Data_Sheet_3_学术健康科学网络在英格兰COVID-19疫情期间的快速实施实践

英格兰学术健康科学网络在COVID-19疫情期间快速实施实践的研究数据,包含焦点小组讨论文本。

NIAID Data Ecosystem
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文本rapid implementationCOVID-19healthcaresocial careinnovationimplementation strategiescontextmechanisms
Data_Sheet_3_Academic health science networks' experiences with rapid implementation practice during the COVID-19 pandemic in England.PDF

基本信息

模态
文本
大小
0.000096409 GB
许可
CC BY 4.0
创建/更新时间
2026-10-07
版本
v1

资源简介

Data_Sheet_3_学术健康科学网络在英格兰COVID-19疫情期间的快速实施实践

【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 96.41 KB,主题涵盖 rapid implementation、COVID-19、healthcare、social care、innovation,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《Data_Sheet_3_Academic health science networks'' experiences with rapid implementation practice during the COVID-19 pandemic in England.PDF》。配套论文《Developing Robust, Sustainable, Implementation Systems Using Rigorous, Rapid and Relevant Science》发表于 Clinical and Translational Science(2012),DOI:10.1111/j.1752-8062.2011.00383.x。源站首次发布:2022-08-04。

【数据内容】

源站原始描述:The COVID-19 pandemic offered a “natural laboratory” to learn about rapid implementation of health and social care innovations in an altered implementation context. Our aim was to explore implementation practice of Academic Health Science Networks (AHSN) in the English National Health System during the first wave of the COVID-19 pandemic through a rapid implementation lens. We organized three 90-min, online, semi-structured focus groups with 26 operational and senior managerial staff from 14 AHS…

【数据结构与技术规格】

文件数 1 个,合计 96.41 KB。Data_Sheet_3_Academic health science networks'' experiences with rapid implementation practice during the COVID-19 pandemic in England.PDF:application/pdf,96.41 KB。数据集 DOI:10.3389/frhs.2022.943527.s003。

【主题与分类】

源站学科分类:Health Information Systems (incl. Surveillance)、Primary Health Care、Public Health and Health Services not elsewhere classified、Health Care、Health Economics。主题标签:rapid implementation、COVID-19、healthcare、social care、innovation、implementation strategies、context、mechanisms。

【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/Data_Sheet_3_Academic_health_science_networks_experiences_with_rapid_implementation_practice_during_the_COVID-19_pandemic_in_England_PDF/20428704

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

规范引用:Ziemann, Alexandra; Sibley, Andrew; Scarbrough, Harry; Tuvey, Sam; Robens, Sarah (2022). Data_Sheet_3_Academic health science networks'' experiences with rapid implementation practice during the COVID-19 pandemic in England.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

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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。

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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 "Data_Sheet_3_Academic health science networks'' experiences with rapid implementation practice during the COVID-19 pandemic in England.PDF" "https://ndownloader.figshare.com/files/36551751"

文件清单

  • Data_Sheet_3_Academic health science networks'' experiences with rapid implementation practice during the COVID-19 pandemic in England.PDF(96.41 KB)

文件总体积 96.41 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

The COVID-19 pandemic offered a “natural laboratory” to learn about rapid implementation of health and social care innovations in an altered implementation context. Our aim was to explore implementation practice of Academic Health Science Networks (AHSN) in the English National Health System during the first wave of the COVID-19 pandemic through a rapid implementation lens. We organized three 90-min, online, semi-structured focus groups with 26 operational and senior managerial staff from 14 AHSNs in June-July 2020. Participants were recruited purposefully and on a voluntary basis. Participants presented a case study about their approaches to implementing innovations between March-June 2020 and discussed their experiences and lessons learned. The focus groups were audio-recorded and transcribed verbatim. Transcripts and other documents were analyzed using qualitative thematic analysis following a combination of grounded theory and framework analysis approach. AHSNs increased the pace of their implementation work to support the response to the COVID-19 pandemic. The disruptive event changed the implementation context which enabled rapid implementation through an urgency for change, the need to adhere to social distancing rules, new enabling governance structures, and stakeholders’’ reduced risk averseness toward change. AHSNs achieved rapid implementation through: (1) An agile and adaptive implementation approach; (2) Accelerating existing innovations and building on existing relationships/networks; (3) Remote stakeholder engagement; and (4) Ensuring quality, safety, rigor and sustainability, and generating new evidence through rapid evaluations. AHSNs aimed at sustaining implementation pace and efficiency after the acute phase of the pandemic mainly through remote stakeholder engagement and flexibility of implementation strategies.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/frhs.2022.943527.s003(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_3_Academic_health_science_networks_experiences_with_rapid_implementation_practice_during_the_COVID-19_pandemic_in_England_PDF/20428704)。

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