• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

除相对数字外,使用不含数值的树形图可提高学生的计算能力:医学教育中的一项随机研究。

Using tree diagrams without numerical values in addition to relative numbers improves students' numeracy skills: a randomized study in medical education.

作者信息

Friederichs Hendrik, Ligges Sandra, Weissenstein Anne

机构信息

University of Muenster, Studienhospital, Muenster, Germany (HF, AW).

University of Muenster, Institute of Biostatistics and Clinical Research, Muenster, Germany (SL)

出版信息

Med Decis Making. 2014 Feb;34(2):253-7. doi: 10.1177/0272989X13504499. Epub 2013 Oct 1.

DOI:10.1177/0272989X13504499
PMID:24085290
Abstract

BACKGROUND

Physicians and medical students may lack sufficient numeracy skills to make treatment decisions, interpret test results, and practice evidence-based medicine. We evaluated whether the use of a tree diagram without numerical values as an aid for numerical processing might improve students' test results when dealing with percentages.

METHODS

A prospective randomized study was carried out with 102 third-year students. Participants received 3 diagnostic test problems and were asked to determine positive predictive values. The information in these tests was expressed either in (1) natural frequencies, (2) conditional probabilities, or (3) conditional probabilities with a tree diagram without numbers.

RESULTS

Ninety-eight (96.1%) complete data sets could be obtained. The group working with natural frequencies achieved significantly higher test results (n = 29, mean score: 1.1, P = 0.045) than the group working with conditional probabilities (n = 34, mean score: 0.56). The students who were given a tree diagram in addition to conditional probabilities (n = 35, mean score: 1.26) also achieved significantly better scores than the group with conditional probabilities alone (P = 0.008). The difference between the group who had received natural frequencies and the group working with conditional probabilities and the tree diagram was not significant.

CONCLUSIONS

We suggest the use of a tree diagram as a visual aid when dealing with diagnostic tests expressed in conditional probabilities.

摘要

背景

医生和医学生可能缺乏足够的计算能力来做出治疗决策、解读检查结果以及实践循证医学。我们评估了使用无数值的树形图作为数值处理辅助工具是否能在学生处理百分比时提高测试成绩。

方法

对102名三年级学生进行了一项前瞻性随机研究。参与者收到3个诊断测试问题,并被要求确定阳性预测值。这些测试中的信息以以下三种方式呈现:(1)自然频率,(2)条件概率,或(3)带有无数字树形图的条件概率。

结果

可获得98份(96.1%)完整数据集。使用自然频率的组取得的测试成绩显著高于使用条件概率的组(n = 29,平均得分:1.1,P = 0.045)(n = 34,平均得分:0.56)。除条件概率外还获得树形图的学生(n = 35,平均得分:1.26)的成绩也显著优于仅使用条件概率的组(P = 0.008)。接受自然频率的组与使用条件概率和树形图的组之间的差异不显著。

结论

我们建议在处理以条件概率表示的诊断测试时,使用树形图作为视觉辅助工具。

相似文献

1
Using tree diagrams without numerical values in addition to relative numbers improves students' numeracy skills: a randomized study in medical education.除相对数字外,使用不含数值的树形图可提高学生的计算能力:医学教育中的一项随机研究。
Med Decis Making. 2014 Feb;34(2):253-7. doi: 10.1177/0272989X13504499. Epub 2013 Oct 1.
2
Visualizing the Bayesian 2-test case: The effect of tree diagrams on medical decision making.可视化贝叶斯 2 检验案例:树状图对医疗决策的影响。
PLoS One. 2018 Mar 27;13(3):e0195029. doi: 10.1371/journal.pone.0195029. eCollection 2018.
3
Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning.在贝叶斯推理中利用双频树和频率网络提高诊断效率
MDM Policy Pract. 2022 Mar 16;7(1):23814683221086623. doi: 10.1177/23814683221086623. eCollection 2022 Jan-Jun.
4
Natural frequencies help older adults and people with low numeracy to evaluate medical screening tests.自然频率有助于老年人和算术能力较低的人评估医学筛查测试。
Med Decis Making. 2009 May-Jun;29(3):368-71. doi: 10.1177/0272989X08329463. Epub 2009 Jan 6.
5
Numeracy among trainees: are we preparing physicians for evidence-based medicine?受训者的计算能力:我们是否在为循证医学培养医生?
J Surg Educ. 2014 Mar-Apr;71(2):211-5. doi: 10.1016/j.jsurg.2013.07.013.
6
[Graphical and numerical skills in pre- and postgraduate medical students from a private university].[私立大学本科及研究生医学生的图形和数字技能]
Gac Med Mex. 2018;154(2):209-216. doi: 10.24875/GMM.17003024.
7
Numeracy and the medical student's ability to interpret data.算术能力与医学生解读数据的能力。
Eff Clin Pract. 2002 Jan-Feb;5(1):35-40.
8
Health numeracy skills of medical students:cross-sectional and controlled before-and-after study.医学生健康算数技能:横断面和对照前后研究。
BMC Med Educ. 2019 Dec 21;19(1):467. doi: 10.1186/s12909-019-1902-6.
9
Visual representation of statistical information improves diagnostic inferences in doctors and their patients.统计信息的可视化表示可以提高医生及其患者的诊断推论。
Soc Sci Med. 2013 Apr;83:27-33. doi: 10.1016/j.socscimed.2013.01.034. Epub 2013 Feb 8.
10
A New Visualization for Probabilistic Situations Containing Two Binary Events: The Frequency Net.一种用于包含两个二元事件的概率情况的新可视化方法:频率网。
Front Psychol. 2020 May 26;11:750. doi: 10.3389/fpsyg.2020.00750. eCollection 2020.

