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多治疗方案决策支持工具的解读和使用:一项综合随机对照试验和医学生调查。

Interpretation and use of a decision support tool for multiple treatment options: a combined randomised controlled trial and survey of medical students.

机构信息

Institute of Health and Society, University of Oslo Faculty of Medicine, Oslo, Norway

Institute of Health and Society, University of Oslo Faculty of Medicine, Oslo, Norway.

出版信息

BMJ Evid Based Med. 2024 Jan 19;29(1):29-36. doi: 10.1136/bmjebm-2023-112370.

Abstract

OBJECTIVES

To investigate medical students' ability to interpret evidence, as well as their self-assessed understandability, perceived usefulness and preferences for design alternatives in an interactive decision support tool, displaying GRADE evidence summaries for multiple treatment options (Making Alternative Treatment CHoices Intuitive and Trustworthy, MATCH-IT).

DESIGN

A combined randomised controlled trial and survey. Participants were presented with a clinical scenario and randomised to one of two versions of the MATCH-IT tool (A/B), instructed to explore the evidence and decide on a recommendation. Participants answered a questionnaire assessing interpretation, treatment recommendation self-assessed understandability and perceived usefulness before exposure to the other MATCH-IT version and asked questions on design preferences.

SETTING

Online lecture in an evidence-based medicine (EBM) introductory course.

PARTICIPANTS

149 third-year medical students. 52% (n=77) had 6 months of clinical training and 48% (n=72) had preclinical training only.

INTERVENTIONS

The MATCH-IT tool version A uses colour coding to categorise interventions by magnitude and direction of effects and displays all outcomes in a table on entry. Version B has no colour coding, and the user must decide which outcomes to display in the table.

MAIN OUTCOME MEASURES

Interpretation of evidence, treatment recommendation, perceived usefulness and understandability, preference for format and design alternatives.

RESULTS

82.5% (n=123) of medical students correctly answered ≥4 out of 5 multiple choice questions assessing interpretation of data. 75.8% (n=114) of students made a treatment recommendation in accordance with an expert panel for the same clinical scenario. 87.2% (n=130) found the tool understandable while 91.9% perceived the tool as useful in addressing the clinical scenario.

CONCLUSION

Medical students with no prior training in EBM can interpret and use the MATCH-IT tool. Certain design alternatives were preferred but had no bearing on interpretation of evidence or understandability of the tool.

摘要

目的

调查医学生解释证据的能力,以及他们对一种交互式决策支持工具(用于显示多种治疗选择的 GRADE 证据摘要)中自我评估的可理解性、感知有用性和设计替代方案偏好,该工具显示 GRADE 证据摘要用于多种治疗选择(使替代治疗选择直观和值得信赖,MATCH-IT)。

设计

一项结合了随机对照试验和调查的研究。参与者被呈现一个临床场景,并随机分配到 MATCH-IT 工具的两个版本(A/B)之一,要求他们探索证据并做出推荐。参与者在接触另一个 MATCH-IT 版本之前回答了一个评估解释、治疗推荐自我评估可理解性和感知有用性的问卷,并就设计偏好提出了问题。

设置

在线循证医学(EBM)入门课程中的讲座。

参与者

149 名三年级医学生。6 个月临床培训的占 52%(n=77),仅前临床培训的占 48%(n=72)。

干预措施

MATCH-IT 工具的 A 版本使用颜色编码将干预措施按效果的大小和方向分类,并在进入时在表格中显示所有结果。B 版本没有颜色编码,用户必须决定在表格中显示哪些结果。

主要观察指标

证据解释、治疗推荐、感知有用性和可理解性、格式和设计替代方案偏好。

结果

82.5%(n=123)的医学生正确回答了 5 个多项选择问题中的 4 个或以上,评估对数据的解释。75.8%(n=114)的学生根据同一临床场景的专家小组做出了治疗推荐。87.2%(n=130)的学生认为该工具易于理解,而 91.9%的学生认为该工具在处理临床场景方面非常有用。

结论

没有循证医学培训背景的医学生可以解释和使用 MATCH-IT 工具。某些设计替代方案更受欢迎,但对证据解释或工具的可理解性没有影响。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/694b/10850623/87c31b79ae7c/bmjebm-2023-112370f01.jpg

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