中国东南部中风患者住院费用：一项基于人群的回顾性队列研究，2019-2022（数据表1）

数据集获取（Figshare）

• 源站标题：Data Sheet 1_Hospitalization costs in patients with stroke in southeastern China: a retrospective population-based cohort study, 2019–2022.docx
• DOI：10.3389/fpubh.2024.1442171.s001
• 发布日期：2024-11-08
• 文件数：1 个
• 文件总体积：23.41 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Hospitalization_costs_in_patients_with_stroke_in_southeastern_China_a_retrospective_population-based_cohort_study_2019_2022_docx/27635160

命令行下载

curl -L -o "Data Sheet 1_Hospitalization costs in patients with stroke in southeastern China: a retrospective population-based cohort study, 2019–2022.docx" "https://ndownloader.figshare.com/files/50307996"

文件清单

• Data Sheet 1_Hospitalization costs in patients with stroke in southeastern China: a retrospective population-based cohort study, 2019–2022.docx（23.41 KB）

文件总体积 23.41 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

IntroductionStroke remains a predominant cause of mortality and accounts for one-third of all stroke-related fatalities worldwide. Increasing expenses associated with stroke are a matter of significant concern; however, this aspect has been insufficiently examined.
MethodsThe purpose of this study was to analyze in-hospital stroke costs and explore potential factors influencing them across stroke subtypes. The records of stroke patients from 50 hospitals in southeastern China between 2019 and 2022 were reviewed using multistage stratified cluster random sampling. We focused on the cost patterns of four stroke types and used multivariate linear regression to identify cost determinants.
ResultsA total of 417 (1.1%) patients had subarachnoid hemorrhage (SAH), 9309 (25.9%) had intracerebral hemorrhage (ICH), 22,248 (61.8%) had ischemic stroke (IS), and 4025 had transient ischemic attack (TIA). The number of stroke patients has sharply increased since the onset of COVID-19, with a majority of them being male (72.2%). Despite the fact that hospitalization costs are highest in tertiary hospitals (Chinese yuan [CNY] 30610.8/United States dollar [USD] 4551.0, interquartile range [IQR] 9944.9, 29668.4/1478.6, 4410.9), the majority of patients are admitted to tertiary hospitals (74.6%) or public hospitals (90.2%). Across all stroke subtypes, patients with SAH had the highest costs (CNY 93,454.9/USD13894.4, IQR 12273.2, 169920.0/1824.7, 25262.8), followed by those with ICH (CNY 48,724.2/USD 7244.0, IQR 16789.6, 57540.7/2496.2, 8554.8), IS (CNY 26,550.3/USD3947.4, IQR 8684.2, 28697.7/1291.1, 4266.6), and TIA (CNY 11,170.1/USD1660.7, IQR 6823.7, 12965.2/1014.5, 1927.6). Therapy fees comprised a significant portion of costs in ICH and IS cases (47.9% and 42.7%, respectively). Materials accounted for the highest proportion of expenses for SAH (56.1%), whereas patients with TIA spent more time on examinations (34.1%). Linear regression analysis revealed that length of stay (LOS), stroke subtype, hospital level, and stroke type were key factors influencing hospitalization costs
DiscussionThe visiting rate and charges were highest in tertiary public hospitals, and hospitalization

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2024.1442171.s001（source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Hospitalization_costs_in_patients_with_stroke_in_southeastern_China_a_retrospective_population-based_cohort_study_2019_2022_docx/27635160）。