基线参与者特征

老年脑卒中幸存者基线特征数据集,来自评估决策辅助工具效果的随机对照试验。

NIAID Data Ecosystem
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表格randomized controlled trialolder stroke survivorsolder stroke patientsjapanese medical practicefull analysis setfamilies &# 8217significant group differenceparticipants living alonecontrol preference scalexlink "> ninetysignificant group differencescontrol group n
Characteristics of participants at baseline

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

基线参与者特征

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 9.73 KB,主题涵盖 randomized controlled trial、older stroke survivors、older stroke patients、japanese medical practice、full analysis set,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《Characteristics of participants at baseline.》。源站首次发布:2024-01-25。

【数据内容】

源站原始描述:Background In Japanese medical practice, older stroke survivors are overwhelmed with information regarding their discharge locations, creating more decision-making challenges. A randomized controlled trial evaluated the influence of decision aids (DAs) for matching older stroke patients and their families’ values concerning decisional conflict and participation in discharge destination decisions. Methods Participants were randomly allocated to intervention and control groups. The intervention sp…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0272115.t001。

【主题与分类】

源站学科分类:Cell Biology、Neuroscience、Biotechnology、Developmental Biology、Science Policy、Mental Health。主题标签:randomized controlled trial、older stroke survivors、older stroke patients、japanese medical practice、full analysis set、families &# 8217、significant group difference、participants living alone、control preference scale、significant group differences。

【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://plos.figshare.com/articles/dataset/Characteristics_of_participants_at_baseline_/25065346

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

规范引用:Aoki, Yoriko; Nakayama, Kazuhiro; Yonekura, Yuki (2024). Characteristics of participants at baseline.. PLOS ONE. Dataset

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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。

暂未开放

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。

免登录

有偿下载

公开数据集受托下载与技术交付服务。

提供高速下载与技术交付服务(收技术服务费,非数据销售)

暂未开放

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。

使用方式

数据集获取(Figshare)

命令行下载

curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/44233219"

文件清单

  • Table 1.xls(9.73 KB)

文件总体积 9.73 KB(源站 API 实测)。

数据加载示例(图像类)

from PIL import Image
import glob, os

files = (glob.glob(os.path.join(path, "**", "*.png"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.jpg"), recursive=True)
       + glob.glob(os.path.join(path, "**", "*.tif"), recursive=True))
print("图像文件数:", len(files))
img = Image.open(files[0]); print("尺寸/模式:", img.size, img.mode)

# torchvision Dataset 方式:
# from torchvision import datasets
# ds = datasets.ImageFolder(path)  # 要求 子目录=类别

目录组织与标注格式以源站说明和下载后实际文件为准。

数据说明

Background
In Japanese medical practice, older stroke survivors are overwhelmed with information regarding their discharge locations, creating more decision-making challenges. A randomized controlled trial evaluated the influence of decision aids (DAs) for matching older stroke patients and their families’ values concerning decisional conflict and participation in discharge destination decisions.
Methods
Participants were randomly allocated to intervention and control groups. The intervention spanned two months, from admission to discharge, at which times participants were surveyed. DAs were provided to the intervention group, and brochures to the control group. The primary endpoint was decisional conflict, assessed using the Decisional Conflict Scale (DCS). The secondary endpoint decision-making participation was assessed using the Control Preference Scale (CPS) decision-making roles and a 10-point Visual Analog Scale for participation rate. An independent t-test analyzed decisional conflict scores and participation rates to examine between-group differences. The chi-square independence test evaluated roles in decision-making scores. Post hoc subgroup analyses were performed.
Results
Ninety-nine participants (intervention group n = 51; control group n = 48) were included in the full analysis set, with a dropout rate of 38.4%. No significant group differences were found in decision-making conflict [t (99) = 0.69, p = 0.49, d = 0.14] and roles in decision-making scores [χ2 (5) = 3.65, p = 0.46]. However, a significant group difference was found in the participation rate [t (99) = 2.24, p = 0.03, d = 0.45]. DA tended to reduce uncertainty and promote participation rates, especially in participants living alone and unable to decide their discharge destination.
Conclusions
The use of DA with older stroke patients did not significantly decrease decisional conflicts. In addition, the participation rate in decision-making increased, but their active role did not. Further studies should be conducted to understand the methods of offering DA, their ideal durations, and identify their beneficiaries.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0272115.t001(source: https://plos.figshare.com/articles/dataset/Characteristics_of_participants_at_baseline_/25065346)。

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