基于对话工具改善肺癌决策(iDECIDE)临床试验数据集

评估肺癌治疗决策对话工具iDECIDE的实用临床试验数据集,包含决策冲突、自我效能等患者报告结局的纵向测量数据。

Taylor & FrancisTaylor & Francis
DataCite Commons
2025-11-12 更新
浏览 23
表格Decision-support techniqueslung neoplasmnon-small cell lung cancershared decision-makingdecision aid
Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial

基本信息

模态
表格
大小
0.000145422 GB
许可
CC BY 4.0
创建/更新时间
2025-11-12
版本
v1

资源简介

基于对话工具改善肺癌决策(iDECIDE)临床试验数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 145.42 KB,主题涵盖 Decision-support techniques、lung neoplasm、non-small cell lung cancer、shared decision-making、decision aid,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial》。配套论文《Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial》发表于 Future Oncology(2025),DOI:10.1080/14796694.2025.2475733。项目资助方:This work is supported by a Research Scholar Grant, RSG-20-127-01-CPPB from the American Cancer Society. It was also supported by resources from the Center to Improve Veteran Involvement in Care, VA Portland Health Care System, Portland, OR (VAPORHCS). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. The Department of Veterans Affairs did not have a role in the conduct of the study, in the collection, management, analysis, interpretation of data, or in the preparation of the manuscript. The views expressed in this article are those of the authors and do not necessarily represent the views of the Department of Veterans Affairs or the U.S. Government.。源站首次发布:2025-03-18。

【数据内容】

源站原始描述:Lung cancer is a leading cause of cancer-related mortality. However, few treatment decision-making resources exist. In this study, we evaluate a low literacy lung cancer treatment conversation tool to enhance shared decision-making (SDM). The Improving Decision-Making Encounters in Lung Cancer (iDECIDE) pragmatic, stepped-wedge cluster randomized trial evaluates the effectiveness of a conversation tool for patients with lung cancer. Our primary outcome is SDM, a multifaceted outcome consisting o…

【数据结构与技术规格】

文件数 2 个,合计 145.42 KB。ifon_a_2475733_sm3912.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,16.40 KB。ifon_a_2475733_sm3911.doc:application/msword,129.02 KB。数据集 DOI:10.6084/m9.figshare.28614918.v1。

【主题与分类】

源站学科分类:Medicine、Cell Biology、Pharmacology、Sociology、Immunology、Biological Sciences not elsewhere classified。主题标签:Decision-support techniques、lung neoplasm、non-small cell lung cancer、shared decision-making、decision aid。

【适用方向】

结构化表格数据可直接用于统计建模、特征工程与队列分析。

【获取与许可】

源站页面:https://tandf.figshare.com/articles/dataset/Improving_lung_cancer_decision-making_using_a_conversation_tool_iDECIDE_a_stepped_wedge_pragmatic_clinical_trial/28614918

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Improving lung cancer decision-making using a conversation tool (iDECIDE): a stepped wedge pragmatic clinical trial. Taylor & Francis. Disher, Natalie; Dieckmann, Nathan F.; Case, James R.; Rubim, Felipe; Eden, Karen B.; Golden, Sara E.; et al

【使用注意】

· 源站最后修改于 2025-11-12,引用时请注意版本时效。

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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下载信息

注册下载

需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。

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公开下载

无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。

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当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。

免费样本无法满足模型训练要求?千方提供经三甲医院脱敏、带病理回证与专家标注的商业级专病数据集。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "ifon_a_2475733_sm3912.docx" "https://ndownloader.figshare.com/files/53060562"
curl -L -o "ifon_a_2475733_sm3911.doc" "https://ndownloader.figshare.com/files/53060565"

文件清单

  • ifon_a_2475733_sm3912.docx(16.40 KB)
  • ifon_a_2475733_sm3911.doc(129.02 KB)

文件总体积 145.42 KB(源站 API 实测)。

数据说明

Lung cancer is a leading cause of cancer-related mortality. However, few treatment decision-making resources exist. In this study, we evaluate a low literacy lung cancer treatment conversation tool to enhance shared decision-making (SDM). The Improving Decision-Making Encounters in Lung Cancer (iDECIDE) pragmatic, stepped-wedge cluster randomized trial evaluates the effectiveness of a conversation tool for patients with lung cancer. Our primary outcome is SDM, a multifaceted outcome consisting of decisional conflict (DCS), decision self-efficacy (DSES), satisfaction with communication (COMRADE), and assessment of lung cancer knowledge. SDM is assessed 2 weeks, 3 months, and 6 months after patients’ treatment decision-making encounter. Each measure within the primary outcome will be assessed separately. We began recruiting patients in 2022 from four health care centers and will conduct outcome assessments at four timepoints over 6 months. We aim to recruit 230 patients by 2025. We seek to address the gaps in NSCLC decision-making support using an innovative trial design to determine whether our conversation tool improves SDM and other patient-centered outcomes.
Clinical Trial Registration: NCT05407168 (clinicaltrials.gov)
Lung cancer is one of the most deadly cancers. Although there are many treatment options, resources exist to help patients make decisions about treatment for their lung cancer. This study evaluates how well a decision aid helps improve decision-making conversations between patients with lung cancer and their providers.
In our study, Improving Decision-Making Encounters In Lung Cancer (iDECIDE), we go through a lung cancer treatment decision aid with patients with lung cancer. We also measure patients’ decisional conflict, decision self efficacy, satisfaction with communication, and knowledge about lung cancer. We measure these concepts before patients make a treatment decision, and then 2 weeks, 3 months, and 6 months after they make their treatment decision. We began recruiting patients for our study in 2022 and recruit patients from four different hospitals in the Portland, Oregon area. Our goal is to recruit 230 patients by the end of 2025

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.28614918.v1(source: https://tandf.figshare.com/articles/dataset/Improving_lung_cancer_decision-making_using_a_conversation_tool_iDECIDE_a_stepped_wedge_pragmatic_clinical_trial/28614918)。

需要用于商业化训练或医疗器械注册(NMPA/FDA)?

公开数据往往缺乏完整的病理回证与专家标注。千方医数集依托陕川双基地与超十家三甲医院直连,提供完全合规、去标识化、支持注册级质控的专病数据集交易服务。