印度结核病护理私营部门参与试点成本数据集

印度三个结核病护理私营参与试点的成本估算数据,包含每例患者的平均成本和全国扩展预算。

Figshare
2019-06-05 更新
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表格TB caseTB patientssector engagement effortsprovider engagement pilotsprivately-notified TB caseincrease case notificationsprogram implementation costsNational Strategic PlanTB elimination commitments
What would it cost to scale-up private sector engagement efforts for tuberculosis care? Evidence from three pilot programs in India

基本信息

模态
表格
大小
0.000029829 GB
许可
CC BY 4.0
创建/更新时间
2019-06-05
版本
v1

资源简介

印度结核病护理私营部门参与试点成本数据集

【数据集背景】

本数据集源站标题为《What would it cost to scale-up private sector engagement efforts for tuberculosis care? Evidence from three pilot programs in India》。配套论文《What would it cost to scale-up private sector engagement efforts for tuberculosis care? Evidence from three pilot programs in India》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0214928。源站首次发布:2019-06-05。

【数据内容】

源站原始描述:Background Private providers dominate health care in India and provide most tuberculosis (TB) care. Yet efforts to engage private providers were viewed as unsustainably expensive. Three private provider engagement pilots were implemented in Patna, Mumbai and Mehsana in 2014 based on the recommendations in the National Strategic Plan for TB Control, 2012–17. These pilots sought to improve diagnosis and treatment of TB and increase case notifications by offering free drugs and diagnostics for pati…

【数据结构与技术规格】

文件数 2 个,合计 29.83 KB。pone.0214928.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,15.03 KB。pone.0214928.s002.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,14.80 KB。数据集 DOI:10.1371/journal.pone.0214928。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Sociology、Infectious Diseases、Computational Biology。主题标签:TB case、TB patients、sector engagement efforts、provider engagement pilots、privately-notified TB case、increase case notifications、program implementation costs、National Strategic Plan、TB elimination commitments。

【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/What_would_it_cost_to_scale-up_private_sector_engagement_efforts_for_tuberculosis_care_Evidence_from_three_pilot_programs_in_India/8231591

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Deo, Sarang; Jindal, Pankaj; Gupta, Devesh; Khaparde, Sunil; Rade, Kiran; Singh Sachdeva, Kuldeep; et al. (2019). What would it cost to scale-up private sector engagement efforts for tuberculosis care? Evidence from three pilot programs in India. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-05-31,引用时请注意版本时效。

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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。

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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)

命令行下载

curl -L -o "pone.0214928.s001.docx" "https://ndownloader.figshare.com/files/15345410"
curl -L -o "pone.0214928.s002.docx" "https://ndownloader.figshare.com/files/15345413"

文件清单

  • pone.0214928.s001.docx(15.03 KB)
  • pone.0214928.s002.docx(14.80 KB)

文件总体积 29.83 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
Private providers dominate health care in India and provide most tuberculosis (TB) care. Yet efforts to engage private providers were viewed as unsustainably expensive. Three private provider engagement pilots were implemented in Patna, Mumbai and Mehsana in 2014 based on the recommendations in the National Strategic Plan for TB Control, 2012–17. These pilots sought to improve diagnosis and treatment of TB and increase case notifications by offering free drugs and diagnostics for patients who sought care among private providers, and monetary incentives for providers in one of the pilots. As these pilots demonstrated much higher levels of effectiveness than previously documented, we sought to understand program implementation costs and predict costs for their national scale-up.
Methods and findings
We developed a common cost structure across these three pilots comprising fixed and variable cost components. We conducted a retrospective, activity-based costing analysis using programmatic data and qualitative interviews with the respective program managers. We estimated the average recurring costs per TB case at different levels of program scale for the three pilots. We used these cost estimates to calculate the budget required for a national scale up of such pilots. The average cost per privately-notified TB case for Patna, Mumbai and Mehsana was estimated to be US$95, US$110 and US$50, respectively, in May 2016 when these pilots were estimated to cover 50%, 36% and 100% of the total private TB patients, respectively. For Patna and Mumbai pilots, the average cost per case at full scale, i.e. 100% coverage of private TB patients, was projected to be US$91 and US$101, respectively. In comparison, the national TB program’s budget for 2015 averages out to $150 per notified TB case. The total annual additional budget for a national scale up of these pilots was estimated to be US$267 million.
Conclusions
As India seeks to eliminate TB, extensive national engagement of private providers will be required. The cost per privately-notified TB case from these pilots is comparable to that already being spent by the public sector and to the projected cost per privatel

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0214928(source: https://plos.figshare.com/articles/dataset/What_would_it_cost_to_scale-up_private_sector_engagement_efforts_for_tuberculosis_care_Evidence_from_three_pilot_programs_in_India/8231591)。

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。

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