改善乌干达感染性疾病护理中的设施绩效：含前后对照与整群随机试验组件的混合设计研究

数据集获取（Figshare）

• 源站标题：Improving Facility Performance in Infectious Disease Care in Uganda: A Mixed Design Study with Pre/Post and Cluster Randomized Trial Components
• DOI：10.1371/journal.pone.0103017
• 发布日期：2014-08-18
• 文件数：4 个
• 文件总体积：909.84 KB
• 源站页面：https://plos.figshare.com/articles/dataset/_Improving_Facility_Performance_in_Infectious_Disease_Care_in_Uganda_A_Mixed_Design_Study_with_Pre_Post_and_Cluster_Randomized_Trial_Components_/1142742

命令行下载

curl -L -o "Table_S1.docx" "https://ndownloader.figshare.com/files/1640049"
curl -L -o "Table_S2.docx" "https://ndownloader.figshare.com/files/1640050"
curl -L -o "Checklist_S1.docx" "https://ndownloader.figshare.com/files/1640051"
curl -L -o "Protocol_S1.doc" "https://ndownloader.figshare.com/files/1640052"

文件清单

• Table_S1.docx（33.89 KB）
• Table_S2.docx（36.78 KB）
• Checklist_S1.docx（25.60 KB）
• Protocol_S1.doc（813.57 KB）

文件总体积 909.84 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

Background
The effects of two interventions, Integrated Management of Infectious Disease (IMID) training program and On-Site Support (OSS), were tested on 23 facility performance indicators for emergency triage assessment and treatment (ETAT), malaria, pneumonia, tuberculosis, and HIV.
Methods
The trial was implemented in 36 primary care facilities in Uganda. From April 2010, two mid-level practitioners per facility participated in IMID training. Eighteen of 36 facilities were randomly assigned to Arm A, and received OSS in 2010 (nine monthly two-day sessions); 18 facilities assigned to Arm B did not receive OSS in 2010. Data were collected from Nov 2009 to Dec 2010 using a revised Ministry of Health outpatient medical form and nine registers. We analyzed the effect of IMID training alone by measuring changes before and during IMID training in Arm B, the combined effect of IMID training and OSS by measuring changes in Arm A, and the incremental effect of OSS by comparing changes across Arms A and B.
Results
IMID training was associated with statistically significant improvement in three indicators: outpatients triaged (adjusted relative risks (aRR) = 1.29, 99%CI = 1.01,1.64), emergency and priority patients admitted, detained, or referred (aRR = 1.59, 99%CI = 1.04,2.44), and pneumonia suspects assessed (aRR = 2.31, 99%CI = 1.50,3.55). IMID training and OSS combined was associated with improvements in six indicators: three ETAT indicators (outpatients triaged (aRR = 2.03, 99%CI = 1.13,3.64), emergency and priority patients admitted, detained or referred (aRR = 3.03, 99%CI = 1.40,6.56), and emergency patients receiving at least one appropriate treatment (aRR = 1.77, 99%CI = 1.10,2.84)); two malaria indicators (malaria cases receiving appropriate antimalarial (aRR = 1.50, 99%CI = 1.04,2.17), and patients with negative malaria test results prescribed antimalarial (aRR = 0.67, 99%CI = 0.46,0.97)); and enrollment in HIV care (aRR = 1.58, 99%CI = 1.32,1.89). OSS was associated with incremental improvement in emergency patients receiving at least one appropriate treatment (adjusted ratio of RR = 1.84,99%CI = 1.09,3.12).
Conclusion
The trial showed that the OSS intervent

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0103017（source: https://plos.figshare.com/articles/dataset/_Improving_Facility_Performance_in_Infectious_Disease_Care_in_Uganda_A_Mixed_Design_Study_with_Pre_Post_and_Cluster_Randomized_Trial_Components_/1142742）。