中国医疗成本估算框架的开发与应用:以宫颈癌为例
基于中国各省统计数据和宏观指标估算宫颈癌医疗成本的数据集,用于成本效果分析。

基本信息
资源简介
中国医疗成本估算框架的开发与应用:以宫颈癌为例
【数据集背景】
本数据集源站标题为《Development and application of a framework to estimate health care costs in China: The cervical cancer example》。配套论文《Development and application of a framework to estimate health care costs in China: The cervical cancer example》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0222760。源站首次发布:2019-10-01。
【数据内容】
源站原始描述:Objectives Information on healthcare costs in low-and-middle-income countries is limited. This study presents a framework to perform healthcare cost estimates for each province in China. Methods This study has two aims. Using cervical cancer as an example, the first aim is to use data (including micro-costing data) from one province to derive estimates for other provinces in China. This used provincial and national Chinese-language statistical reports and considered levels of service delivery, h…
【数据结构与技术规格】
文件数 13 个,合计 367.27 KB。pone.0222760.s001.pdf:application/pdf,20.73 KB。pone.0222760.s002.pdf:application/pdf,27.73 KB。pone.0222760.s003.pdf:application/pdf,31.33 KB。数据集 DOI:10.1371/journal.pone.0222760。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签:Human Development Index、CKC、VIA、province-specific healthcare costs、reference costs、HDI、method、regression modelling characterised、healthcare cost estimates、GDP。
【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/Development_and_application_of_a_framework_to_estimate_health_care_costs_in_China_The_cervical_cancer_example/9925523
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Liu, Yi-Jun; Keane, Adam; Simms, Kate T.; Lew, Jie-Bin; Shi, Ju-Fang; Mazariego, Carolyn; et al. (2019). Development and application of a framework to estimate health care costs in China: The cervical cancer example. 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:Development and application of a framework to estimate health care costs in China: The cervical cancer example
- DOI:10.1371/journal.pone.0222760
- 发布日期:2019-10-01
- 文件数:13 个
- 文件总体积:367.27 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Development_and_application_of_a_framework_to_estimate_health_care_costs_in_China_The_cervical_cancer_example/9925523
命令行下载
curl -L -o "pone.0222760.s001.pdf" "https://ndownloader.figshare.com/files/17857934"
curl -L -o "pone.0222760.s002.pdf" "https://ndownloader.figshare.com/files/17857937"
curl -L -o "pone.0222760.s003.pdf" "https://ndownloader.figshare.com/files/17857940"
curl -L -o "pone.0222760.s004.pdf" "https://ndownloader.figshare.com/files/17857943"
curl -L -o "pone.0222760.s005.pdf" "https://ndownloader.figshare.com/files/17857946"
curl -L -o "pone.0222760.s006.docx" "https://ndownloader.figshare.com/files/17857949"
curl -L -o "pone.0222760.s007.docx" "https://ndownloader.figshare.com/files/17857952"
curl -L -o "pone.0222760.s008.docx" "https://ndownloader.figshare.com/files/17857955"
文件清单
pone.0222760.s001.pdf(20.73 KB)pone.0222760.s002.pdf(27.73 KB)pone.0222760.s003.pdf(31.33 KB)pone.0222760.s004.pdf(66.85 KB)pone.0222760.s005.pdf(61.62 KB)pone.0222760.s006.docx(18.71 KB)pone.0222760.s007.docx(15.68 KB)pone.0222760.s008.docx(16.38 KB)pone.0222760.s009.docx(16.85 KB)pone.0222760.s010.docx(20.09 KB)pone.0222760.s011.docx(18.00 KB)pone.0222760.s012.xlsx(34.44 KB)pone.0222760.s013.docx(18.85 KB)
文件总体积 367.27 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
Objectives
Information on healthcare costs in low-and-middle-income countries is limited. This study presents a framework to perform healthcare cost estimates for each province in China.
Methods
This study has two aims. Using cervical cancer as an example, the first aim is to use data (including micro-costing data) from one province to derive estimates for other provinces in China. This used provincial and national Chinese-language statistical reports and considered levels of service delivery, hospital-seeking behaviour, and the urban/rural population distribution. The second aim is to characterise the relationship between the reference costs estimated using the method mentioned above and two sets of cost estimates derived using simplified cost-scaling method with per capita Gross Domestic Product (GDP), and the Human Development Index (HDI). For simplified methods, regression modelling characterised the relationship between province-specific healthcare costs and macro-economic indicators, then we used the exponential fit to extrapolate costs.
Results
Using the reference method, the estimated costs were found to vary substantially by urban/rural regions and between provinces; the ratios of highest to lowest provincial costs were 3.5 for visual inspection with acetic acid (VIA), 4.4 for cold knife conisation (CKC) and 4.6 for stage II cancer treatment. The HDI-based scaling method generally resulted in a better fit to reference costs than the GDP method.
Conclusions
These reference costs for cervical cancer can inform cost-effectiveness evaluation of cervical screening and HPV vaccination in China. HDI-based methods for cost-scaling-based on social, as well as purely economic, factors-have potential to provide more accurate estimates.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0222760(source: https://plos.figshare.com/articles/dataset/Development_and_application_of_a_framework_to_estimate_health_care_costs_in_China_The_cervical_cancer_example/9925523)。
数据缺失?
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