参与者人口学特征

基于医护人员调查的脓毒症认知数据集,包含人口学特征及知识反馈,模态为表格。

Figshare
2023-06-28 更新
浏览 15
表格word &# 8220tertiary care centerrecent training correlated653 &# 8211527 &# 8211342 &# 8211110 &# 8211026 &# 8211018 &# 8211initiated within 1ci ]: 11 &# 8217
Participant's demographical characteristics

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
2023-06-28
版本
v1

资源简介

参与者人口学特征

【数据集背景】

本数据集源站标题为《Participant’s demographical characteristics.》。源站首次发布:2023-06-28。

【数据内容】

源站原始描述:Background Sepsis is a leading cause of morbidity and mortality. Prompt recognition and management are critical to improve outcomes. Methods We conducted a survey among nurses and physicians of all adult departments of the Lausanne University Hospital (LUH) and paramedics transporting patients to our hospital. Measured outcomes included professionals’ demographics (age, profession, seniority, unit of activity), quantification of prior sepsis education, self-evaluation, and knowledge of sepsis ep…

【数据结构与技术规格】

文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0285151.t001。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Developmental Biology、Science Policy、Infectious Diseases。主题标签:word &# 8220、tertiary care center、recent training correlated、653 &# 8211、527 &# 8211、342 &# 8211、110 &# 8211、026 &# 8211、018 &# 8211、initiated within 1。

【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/Participant_s_demographical_characteristics_/23594256

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

规范引用:Regina, Jean; Le Pogam, Marie-Annick; Niemi, Tapio; Akrour, Rachid; Pepe, Santino; Lehn, Isabelle; et al. (2023). Participant’s demographical characteristics.. PLOS ONE. Dataset

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。

帮我联系

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/41392164"

文件清单

  • Table 1.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

Background
Sepsis is a leading cause of morbidity and mortality. Prompt recognition and management are critical to improve outcomes.
Methods
We conducted a survey among nurses and physicians of all adult departments of the Lausanne University Hospital (LUH) and paramedics transporting patients to our hospital. Measured outcomes included professionals’ demographics (age, profession, seniority, unit of activity), quantification of prior sepsis education, self-evaluation, and knowledge of sepsis epidemiology, definition, recognition, and management. Correlation between surveyed personnel and sepsis perceptions and knowledge were assessed with univariable and multivariable logistic regression models.
Results
Between January and October 2020, we contacted 1’216 of the 4’417 professionals (27.5%) of the LUH, of whom 1’116 (91.8%) completed the survey, including 619 of 2’463 (25.1%) nurses, 348 of 1’664 (20.9%) physicians and 149 of 290 (51.4%) paramedics. While 98.5% of the participants were familiar with the word “sepsis” (97.4% of nurses, 100% of physicians and 99.3% of paramedics), only 13% of them (physicians: 28.4%, nurses: 5.9%, paramedics: 6.8%) correctly identified the Sepsis-3 consensus definition. Similarly, only 48% and 49.3% of the physicians and 10.1% an 11.9% of the nurses knew that SOFA was a sepsis defining score and that the qSOFA score was a predictor of increased mortality, respectively. Furthermore, 15.8% of the physicians and 1.0% of the nurses knew the three components of the qSOFA score. For patients with suspected sepsis, 96.1%, 91.6% and 75.8% of physicians respectively chose blood cultures, broad-spectrum antibiotics and fluid resuscitation as therapeutic interventions to be initiated within 1 (76.4%) to 3 (18.2%) hours. For nurses and physicians, recent training correlated with knowledge of SOFA score (ORs [95%CI]: 3.956 [2.018–7.752] and 2.617 [1.527–4.485]) and qSOFA (ORs [95%CI]: 5.804 [2.653–9.742] and 2.291 [1.342–3.910]) scores purposes. Furthermore, recent training also correlated with adequate sepsis definition (ORs [95%CI]: 1.839 [1.026–3.295]) and the components of qSOFA (ORs [95%CI]: 2.388 [1.110–5.136]) in physicians.
Conclusions

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0285151.t001(source: https://plos.figshare.com/articles/dataset/Participant_s_demographical_characteristics_/23594256)。

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。

获取专属数据定制方案