欧洲十国医疗专业人员诊断手术部位感染病例小插曲的一致性研究

欧洲十国医疗专业人员对手术部位感染病例小插曲诊断一致性的研究数据,包括评分和诊断深度。

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2016-01-18 更新
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表格Diagnostic medicinepathologyanatomical pathologySurgical pathologyInfectious diseasesBacterial diseasesInfectious disease controlNon-clinical medicineHealth care policyHealth risk analysisHealth statisticsHealth systems strengthening
Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections

基本信息

模态
表格
大小
0.000246784 GB
许可
CC BY 4.0
创建/更新时间
2016-01-18
版本
v1

资源简介

欧洲十国医疗专业人员诊断手术部位感染病例小插曲的一致性研究

【数据集背景】

本数据集源站标题为《Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections》。配套论文《Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections》发表于 PLoS ONE(2013),DOI:10.1371/journal.pone.0068618。源站首次发布:2013-07-09。

【数据内容】

源站原始描述:Objective Although surgical-site infection (SSI) rates are advocated as a major evaluation criterion, the reproducibility of SSI diagnosis is unknown. We assessed agreement in diagnosing SSI among specialists involved in SSI surveillance in Europe. Methods Twelve case-vignettes based on suspected SSI were submitted to 100 infection-control physicians (ICPs) and 86 surgeons in 10 European countries. Each participant scored eight randomly-assigned case-vignettes on a secure online relational datab…

【数据结构与技术规格】

文件数 3 个,合计 246.78 KB。Figure_S1.doc:application/msword,130.05 KB。Table_S1.doc:application/msword,53.25 KB。Table_S2.doc:application/msword,63.49 KB。数据集 DOI:10.1371/journal.pone.0068618。

【主题与分类】

源站学科分类:Medicine。主题标签:Diagnostic medicine、pathology、anatomical pathology、Surgical pathology、Infectious diseases、Bacterial diseases、Infectious disease control、Non-clinical medicine、Health care policy、Health risk analysis。

【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/_Agreement_among_Healthcare_Professionals_in_Ten_European_Countries_in_Diagnosing_Case_Vignettes_of_Surgical_Site_Infections_/742060

使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。

规范引用:Birgand, Gabriel; Lepelletier, Didier; Baron, Gabriel; Barrett, Steve; Breier, Ann-Christin; Buke, Cagri; et al. (2016). Agreement among Healthcare Professionals in Ten European Countries in Diagnosing Case-Vignettes of Surgical-Site Infections. PLOS ONE. Dataset

【使用注意】

· 源站最后修改于 2023-06-01,引用时请注意版本时效。

官方服务

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从合规授权、采集治理、专业标注到数据集交付,我们提供全链路闭环服务,让高质量临床数据即拿即用。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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)

命令行下载

curl -L -o "Figure_S1.doc" "https://ndownloader.figshare.com/files/1114513"
curl -L -o "Table_S1.doc" "https://ndownloader.figshare.com/files/1114514"
curl -L -o "Table_S2.doc" "https://ndownloader.figshare.com/files/1114515"

文件清单

  • Figure_S1.doc(130.05 KB)
  • Table_S1.doc(53.25 KB)
  • Table_S2.doc(63.49 KB)

文件总体积 246.78 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

Objective
Although surgical-site infection (SSI) rates are advocated as a major evaluation criterion, the reproducibility of SSI diagnosis is unknown. We assessed agreement in diagnosing SSI among specialists involved in SSI surveillance in Europe.
Methods
Twelve case-vignettes based on suspected SSI were submitted to 100 infection-control physicians (ICPs) and 86 surgeons in 10 European countries. Each participant scored eight randomly-assigned case-vignettes on a secure online relational database. The intra-class correlation coefficient (ICC) was used to assess agreement for SSI diagnosis on a 7-point Likert scale and the kappa coefficient to assess agreement for SSI depth on a three-point scale.
Results
Intra-specialty agreement for SSI diagnosis ranged across countries and specialties from 0.00 (95%CI, 0.00–0.35) to 0.65 (0.45–0.82). Inter-specialty agreement varied from 0.04 (0.00–0.62) in to 0.55 (0.37–0.74) in Germany. For all countries pooled, intra-specialty agreement was poor for surgeons (0.24, 0.14–0.42) and good for ICPs (0.41, 0.28–0.61). Reading SSI definitions improved agreement among ICPs (0.57) but not surgeons (0.09). Intra-specialty agreement for SSI depth ranged across countries and specialties from 0.05 (0.00–0.10) to 0.50 (0.45–0.55) and was not improved by reading SSI definition.
Conclusion
Among ICPs and surgeons evaluating case-vignettes of suspected SSI, considerable disagreement occurred regarding the diagnosis, with variations across specialties and countries.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0068618(source: https://plos.figshare.com/articles/dataset/_Agreement_among_Healthcare_Professionals_in_Ten_European_Countries_in_Diagnosing_Case_Vignettes_of_Surgical_Site_Infections_/742060)。

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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。

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