COVID-19疫情期间荷兰推迟就医及其对自报健康影响的数据表1
基于荷兰LISS面板调查,分析COVID-19期间推迟就医现象及其对自报健康影响的表格数据。

基本信息
资源简介
COVID-19疫情期间荷兰推迟就医及其对自报健康影响的数据表1
【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 629.32 KB,主题涵盖 COVID-19、postponement of healthcare、survey、health effects、primary care,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《Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf》。配套论文《Impact of COVID-19 pandemic on utilisation of healthcare services: a systematic review》发表于 BMJ Open(2021),DOI:10.1136/bmjopen-2020-045343。源站首次发布:2023-06-23。
【数据内容】
源站原始描述:BackgroundHealthcare services have been seriously disrupted during the COVID-19 pandemic. The aim of this study was to examine the extent to which Dutch citizens have experienced postponed healthcare and how this affected their self-reported health. In addition, individual characteristics that were associated with experiencing postponed healthcare and with self-reported negative health effects were investigated. MethodsAn online survey about postponed healthcare and its consequences was develope…
【数据结构与技术规格】
文件数 1 个,合计 629.32 KB。Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf:application/pdf,629.32 KB。数据集 DOI:10.3389/frhs.2023.1181532.s001。
【主题与分类】
源站学科分类:Health Information Systems (incl. Surveillance)、Primary Health Care、Public Health and Health Services not elsewhere classified、Health Care、Health Economics。主题标签:COVID-19、postponement of healthcare、survey、health effects、primary care、hospital care、dental care、paramedical care。
【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://frontiersin.figshare.com/articles/dataset/Datasheet1_Postponed_healthcare_in_The_Netherlands_during_the_COVID-19_pandemic_and_its_impact_on_self-reported_health_pdf/23565351
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Visscher, Kirsten; Kouwenberg, Lisanne H. J. A.; Oosterhoff, Marije; Rotteveel, Adriënne H.; de Wit, G. Ardine (2023). Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf. Frontiers. Dataset
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)
- 源站标题:Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf
- DOI:10.3389/frhs.2023.1181532.s001
- 发布日期:2023-06-23
- 文件数:1 个
- 文件总体积:629.32 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Datasheet1_Postponed_healthcare_in_The_Netherlands_during_the_COVID-19_pandemic_and_its_impact_on_self-reported_health_pdf/23565351
命令行下载
curl -L -o "Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf" "https://ndownloader.figshare.com/files/41342805"
文件清单
Datasheet1_Postponed healthcare in The Netherlands during the COVID-19 pandemic and its impact on self-reported health.pdf(629.32 KB)
文件总体积 629.32 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
BackgroundHealthcare services have been seriously disrupted during the COVID-19 pandemic. The aim of this study was to examine the extent to which Dutch citizens have experienced postponed healthcare and how this affected their self-reported health. In addition, individual characteristics that were associated with experiencing postponed healthcare and with self-reported negative health effects were investigated.
MethodsAn online survey about postponed healthcare and its consequences was developed, and sent out to participants of the Dutch LISS (Longitudinal Internet Studies for the Social Sciences) panel (n = 2.043). Data were collected in August 2022. Multivariable logistic regression analyses were carried out to explore characteristics associated with postponed care and self-reported negative health outcomes.
ResultsOf the total population surveyed, 31% of the panel experienced postponed healthcare, either initiated by the healthcare provider (14%), on their own initiative (12%) or as a combination of both (5%). Postponed healthcare was associated with being female (OR = 1.61; 95% CI = 1.32; 1.96), presence of chronic diseases (OR = 1.55, 95% CI = 1.24; 1.95), high income (OR = 0.62, 95% CI = 0.48; 0.80) and worse self-reported health (poor vs. excellent OR = 2.88, 95% CI = 1.17; 7.11). Overall, 40% experienced temporary or permanent self-reported negative health effects due to postponed care. Negative health effects as a result of postponed care were associated with presence of chronic conditions and low income levels (p People with an impaired health status are most likely to experiencing postponed healthcare and negative health consequences as a result. Furthermore, those with negative health consequences decided to forego health by themselves more often. As part of long-term plans to maintain the accessibility of healthcare services, specific attention should be paid to reaching out to people with an impaired health status.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/frhs.2023.1181532.s001(source: https://frontiersin.figshare.com/articles/dataset/Datasheet1_Postponed_healthcare_in_The_Netherlands_during_the_COVID-19_pandemic_and_its_impact_on_self-reported_health_pdf/23565351)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




