Study characteristics.
低中收入国家HIV病毒载量即时监测实施研究的系统综述特征数据集。

基本信息
资源简介
Study characteristics.
【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 26.11 KB,主题涵盖 reduced turnaround time、qualitatively synthesised peer、lmics ), resulting、improved clinic retention、following mesh terms,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】
源站首次发布:2026-02-04。
【数据内容】
源站原始描述:Background Viral load monitoring has rapidly increased among people living with HIV(PLHIV) in low- and middle-income countries (LMICs), resulting in an increased laboratory workload. The use of innovative Point of Care (PoC) or near Point of Care (n)PoC HIV Viral Load (HIV VL) monitoring has enabled improved patient care, a reduction in laboratory workload, improved clinic retention and reduced turnaround time of results. However, implementation bottlenecks of such methods are uncertain, especia…
【数据结构与技术规格】
文件数 1 个,合计 26.11 KB。Table 1.xls:application/vnd.ms-excel,26.11 KB。数据集 DOI:10.1371/journal.pone.0313802.t001。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Science Policy、Infectious Diseases、Virology。主题标签:reduced turnaround time、qualitatively synthesised peer、lmics ), resulting、improved clinic retention、following mesh terms、fig 1 presents、93 per test、65 per test、identified studies published、increased laboratory workload。
【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/_p_Study_characteristics_p_/31257082
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Msoka, Perry; Swai, Iraseni; Ngowi, Kennedy; Reis, Ria; Lekic, Andreja; Mmbaga, Blandina T.; et al. (2026). Study characteristics.. 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:<p>Study characteristics.</p>
- DOI:10.1371/journal.pone.0313802.t001
- 发布日期:2026-02-04
- 文件数:1 个
- 文件总体积:26.11 KB
- 源站页面:https://plos.figshare.com/articles/dataset/_p_Study_characteristics_p_/31257082
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/61645849"
文件清单
Table 1.xls(26.11 KB)
文件总体积 26.11 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
Viral load monitoring has rapidly increased among people living with HIV(PLHIV) in low- and middle-income countries (LMICs), resulting in an increased laboratory workload. The use of innovative Point of Care (PoC) or near Point of Care (n)PoC HIV Viral Load (HIV VL) monitoring has enabled improved patient care, a reduction in laboratory workload, improved clinic retention and reduced turnaround time of results. However, implementation bottlenecks of such methods are uncertain, especially when PoC or (n)PoC is implemented in remote areas in low-volume clinics.
Objectives
The main aim of this study was to review implementation research outcomes of (n)PoC HIV VL monitoring for PLHIV in LMICs.
Methods
We qualitatively synthesised peer-reviewed papers to explore implementation research outcomes (IROs) of (n)PoC HIV VL monitoring. We identified studies published between January 2013 and June 2024. We used the IROs described by Proctor et al., which are acceptability, adoption, appropriateness, cost, feasibility, fidelity, penetration and sustainability. We searched using the following Mesh terms: Point of care testing, HIV, viral load, acceptability, patient acceptance of health care, adoption, facilities and services utilisation, appropriateness, cost, feasibility, fidelity, penetration, coverage, sustainability and continuity of patient care through PubMed, Cochrane and Scopus. The PRISMA diagram in the Fig 1 presents the selection process of included papers.
Results
Twenty studies reported implementation outcomes of PoC or (n)PoC HIV VL monitoring. Near PoC HIV VL monitoring using GeneXpert is considered acceptable to patients and healthcare providers. Point of care HIV VL monitoring using mPIMA was feasible as patients received the results the same day. From a health service provider’s perspective, PoC HIV VL monitoring was acceptable because it influenced patients to accept the illness and adhere to medication. Additionally, there was high testing coverage in routine PoC HIV VL monitoring centres. Fidelity was questionable in some settings due to (n)PoC HIV VL monitoring results not being delivered as intended. Additionally, we found in several studies
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0313802.t001(source: https://plos.figshare.com/articles/dataset/_p_Study_characteristics_p_/31257082)。
数据缺失?
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