Linking private, for-profit providers to public sector services for HIV and tuberculosis co-infected patients: A systematic review

该数据集整理了关于HIV和结核病共感染患者的公共卫生与私营部门合作诊断与转诊服务的系统综述数据。

Figshare
2018-04-11 更新
浏览 24
文本sectorWorld Health OrganizationRRHIV-infected TB patientsreferral servicestuberculosis co-infected patientsreview Background TuberculosisTB patientsCochrane Central RegisterCICINAHL
Linking private, for-profit providers to public sector services for HIV and tuberculosis co-infected patients: A systematic review

基本信息

模态
文本
大小
0.002586742 GB
许可
CC BY 4.0
创建/更新时间
2018-04-11
版本
v1

资源简介

Linking private, for-profit providers to public sector services for HIV and tuberculosis co-infected patients: A systematic review

【数据集背景】

配套论文《Linking private, for-profit providers to public sector services for HIV and tuberculosis co-infected patients: A systematic review》发表于 PLOS ONE(2018),DOI:10.1371/journal.pone.0194960。源站首次发布:2018-04-10。

【数据内容】

源站原始描述:Background Tuberculosis (TB) is the leading cause of infectious disease deaths worldwide and is the leading cause of death among people with HIV. The World Health Organization (WHO) has called for collaboration between public and private healthcare providers to maximize integration of TB/HIV services and minimize costs. We systematically reviewed published models of public-private sector diagnostic and referral services for TB/HIV co-infected patients. Methods We searched PubMed, the Cochrane Ce…

【数据结构与技术规格】

文件数 2 个,合计 2.59 MB。S1 Fig.tif:image/tiff,1.32 MB。S2 Fig.tif:image/tiff,1.27 MB。数据集 DOI:10.1371/journal.pone.0194960。

【主题与分类】

源站学科分类:Medicine、Neuroscience、Biotechnology、Cancer、Science Policy、Infectious Diseases。主题标签:sector、World Health Organization、RR、HIV-infected TB patients、referral services、tuberculosis co-infected patients、review Background Tuberculosis、TB patients、Cochrane Central Register、CI。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://plos.figshare.com/articles/dataset/Linking_private_for-profit_providers_to_public_sector_services_for_HIV_and_tuberculosis_co-infected_patients_A_systematic_review/6122867

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

规范引用:Hudson, Mollie; W. Rutherford, George; Weiser, Sheri; Fair, Elizabeth (2018). Linking private, for-profit providers to public sector services for HIV and tuberculosis co-infected patients: A systematic review. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-03,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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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)

命令行下载

curl -L -o "S1 Fig.tif" "https://ndownloader.figshare.com/files/11046146"
curl -L -o "S2 Fig.tif" "https://ndownloader.figshare.com/files/11046152"

文件清单

  • S1 Fig.tif(1.32 MB)
  • S2 Fig.tif(1.27 MB)

文件总体积 2.59 MB(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
Tuberculosis (TB) is the leading cause of infectious disease deaths worldwide and is the leading cause of death among people with HIV. The World Health Organization (WHO) has called for collaboration between public and private healthcare providers to maximize integration of TB/HIV services and minimize costs. We systematically reviewed published models of public-private sector diagnostic and referral services for TB/HIV co-infected patients.
Methods
We searched PubMed, the Cochrane Central Register of Controlled Trials, Google Scholar, Science Direct, CINAHL and Web of Science. We included studies that discussed programs that linked private and public providers for TB/HIV concurrent diagnostic and referral services and used Review Manager (Version 5.3, 2015) for meta-analysis.
Results
We found 1,218 unduplicated potentially relevant articles and abstracts; three met our eligibility criteria. All three described public-private TB/HIV diagnostic/referral services with varying degrees of integration. In Kenya private practitioners were able to test for both TB and HIV and offer state-subsidized TB medication, but they could not provide state-subsidized antiretroviral therapy (ART) to co-infected patients. In India private practitioners not contractually engaged with the public sector offered TB/HIV services inconsistently and on a subjective basis. Those partnered with the state, however, could test for both TB and HIV and offer state-subsidized medications. In Nigeria some private providers had access to both state-subsidized medications and diagnostic tests; others required patients to pay out-of-pocket for testing and/or treatment. In a meta-analysis of the two quantitative reports, TB patients who sought care in the public sector were almost twice as likely to have been tested for HIV than TB patients who sought care in the private sector (risk ratio [RR] 1.98, 95% confidence interval [CI] 1.88–2.08). However, HIV-infected TB patients who sought care in the public sector were marginally less likely to initiate ART than TB patients who sought care from private providers (RR 0.89, 95% CI 0.78–1.03).
Conclusion
These three studies are examples of public

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0194960(source: https://plos.figshare.com/articles/dataset/Linking_private_for-profit_providers_to_public_sector_services_for_HIV_and_tuberculosis_co-infected_patients_A_systematic_review/6122867)。

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