数据表1_放射肿瘤学患者参与:调查响应动态的大型回顾性研究
放射肿瘤学患者满意度调查参与的大型回顾性研究补充数据表,涉及11,859例患者参与因素分析。

基本信息
资源简介
数据表1_放射肿瘤学患者参与:调查响应动态的大型回顾性研究
【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 894.03 KB,主题涵盖 patient engagement、satisfaction surveys、radiation oncology、socioeconomic status (SES)、Area Deprivation Index (ADI),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《Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx》。配套论文《Growing Importance of Patient Engagement in Healthcare》发表于 International Journal of Nursing and Health Science(2020),DOI:10.14445/24547484/IJNHS-V6I3P101。源站首次发布:2025-01-17。
【数据内容】
源站原始描述:PurposePatient satisfaction surveys are pivotal in evaluating healthcare quality and enhancing patient care. Understanding the factors influencing patient engagement with these surveys in radiation oncology can guide improvements in patient-centered care. MethodsThis retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. We assessed the influence of demographic, clinical, and socioeconomic factors on the l…
【数据结构与技术规格】
文件数 1 个,合计 894.03 KB。Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,894.03 KB。数据集 DOI:10.3389/fonc.2024.1434949.s001。
【主题与分类】
源站学科分类:Oncology and Carcinogenesis not elsewhere classified。主题标签:patient engagement、satisfaction surveys、radiation oncology、socioeconomic status (SES)、Area Deprivation Index (ADI)、telemedicine、mental health disorders (MHD)、patient-centered care。
【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://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Patient_engagement_in_radiation_oncology_a_large_retrospective_study_of_survey_response_dynamics_docx/28227026
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Loving, Bailey A.; Ye, Hong; Rutka, Elizabeth; Robertson, John M. (2025). Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx. Frontiers. 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:Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx
- DOI:10.3389/fonc.2024.1434949.s001
- 发布日期:2025-01-17
- 文件数:1 个
- 文件总体积:894.03 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Patient_engagement_in_radiation_oncology_a_large_retrospective_study_of_survey_response_dynamics_docx/28227026
命令行下载
curl -L -o "Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx" "https://ndownloader.figshare.com/files/51731030"
文件清单
Data Sheet 1_Patient engagement in radiation oncology: a large retrospective study of survey response dynamics.docx(894.03 KB)
文件总体积 894.03 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
PurposePatient satisfaction surveys are pivotal in evaluating healthcare quality and enhancing patient care. Understanding the factors influencing patient engagement with these surveys in radiation oncology can guide improvements in patient-centered care.
MethodsThis retrospective study analyzed data from radiation oncology patients at a large multi-site single-institution center from May 2021 to January 2024. We assessed the influence of demographic, clinical, and socioeconomic factors on the likelihood of survey participation using univariate (UVA) and multivariable (MVA) logistic regression analyses. Factors included age, gender, race, socioeconomic status (SES) via Area Deprivation Index (ADI), language, marital status, smoking, employment, insurance type, mental health disorders (MHD), comorbidity index (CCI), and cancer type.
ResultsIn a comprehensive analysis of 11,859 patients, most were female (57.2%), over 65 years old (60.7%), and primarily insured by Medicare (45.9%). MVA showed that higher socioeconomic disadvantage significantly decreased survey participation (ADI third tertile vs. first tertile OR=0.708, pMultiple factors including age, race, SES, insurance type, cancer type, health conditions, and modality of healthcare delivery influence patient engagement with satisfaction surveys in radiation oncology. Strategies to enhance patient engagement must consider these diverse influences to ensure comprehensive and inclusive feedback mechanisms in healthcare settings. Tailored interventions to mitigate barriers specific to underrepresented groups are crucial for capturing a broad spectrum of patient experiences and improving the overall quality of patient care.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fonc.2024.1434949.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Patient_engagement_in_radiation_oncology_a_large_retrospective_study_of_survey_response_dynamics_docx/28227026)。
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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