中国广西141家医院心血管疾病住院费用关联因素评估数据集
2013-2016年广西141家医院约76万份心血管疾病住院费用数据,分析费用趋势及关联因素。

基本信息
资源简介
中国广西141家医院心血管疾病住院费用关联因素评估数据集
【数据集背景】
本数据集源站标题为《Assessment of potential factors associating with costs of hospitalizing cardiovascular diseases in 141 hospitals in Guangxi, China》。配套论文《Assessment of potential factors associating with costs of hospitalizing cardiovascular diseases in 141 hospitals in Guangxi, China》发表于 PLOS ONE(2017),DOI:10.1371/journal.pone.0173451。源站首次发布:2017-03-16。
【数据内容】
源站原始描述:Background The rising cost of healthcare is of great concern in China, as evidenced by the media features negative reports almost daily. However there are only a few studies from well-developed cities, like Beijing or Shanghai, and little is known about healthcare costs in rest of the country. In this study, we use hospitalization summary reports (HSRs) from admitted cardiovascular diseases patients in Guangxi hospitals during 2013–2016, and we investigate temporal trends of healthcare costs and…
【数据结构与技术规格】
文件数 2 个,合计 432.00 KB。S1 Fig.tif:image/tiff,413.56 KB。S1 Table.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,18.44 KB。数据集 DOI:10.1371/journal.pone.0173451。
【主题与分类】
源站学科分类:Medicine、Genetics、Neuroscience、Biotechnology、Evolutionary Biology、Developmental Biology。主题标签:CPS、HSR、factor、Interpretations Healthcare costs、CPD、Han patients、minority patients use、use hospitalization summary reports、drug costs account、healthcare costs。
【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/Assessment_of_potential_factors_associating_with_costs_of_hospitalizing_cardiovascular_diseases_in_141_hospitals_in_Guangxi_China/4759729
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Zhou, Li-fang; Zhang, Mao-xin; Kong, Ling-qian; Liu, Jun-jun; Feng, Qi-ming; Lu, Wei; et al. (2017). Assessment of potential factors associating with costs of hospitalizing cardiovascular diseases in 141 hospitals in Guangxi, China. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-01,引用时请注意版本时效。
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:Assessment of potential factors associating with costs of hospitalizing cardiovascular diseases in 141 hospitals in Guangxi, China
- DOI:10.1371/journal.pone.0173451
- 发布日期:2017-03-16
- 文件数:2 个
- 文件总体积:432.00 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Assessment_of_potential_factors_associating_with_costs_of_hospitalizing_cardiovascular_diseases_in_141_hospitals_in_Guangxi_China/4759729
命令行下载
curl -L -o "S1 Fig.tif" "https://ndownloader.figshare.com/files/7820005"
curl -L -o "S1 Table.xlsx" "https://ndownloader.figshare.com/files/7820047"
文件清单
S1 Fig.tif(413.56 KB)S1 Table.xlsx(18.44 KB)
文件总体积 432.00 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
The rising cost of healthcare is of great concern in China, as evidenced by the media features negative reports almost daily. However there are only a few studies from well-developed cities, like Beijing or Shanghai, and little is known about healthcare costs in rest of the country. In this study, we use hospitalization summary reports (HSRs) from admitted cardiovascular diseases patients in Guangxi hospitals during 2013–2016, and we investigate temporal trends of healthcare costs and associated factors.
Methods
By generalized additive model, we compute temporal trends of cost per stay (CPS), cost per day (CPD) and others. We then use generalized linear models to assess which factors associate with CPS and CPD.
Findings
Using a total of 760,000 HSRs, we find that CPS appears to be stabilized around $1040 until the middle of year 2015, before exhibiting a downward trend. Similarly, CPD exhibits similar stable pattern. Meanwhile, surgery-specific CPS showed an increase in year 2013–2014, and then stabilized. Drug costs account for over 1/3 of CPS, but they are gradually declining. Costs associated with physicians’ and nurses’ services represent less than 5% of CPS.
We found that age, sex, marital status, occupation and payment methods are significantly associated with CPS or CPD. Interestingly, we found no association between patient ethnicity and these costs. However, we did find that minority patients use more secondary hospitals than Han patients.
Interpretations
Healthcare costs in Guangxi are stable, contrary to the rise portrayed by Chinese mass media. Several factors can be associated with healthcare costs, and these may be useful for developing evidence-based policies. In particular, there is a need to encourage more Han patients to seek care in primary and secondary hospitals.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0173451(source: https://plos.figshare.com/articles/dataset/Assessment_of_potential_factors_associating_with_costs_of_hospitalizing_cardiovascular_diseases_in_141_hospitals_in_Guangxi_China/4759729)。
数据缺失?
依托陕西、四川两大基地,我们与超过十家三甲医院建立直接合作关系,覆盖合规授权、采集治理、专业标注、数据交付的全流程,为AI医疗团队提供即拿即用的高质量临床数据。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




