Suppr超能文献

EirV3的开发:一种用于癌症患者报告结局测量的基于计算机的工具。

Development of EirV3: A Computer-Based Tool for Patient-Reported Outcome Measures in Cancer.

作者信息

Krogstad Hilde, Brunelli Cinzia, Sand Kari, Andersen Eivind, Garresori Herish, Halvorsen Tarje, Haukland Ellinor C, Jordal Frode, Kaasa Stein, Loge Jon Håvard, Løhre Erik Torbjørn, Raj Sunil X, Hjermstad Marianne Jensen

机构信息

Hilde Krogstad, Cinzia Brunelli, Kari Sand, Tarje Halvorsen, Stein Kaasa, Jon Håvard Loge, Erik Torbjørn Løhre, Sunil X. Raj, and Marianne Jensen Hjermstad, European Palliative Care Research Centre, Norwegian University of Science and Technology (NTNU) and St Olavs Hospital, Trondheim University Hospital; Hilde Krogstad, Tarje Halvorsen, Erik Torbjørn Løhre, and Sunil X. Raj, Cancer Clinic, St Olavs Hospital, Trondheim University Hospital; Eivind Andersen, NTNU Technology Transfer AS, Trondheim; Stein Kaasa, Jon Håvard Loge, and Marianne Jensen Hjermstad, Oslo University Hospital, Oslo; Herish Garresori, Stavanger University Hospital, Stavanger; Ellinor C. Haukland, Nordland Hospital Trust, Bodø; Frode Jordal, Østfold Hospital Trust, Grålum, Norway; and Cinzia Brunelli, Fondazione Istituto di Ricovero e Cura a Carattere Scientifico, Istituto Nazionale dei Tumori, Milano, Italy.

出版信息

JCO Clin Cancer Inform. 2017 Nov;1:1-14. doi: 10.1200/CCI.17.00051.

Abstract

PURPOSE

Immediate transfer of patient-reported outcome measures (PROMs) for use in medical consultations is facilitated by electronic assessments. We aimed to describe the rationale and development of Eir version 3 (EirV3), a computer-based symptom assessment tool for cancer, with emphasis on content and user-friendliness.

METHODS

EirV3's specifications and content were developed through multiprofessional, stepwise, and iterative processes (from 2013 to 2016), with literature reviews on traditional and electronic assessment and classification methods, formative iterative usability tests with end-users, and assessment of patient preferences for paper versus electronic assessments.

RESULTS

EirV3 has the following two modules: Eir-Patient for PROMs registration on tablets and Eir-Doctor for presentation of PROMs in a user-friendly interface on computers. Eir-Patient starts with 19 common cancer symptoms followed by specific, in-depth questions for endorsed symptoms. The pain section includes a body map for pain location and intensity, whereas physical functioning, nutritional intake, and well-being are standard questions for all. Data are wirelessly transferred to Eir-Doctor. Symptoms with intensity scores ≥ 3 (on a 0 to 10 scale) are marked in red, with brighter colors corresponding to higher intensity, and supplemented with graphs displaying symptom development over time. Usability results showed that patients and health care providers found EirV3 to be intuitive, easy to use, and relevant. When comparing PROM assessments on paper versus tablets (n = 114), 19% of patients preferred paper, 41% preferred tablets, and 40% had no preference. Median intraclass correlation coefficient between paper and tablets (0.815) was excellent.

CONCLUSION

Iterative test rounds followed by continuous improvements led to a user-friendly, applicable symptom assessment tool, EirV3, developed for and by end-users. EirV3 is undergoing international testing of clinical and cross-cultural adaptability.

摘要

目的

电子评估有助于在医疗咨询中即时传递患者报告的结局指标(PROMs)。我们旨在描述Eir版本3(EirV3)的基本原理和开发情况,这是一种基于计算机的癌症症状评估工具,重点关注内容和用户友好性。

方法

EirV3的规格和内容是通过多专业、逐步和迭代的过程(2013年至2016年)制定的,包括对传统和电子评估及分类方法的文献综述、与最终用户进行的形成性迭代可用性测试,以及评估患者对纸质评估与电子评估的偏好。

结果

EirV3有以下两个模块:用于在平板电脑上注册PROMs的Eir-患者模块,以及用于在计算机上以用户友好界面呈现PROMs的Eir-医生模块。Eir-患者模块首先列出19种常见癌症症状,然后针对认可的症状提出具体的深入问题。疼痛部分包括疼痛位置和强度的身体图,而身体功能、营养摄入和幸福感是所有症状的标准问题。数据通过无线方式传输到Eir-医生模块。强度评分≥3(0至10分制)的症状用红色标记,颜色越亮表示强度越高,并辅以显示症状随时间发展的图表。可用性结果表明,患者和医疗服务提供者认为EirV3直观、易于使用且相关。在比较纸质评估与平板电脑评估(n = 114)时,19%的患者更喜欢纸质评估,41%更喜欢平板电脑,40%没有偏好。纸质评估与平板电脑评估之间的类内相关系数中位数(0.815)非常好。

结论

经过迭代测试轮次并持续改进后,开发出了一种用户友好、适用的症状评估工具EirV3,该工具由最终用户开发并为其所用。EirV3正在进行临床和跨文化适应性的国际测试。

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