性传播感染在线检测:一种预测价值的整体系统方法

伦敦性健康服务数据,分析在线性传播感染检测对整体系统成本与诊断的影响。

Figshare
2019-02-22 更新
浏览 14
表格value Background Online testingchange STI testing behaviourlevel clinic attendanceshealth economySTI testingConclusions Online servicesSTI testing activityhealth service activity
Online testing for sexually transmitted infections: A whole systems approach to predicting value

基本信息

模态
表格
大小
0.000198834 GB
许可
CC BY 4.0
创建/更新时间
2019-02-22
版本
v1

资源简介

性传播感染在线检测:一种预测价值的整体系统方法

【数据集背景】

本数据集源站标题为《Online testing for sexually transmitted infections: A whole systems approach to predicting value》。配套论文《Online testing for sexually transmitted infections: A whole systems approach to predicting value》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0212420。源站首次发布:2019-02-22。

【数据内容】

源站原始描述:Background Online testing for sexually transmitted infections has a lower unit cost than testing in clinical services and economic analysis has focused on the cost per test and cost per diagnosis in clinics and online. However, online services generate new demand for testing and shift activity between services, requiring system-level analysis to effectively predict cost-effectiveness. Methods and findings Routinely collected, anonymised, retrospective data on sexual health service activity from…

【数据结构与技术规格】

文件数 2 个,合计 198.83 KB。pone.0212420.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,12.82 KB。pone.0212420.s002.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,186.01 KB。数据集 DOI:10.1371/journal.pone.0212420。

【主题与分类】

源站学科分类:Medicine、Molecular Biology、Biotechnology、Sociology、Science Policy、Infectious Diseases。主题标签:value Background Online testing、change STI testing behaviour、level clinic attendances、health economy、STI testing、Conclusions Online services、STI testing activity、health service activity。

【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/Online_testing_for_sexually_transmitted_infections_A_whole_systems_approach_to_predicting_value/7761437

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

规范引用:Turner, Katy M. E.; J. Looker, Katharine; Syred, Jonathan; Zienkiewicz, Adam; Baraitser, Paula (2019). Online testing for sexually transmitted infections: A whole systems approach to predicting value. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-07,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。

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)

命令行下载

curl -L -o "pone.0212420.s001.docx" "https://ndownloader.figshare.com/files/14447912"
curl -L -o "pone.0212420.s002.xlsx" "https://ndownloader.figshare.com/files/14447918"

文件清单

  • pone.0212420.s001.docx(12.82 KB)
  • pone.0212420.s002.xlsx(186.01 KB)

文件总体积 198.83 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
Online testing for sexually transmitted infections has a lower unit cost than testing in clinical services and economic analysis has focused on the cost per test and cost per diagnosis in clinics and online. However, online services generate new demand for testing and shift activity between services, requiring system-level analysis to effectively predict cost-effectiveness.
Methods and findings
Routinely collected, anonymised, retrospective data on sexual health service activity from all specialist services (clinic and online) within an inner London sexual health economy were collated and harmonised to generate a complete dataset of individual level clinic attendances. Clinic activity and diagnoses were coded using nationally standardised codes assigned by clinicians. Costs were taken from locally or regionally agreed sexual health tariffs. The introduction of online services changed patterns of testing. In an inner London sexual health economy, online STI testing increased total number of tests, the total cost of testing and total diagnoses while slightly reducing the average cost per diagnosis. Two years after the introduction of online services 37% of tests in the were provided online and total diagnoses increased. The positivity of online services is generally lower than that in clinics but varies between contexts. Where the positivity ratio between clinic and online is less than the cost ratio, online services will reduce cost per diagnosis. In this analysis, areas with different classifications as urban and rural had different clinic/online positivity ratios changing the cost effectiveness between areas. Even after the introduction of online services, simple STI testing activity continues in clinics and providers should consider online-first options where clinically appropriate.
Conclusions
Online services for STI testing are not ‘stand alone’. They change STI testing behaviour with impacts on all elements of the sexual health economy. Planning, development and monitoring of such services should reference the dynamic nature of these systems and the role of online services within them.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0212420(source: https://plos.figshare.com/articles/dataset/Online_testing_for_sexually_transmitted_infections_A_whole_systems_approach_to_predicting_value/7761437)。

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