中国癌症患者医疗利用与灾难性医疗支出相关因素数据

数据集获取（Figshare）

• 源站标题：Table_1_Factors associated with health care utilization and catastrophic health expenditure among cancer patients in China: Evidence from the China health and retirement longitudinal study.DOCX
• DOI：10.3389/fpubh.2022.943271.s001
• 发布日期：2022-11-10
• 文件数：1 个
• 文件总体积：20.62 KB
• 源站页面：https://frontiersin.figshare.com/articles/dataset/Table_1_Factors_associated_with_health_care_utilization_and_catastrophic_health_expenditure_among_cancer_patients_in_China_Evidence_from_the_China_health_and_retirement_longitudinal_study_DOCX/21530196

命令行下载

curl -L -o "Table_1_Factors associated with health care utilization and catastrophic health expenditure among cancer patients in China: Evidence from the China he.DOCX" "https://ndownloader.figshare.com/files/38164896"

文件清单

• Table_1_Factors associated with health care utilization and catastrophic health expenditure among cancer patients in China: Evidence from the China he.DOCX（20.62 KB）

文件总体积 20.62 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

BackgroundCancer, the leading cause of mortality in China, is a significant burden on patients, their families, the medical system, and society at large. However, there is minimal data on health service utilization and catastrophic health expenditure (CHE) among cancer patients in China. The objective of this study was to identify factors associated with health care utilization and CHE in Chinese cancer patients.
MethodsThe 2018 wave of a nationally representative dataset, the China Health and Retirement Longitudinal Study, was used in our study. Of 18,968 respondents recruited for the analysis, 388 were clinically diagnosed with cancer. CHE was defined as household health expenditure that exceeded 40% of non-food household expenses. A binary logistic regression model was used to identify the risks of cancer exposure among all participants, along with the likelihood of CHE in households with cancer patients at the 40% threshold. A negative binomial regression model was used to identify determinants of health service utilization among cancer patients.
ResultsContracting a family physician (incidence rate ratio IRR: 2.38, 1.18–4.77), Urban Employee Basic Medical Insurance (IRR: 4.02, 1.91–8.46, compared to the uninsured), Urban and Rural Resident Basic Medical Insurance (IRR: 3.08, 1.46–6.49, compared to the uninsured), and higher per-capita household consumption were positively associated with inpatient service utilization. Patients with a college education and above reported a greater number of outpatient visits (IRR: 5.78, 2.56–13.02) but fewer inpatient hospital days (IRR: 0.37, 0.20–0.67). Being diagnosed with a non-cancer chronic non-communicable disease was associated with an increased number of outpatient visits (IRR: 1.20, 1.10–1.31). Of the 388 participants, 50.1% of households had CHE, which was negatively correlated with a larger household size (odds ratio OR: 0.52, 0.32–0.86) and lower socioeconomic status [for quintile 5 (lowest group) OR: 0.32, 0.14–0.72].
ConclusionsThe socioeconomic characteristics of cancer patients had a considerable impact on their healthcare utilization. Individualized and targeted strategies for cancer management should be im

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2022.943271.s001（source: https://frontiersin.figshare.com/articles/dataset/Table_1_Factors_associated_with_health_care_utilization_and_catastrophic_health_expenditure_among_cancer_patients_in_China_Evidence_from_the_China_health_and_retirement_longitudinal_study_DOCX/21530196）。