非实验室人员在HIV项目中执行诊断检测和标本收集的表现：一项系统综述和荟萃分析

数据集获取（Figshare）

• 源站标题：Performance of non-laboratory staff for diagnostic testing and specimen collection in HIV programs: A systematic review and meta-analysis
• DOI：10.1371/journal.pone.0216277
• 发布日期：2019-05-02
• 文件数：2 个
• 文件总体积：151.89 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Performance_of_non-laboratory_staff_for_diagnostic_testing_and_specimen_collection_in_HIV_programs_A_systematic_review_and_meta-analysis/8071571

命令行下载

curl -L -o "pone.0216277.s001.docx" "https://ndownloader.figshare.com/files/15040730"
curl -L -o "pone.0216277.s002.tif" "https://ndownloader.figshare.com/files/15040733"

文件清单

• pone.0216277.s001.docx（25.80 KB）
• pone.0216277.s002.tif（126.09 KB）

文件总体积 151.89 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
In most high HIV burden countries, many HIV patients do not have reliable access to required diagnostic laboratory tests. Task shifting of clinical tasks to lower cadres of health care workers and lay counselors has been successful in scaling up treatment for HIV and may also be an effective strategy in expanding access to essential diagnostic testing.
Methods
We screened major electronic databases between 1 January 2005 to 26 August 2018 to identify studies assessing ease of use and accuracy of task shifting of HIV-related diagnostic testing and/or specimen collection to non-laboratory health staff. Two independent reviewers screened all titles and abstracts for studies that analyzed diagnostic accuracy, patient impact, ease-of-use, or cost-effectiveness. Studies were assessed for quality, bias, and applicability following the QUADAS-2 framework. We generated summary estimates using random-effects meta-analyses.
Results
We identified 42 relevant studies. Overall, point-of-care CD4 testing performed by non-laboratory staff had a mean bias of -54.44 (95% CI: -72.40 –-36.48) compared to conventional laboratory-based. Though studies were limited, the diagnostic accuracy of point-of-care alanine transaminase enzyme (ALT) and hemoglobin testing performed by non-laboratory staff was comparable to conventional laboratory-based testing by laboratory professionals. Point-of-care testing and/or specimen collection were generally found to be acceptable and easy to use for non-laboratory staff.
Conclusions
Task shifting of testing using point-of-care technologies to non-laboratory staff was comparable to laboratory professionals operating the same technology in the laboratory. Some variability was observed comparing the performance of point-of-care CD4 testing by non-laboratory staff to conventional laboratory-based technologies by laboratory professionals indicating potential lower performance was likely technological rather than operator caused. The benefits of task shifting of testing may outweigh any possible harms as task shifting allows for increased decentralization, access of specific diagnostics, and faster result delivery.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0216277（source: https://plos.figshare.com/articles/dataset/Performance_of_non-laboratory_staff_for_diagnostic_testing_and_specimen_collection_in_HIV_programs_A_systematic_review_and_meta-analysis/8071571）。