巴西东北部重症监护室降低医疗相关感染合作项目的成功因素

描述巴西东北部ICU合作项目减少医疗相关感染(呼吸机相关肺炎等)的实施与结果,基于前瞻性观察研究。

NIAID Data Ecosystem
浏览 24
文本Outcome assessmenthealth careHealth evaluationQuality improvementProgram developmentImplementation sciencePatient safetyInfectionsHealthcare-associated pneumoniaRespirationartificialIntensive care units
Success factors of a collaborative project to reduce healthcare-associated infections in intensive care units in Northeastern Brazil

基本信息

模态
文本
大小
0.012208276 GB
许可
CC BY 4.0
创建/更新时间
2026-10-09
版本
v1

资源简介

巴西东北部重症监护室降低医疗相关感染合作项目的成功因素

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 18 个文件、合计 12.21 MB,主题涵盖 Outcome assessment, health care、Health evaluation、Quality improvement、Program development、Implementation science,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《Success factors of a collaborative project to reduce healthcare-associated infections in intensive care units in Northeastern Brazil》。源站首次发布:2022-11-05。

【数据内容】

源站原始描述:ABSTRACT Objective: To describe the implementation and results of the collaborative PROADI-SUS project by the Brazilian Ministry of Health to reduce healthcare-associated infections: ventilator-associated pneumonia, primary central line-associated bloodstream infection and catheter-associated urinary tract infections. Methods: This was a prospective observational study that investigated the implementation stages and outcomes during 18 months in five intensive care units in the city of Recife. Re…

【数据结构与技术规格】

文件数 18 个,合计 12.21 MB。数据集 DOI:10.6084/m9.figshare.21505861.v1。

【主题与分类】

源站学科分类:Intensive Care。主题标签:Outcome assessment, health care、Health evaluation、Quality improvement、Program development、Implementation science、Patient safety、Infections、Healthcare-associated pneumonia、Respiration, artificial、Intensive care units。

【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://scielo.figshare.com/articles/dataset/Success_factors_of_a_collaborative_project_to_reduce_healthcare-associated_infections_in_intensive_care_units_in_Northeastern_Brazil/21505861

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

规范引用:Melo, Ladjane Santos Wolmer de; Estevão, Thaís Moreira; Chaves, Juliana Sousa de Castro; Vieira, Janaina Maria Silva; Siqueira, Marialba de Morais; Alcoforado, Iêda Ludmer Guedes; et al. (2022). Success factors of a collaborative project to reduce healthcare-associated infections in intensive care u…

【使用注意】

· 源站最后修改于 2023-06-04,引用时请注意版本时效。

官方服务

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⚡️ 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 "67b875c8cc774764130221664629033f472bc22c.tif" "https://ndownloader.figshare.com/files/38108086"
curl -L -o "63635d8ef37c69ad61a57b94c2795b6dcd77c5a6.png" "https://ndownloader.figshare.com/files/38108089"
curl -L -o "1eb47e92dbd93b69c650f8e33ac4338d93f9aa49.jpg" "https://ndownloader.figshare.com/files/38108092"
curl -L -o "631de181f4311f7881a26d47b7746a3b53b45151.tif" "https://ndownloader.figshare.com/files/38108095"
curl -L -o "8a324ce2947a116abfa947454b1d46fd17da19d4.png" "https://ndownloader.figshare.com/files/38108098"
curl -L -o "5e7078faf0e9f369bb6a6e4747c462d8935c9c25.jpg" "https://ndownloader.figshare.com/files/38108101"
curl -L -o "484e7f213d19b1e4128897e674b736aea0974fc4.tif" "https://ndownloader.figshare.com/files/38108104"
curl -L -o "57b2c3489f9d69f079b069f46ae44ab4f2f4ec90.png" "https://ndownloader.figshare.com/files/38108107"

文件清单

  • 67b875c8cc774764130221664629033f472bc22c.tif(1.50 MB)
  • 63635d8ef37c69ad61a57b94c2795b6dcd77c5a6.png(808.19 KB)
  • 1eb47e92dbd93b69c650f8e33ac4338d93f9aa49.jpg(6.80 KB)
  • 631de181f4311f7881a26d47b7746a3b53b45151.tif(1.17 MB)
  • 8a324ce2947a116abfa947454b1d46fd17da19d4.png(722.21 KB)
  • 5e7078faf0e9f369bb6a6e4747c462d8935c9c25.jpg(6.99 KB)
  • 484e7f213d19b1e4128897e674b736aea0974fc4.tif(1.20 MB)
  • 57b2c3489f9d69f079b069f46ae44ab4f2f4ec90.png(721.96 KB)
  • f4e25e7e48fedeaaafb9786d93c4ee3eb30ce2f3.jpg(6.86 KB)
  • ea0cf6bf78d9cba4cc9b4621429500cb87517d14.tif(1.47 MB)
  • 848c781a1f3adf255fb2ee16e70d1b450f6fed6d.png(790.76 KB)
  • f6f07e9918cf47ca33395fd4c2981082c51a1711.jpg(6.72 KB)
  • 9ffdb7e4e21c229283ba815e3264908b23213825.tif(1.15 MB)
  • 0b9fbbab76eed3bdb9a765053fdcd4cae86ef68b.png(704.82 KB)
  • 7048cfab14783c2163537d14c34fe6e6dcb6873e.jpg(6.93 KB)
  • 017e06f74b416324767e800849fb24bcbc1a23bc.tif(1.21 MB)
  • de807e2c47dba950371f8fffb9d5bf423de89e99.png(726.14 KB)
  • 01e7179cd804cb1e9951bbfd3e530d6410385a74.jpg(7.06 KB)

文件总体积 12.21 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

ABSTRACT Objective: To describe the implementation and results of the collaborative PROADI-SUS project by the Brazilian Ministry of Health to reduce healthcare-associated infections: ventilator-associated pneumonia, primary central line-associated bloodstream infection and catheter-associated urinary tract infections. Methods: This was a prospective observational study that investigated the implementation stages and outcomes during 18 months in five intensive care units in the city of Recife. Reductions in healthcare-associated infections in each unit were calculated using previous medians compared to those of the study period. Results: The goal of reducing the three healthcare-associated infections, i.e., 30% in 18 months, was achieved in at least one of the healthcare-associated infections and was also achieved for two healthcare-associated infections in two hospitals and three healthcare-associated infections in just one hospital; the latter reached the target of 36 months. Implementing the bundles and monitoring the results by the professionals were considered essential actions by the local management teams. In addition, the acquisition of supplies and their availability alongside the beds, signage, checklists, staff awareness, adaptation, team building, training and celebration of achievements were assessed as being relevant for reducing healthcare-associated infections. Conclusion: The collaborative approach reduced healthcare-associated infections, despite partial adherence to the bundles. The hypothesis is that success is related to the project methodology and motivated multidisciplinary teams, especially nursing teams.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.21505861.v1(source: https://scielo.figshare.com/articles/dataset/Success_factors_of_a_collaborative_project_to_reduce_healthcare-associated_infections_in_intensive_care_units_in_Northeastern_Brazil/21505861)。

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