儿科肿瘤护理中的语言障碍与专业口译员使用：一项全国多中心横断面调查
一项关于儿科肿瘤护理中语言障碍与专业口译员使用的全国多中心横断面调查数据集。
基本信息
资源简介
儿科肿瘤护理中的语言障碍与专业口译员使用：一项全国多中心横断面调查
【一句话概览】
本数据集是 figshare 公开的文本数据集，收录 2 个文件、合计 2.12 MB，主题涵盖 language barriers、Language Barriers questionnaire、interpreter、oncology care Background、survey，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《Language barriers and the use of professional interpreters: a national multisite cross-sectional survey in pediatric oncology care》。配套论文《Language barriers and the use of professional interpreters: a national multisite cross-sectional survey in pediatric oncology care》发表于 Acta Oncologica（2019），DOI：10.1080/0284186X.2019.1594362。项目资助方：This work was supported by Swedish Society for Childcare, Astrid Lindgren Children’s Hospital, the Foundation of Freemasonry Children’s House and Karolinska Institutet. The last author was supported by the Swedish Childhood Cancer Foundation [TJ2013-0050], including this research.。源站首次发布：2019-04-08。
【数据内容】
源站原始描述：Background: Healthcare personnel are responsible for providing patient-centered care regardless of their patients’ language skills, but language barriers is identified as the main hindrances providing effective, equitable and safe care to patients with limited proficiency in a country’s majority language. This study is a national multisite cross-sectional survey aiming to investigate communication over language barriers in pediatric oncology care. Material and Methods: A survey using the Communi…
中文译文（机器翻译，仅供快速理解，请以原文为准）：背景：医护人员有责任提供以患者为中心的照护，无论患者的语言能力如何，但语言障碍被认为是为该国主流语言能力有限的患者提供有效、公平和安全照护的主要阻碍。本研究是一项全国性多中心横断面调查，旨在探讨儿科肿瘤照护中跨越语言障碍的沟通情况。 材料与方法：采用语言障碍沟通问卷（Communication over Language Barriers questionnaire，CoLB-q）开展调查，问卷发放给瑞典六家儿科肿瘤中心的医生、注册护士和护理助理（应答率90%），并使用描述性统计分析。 结果：在使用口译员时，现场专业口译员是最常见的解决方案，但也会使用亲属甚至儿童。现场专业口译员的使用在不同职业以及不同临床情境中存在差异，例如医疗就诊、宣教或操作准备。所有职业均报告称，使用专业口译员极大增进了照护关系、患者安全和患者参与照护。 结论：医护人员似乎认为，在照护不会说该国主流语言的患者及其家庭成员时，专业口译员至关重要，但这种看法与他们实际使用专业口译员的情况之间存在明显差距。
【数据结构与技术规格】
文件数 2 个，合计 2.12 MB。Supplementary Figure 1_CoLB-q_20190305.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，2.09 MB。Supplementary_Table_1-4_20190305.docx：application/vnd.openxmlformats-officedocument.wordprocessingml.document，30.70 KB。数据集 DOI：10.6084/m9.figshare.7964978.v1。
【主题与分类】
源站学科分类：Medicine、Ecology、Sociology、Mathematical Sciences not elsewhere classified、Science Policy。主题标签：language barriers、Language Barriers questionnaire、interpreter、oncology care Background、survey、Healthcare personnel。
【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://tandf.figshare.com/articles/dataset/Language_barriers_and_the_use_of_professional_interpreters_a_national_multisite_cross-sectional_survey_in_pediatric_oncology_care/7964978
使用许可：CC BY 4.0（https://creativecommons.org/licenses/by/4.0/）。
规范引用：Language barriers and the use of professional interpreters: a national multisite cross-sectional survey in pediatric oncology care. Taylor & Francis. Jungner, Johanna Granhagen; Tiselius, Elisabet; Blomgren, Klas; Lützén, Kim; Pergert, Pernilla
【使用注意】
· 源站最后修改于 2023-05-31，引用时请注意版本时效。
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：Language barriers and the use of professional interpreters: a national multisite cross-sectional survey in pediatric oncology care
- DOI：10.6084/m9.figshare.7964978.v1
- 发布日期：2019-04-08
- 文件数：2 个
- 文件总体积：2.12 MB
- 源站页面：https://tandf.figshare.com/articles/dataset/Language_barriers_and_the_use_of_professional_interpreters_a_national_multisite_cross-sectional_survey_in_pediatric_oncology_care/7964978
命令行下载
curl -L -o "Supplementary Figure 1_CoLB-q_20190305.docx" "https://ndownloader.figshare.com/files/14831564"
curl -L -o "Supplementary_Table_1-4_20190305.docx" "https://ndownloader.figshare.com/files/14831567"
文件清单
Supplementary Figure 1_CoLB-q_20190305.docx（2.09 MB）Supplementary_Table_1-4_20190305.docx（30.70 KB）
文件总体积 2.12 MB（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
Background: Healthcare personnel are responsible for providing patient-centered care regardless of their patients’ language skills, but language barriers is identified as the main hindrances providing effective, equitable and safe care to patients with limited proficiency in a country’s majority language. This study is a national multisite cross-sectional survey aiming to investigate communication over language barriers in pediatric oncology care.
Material and Methods: A survey using the Communication over Language Barriers questionnaire (CoLB-q) distributed to medical doctors, registered nurses and nursing assistants at six pediatric oncology centers in Sweden (response rate 90%) using descriptive statistical analyses.
Results: Professional interpreters on site were the most common solution when using an interpreter, although relatives or even children were used. The use of professional interpreters on site differed among the professions and in different clinical situations, such as medical encounter, education or procedure preparation. All professions reported that the use of professional interpreters greatly increased care relationships, patient safety and patient involvement in care.
Conclusions: Healthcare personnel seem to believe that professional interpreters are crucial when caring for patients and family members who do not speak the majority language, but there is an obvious discrepancy between this belief and their use of professional interpreters.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.6084/m9.figshare.7964978.v1（source: https://tandf.figshare.com/articles/dataset/Language_barriers_and_the_use_of_professional_interpreters_a_national_multisite_cross-sectional_survey_in_pediatric_oncology_care/7964978）。
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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