Incremental cost-effectiveness analysis
提供宫颈癌筛查中手机应用干预与传统方案的增量成本效益分析模拟数据。

基本信息
资源简介
Incremental cost-effectiveness analysis
【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 5.63 KB,主题涵盖 low screening coverage、highly curable disease、precancerous cervical lesions、limited &# 8221、increase healthcare costs,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《Incremental cost-effectiveness analysis.》。源站首次发布:2025-01-31。
【数据内容】
源站原始描述:Introduction Cervical cancer is a preventable and highly curable disease when detected early and adequately treated, yet it remains the leading cause of cancer-related death in women in Kenya due to low screening coverage and treatment. Implementing World Health Organization screening guidelines for human papillomavirus (HPV) is challenging due to the complex logistics of result return and follow-up requiring multiple clinic visits. Increasing the use of mobile technology can support follow-up c…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 5.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pone.0316001.t005。
【主题与分类】
源站学科分类:Medicine、Cell Biology、Neuroscience、Biotechnology、Cancer、Infectious Diseases。主题标签:low screening coverage、highly curable disease、precancerous cervical lesions、limited &# 8221、increase healthcare costs、based intervention compared、improving visit compliance、based behavioral pathways、estimate clinical data、cervical cancer screening。
【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/Incremental_cost-effectiveness_analysis_/28326374
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Asirwa, Fredrick Chite; Bresnahan, Brian W.; Yego, Faith; Duncan, Dana; Karichu, James K.; Garrison, Louis P. (2025). Incremental cost-effectiveness analysis.. 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:Incremental cost-effectiveness analysis.
- DOI:10.1371/journal.pone.0316001.t005
- 发布日期:2025-01-31
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Incremental_cost-effectiveness_analysis_/28326374
命令行下载
curl -L -o "Table 5.xls" "https://ndownloader.figshare.com/files/52064192"
文件清单
Table 5.xls(5.63 KB)
文件总体积 5.63 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
Introduction
Cervical cancer is a preventable and highly curable disease when detected early and adequately treated, yet it remains the leading cause of cancer-related death in women in Kenya due to low screening coverage and treatment. Implementing World Health Organization screening guidelines for human papillomavirus (HPV) is challenging due to the complex logistics of result return and follow-up requiring multiple clinic visits. Increasing the use of mobile technology can support follow-up care in cervical cancer screening programs.
Methods
We developed a prospective clinico-economic model to assess the potential impact of a mobile phone-based application (“app”) communicating laboratory results and recommendations to improve follow-up care for cervical cancer screening in Kenya. The model is structured to simulate a three-visit pathway for HPV-based screening used in a clinical trial of the app and based on epidemiological data, clinical guideline-based workflow, and patient-based behavioral pathways. Published literature, expert elicitation, and time-and-motion observations were used to estimate clinical data, care pathways, and visit-related costs. This analysis was conducted from a base-case healthcare system perspective with a scenario from a “limited” societal perspective.
Results
In a simulated cohort of women using the app-based intervention compared to conventional care, with 10,000 women in each arm, use of the app is projected to increase healthcare costs by $12.53 per enrolled woman during the trial period and to detect and treat an additional 247 women—229 with precancerous cervical lesions and 18 with cervical cancer. The incremental cost-effectiveness ratio of the app versus conventional care was $174 per case detected and treated. This would be cost-saving given the average lifetime cost per cervical cancer case of $1,000–$3,000.
Conclusion
Use of a mobile phone-based app is costlier than conventional screening but by improving visit compliance, it can be a cost-effective and cost-saving strategy to enhance detection and treatment in cervical cancer screening programs.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0316001.t005(source: https://plos.figshare.com/articles/dataset/Incremental_cost-effectiveness_analysis_/28326374)。
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。




