动员注册数据改进质量:脊髓损伤的收敛混合方法分析及应用(表1)
以脊髓损伤为例,通过系统综述和访谈,探索利用注册数据库数据改进复杂慢性疾病护理质量的策略,数据为论文表1。

基本信息
资源简介
动员注册数据改进质量:脊髓损伤的收敛混合方法分析及应用(表1)
【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 12.35 KB,主题涵盖 quality improvement、patient registry data、interdisiciplinary teams、spinal cord injury (SCI)、complex chronic conditions,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《Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx》。配套论文《A Look at Traumatic Spinal Cord Injury in Canada: Rick Hansen Spinal Cord Registry (RHSCIR)》发表于 The Journal of Spinal Cord Medicine(2017),DOI:10.1080/10790268.2017.1387124。源站首次发布:2023-04-03。
【数据内容】
源站原始描述:IntroductionThe rising prevalence of complex chronic conditions and growing intricacies of healthcare systems emphasizes the need for interdisciplinary partnerships to advance coordination and quality of rehabilitation care. Registry databases are increasingly used for clinical monitoring and quality improvement (QI) of health system change. Currently, it is unclear how interdisciplinary partnerships can best mobilize registry data to support QI across care settings for complex chronic condition…
【数据结构与技术规格】
文件数 1 个,合计 12.35 KB。Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.35 KB。数据集 DOI:10.3389/fresc.2023.899630.s001。
【主题与分类】
源站学科分类:Rehabilitation and Therapy (excl. Physiotherapy)、Disability Studies、Animal Structure and Function、Health Care、Physiotherapy。主题标签:quality improvement、patient registry data、interdisiciplinary teams、spinal cord injury (SCI)、complex chronic conditions。
【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/Table1_Mobilizing_registry_data_for_quality_improvement_A_convergent_mixed-methods_analysis_and_application_to_spinal_cord_injury_docx/22494073
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Krysa, Jacqueline A.; Manhas, Kiran J. Pohar; Loyola-Sanchez, Adalberto; Casha, Steve; Burns, Katharina Kovacs; Charbonneau, Rebecca; et al. (2023). Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx. Frontiers. Dat…
【使用注意】
· 源站最后修改于 2023-06-02,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:Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx
- DOI:10.3389/fresc.2023.899630.s001
- 发布日期:2023-04-03
- 文件数:1 个
- 文件总体积:12.35 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table1_Mobilizing_registry_data_for_quality_improvement_A_convergent_mixed-methods_analysis_and_application_to_spinal_cord_injury_docx/22494073
命令行下载
curl -L -o "Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx" "https://ndownloader.figshare.com/files/39949138"
文件清单
Table1_Mobilizing registry data for quality improvement: A convergent mixed-methods analysis and application to spinal cord injury.docx(12.35 KB)
文件总体积 12.35 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
IntroductionThe rising prevalence of complex chronic conditions and growing intricacies of healthcare systems emphasizes the need for interdisciplinary partnerships to advance coordination and quality of rehabilitation care. Registry databases are increasingly used for clinical monitoring and quality improvement (QI) of health system change. Currently, it is unclear how interdisciplinary partnerships can best mobilize registry data to support QI across care settings for complex chronic conditions.
PurposeWe employed spinal cord injury (SCI) as a case study of a highly disruptive and debilitating complex chronic condition, with existing registry data that is underutilized for QI. We aimed to compare and converge evidence from previous reports and multi-disciplinary experts in order to outline the major elements of a strategy to effectively mobilize registry data for QI of care for complex chronic conditions.
MethodsThis study used a convergent parallel-database variant mixed design, whereby findings from a systematic review and a qualitative exploration were analyzed independently and then simultaneously. The scoping review used a three-stage process to review 282 records, which resulted in 28 articles reviewed for analysis. Concurrent interviews were conducted with multidisciplinary-stakeholders, including leadership from condition-specific national registries, members of national SCI communities, leadership from SCI community organizations, and a person with lived experience of SCI. Descriptive analysis was used for the scoping review and qualitative description for stakeholder interviews.
ResultsThere were 28 articles included in the scoping review and 11 multidisciplinary-stakeholders in the semi-structured interviews. The integration of the results allowed the identification of three key learnings to enhance the successful design and use of registry data to inform the planning and development of a QI initiative: enhance utility and reliability of registry data; form a steering committee lead by clinical champions; and design effective, feasible, and sustainable QI initiatives.
ConclusionThis study highlights the importance of interdisciplinary partnerships t
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fresc.2023.899630.s001(source: https://frontiersin.figshare.com/articles/dataset/Table1_Mobilizing_registry_data_for_quality_improvement_A_convergent_mixed-methods_analysis_and_application_to_spinal_cord_injury_docx/22494073)。
数据缺失?
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