引用本文的文献

1
Influence of risk literacy, decision-making styles and motivation on clinical reasoning in medical students: an ordinal logistic regression analysis.风险认知、决策风格和动机对医学生临床推理的影响:一项有序逻辑回归分析。
BMC Med Educ. 2025 Apr 29;25(1):633. doi: 10.1186/s12909-025-07135-5.
2
Presentation format influences the strength of causal illusions.呈现形式会影响因果错觉的强度。
Mem Cognit. 2025 Apr 29. doi: 10.3758/s13421-025-01714-z.
3
Natural frequency tree- versus conditional probability formula-based training for medical students' estimation of screening test predictive values: a randomized controlled trial.
基于自然频率树与条件概率公式的医学生预测值估算培训:一项随机对照试验。
BMC Med Educ. 2024 Oct 24;24(1):1207. doi: 10.1186/s12909-024-06209-0.
4
Healthcare providers' understanding of data displays of clinical trial information: a scoping review of the literature.医疗保健提供者对临床试验信息数据展示的理解:文献的范围综述。
J Commun Healthc. 2023 Oct;16(3):260-267. doi: 10.1080/17538068.2022.2150236. Epub 2022 Dec 5.
5
Complexity of Data Displays in Prescription Drug Advertisements for Healthcare Providers.处方药广告中数据展示的复杂性:面向医疗保健提供者。
Ther Innov Regul Sci. 2023 Jul;57(4):712-716. doi: 10.1007/s43441-023-00523-3. Epub 2023 Apr 15.
6
Improving Diagnostic Efficiency with Frequency Double-Trees and Frequency Nets in Bayesian Reasoning.在贝叶斯推理中利用双频树和频率网络提高诊断效率
MDM Policy Pract. 2022 Mar 16;7(1):23814683221086623. doi: 10.1177/23814683221086623. eCollection 2022 Jan-Jun.
7
Natural frequency trees improve diagnostic efficiency in Bayesian reasoning.自然频率树提高了贝叶斯推理中的诊断效率。
Adv Health Sci Educ Theory Pract. 2021 Aug;26(3):847-863. doi: 10.1007/s10459-020-10025-8. Epub 2021 Feb 12.
8
Risk literacy assessment of general practitioners and medical students using the Berlin Numeracy Test.使用柏林计算测试评估全科医生和医学生的风险素养。
BMC Fam Pract. 2020 Jul 14;21(1):143. doi: 10.1186/s12875-020-01214-w.
9
Diagnostic tests: how to estimate the positive predictive value.诊断测试:如何估计阳性预测值。
Neurooncol Pract. 2015 Dec;2(4):162-166. doi: 10.1093/nop/npv030. Epub 2015 Sep 7.
10
An Eye-Tracking Study of Statistical Reasoning With Tree Diagrams and 2 × 2 Tables.一项关于使用树形图和2×2表格进行统计推理的眼动追踪研究。
Front Psychol. 2019 May 15;10:632. doi: 10.3389/fpsyg.2019.00632. eCollection 2019.