糖尿病护理质量扩展数据 - QECH
包含糖尿病护理相关访谈转录的文本数据集，涉及患者、家属和医护人员对护理质量的看法。
基本信息
资源简介
糖尿病护理质量扩展数据 - QECH
【数据集背景】
本数据集源站标题为《Extended data - quality of diabetes care at QECH》。项目资助方：This research was supported by the Consortium for Advanced Research Training in Africa (CARTA). CARTA is jointly led by the African Population and Health Research Center and the University of the Witwatersrand and funded by the Carnegie Corporation of New York (Grant No. G-19-57145), Sida (Grant No:54100113), Uppsala Monitoring Center, Norwegian Agency for Development Cooperation (Norad), and by the Wellcome Trust [reference no. 107768/Z/15/Z] and the UK Foreign, Commonwealth & Development Office, with support from the Developing Excellence in Leadership, Training and Science in Africa (DELTAS Africa) programme.。源站首次发布：2025-04-23。
【数据内容】
源站原始描述：This data set contains anonymized transcripts from interviews with people living with diabetes, their family members and healthcare workers from a diabetes clinic at public referral hospital in Blantyre Malawi
【数据结构与技术规格】
文件数 9 个，合计 3.78 MB。Banda et al COREQ_checklist.pdf：application/pdf，428.09 KB。Focus Group Discussion Guide for people with diabetes.pdf：application/pdf，302.28 KB。Individual In-depth interview guide for family members.pdf：application/pdf，313.19 KB。数据集 DOI：10.6084/m9.figshare.28845914.v1。
【主题与分类】
源站学科分类：Health systems、Health services and systems not elsewhere classified。主题标签：Diabetes Melitus、Quality of care、Self-management support、Self-management、Social support。
【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://figshare.com/articles/dataset/Extended_data_-_quality_of_diabetes_care_at_QECH/28845914
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Kwanjo Banda, Chimwemwe (2025). Extended data - quality of diabetes care at QECH. figshare. 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。
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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：Extended data - quality of diabetes care at QECH
- DOI：10.6084/m9.figshare.28845914.v1
- 发布日期：2025-04-23
- 文件数：9 个
- 文件总体积：3.78 MB
- 源站页面：https://figshare.com/articles/dataset/Extended_data_-_quality_of_diabetes_care_at_QECH/28845914
命令行下载
curl -L -o "Banda et al COREQ_checklist.pdf" "https://ndownloader.figshare.com/files/53914730"
curl -L -o "Focus Group Discussion Guide for people with diabetes.pdf" "https://ndownloader.figshare.com/files/53914907"
curl -L -o "Individual In-depth interview guide for family members.pdf" "https://ndownloader.figshare.com/files/53914910"
curl -L -o "Individual in-depth interview guide for people with diabetes.pdf" "https://ndownloader.figshare.com/files/53914901"
curl -L -o "Key informant interviews guide for HCW.pdf" "https://ndownloader.figshare.com/files/53914904"
curl -L -o "HCW KIIs.rar" "https://ndownloader.figshare.com/files/53914931"
curl -L -o "FGDs with People with diabetes.rar" "https://ndownloader.figshare.com/files/53914940"
curl -L -o "IDIs with people living with diabetes.rar" "https://ndownloader.figshare.com/files/53914949"
文件清单
Banda et al COREQ_checklist.pdf（428.09 KB）Focus Group Discussion Guide for people with diabetes.pdf（302.28 KB）Individual In-depth interview guide for family members.pdf（313.19 KB）Individual in-depth interview guide for people with diabetes.pdf（313.54 KB）Key informant interviews guide for HCW.pdf（299.91 KB）HCW KIIs.rar（297.54 KB）FGDs with People with diabetes.rar（314.90 KB）IDIs with people living with diabetes.rar（1.03 MB）Family members IDIs.rar（489.11 KB）
文件总体积 3.78 MB（源站 API 实测）。
数据说明
This data set contains anonymized transcripts from interviews with people living with diabetes, their family members and healthcare workers from a diabetes clinic at public referral hospital in Blantyre Malawi.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.28845914.v1（source: https://figshare.com/articles/dataset/Extended_data_-_quality_of_diabetes_care_at_QECH/28845914）。
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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