卫生保健工作者数据
包含结核病患者和卫生保健工作者关于数字依从性技术反馈的调查数据,用于评估其在结核病治疗监督中的可行性。

基本信息
资源简介
卫生保健工作者数据
【数据集背景】
本数据集源站标题为《Health care worker data.》。源站首次发布:2023-08-15。
【数据内容】
源站原始描述:Digital adherence technologies (DATs) have emerged as an alternative to directly observed therapy (DOT) for supervisions of tuberculosis (TB) treatment. We conducted a meta-analysis of implementation feedback obtained from people with TB and health care workers (HCWs) involved in TB REACH Wave 6-funded DAT evaluation projects. Projects administered standardized post-implementation surveys based on the Capability, Opportunity, Motivation, Behavior (COM-B) model to people with TB and their health…
【数据结构与技术规格】
文件数 1 个,合计 30.13 KB。pdig.0000322.s018.xlsx:undefined,30.13 KB。数据集 DOI:10.1371/journal.pdig.0000322.s018。
【主题与分类】
源站学科分类:Medicine、Biotechnology、Biological Sciences not elsewhere classified、Cancer、Science Policy、Infectious Diseases。主题标签:surveys included questions、likert scale questions、increase social support、health care workers、directly observed therapy、digital adherence technologies、4 &# 183、implementation surveys based、overall positive impression、minimizing additional cost。
【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/Health_care_worker_data_/23959482
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Guzman, Kevin; Crowder, Rebecca; Leddy, Anna; Maraba, Noriah; Jennings, Lauren; Ahmed, Shahriar; et al. (2023). Health care worker data.. PLOS Digital 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:Health care worker data.
- DOI:10.1371/journal.pdig.0000322.s018
- 发布日期:2023-08-15
- 文件数:1 个
- 文件总体积:30.13 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Health_care_worker_data_/23959482
命令行下载
curl -L -o "pdig.0000322.s018.xlsx" "https://ndownloader.figshare.com/files/42011403"
文件清单
pdig.0000322.s018.xlsx(30.13 KB)
文件总体积 30.13 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 adherence technologies (DATs) have emerged as an alternative to directly observed therapy (DOT) for supervisions of tuberculosis (TB) treatment. We conducted a meta-analysis of implementation feedback obtained from people with TB and health care workers (HCWs) involved in TB REACH Wave 6-funded DAT evaluation projects. Projects administered standardized post-implementation surveys based on the Capability, Opportunity, Motivation, Behavior (COM-B) model to people with TB and their health care workers. The surveys included questions on demographics and technology use, Likert scale questions to assess capability, opportunity, and motivation to use DAT and open-ended feedback. We summarized demographic and technology use data descriptively, generated pooled estimates of responses to Likert scale questions within each COM-B category for people with TB and health care workers using random effects models, and performed qualitative analysis of open-ended feedback using a modified framework analysis approach. The analysis included surveys administered to 1290 people with TB and 90 HCWs across 6 TB REACH-funded projects. People with TB and HCWs had an overall positive impression of DATs with pooled estimates between 4·0 to 4·8 out of 5 across COM-B categories. However, 44% of people with TB reported taking TB medications without reporting dosing via DATs and 23% reported missing a dose of medication. Common reasons included problems with electricity, network coverage, and technical issues with the DAT platform. DATs were overall perceived to reduce visits to clinics, decrease cost, increase social support, and decrease workload of HCWs. DATs were acceptable in a wide variety of settings. However, there were challenges related to the feasibility of using current DAT platforms. Implementation efforts should concentrate on ensuring access, anticipating, and addressing technical challenges, and minimizing additional cost to people with TB.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pdig.0000322.s018(source: https://plos.figshare.com/articles/dataset/Health_care_worker_data_/23959482)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




