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dc.contributor.authorSirota, Miroslav
dc.contributor.authorJuanchich, Marie
dc.contributor.authorPetrova, Dafina 
dc.contributor.authorGarcía Retamero Imedio, María Del Rocío 
dc.contributor.authorWalasek, Lukasz
dc.contributor.authorBhatia, Sudeep
dc.identifier.citationSirota, Miroslav, Juanchich, Marie, Petrova, Dafina, Garcia-Retamero, Rocio, Walasek, Lukasz and Bhatia, Sudeep. (2017) Health professionals prefer to communicate risk-related numerical information using “1-in-X” ratios. Medical Decision Making. PREPRINT []es_ES
dc.description.abstractPrevious research showed 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 – whether health professionals often use “1-in-X” ratios. We assembled four 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 “1-in-X” ratios 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.es_ES
dc.publisherSage Publicationses_ES
dc.rightsAtribución-NoComercial-SinDerivadas 3.0 España*
dc.subjectFormat preferencees_ES
dc.subject“1-in-X” effectes_ES
dc.subject“1-in-X” ratioes_ES
dc.subjectSubjective probabilityes_ES
dc.subjectRisk communication es_ES
dc.titleHealth professionals prefer to communicate risk-related numerical information using “1-in-X” ratioses_ES

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Atribución-NoComercial-SinDerivadas 3.0 España
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