慢性病健康素养区域差异：聚焦医疗资源和地方灭绝指数（表1）

数据集获取（Figshare）

• 源站标题：Table_1_Regional disparities in health literacy for chronic diseases: focusing on healthcare resources and local extinction index.docx
• DOI：10.3389/fpubh.2024.1423645.s001
• 发布日期：2024-09-12
• 文件数：1 个
• 文件总体积：713.98 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Regional_disparities_in_health_literacy_for_chronic_diseases_focusing_on_healthcare_resources_and_local_extinction_index_docx/27001132

命令行下载

curl -L -o "Table_1_Regional disparities in health literacy for chronic diseases: focusing on healthcare resources and local extinction index.docx" "https://ndownloader.figshare.com/files/49142908"

文件清单

• Table_1_Regional disparities in health literacy for chronic diseases: focusing on healthcare resources and local extinction index.docx（713.98 KB）

文件总体积 713.98 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

ObjectiveThis study compared disparities between community health characteristics and health literacy levels for hypertension and diabetes by combining community-level characteristics, such as the local extinction index and healthcare resources, with individual-level characteristics based on the Andersen healthcare utilization model.
MethodData obtained from the 2017, 2019, and 2021 Community Health Surveys, Korean Statistical Information Service, and National Health Insurance Service were analyzed. The analyses included spatial analysis, propensity score matching, and cross-analysis.
ResultsTwenty-five extinction-risk regions (ERRs) were identified in 2017, 26 in 2019, and 29 in 2021, indicating a high risk of extinction and insufficient healthcare resources in non-metropolitan regions. Based on analyses of demographic changes and unmet medical needs at the individual level, we observed increased age and economic activity, decreased healthcare access, and lower education levels in ERRs compared to non-extinction-risk regions (NERRs). No significant differences were found between the regions regarding diagnosis or medication use concerning the health literacy gap for hypertension and diabetes. However, individuals in ERRs were significantly less likely than those in NERRs to be aware of such diseases or educated about their management.
DiscussionGiven that healthcare services in ERRs focus on chronic disease management rather than prevention, we propose two directions to reduce health disparities in ERRs. First, the government should encourage cooperation with private healthcare organizations to ensure the provision of health education programs in vulnerable areas. Second, improvements in awareness and education regarding chronic disease management can be achieved through digital healthcare and telemedicine. This study identifies regional disparities in chronic disease prevention and management, providing a basis for policies to ensure healthier communities with health equity.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2024.1423645.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Regional_disparities_in_health_literacy_for_chronic_diseases_focusing_on_healthcare_resources_and_local_extinction_index_docx/27001132）。