加拿大医疗提供者对多发性硬化症护理看法的定性研究数据集

加拿大医疗提供者对多发性硬化症护理看法的定性研究数据集,包含开放式调查回答的补充表格。

NIAID Data Ecosystem
浏览 15
文本multiple sclerosisteam-based caremultidisciplinarymodels of careCanadaqualitative
Table_1_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf

基本信息

模态
文本
大小
0.0001046 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

加拿大医疗提供者对多发性硬化症护理看法的定性研究数据集

【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 104.60 KB,主题涵盖 multiple sclerosis、team-based care、multidisciplinary、models of care、Canada,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_1_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf》。配套论文《Models of Care in Multiple Sclerosis: A Survey of Canadian Health Providers》发表于 Frontiers in Neurology(2022),DOI:10.3389/fneur.2022.904757。源站首次发布:2023-03-02。

【数据内容】

源站原始描述:ObjectiveThe literature that has examined healthcare access and needs of the multiple sclerosis (MS) population is limited. Currently, no research has engaged healthcare providers delivering services to this population to examine their perspectives on the provision of MS care in Canada. We aimed to summarize what good MS care should look like according to Canadian healthcare providers working with people with MS, and to identify the supports and resources required, within their care setting, to…

【数据结构与技术规格】

文件数 1 个,合计 104.60 KB。Table_1_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf:application/pdf,104.60 KB。数据集 DOI:10.3389/fneur.2023.1101521.s001。

【主题与分类】

源站学科分类:Neurology and Neuromuscular Diseases、Neurogenetics。主题标签:multiple sclerosis、team-based care、multidisciplinary、models of care、Canada、qualitative。

【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_1_Good_multiple_sclerosis_MS_care_and_how_to_get_there_in_Canada_Perspectives_of_Canadian_healthcare_providers_working_with_persons_with_MS_pdf/22198909

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

规范引用:Petrin, Julie; Marrie, Ruth Ann; Devonshire, Virginia; Jichici, Draga; Hrebicek, Olinka; Metz, Luanne M.; et al. (2023). Table_1_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-11,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。

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_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf" "https://ndownloader.figshare.com/files/39452056"

文件清单

  • Table_1_Good multiple sclerosis (MS) care and how to get there in Canada: Perspectives of Canadian healthcare providers working with persons with MS.pdf(104.60 KB)

文件总体积 104.60 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

ObjectiveThe literature that has examined healthcare access and needs of the multiple sclerosis (MS) population is limited. Currently, no research has engaged healthcare providers delivering services to this population to examine their perspectives on the provision of MS care in Canada. We aimed to summarize what good MS care should look like according to Canadian healthcare providers working with people with MS, and to identify the supports and resources required, within their care setting, to enable this standard of care.
MethodsA qualitative descriptive approach was taken to analyze data from participants who responded to additional open-ended survey questions, within a larger “MS Models of Care Survey” targeting Canadian healthcare providers working with persons with MS.
ResultsCurrently, a gap exists between what healthcare providers working with persons with MS believe MS care should encompass and what they are able to offer. Participants emphasized that their MS clinics are currently understaffed and patient-to-provider ratios are high, leaving very little time to address the array of healthcare concerns their patients present with. The healthcare providers overwhelmingly described that moving toward multidisciplinary team-based MS care that includes appropriate numbers of MS-trained neurologists, nurses, physiotherapists, occupational therapists, and mental health providers working within one location would be their prioritized approach to comprehensively managing MS care. This model of care enables all professionals to effectively coordinate care and use their time efficiently by only focusing on their area of expertise, all while meeting the needs of their patient in one setting, reducing wait-times and improving overall care.
ConclusionTo meet the care needs of Canadians with MS, the healthcare system must consider standardizing and funding multidisciplinary team-based MS clinics, comparable to Stroke units, which continue to show favorable health outcomes after years of implementation.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2023.1101521.s001(source: https://frontiersin.figshare.com/articles/dataset/Table_1_Good_multiple_sclerosis_MS_care_and_how_to_get_there_in_Canada_Perspectives_of_Canadian_healthcare_providers_working_with_persons_with_MS_pdf/22198909)。

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