识别农村医院癌症护理质量循证干预核心功能数据集

数据集获取（Figshare）

• 源站标题：Data_Sheet_1_Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals.docx
• DOI：10.3389/frhs.2022.891574.s001
• 发布日期：2022-04-28
• 文件数：1 个
• 文件总体积：685.66 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Identifying_Core_Functions_of_an_Evidence-Based_Intervention_to_Improve_Cancer_Care_Quality_in_Rural_Hospitals_docx/19670562

命令行下载

curl -L -o "Data_Sheet_1_Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals.docx" "https://ndownloader.figshare.com/files/34931496"

文件清单

• Data_Sheet_1_Identifying Core Functions of an Evidence-Based Intervention to Improve Cancer Care Quality in Rural Hospitals.docx（685.66 KB）

文件总体积 685.66 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

BackgroundRural patients experience worse cancer survival outcomes than urban patients despite similar incidence rates, due in part to significant barriers to accessing quality cancer care. Community hospitals in non-metropolitan/rural areas play a crucial role in providing care to patients who desire and are able to receive care locally. However, rural community hospitals typically face challenges to providing comprehensive care due to lack of resources. The University of Kentucky’‘s Markey Cancer Center Affiliate Network (MCCAN) is an effective complex, multi-level intervention, improving cancer care in rural/under-resourced hospitals by supporting them in achieving American College of Surgeons Commission on Cancer (CoC) standards. With the long-term goal of adapting MCCAN for other rural contexts, we aimed to identify MCCAN’‘s core functions (i.e., the components key to the intervention’'s effectiveness/implementation) using theory-driven qualitative data research methods.
MethodsWe conducted eight semi-structured virtual interviews with administrators, coordinators, clinicians, and certified tumor registrars from five MCCAN affiliate hospitals that were not CoC-accredited prior to joining MCCAN. Study team members coded interview transcripts and identified themes related to how MCCAN engaged affiliate sites in improving care quality (intervention functions) and implementing CoC standards (implementation functions) and analyzed themes to identify core functions. We then mapped core functions onto existing theories of change and presented the functions to MCCAN leadership to confirm validity and completeness of the functions.
ResultsIntervention core functions included: providing expertise and templates for achieving accreditation, establishing a culture of quality-improvement among affiliates, and fostering a shared goal of quality care. Implementation core functions included: fostering a sense of community and partnership, building trust between affiliates and Markey, providing information and resources to increase feasibility and acceptability of meeting CoC standards, and mentoring and empowering administrators and clinicians to champion implementation.
Concl

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/frhs.2022.891574.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Identifying_Core_Functions_of_an_Evidence-Based_Intervention_to_Improve_Cancer_Care_Quality_in_Rural_Hospitals_docx/19670562）。