全科医疗中患者与机构特征对2型糖尿病治疗质量变异的作用数据集

数据集获取（Figshare）

• 源站标题：Role of Patient and Practice Characteristics in Variance of Treatment Quality in Type 2 Diabetes between General Practices
• DOI：10.1371/journal.pone.0166012
• 发布日期：2016-11-02
• 文件数：2 个
• 文件总体积：177.81 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Role_of_Patient_and_Practice_Characteristics_in_Variance_of_Treatment_Quality_in_Type_2_Diabetes_between_General_Practices/4203522

命令行下载

curl -L -o "S1 Appendix.PDF" "https://ndownloader.figshare.com/files/6860280"
curl -L -o "S2 Appendix.PDF" "https://ndownloader.figshare.com/files/6860283"

文件清单

• S1 Appendix.PDF（155.43 KB）
• S2 Appendix.PDF（22.38 KB）

文件总体积 177.81 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
Accounting for justifiable variance is important for fair comparisons of treatment quality. The variance between general practices in treatment quality of type 2 diabetes (T2DM) patients may be attributed to the underlying patient population and practice characteristics. The objective of this study is to describe the between practice differences in treatment, and identify patient and practice level characteristics that may explain these differences.
Methods
The data of 24,607 T2DM patients from 183 general practices in the Netherlands were used. Treatment variance was assessed in a cross-sectional manner for: glucose-lowering drugs/metformin, lipid-lowering drugs/statins, blood pressure-lowering drugs/ACE-inhibitor or ARB. Patient characteristics tested were age, gender, diabetes duration, comorbidity, comedication. Practice characteristics were number of T2DM patients, practice type, diabetes assistant available. Multilevel logistic regression was used to examine the between practice variance in treatment and the effect of characteristics on this variance.
Results
Treatment rates varied considerably between practices (IQR 9.5–13.9). The variance at practice level was 7.5% for glucose-lowering drugs, 3.6% for metformin, 3.1% for lipid-lowering drugs, 10.3% for statins, 8.6% for blood pressure-lowering drugs, and 3.9% for ACE-inhibitor/ARB. Patient and practice characteristics explained 19.0%, 7.5%, 20%, 6%, 9.9%, and 13.4% of the variance respectively. Age, multiple chronic drugs, and ≥3 glucose-lowering drugs were the most relevant patient characteristics. Number of T2DM patients per practice was the most relevant practice characteristic.
Discussion
Considerable differences exist between practices in treatment rates. Patients’ age was identified as characteristic that may account for justifiable differences in especially lipid-lowering treatment. Other patient or practice characteristics either do not explain or do not justify the differences.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0166012（source: https://plos.figshare.com/articles/dataset/Role_of_Patient_and_Practice_Characteristics_in_Variance_of_Treatment_Quality_in_Type_2_Diabetes_between_General_Practices/4203522）。