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健康领域中言语概率解释的不精确性和偏好:系统评价。

Imprecision and Preferences in Interpretation of Verbal Probabilities in Health: a Systematic Review.

机构信息

Department of Population Health Sciences, Weill Cornell Medicine, New York, NY, USA.

Memorial Sloan Kettering Cancer Center, New York, NY, USA.

出版信息

J Gen Intern Med. 2021 Dec;36(12):3820-3829. doi: 10.1007/s11606-021-07050-7. Epub 2021 Aug 6.

Abstract

INTRODUCTION

Many health providers and communicators who are concerned that patients will not understand numbers instead use verbal probabilities (e.g., terms such as "rare" or "common") to convey the gist of a health message.

OBJECTIVE

To assess patient interpretation of and preferences for verbal probability information in health contexts.

METHODS

We conducted a systematic review of literature published through September 2020. Original studies conducted in English with samples representative of lay populations were included if they assessed health-related information and elicited either (a) numerical estimates of verbal probability terms or (b) preferences for verbal vs. quantitative risk information.

RESULTS

We identified 33 original studies that referenced 145 verbal probability terms, 45 of which were included in at least two studies and 19 in three or more. Numerical interpretations of each verbal term were extremely variable. For example, average interpretations of the term "rare" ranged from 7 to 21%, and for "common," the range was 34 to 71%. In a subset of 9 studies, lay estimates of verbal probability terms were far higher than the standard interpretations established by the European Commission for drug labels. In 10 of 12 samples where preferences were elicited, most participants preferred numerical information, alone or in combination with verbal labels.

CONCLUSION

Numerical interpretation of verbal probabilities is extremely variable and does not correspond well to the numerical probabilities established by expert panels. Most patients appear to prefer quantitative risk information, alone or in combination with verbal labels. Health professionals should be aware that avoiding numeric information to describe risks may not match patient preferences, and that patients interpret verbal risk terms in a highly variable way.

摘要

简介

许多关注患者可能无法理解数字的医疗保健提供者和传播者,转而使用口头概率(例如,“罕见”或“常见”等术语)来传达健康信息的要点。

目的

评估患者对健康背景下口头概率信息的理解和偏好。

方法

我们对截至 2020 年 9 月发表的文献进行了系统回顾。如果原始研究以具有代表性的非专业人群样本进行,评估与健康相关的信息,并引出(a)口头概率术语的数值估计,或(b)口头与定量风险信息的偏好,则纳入英语发表的原始研究。

结果

我们确定了 33 项原始研究,其中引用了 145 个口头概率术语,其中 45 个术语至少在两项研究中被引用,19 个术语在三项或更多研究中被引用。每个口头术语的数值解释差异极大。例如,术语“罕见”的平均解释范围从 7%到 21%,而“常见”的范围则从 34%到 71%。在 9 项研究的子集中,非专业人士对口头概率术语的估计远远高于欧盟委员会为药物标签制定的标准解释。在 12 个样本中,有 10 个样本中得出了偏好,大多数参与者更喜欢单独使用或与口头标签结合使用数字信息。

结论

口头概率的数值解释差异极大,与专家小组确定的数值概率不匹配。大多数患者似乎更喜欢定量风险信息,单独使用或与口头标签一起使用。医疗保健专业人员应该意识到,避免使用数字信息来描述风险可能不符合患者的偏好,而且患者对口述风险术语的解释差异极大。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/26c8/8642516/75a3cd9f0a0e/11606_2021_7050_Fig1_HTML.jpg

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