重症监护病房护士个体间导管相关无症状菌尿率的变异性:一项观察性横断面研究
基于美国ICU电子病历的护士-患者轮班数据,分析护士个体间导管相关无症状菌尿率的变异性。

基本信息
资源简介
重症监护病房护士个体间导管相关无症状菌尿率的变异性:一项观察性横断面研究
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 5 个文件、合计 221.22 KB,主题涵盖 shift-level nurse-patient data、nurse-level CAABU-free rates、ICU、CAABU-free rates、care units,可用于统计建模、特征工程与队列分析,CC BY 4.0 许可开放获取。
【数据集背景】
本数据集源站标题为《Variability in catheter-associated asymptomatic bacteriuria rates among individual nurses in intensive care units: An observational cross-sectional study》。配套论文《Variability in catheter-associated asymptomatic bacteriuria rates among individual nurses in intensive care units: An observational cross-sectional study》发表于 PLOS ONE(2019),DOI:10.1371/journal.pone.0218755。源站首次发布:2019-07-10。
【数据内容】
源站原始描述:Catheter-associated asymptomatic bacteriuria (CAABU) is frequent in intensive care units (ICUs) and contributes to the routine use of antibiotics and to antibiotic-resistant infections. While nurses are responsible for the implementation of CAABU-prevention guidelines, variability in how individual nurses contribute to CAABU-free rates in ICUs has not been previously explored. This study’s objective was to examine the variability in CAABU-free outcomes of individual ICU nurses. This observationa…
【数据结构与技术规格】
文件数 5 个,合计 221.22 KB。pone.0218755.s001.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,29.47 KB。pone.0218755.s002.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,21.96 KB。pone.0218755.s003.xlsx:application/vnd.openxmlformats-officedocument.spreadsheetml.sheet,21.22 KB。数据集 DOI:10.1371/journal.pone.0218755。
【主题与分类】
源站学科分类:Neuroscience、Environmental Sciences not elsewhere classified、Sociology、Biological Sciences not elsewhere classified。主题标签:shift-level nurse-patient data、nurse-level CAABU-free rates、ICU、CAABU-free rates、care units。
【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/Variability_in_catheter-associated_asymptomatic_bacteriuria_rates_among_individual_nurses_in_intensive_care_units_An_observational_cross-sectional_study/8853365
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Yakusheva, Olga; Costa, Deena K.; Bobay, Kathleen L.; Parada, Jorge P.; Weiss, Marianne E. (2019). Variability in catheter-associated asymptomatic bacteriuria rates among individual nurses in intensive care units: An observational cross-sectional study. 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。
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:Variability in catheter-associated asymptomatic bacteriuria rates among individual nurses in intensive care units: An observational cross-sectional study
- DOI:10.1371/journal.pone.0218755
- 发布日期:2019-07-10
- 文件数:5 个
- 文件总体积:221.22 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Variability_in_catheter-associated_asymptomatic_bacteriuria_rates_among_individual_nurses_in_intensive_care_units_An_observational_cross-sectional_study/8853365
命令行下载
curl -L -o "pone.0218755.s001.docx" "https://ndownloader.figshare.com/files/16220891"
curl -L -o "pone.0218755.s002.xlsx" "https://ndownloader.figshare.com/files/16220894"
curl -L -o "pone.0218755.s003.xlsx" "https://ndownloader.figshare.com/files/16220903"
curl -L -o "pone.0218755.s004.doc" "https://ndownloader.figshare.com/files/16220906"
curl -L -o "pone.0218755.s005.txt" "https://ndownloader.figshare.com/files/16220909"
文件清单
pone.0218755.s001.docx(29.47 KB)pone.0218755.s002.xlsx(21.96 KB)pone.0218755.s003.xlsx(21.22 KB)pone.0218755.s004.doc(135.68 KB)pone.0218755.s005.txt(12.88 KB)
文件总体积 221.22 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
Catheter-associated asymptomatic bacteriuria (CAABU) is frequent in intensive care units (ICUs) and contributes to the routine use of antibiotics and to antibiotic-resistant infections. While nurses are responsible for the implementation of CAABU-prevention guidelines, variability in how individual nurses contribute to CAABU-free rates in ICUs has not been previously explored. This study’s objective was to examine the variability in CAABU-free outcomes of individual ICU nurses. This observational cross-sectional study used shift-level nurse-patient data from the electronic health records from two ICUs in a tertiary medical center in the US between July 2015 and June 2016. We included all adult (18+) catheterized patients with no prior CAABU during the hospital encounter and nurses who provided their care. The CAABU-free outcome was defined as a 0/1 indicator identifying shifts where a previously CAABU-free patient remained CAABU-free (absence of a confirmed urine sample) 24–48 hours following end of shift. The analytical approach used Value-Added Modeling and a split-sample design to estimate and validate nurse-level CAABU-free rates while adjusting for patient characteristics, shift, and ICU type. The sample included 94 nurses, 2,150 patients with 256 confirmed CAABU cases, and 21,729 patient shifts. Patients were 55% male, average age was 60 years. CAABU-free rates of individual nurses varied between 94 and 100 per 100 shifts (Wald test: 227.88, P<0.001) and were robust in cross-validation analyses (correlation coefficient: 0.66, P<0.001). Learning and disseminating effective CAABU-avoidance strategies from top-performers throughout the nursing teams could improve quality of care in ICUs.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0218755(source: https://plos.figshare.com/articles/dataset/Variability_in_catheter-associated_asymptomatic_bacteriuria_rates_among_individual_nurses_in_intensive_care_units_An_observational_cross-sectional_study/8853365)。
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。
⚡️ 需要数据支持或标注服务?立即联系我们获取专业方案。




