参与者基本人口统计学信息

包含COPD患者基本人口统计学信息的数据集,用于开发简短健康素养评估工具。

NIAID Data Ecosystem
浏览 15
表格telecare north )shared decision makingscale telehomecare projectrandomized controlled trialmultiple linear regressiongiven special instructionsfunctional health literacyassessing health literacyadults &# 8212using machine learningexhaustive search showedincluded 1225 patients
Basic demographics of the participants

基本信息

模态
表格
大小
0.000005632 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

参与者基本人口统计学信息

【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 5.63 KB,主题涵盖 telecare north ),、shared decision making、scale telehomecare project、randomized controlled trial、multiple linear regression,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《Basic demographics of the participants.》。源站首次发布:2023-07-27。

【数据内容】

源站原始描述:Introduction Patients are compelled to become more involved in shared decision making with healthcare professionals in the self-management of chronic disease and general adherence to treatment. Therefore, it is valuable to be able to identify patients with low functional health literacy so they can be given special instructions about the management of chronic disease and medications. However, time spent by both patients and clinicians is a concern when introducing a screening instrument in the c…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 2.xls:undefined,5.63 KB。数据集 DOI:10.1371/journal.pone.0280613.t002。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Developmental Biology、Cancer、Science Policy、Infectious Diseases。主题标签:telecare north ),、shared decision making、scale telehomecare project、randomized controlled trial、multiple linear regression、given special instructions、functional health literacy、assessing health literacy、adults &# 8212、using machine learning。

【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/Basic_demographics_of_the_participants_/23794142

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

规范引用:Hæsum, Lisa Korsbakke Emtekær; Cichosz, Simon Lebech; Hejlesen, Ole Kristian (2023). Basic demographics of the participants.. 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。

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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 2.xls" "https://ndownloader.figshare.com/files/41733260"

文件清单

  • Table 2.xls(5.63 KB)

文件总体积 5.63 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

Introduction
Patients are compelled to become more involved in shared decision making with healthcare professionals in the self-management of chronic disease and general adherence to treatment. Therefore, it is valuable to be able to identify patients with low functional health literacy so they can be given special instructions about the management of chronic disease and medications. However, time spent by both patients and clinicians is a concern when introducing a screening instrument in the clinical setting, which raises the need for short instruments for assessing health literacy that can be used by patients without the involvement of healthcare personnel. This paper describes the development of a short version of the full-length Danish TOFHLA (DS-TOFHLA) that is easily applicable in the clinical context and where the use does not require a trained interviewer.
Materials and methods
Data were collected as a part of a large-scale telehomecare project (TeleCare North), which was a randomized controlled trial that included 1225 patients with chronic obstructive pulmonary disease. The DS-TOFHLA was developed solely using an algorithm-based selection of variables and multiple linear regression. A multiple linear regression model was developed using an exhaustive search strategy.
Results
The exhaustive search showed that the number of items in the full-length TOFHLA could be reduced from 17 numeracy items and 50 reading comprehension items to 20 reading comprehension items while maintaining a correlation of r = 0.90 between the scores from full-length and short versions. A generic model-based approach was developed, which is suitable for development of short versions of the TOFHLA in other languages, including the original American version.
Conclusions
This study demonstrated how a generic model-based approach could be applied in the development of a short version of the TOFHLA, thereby reducing the 67 items to 20 items in the short version. Furthermore, this study showed that the inclusion of numeracy items was not necessary. The development of the DS-TOFHLA presents an opportunity to reliably identify patients with inadequate functional health literacy in approx

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0280613.t002(source: https://plos.figshare.com/articles/dataset/Basic_demographics_of_the_participants_/23794142)。

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