中风溶栓治疗实施案例研究(表2)
马来西亚医院静脉溶栓治疗急性中风实施决定因素案例研究数据集,包含访谈、调查和医疗记录回顾数据。

基本信息
资源简介
中风溶栓治疗实施案例研究(表2)
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 33.90 KB,主题涵盖 acute stroke care、intravenous thrombolysis、developing countries、translational research、facilitator,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX》。配套论文《Presentation, Evaluation, Management, and Outcomes of Acute Stroke in Low- and Middle-Income Countries: A Systematic Review and Meta-Analysis》发表于 Neuroepidemiology(2018),DOI:10.1159/000491442。源站首次发布:2022-11-24。
【数据内容】
源站原始描述:IntroductionTranslation of evidence into clinical practice for use of intravenous thrombolysis in acute stroke care has been slow, especially across low- and middle-income countries. In Malaysia where the average national uptake was poor among the public hospitals in 2018, one hospital intriguingly showed comparable thrombolysis rates to high-income countries. This study aimed to explore and provide in-depth understanding of factors and explanations for the high rates of intravenous stroke throm…
【数据结构与技术规格】
文件数 1 个,合计 33.90 KB。Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX:application/vnd.openxmlformats-officedocument.wordprocessingml.document,33.90 KB。数据集 DOI:10.3389/fneur.2022.1048807.s002。
【主题与分类】
源站学科分类:Neurology and Neuromuscular Diseases、Neurogenetics。主题标签:acute stroke care、intravenous thrombolysis、developing countries、translational research、facilitator、barrier。
【适用方向】
文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。
【获取与许可】
源站页面:https://frontiersin.figshare.com/articles/dataset/Table_2_Stroke_thrombolysis_in_a_middle-income_country_A_case_study_exploring_the_determinants_of_its_implementation_DOCX/21615879
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Hwong, Wen Yea; Ng, Sock Wen; Tong, Seng Fah; Rahman, Norazida Ab; Law, Wan Chung; Kaman, Zurainah; et al. (2022). Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX. Frontiers. Dataset
【使用注意】
· 源站最后修改于 2023-06-12,引用时请注意版本时效。
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:Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX
- DOI:10.3389/fneur.2022.1048807.s002
- 发布日期:2022-11-24
- 文件数:1 个
- 文件总体积:33.90 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_2_Stroke_thrombolysis_in_a_middle-income_country_A_case_study_exploring_the_determinants_of_its_implementation_DOCX/21615879
命令行下载
curl -L -o "Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX" "https://ndownloader.figshare.com/files/38309247"
文件清单
Table_2_Stroke thrombolysis in a middle-income country: A case study exploring the determinants of its implementation.DOCX(33.90 KB)
文件总体积 33.90 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
IntroductionTranslation of evidence into clinical practice for use of intravenous thrombolysis in acute stroke care has been slow, especially across low- and middle-income countries. In Malaysia where the average national uptake was poor among the public hospitals in 2018, one hospital intriguingly showed comparable thrombolysis rates to high-income countries. This study aimed to explore and provide in-depth understanding of factors and explanations for the high rates of intravenous stroke thrombolysis in this hospital.
MethodsThis single case study sourced data using a multimethod approach: (1) semi-structured in-depth interviews and focus group discussions, (2) surveys, and (3) review of medical records. The Tailored Implementation of Chronic Diseases (TICD) framework was used as a guide to understand the determinants of implementation. Twenty-nine participants comprising the Hospital Director, neurologists, emergency physicians, radiologists, pharmacists, nurses and medical assistants (MAs) were included. Thematic analyses were conducted inductively before triangulated with quantitative analyses and document reviews.
ResultsFavorable factors contributing to the uptake included: (1) cohesiveness of team members which comprised of positive interprofessional team dynamics, shared personal beliefs and values, and passionate leadership, and (2) facilitative work process through simplification of workflow and understanding the rationale of the sense of urgency. Patient factors was a limiting factor. Almost two third of ischemic stroke patients arrived at the hospital outside the therapeutic window time, attributing patients’’ delayed presentation as a main barrier to the uptake of intravenous stroke thrombolysis. One other barrier was the availability of resources, although this was innovatively optimized to minimize its impact on the uptake of the therapy. As such, potential in-hospital delays accounted for only 3.8% of patients who missed the opportunity to receive thrombolysis.
ConclusionsDespite the ongoing challenges, the success in implementing intravenous stroke thrombolysis as standard of care was attributed to the cohesiveness of team members and having fac
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fneur.2022.1048807.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_2_Stroke_thrombolysis_in_a_middle-income_country_A_case_study_exploring_the_determinants_of_its_implementation_DOCX/21615879)。
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。




