口腔-全身健康整合：关于共同风险因素方法和跨学科模型的政策简报-44148

数据集获取（Figshare）

• 源站标题：<b>Oral-Systemic Health Integration: A Policy Brief on Common Risk Factor Approach and Interdisciplinary Models</b>
• DOI：10.6084/m9.figshare.29185196.v3
• 发布日期：2025-07-04
• 文件数：3 个
• 文件总体积：511.29 KB
• 源站页面：https://figshare.com/articles/dataset/_b_Oral-Systemic_Health_Integration_A_Policy_Brief_on_Common_Risk_Factor_Approach_and_Interdisciplinary_Models_b_/29185196

命令行下载

curl -L -o "Master file-de-identified.xls" "https://ndownloader.figshare.com/files/55991282"
curl -L -o "Response from dental practitioners.csv" "https://ndownloader.figshare.com/files/55991459"
curl -L -o "Response from medical practitioners.csv" "https://ndownloader.figshare.com/files/55991462"

文件清单

• Master file-de-identified.xls（403.46 KB）
• Response from dental practitioners.csv（64.20 KB）
• Response from medical practitioners.csv（43.63 KB）

文件总体积 511.29 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
Non-communicable diseases (NCDs) account for 71% of global mortality, with 63% of deaths in India attributed to these conditions. Periodontal disease (PD), a chronic immune-inflammatory disorder affecting oral health, significantly contributes to the national burden, impacting productivity and healthcare expenditures. Despite the inclusion of oral cancer management in India’'s National Program for Prevention and Control of NCDs (2023-2030), PD remains overlooked. The lack of resilience in the Indian oral healthcare system exacerbates the challenge, highlighting the need for integrating medical and dental care to improve early detection, prevention, and management of both systemic and oral diseases.
Policy and implications
The policy includes adopting CRFA for cost-effective disease management, integrating periodontal health assessments into NCD surveillance, and fostering interdisciplinary collaboration. This will facilitate strengthening of medical-dental integration (MDI) through shared financing models, referral systems, and co-located services which in turn can enhance healthcare outcomes and reduce the disease burden in India.
Recommendations
Adopting CRFA and Implementing Medical-Dental Integration through:
Ø Incorporating periodontal health assessments into NCD surveillance frameworks.
Ø Leveraging existing community-based NCD detection tools by adding periodontal health indicators.
Ø Fostering interdisciplinary collaboration through referral systems, co-located services, and shared financing models.
Conclusion
NCDs, including periodontal disease, pose a significant health and economic burden in India. Despite PD’s established links with systemic conditions, it remains underrecognized in national health initiatives. The CRFA offers a pragmatic solution by targeting shared risk factors, yet its implementation is hindered by systemic barriers. To address this gap, integrating medical and dental care through a structured Medical-Dental Integration (MDI) model is crucial. Policy efforts must prioritize CRFA adoption, embed periodontal assessments in NCD surveillance, and promote interdisciplinary collaboration. Strengthening these strategies can lea

许可

CC0

引用

学术使用请引用 DOI 10.6084/m9.figshare.29185196.v3（source: https://figshare.com/articles/dataset/_b_Oral-Systemic_Health_Integration_A_Policy_Brief_on_Common_Risk_Factor_Approach_and_Interdisciplinary_Models_b_/29185196）。