斯洛文尼亚糖尿病相关直接医疗支出：基于人口水平数据的近期演变与未来预测

数据集获取（Figshare）

• 源站标题：Direct diabetes-related healthcare expenditures in Slovenia: recent evolution and future projections based on population-level data
• DOI：10.6084/m9.figshare.24968345.v1
• 发布日期：2024-01-09
• 文件数：4 个
• 文件总体积：5.98 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Direct_diabetes-related_healthcare_expenditures_in_Slovenia_recent_evolution_and_future_projections_based_on_population-level_data/24968345

命令行下载

curl -L -o "Diabetes burden Supplemental material_031023.docx" "https://ndownloader.figshare.com/files/43969715"
curl -L -o "Supplemental material_Figure 1.tiff" "https://ndownloader.figshare.com/files/43969718"
curl -L -o "Supplemental material_Figure 2.tiff" "https://ndownloader.figshare.com/files/43969721"
curl -L -o "Supplemental material_Figure 3.tiff" "https://ndownloader.figshare.com/files/43969724"

文件清单

• Diabetes burden Supplemental material_031023.docx（78.89 KB）
• Supplemental material_Figure 1.tiff（1.47 MB）
• Supplemental material_Figure 2.tiff（4.10 MB）
• Supplemental material_Figure 3.tiff（328.34 KB）

文件总体积 5.98 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

The burden of diabetes on individuals, healthcare systems, and society must be explored to improve and sustain diabetes care. With this aim, we estimated both past and future diabetes-related direct health expenditures in Slovenia.
Analysis of expenditures from the healthcare payer perspective during the 2019–2022 period was based on individual patient data on expenditures for seven groups of diabetes-related medical conditions from the population-level database of the Health Insurance Institute of Slovenia. Expenditure projections were prepared using the European Commission’s methodology for budgetary projections.
In the 2019–2022 period, average annual diabetes-related expenditures equaled €174.1 million (€1,108 per patient), with their average annual growth rate reaching 12.5%. Expenditures due to inpatient care (33%) and drugs used in diabetes (24%) had the highest shares. More than half of the expenditures were due to complications of diabetes. The diabetes-related expenditures as a share of GDP are projected to increase by 19.2% from 2019 to 2030, with slower yet continued growth up to 2050.
Diabetes-related expenditures in Slovenia continue to rise. By focusing on the prevention and optimal management of diabetes, its impact on the healthcare system could be reduced significantly, given the magnitude of expenditures attributed to complications.
Diabetes is a chronic metabolic disease characterized by elevated blood sugar levels, leading to serious damage to the heart, blood vessels, eyes, kidneys, and nerves. The number of patients with diabetes has been increasing and accounted for about 10% of the world’s population aged 20–79 years in 2021. Diabetes and its complications also represent a substantial economic burden for individuals, healthcare systems, and society. Using data extracted from the database of the Health Insurance Institute of Slovenia, we looked at the direct healthcare expenditures related to diabetes over the 2019–2022 period and estimated their future trends. During the observed period, the average annual diabetes-related expenditures from the healthcare payer perspective equaled €174.1 million (€1,108 per patient), with their avera

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.24968345.v1（source: https://tandf.figshare.com/articles/dataset/Direct_diabetes-related_healthcare_expenditures_in_Slovenia_recent_evolution_and_future_projections_based_on_population-level_data/24968345）。