywords

effect, format preference, ratio, risk communication, subjective probability, “1-in-X”

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