逼真模拟与医疗专业人员急性卒中护理自信心的关联:一项前后对照研究数据集

一项评估卒中逼真模拟课程对医疗专业人员急性护理自信心影响的前后对照研究数据集,包含问卷得分表格数据。

SciELO journalsSciELO journals
DataCite Commons
2021-03-24 更新
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表格StrokeHigh Fidelity Simulation TrainingEducation
Realistic simulation is associated with healthcare professionals’ increased self-perception of confidence in providing acute stroke care: a before-after controlled study

基本信息

模态
表格
大小
0.000080534 GB
许可
CC BY 4.0
创建/更新时间
2021-03-24
版本
v1

资源简介

逼真模拟与医疗专业人员急性卒中护理自信心的关联:一项前后对照研究数据集

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 4 个文件、合计 80.53 KB,主题涵盖 Stroke、High Fidelity Simulation Training、Education,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《Realistic simulation is associated with healthcare professionals’ increased self-perception of confidence in providing acute stroke care: a before-after controlled study》。配套论文《Realistic simulation is associated with healthcare professionals’ increased self-perception of confidence in providing acute stroke care: a before-after controlled study》发表于 Arquivos de Neuro-Psiquiatria(2021),DOI:10.1590/0004-282x-anp-2019-0369。源站首次发布:2021-03-24。

【数据内容】

源站原始描述:ABSTRACT Background: Simulations are becoming widely used in medical education, but there is little evidence of their effectiveness on neurocritical care. Because acute stroke is a neurological emergency demanding prompt attention, it is a promising candidate for simulation training. Objective: To assess the impact of a stroke realistic simulation course on clinicians’ self-perception of confidence in the management of acute stroke. Methods: We conducted a controlled, before-after study. For our…

【数据结构与技术规格】

文件数 4 个,合计 80.53 KB。数据集 DOI:10.6084/m9.figshare.14275971.v1。

【主题与分类】

源站学科分类:Neuroscience、Psychiatry (incl. Psychotherapy)。主题标签:Stroke、High Fidelity Simulation Training、Education。

【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://scielo.figshare.com/articles/dataset/Realistic_simulation_is_associated_with_healthcare_professionals_increased_self-perception_of_confidence_in_providing_acute_stroke_care_a_before-after_controlled_study/14275971

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

规范引用:FARIAS DA GUARDA, Suzete Nascimento; SANTOS, João Pedro Souza; REIS, Mariana Sampaio Motta; PASSOS, Rogério da Hora; CORREIA, Luis Claúdio; CALDAS, Juliana Ribeiro; et al. (2021). Realistic simulation is associated with healthcare professionals’ increased self-perception of confidence in providing…

【使用注意】

· 源站最后修改于 2023-05-31,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。

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 "1678-4227-anp-79-01-2-gf1.png" "https://ndownloader.figshare.com/files/27083880"
curl -L -o "1678-4227-anp-79-01-2-gf2.png" "https://ndownloader.figshare.com/files/27083883"
curl -L -o "Table_1.xls" "https://ndownloader.figshare.com/files/27083886"
curl -L -o "Table_2.xls" "https://ndownloader.figshare.com/files/27083889"

文件清单

  • 1678-4227-anp-79-01-2-gf1.png(32.16 KB)
  • 1678-4227-anp-79-01-2-gf2.png(37.11 KB)
  • Table_1.xls(5.63 KB)
  • Table_2.xls(5.63 KB)

文件总体积 80.53 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

ABSTRACT Background: Simulations are becoming widely used in medical education, but there is little evidence of their effectiveness on neurocritical care. Because acute stroke is a neurological emergency demanding prompt attention, it is a promising candidate for simulation training. Objective: To assess the impact of a stroke realistic simulation course on clinicians’ self-perception of confidence in the management of acute stroke. Methods: We conducted a controlled, before-after study. For our intervention, 17 healthcare professionals participated in a stroke realistic simulation course. As controls, participants were chosen from a convenience sample of attendees to the courses Emergency Neurologic Life Support (ENLS) (18 participants) and Neurosonology (20 participants). All participants responded pre- and post-test questionnaires evaluating their self-perception of confidence in acute stroke care, ranging from 10 to 50 points. We evaluated the variation between pre- and post-test results to assess the change on trainees’ self-perception of confidence in the management of acute stroke. Multivariate analysis was performed to control for potential confounders. Results: Forty-six (83.63%) subjects completed both questionnaires. The post-test scores were higher than those from the pretests in the stroke realistic simulation course group [pretest median (interquartile range - IQR): 41.5 (36.7-46.5) and post-test median (IQR): 47 (44.7-48); p=0.033], but not in the neurosonology [pretest median (IQR): 46 (44-47) and post-test median (IQR): 46 (44-47); p=0.739] or the ENLS [pretest median (IQR): 46.5 (39-48.2), post-test median (IQR): 47 (40.2-49); p=0.317] groups. Results were maintained after adjustment for covariates. Conclusions: This stroke realistic simulation course was associated with an improvement on trainees’ self-perception of confidence in providing acute stroke care.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.14275971.v1(source: https://scielo.figshare.com/articles/dataset/Realistic_simulation_is_associated_with_healthcare_professionals_increased_self-perception_of_confidence_in_providing_acute_stroke_care_a_before-after_controlled_study/14275971)。

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。

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