Definitions
包含15名医疗工作者对CARES移动应用（用于HIV社区ART管理）的可行性及接受度的定性访谈数据集。
基本信息
资源简介
Definitions
【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 9.73 KB，主题涵盖 reshaping healthcare delivery、reporting qualitative research、provide healthcare workers、program faces hurdles、improve healthcare delivery，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《Definitions.》。源站首次发布：2025-05-23。
【数据内容】
源站原始描述：Background Mobile health (mHealth) is reshaping healthcare delivery, especially in HIV management. The World Health Organization advocates for mHealth to provide healthcare workers (HCWs) with real-time data, enhancing client care. However, in Malawi’s Lighthouse Trust antiretroviral therapy (ART) clinic, the nurse-led community-based ART (NCAP) program faces hurdles with data management due to lack of access to electronic medical records systems (EMRS) in the community setting. EMRS are not typ…
【数据结构与技术规格】
文件数 1 个，合计 9.73 KB。Table 1.xls：application/vnd.ms-excel，9.73 KB。数据集 DOI：10.1371/journal.pone.0303416.t001。
【主题与分类】
源站学科分类：Medicine、Cell Biology、Biotechnology、Cancer。主题标签：reshaping healthcare delivery、reporting qualitative research、provide healthcare workers、program faces hurdles、improve healthcare delivery、improve client care、enhancing client care、could facilitate continued、based antiretroviral therapy、technology acceptance models。
【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/Definitions_/29139344
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Kiruthu-Kamamia, Christine; Berner-Rodoreda, Astrid; O’Bryan, Gillian; Sande, Odala; Huwa, Jacqueline; Thawani, Agnes; et al. (2025). Definitions.. PLOS ONE. Dataset
下载信息
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使用方式
数据集获取（Figshare）
- 源站标题：Definitions.
- DOI：10.1371/journal.pone.0303416.t001
- 发布日期：2025-05-23
- 文件数：1 个
- 文件总体积：9.73 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Definitions_/29139344
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/54785096"
文件清单
Table 1.xls（9.73 KB）
文件总体积 9.73 KB（源站 API 实测）。
数据说明
Background
Mobile health (mHealth) is reshaping healthcare delivery, especially in HIV management. The World Health Organization advocates for mHealth to provide healthcare workers (HCWs) with real-time data, enhancing client care. However, in Malawi’s Lighthouse Trust antiretroviral therapy (ART) clinic, the nurse-led community-based ART (NCAP) program faces hurdles with data management due to lack of access to electronic medical records systems (EMRS) in the community setting. EMRS are not typically available in differentiated service delivery settings where reliable power and internet are often unavailable. We used human-centered design (HCD) processes to create a mobile EMRS prototype, the Community-based ART Retention and Suppression (CARES) app. CARES aims to simplify workflow for HCWs and improve client care. As part of prototype testing, we explore CARES’ feasibility and acceptability from the perspective of NCAP HCWs.
Methods
We conducted in-depth interviews among 15 NCAP HCWs. We used a rapid qualitative analysis approach guided by the Technology Acceptance Models (TAM1 and TAM2). The study complied with the Consolidated Criteria for Reporting Qualitative Research (COREQ).
Results
HCWs demonstrated high perceived usefulness for the CARES app to improve healthcare delivery and data management, both of which could facilitate continued and effective use. However, challenges such as app performance, data integration, and system navigation were significant barriers to ease of use, reducing acceptance and current feasibility of scale-up. Despite challenges, HCWs remained optimistic about CARES’ potential to enhance NCAP clinical decision-making and data flow in future, likely reflecting organizational expectations for CARES optimization. Beyond the TAM framework, additional themes of consistent staff engagement and considerations for sustainability were identified as critical factors for long-term success. HCWs emphasized the need for continuous training and stakeholder engagement, improved infrastructure, data security protections, and establishing the CARES app and EMRS integration to facilitate CARES’ sustained expansion.
Conclusion
The study findings und
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0303416.t001（source: https://plos.figshare.com/articles/dataset/Definitions_/29139344）。
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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