参与者人口统计数据（n=21）
21份针对多米尼加共和国HIV合并慢性病患者深度访谈的文本数据，研究共病管理障碍。
基本信息
资源简介
参与者人口统计数据（n=21）
【数据集背景】
本数据集源站标题为《Participant demographics (n = 21).》。源站首次发布：2023-07-13。
【数据内容】
源站原始描述：People living with HIV and a non-communicable disease (NCD) experience multi-level barriers when co-managing multiple conditions. We explored the factors affecting living with multiple chronic conditions in the Dominican Republic. We conducted 21 in-depth interviews from October 2019-February 2020 with Dominican adults who participated in a food security intervention and managed HIV and at least one chronic NCD. Using thematic analysis, we explored participant lived experiences co-managing multi…
【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.pone.0288583.t001。
【主题与分类】
源站学科分类：Medicine、Biotechnology、Environmental Sciences not elsewhere classified、Biological Sciences not elsewhere classified、Science Policy、Infectious Diseases。主题标签：using thematic analysis、poor referral systems、improved referral systems、food security intervention、address include patient、multiple chronic conditions、managing multiple conditions、limited financial assistance、factors affecting living、managing ncds。
【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_demographics_n_21_/23679280
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Wallace, Deshira D.; Then-Paulino, Amarilis; Paulino, Gipsy Jiménez; Castro, Flabia Tejada; Castro, Stephanie Daniela; Palar, Kartika; et al. (2023). Participant demographics (n = 21).. PLOS ONE. 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 demographics (n = 21).
- DOI：10.1371/journal.pone.0288583.t001
- 发布日期：2023-07-13
- 文件数：1 个
- 文件总体积：5.63 KB
- 源站页面：https://plos.figshare.com/articles/dataset/Participant_demographics_n_21_/23679280
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/41554945"
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
People living with HIV and a non-communicable disease (NCD) experience multi-level barriers when co-managing multiple conditions. We explored the factors affecting living with multiple chronic conditions in the Dominican Republic. We conducted 21 in-depth interviews from October 2019-February 2020 with Dominican adults who participated in a food security intervention and managed HIV and at least one chronic NCD. Using thematic analysis, we explored participant lived experiences co-managing multiple chronic conditions. All participants (mean age = 45.5 years) were linked to HIV care, but only three were linked to NCD-specific care. Individual-level barriers to managing NCDs included limited education and limited self-efficacy for self-management. Interpersonally, barriers included limited rapport building with an NCD-specific specialist. Structural barriers to managing NCDs were no health insurance, poor referral systems, and limited financial assistance. Health system adaptation requires equitably considering the needs of individuals managing multiple chronic conditions. Key factors to address include patient-provider relationships, improved referral systems, accessibility and availability of specialists, and financial assistance.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0288583.t001（source: https://plos.figshare.com/articles/dataset/Participant_demographics_n_21_/23679280）。
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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