乌干达传染病能力建设和临床能力混合设计研究数据集

数据集获取（Figshare）

• 源站标题：Capacity-Building and Clinical Competence in Infectious Disease in Uganda: A Mixed-Design Study with Pre/Post and Cluster-Randomized Trial Components
• DOI：10.1371/journal.pone.0051319
• 发布日期：2012-12-14
• 文件数：3 个
• 文件总体积：1.10 MB
• 源站页面：https://plos.figshare.com/articles/dataset/Capacity_Building_and_Clinical_Competence_in_Infectious_Disease_in_Uganda_A_Mixed_Design_Study_with_Pre_Post_and_Cluster_Randomized_Trial_Components__/115811

命令行下载

curl -L -o "Appendix_S1.docx" "https://ndownloader.figshare.com/files/283037"
curl -L -o "Protocol_S1.doc" "https://ndownloader.figshare.com/files/283230"
curl -L -o "Checklist_S1.doc" "https://ndownloader.figshare.com/files/283411"

文件清单

• Appendix_S1.docx（63.75 KB）
• Protocol_S1.doc（813.57 KB）
• Checklist_S1.doc（221.70 KB）

文件总体积 1.10 MB（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

Trial Design
Best practices for training mid-level practitioners (MLPs) to improve global health-services are not well-characterized. Two hypotheses were: 1) Integrated Management of Infectious Disease (IMID) training would improve clinical competence as tested with a single arm, pre-post design, and 2) on-site support (OSS) would yield additional improvements as tested with a cluster-randomized trial.
Methods
Thirty-six Ugandan health facilities (randomized 1∶1 to parallel OSS and control arms) enrolled two MLPs each. All MLPs participated in IMID (3-week core course, two 1-week boost sessions, distance learning). After the 3-week course, OSS-arm trainees participated in monthly OSS. Twelve written case scenarios tested clinical competencies in HIV/AIDS, tuberculosis, malaria, and other infectious diseases. Each participant completed different randomly-assigned blocks of four scenarios before IMID (t0), after 3-week course (t1), and after second boost course (t2, 24 weeks after t1). Scoring guides were harmonized with IMID content and Ugandan national policy. Score analyses used a linear mixed-effects model. The primary outcome measure was longitudinal change in scenario scores.
Results
Scores were available for 856 scenarios. Mean correct scores at t0, t1, and t2 were 39.3%, 49.1%, and 49.6%, respectively. Mean score increases (95% CI, p-value) for t0–t1 (pre-post period) and t1–t2 (parallel-arm period) were 12.1 ((9.6, 14.6), pConclusions
Clinical competence increased significantly after a 3-week core course; improvement persisted for 24 weeks. No additional impact of OSS was observed. Data on clinical practice, facility-level performance and health outcomes will complete assessment of overall impact of IMID and OSS.
Trial Registration
ClinicalTrials.gov NCT01190540

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0051319（source: https://plos.figshare.com/articles/dataset/Capacity_Building_and_Clinical_Competence_in_Infectious_Disease_in_Uganda_A_Mixed_Design_Study_with_Pre_Post_and_Cluster_Randomized_Trial_Components__/115811）。