表1_澳大利亚新南威尔士州北部农村远程卒中网络中改善卒中照护需要结构化策略：一项观察性研究.PDF

数据集获取（Figshare）

• 源站标题：Table_1_The Need for Structured Strategies to Improve Stroke Care in a Rural Telestroke Network in Northern New South Wales, Australia: An Observational Study.PDF
• DOI：10.3389/fneur.2021.645088.s002
• 发布日期：2021-04-09
• 文件数：1 个
• 文件总体积：470.38 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_The_Need_for_Structured_Strategies_to_Improve_Stroke_Care_in_a_Rural_Telestroke_Network_in_Northern_New_South_Wales_Australia_An_Observational_Study_PDF/14391890

命令行下载

curl -L -o "Table_1_The Need for Structured Strategies to Improve Stroke Care in a Rural Telestroke Network in Northern New South Wales, Australia: An Observation.PDF" "https://ndownloader.figshare.com/files/27498107"

文件清单

• Table_1_The Need for Structured Strategies to Improve Stroke Care in a Rural Telestroke Network in Northern New South Wales, Australia: An Observation.PDF（470.38 KB）

文件总体积 470.38 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: A telestroke network in Northern New South Wales, Australia has been developed since 2017. We theorized that the telestroke network development would drive a progressive improvement in stroke care metrics over time.
Aim: This study aimed to describe changes in acute stroke workflow metrics over time to determine whether they improved with network experience.
Methods: We prospectively collected data of patients assessed by telestroke who received multimodal computed tomography (mCT) and were diagnosed with ischemic stroke or transient ischemic attack from January 2017 to July 2019. The period was divided into two phases (phase 1: January 2017 – October 2018 and phase 2: November 2018 – July 2019). We compared median door-to-call, door-to-image, and door-to-decision time between the two phases.
Results: We included 433 patients (243 in phase 1 and 190 in phase 2). Each spoke site treated 1.5–5.2 patients per month. There were Door-to-call time (median 39 in phase 1, 35 min in phase 2, p = 0.18), and door-to-decision time (median 81.5 vs. 83 min, p = 0.31) were not improved significantly. Similarly, in the reperfusion therapy subgroup, door-to-call time (median 29 vs. 24.5 min, p = 0.12) and door-to-decision time (median 70.5 vs. 67.5 min, p = 0.75) remained substantially unchanged. Regression analysis showed no association between time in the network and door-to-decision time (coefficient 1.5, p = 0.32).
Conclusion: In our telestroke network, acute stroke timing metrics did not improve over time. There is the need for targeted education and training focusing on both stroke reperfusion competencies and the technical aspects of telestroke in areas with limited workforce and high turnover.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2021.645088.s002（source: https://frontiersin.figshare.com/articles/dataset/Table_1_The_Need_for_Structured_Strategies_to_Improve_Stroke_Care_in_a_Rural_Telestroke_Network_in_Northern_New_South_Wales_Australia_An_Observational_Study_PDF/14391890）。