VLRR数据

马拉维HIV病毒载量数字结果返回平台的评估数据,包含周转时间和打开率。

Figshare
2026-01-21 更新
浏览 25
文本分类xlink "> malawisignificant delays persistreturning viral loadreduce turnaround timepotential cost savingsoverall open ratemixed methods evaluationmalawi &# 8217existing emr systemsachieve national scale7 million usd600 people living
VLRR Data

基本信息

模态
文本
大小
0.000254245 GB
任务类型
分类
许可
CC BY 4.0
创建/更新时间
2026-01-21
版本
v1

资源简介

VLRR数据

【数据集背景】

本数据集源站标题为《VLRR Data.》。源站首次发布:2026-01-21。

【数据内容】

源站原始描述:Malawi has 991,600 people living with HIV and has expanded access to annual HIV viral load testing to enhance care quality for clients. However, significant delays persist in returning viral load (VL) results back to facilities and to clients. To address this, we implemented a digital VL results return (VLRR) application, using existing mobile phone platforms to expedite results return to clients and healthcare providers (HCPs).VLRR is a digital SMS/USSD platform leveraging mobile phones to redu…

主表 pdig.0001094.s002.csv 含 11 列、样本前 2000 行结构完整。

【数据结构与技术规格】

文件数 1 个,合计 254.25 KB。pdig.0001094.s002.csv:text/csv,254.25 KB。数据集 DOI:10.1371/journal.pdig.0001094.s002。

【主题与分类】

源站学科分类:Space Science、Medicine、Biotechnology、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签:xlink "> malawi、significant delays persist、returning viral load、reduce turnaround time、potential cost savings、overall open rate、mixed methods evaluation、malawi &# 8217、existing emr systems、achieve national scale。

【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。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/_p_VLRR_Data_p_/31116742

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

规范引用:Haggard, Rachel; Mwase, Christopher; Klyn, Brandon; Metz, Lynn; Smith, Tyler; Cooper, Hannah; et al. (2026). VLRR Data.. PLOS Digital Health. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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 "pdig.0001094.s002.csv" "https://ndownloader.figshare.com/files/61199239"

文件清单

  • pdig.0001094.s002.csv(254.25 KB)

文件总体积 254.25 KB(源站 API 实测)。

数据说明

Malawi has 991,600 people living with HIV and has expanded access to annual HIV viral load testing to enhance care quality for clients. However, significant delays persist in returning viral load (VL) results back to facilities and to clients. To address this, we implemented a digital VL results return (VLRR) application, using existing mobile phone platforms to expedite results return to clients and healthcare providers (HCPs).VLRR is a digital SMS/USSD platform leveraging mobile phones to reduce turnaround time (TAT) and improve access to VL results. To evaluate the VLRR intervention, we: (1) estimated the TAT for digital results return, (2) calculated open rates of digital results, (3) conducted a mixed methods evaluation with VLRR users, and (4) estimated the potential cost savings from avoiding unnecessary sample redraws. From April 2022 to June 2024, HCPs registered 4,067 clients. For each client, TAT was calculated separately for the periods before and after enrollment in the VLRR system. On average during this period, clients received results in 128 days before VLRR enrollment and 48.5 days after enrollment, reflecting a 62.4% improvement. By July 2023, VLRR clients and HCPs received results in an average of 30 and 38 days. The overall open rate for digital results (opened by either a client or HCP) was 60% and nearly 100% of clients and HCPs indicated they wanted to the application to continue. Lastly, if VLRR were scaled nationally, it has the potential cost savings of $1.8-6.7 million USD.VLRR is effective in reducing TAT and improving access to VL results. To enhance uptake and achieve national scale, VLRR can be integrated into Malawi’s existing EMR systems, further reducing TAT and enabling HCPs to deliver higher quality care and improve clinical outcomes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pdig.0001094.s002(source: https://plos.figshare.com/articles/dataset/_p_VLRR_Data_p_/31116742)。

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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