参与者特征(患者和医护人员)
越南VSMART试验中耐多药结核病患者和医护人员的定性访谈文本数据,分析智能手机App使用体验与参与度。

基本信息
资源简介
参与者特征(患者和医护人员)
【一句话概览】
本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 5.63 KB,主题涵盖 vsmart trial ).、socially mediated effects、projects could struggle、improve early detection、explain reported reduction,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Participant characteristics (patients and HCWs).》。源站首次发布:2025-04-16。
【数据内容】
源站原始描述:Digital health technologies, especially mobile application (mHealth), offer great potential for enhancing person-centred care and managing MDR-TB. The rapid expansion of digital infrastructure in Vietnam presents a valuable opportunity for such interventions. This qualitative study examines user experiences to explain reported reduction in engagement with (i.e. use of) a smartphone app which is being trialed to improve early detection and management of adverse events (AEs) among MDR-TB patients…
【数据结构与技术规格】
文件数 1 个,合计 5.63 KB。Table 1.xls:application/vnd.ms-excel,5.63 KB。数据集 DOI:10.1371/journal.pgph.0004454.t001。
【主题与分类】
源站学科分类:Biological Sciences not elsewhere classified、Cancer、Science Policy。主题标签:vsmart trial ).、socially mediated effects、projects could struggle、improve early detection、explain reported reduction、existing communication channels、stakeholders &# 8217、acceptable &# 8217、technologies within pilot、especially mobile application。
【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/Participant_characteristics_patients_and_HCWs_/28807995
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Drabarek, Dorothy; Trinh-Hoang, Duy; Yapa, Manisha; Dang, Tho T.H.; Vu, Hai Dang; Nguyen, Thu Anh; et al. (2025). Participant characteristics (patients and HCWs).. PLOS Global Public Health. 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:Participant characteristics (patients and HCWs).
- DOI:10.1371/journal.pgph.0004454.t001
- 发布日期:2025-04-16
- 文件数:1 个
- 文件总体积:5.63 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Participant_characteristics_patients_and_HCWs_/28807995
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/53708628"
文件清单
Table 1.xls(5.63 KB)
文件总体积 5.63 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
Digital health technologies, especially mobile application (mHealth), offer great potential for enhancing person-centred care and managing MDR-TB. The rapid expansion of digital infrastructure in Vietnam presents a valuable opportunity for such interventions. This qualitative study examines user experiences to explain reported reduction in engagement with (i.e. use of) a smartphone app which is being trialed to improve early detection and management of adverse events (AEs) among MDR-TB patients in Vietnam (VSMART trial). We conducted 37 in-depth interviews with patients and healthcare workers (HCWs) and thematically analyzed the data. Initially, patients were motivated to use the app seeing it as a promise of the provision of ‘good care’ from trusted healthcare workers, and over-estimated its functional capacity. However, as patients realized its functional limitations for AE reporting and management they reverted to communicating with HCWs through existing communication channels. While the app empowered patients to communicate with HCWs for AE reporting, it inadvertently increased HCWs’ workloads which became difficult to manage. This resulted in a paradox where the app was used because of its social value, in spite of its limited functional value. This study reveals how relational and socially mediated effects of technology may complicate mHealth design and implementation, illuminating why ‘acceptable’ technologies within pilot/projects could struggle to sustain engagement a scale. To support attention to this process, we propose an explanatory framework that captures the social-functional dynamics of mHealth interventions which can guide much needed qualitative evaluation to support the design of mHealth technologies to align with stakeholders’ needs and suited for integration into local healthcare systems.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pgph.0004454.t001(source: https://plos.figshare.com/articles/dataset/Participant_characteristics_patients_and_HCWs_/28807995)。
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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