GBD数据集(肌肉骨骼疾病)
基于GBD 2021数据,构建肌肉骨骼疾病护理质量指数(QCI),评估全球204个国家1990-2021年的疾病负担与护理质量趋势。

基本信息
资源简介
GBD数据集(肌肉骨骼疾病)
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 73.44 MB,主题涵盖 multidimensional evaluation framework、g ., vanuatu、g ., italy、central african republic、adjusted life years,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《GBD dataset (1).》。源站首次发布:2025-10-31。
【数据内容】
源站原始描述:Background Musculoskeletal disorders (MSDs) represent a global primary cause of disability, affecting over 1.69 billion individuals and accounting for over 160 million disability-adjusted life years (DALYs) in 2021. Conventional metrics assess care quality inadequately, necessitating a multidimensional evaluation framework. Thus, this study introduces a novel metric — the Quality of Care Index (QCI) — to comprehensively evaluate the MSD landscape. Objective To develop a novel QCI for MSDs and ev…
【数据结构与技术规格】
文件数 1 个,合计 73.44 MB。数据集 DOI:10.1371/journal.pone.0335235.s001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Ecology、Cancer、Science Policy、Infectious Diseases。主题标签:multidimensional evaluation framework、g ., vanuatu、g ., italy、central african republic、adjusted life years、69 billion individuals、global primary cause、649 &# 8211、dalys occurred globally、dalys correlated positively。
【适用方向】
结构化表格数据可直接用于统计建模、特征工程与队列分析。
【获取与许可】
源站页面:https://plos.figshare.com/articles/dataset/GBD_dataset_1_/30502723
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Xia, Zhicong; Wang, Jiangguang; Wen, Xia (2025). GBD dataset (1).. PLOS ONE. Dataset
下载信息
注册下载
需要注册 Kaggle 账号并登录后下载,适合需要跟踪下载记录和使用 API 的用户。
暂未开放公开下载
无需注册即可直接获取公开样本或文档,适合快速预览和评估数据集质量。
免登录有偿下载
公开数据集受托下载与技术交付服务。
提供高速下载与技术交付服务(收技术服务费,非数据销售)
暂未开放当前数据集主要来源为 Kaggle 公开托管,完整影像包建议通过原始链接或 Kaggle API 获取。
使用方式
数据集获取(Figshare)
- 源站标题:GBD dataset (1).
- DOI:10.1371/journal.pone.0335235.s001
- 发布日期:2025-10-31
- 文件数:1 个
- 文件总体积:73.44 MB
- 源站页面:https://plos.figshare.com/articles/dataset/GBD_dataset_1_/30502723
命令行下载
curl -L -o "pone.0335235.s001.csv" "https://ndownloader.figshare.com/files/59213647"
文件清单
pone.0335235.s001.csv(73.44 MB)
文件总体积 73.44 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
Background
Musculoskeletal disorders (MSDs) represent a global primary cause of disability, affecting over 1.69 billion individuals and accounting for over 160 million disability-adjusted life years (DALYs) in 2021. Conventional metrics assess care quality inadequately, necessitating a multidimensional evaluation framework. Thus, this study introduces a novel metric — the Quality of Care Index (QCI) — to comprehensively evaluate the MSD landscape.
Objective
To develop a novel QCI for MSDs and evaluate global trends, disparities, and drivers from 1990 to 2021.
Methods
Using Global Burden of Disease (GBD) 2021 data across 204 countries, we constructed a composite QCI integrating four domains: Pain Relief Rate(PRR), Opioid Use Rate(OUR), Need-Independent Coverage(NIC), and Patient Satisfaction(PS). These were standardized into a single index using Principal Component Analysis (PCA). Trends were analyzed via Estimated Annual Percentage Change (EAPC), with disparities assessed by Socio-Demographic Index (SDI) and geography.
Results
Significant increases in MSDs prevalence (over 12.7% of low back pain; near doubling of osteoarthritis) and DALYs occurred globally, driven by aging populations. Geographic Paradox: Lower- and middle-income countries (LMICs; e.g., Vanuatu, Nicaragua, Central African Republic) achieved higher QCI scores than high-income nations (e.g., Italy, Germany, Japan). QCI improved in LMICs (notably for osteoarthritis/neck pain) but stagnated or even declined in high-income regions. DALYs correlated positively with SDI (R = 0.649–0.863; p Conclusion
The QCI scores reveal critical relationship between MSDs burden and care quality. High-income regions experience challenges of opioid overuse and stagnant patient satisfaction, while LMICs express gains in access and perceived relief. Implementing context-stratified strategies — de-implementing low-value care in high-SDI areas while scaling evidence-based access in resource-constrained regions — constitutes a critical pathway to equitably alleviate the global MSDs burden.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0335235.s001(source: https://plos.figshare.com/articles/dataset/GBD_dataset_1_/30502723)。
数据缺失?
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