重症监护室医疗相关感染的成本

ICU医疗相关感染患者与非感染患者的住院成本及临床数据,用于成本对比分析。

Figshare
2021-05-01 更新
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表格Intensive Care UnitsHealth Care CostsInfectionsDelivery of Health CareCritical Care
Costs of healthcare-associated infections in an Intensive Care Unit

基本信息

模态
表格
大小
0.029842904 GB
许可
CC BY 4.0
创建/更新时间
2021-05-01
版本
v1

资源简介

重症监护室医疗相关感染的成本

【一句话概览】

这项回顾性病例对照研究评估巴西戈亚斯州一家中型公立医院重症监护室中,有无医疗保健相关感染患者的住院费用。共纳入21例感染患者和42例对照。感染患者住院费用为非感染患者的四倍(p<0.001)。感染与更高死亡率(p<0.001)、更长住院时间(p=0.021)和更高住院费用(p=0.007)相关。结论是,确诊医疗保健相关感染患者的住院费用高于无此诊断者(来源 figshare,CC BY 4.0 许可)。

【数据集背景】

本数据集源站标题为《Costs of healthcare-associated infections in an Intensive Care Unit》。配套论文《Costs of healthcare-associated infections in an Intensive Care Unit》发表于 Revista Brasileira de Enfermagem(2021),DOI:10.1590/0034-7167-2020-0275。源站首次发布:2022-05-30。

【数据内容】

源站原始描述:ABSTRACT Objectives: to evaluate hospitalization costs of patients with and without Healthcare-Associated Infections an Intensive Care Unit. Methods: a retrospective case-control study. Data collection was retrieved from the medical records of Intensive Care Unit of a medium-sized public hospital in Goiás-Brazil. For each case, two controls were selected. Data on socioeconomic, clinical, and hospital costs were collected. To verify associations between variables, Odds Ratio and linear regression…

【数据结构与技术规格】

文件数 6 个,合计 29.84 MB。数据集 DOI:10.6084/m9.figshare.19928187.v1。

【主题与分类】

源站学科分类:Nursing not elsewhere classified。主题标签:Intensive Care Units、Health Care Costs、Infections、Delivery of Health Care、Critical Care。

【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://scielo.figshare.com/articles/dataset/Costs_of_healthcare-associated_infections_in_an_Intensive_Care_Unit/19928187

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

规范引用:Leal, Michelle Araujo; Freitas-Vilela, Ana Amélia de (2021). Costs of healthcare-associated infections in an Intensive Care Unit. SciELO journals. 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。

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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 "b4cf7e2dd474a8c76efa8428b7f16e0df3bd07a9.tif" "https://ndownloader.figshare.com/files/35434851"
curl -L -o "f5fb2ee6bcee616fcad113545498b40a9aa54a9b.png" "https://ndownloader.figshare.com/files/35434854"
curl -L -o "0debaf062ec892d1c6ffb16d9d0f6bb4c7f6d805.jpg" "https://ndownloader.figshare.com/files/35434857"
curl -L -o "4e3231584cc9c4afe345641a27b66edbb9e7bc0a.tif" "https://ndownloader.figshare.com/files/35434860"
curl -L -o "051edae8b714cbd459e9bef514a99ea7de7e0141.png" "https://ndownloader.figshare.com/files/35434863"
curl -L -o "06bdb44a460f7ec7d0fa6f19aeac259c3689b751.jpg" "https://ndownloader.figshare.com/files/35434866"

文件清单

  • b4cf7e2dd474a8c76efa8428b7f16e0df3bd07a9.tif(14.64 MB)
  • f5fb2ee6bcee616fcad113545498b40a9aa54a9b.png(266.19 KB)
  • 0debaf062ec892d1c6ffb16d9d0f6bb4c7f6d805.jpg(5.03 KB)
  • 4e3231584cc9c4afe345641a27b66edbb9e7bc0a.tif(14.64 MB)
  • 051edae8b714cbd459e9bef514a99ea7de7e0141.png(278.30 KB)
  • 06bdb44a460f7ec7d0fa6f19aeac259c3689b751.jpg(5.09 KB)

文件总体积 29.84 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 Objectives: to evaluate hospitalization costs of patients with and without Healthcare-Associated Infections an Intensive Care Unit. Methods: a retrospective case-control study. Data collection was retrieved from the medical records of Intensive Care Unit of a medium-sized public hospital in Goiás-Brazil. For each case, two controls were selected. Data on socioeconomic, clinical, and hospital costs were collected. To verify associations between variables, Odds Ratio and linear regression were calculated. Results: a total of 21 patients diagnosed with Healthcare-Associated Infections and 42 controls were evaluated. The hospitalization cost for patients with infection was four times higher than for non-infection patients (p-value<0.001). There was an association between infection and higher mortality (p-value <0.001), longer hospital-stay (p-value =0.021), and higher hospital costs (p-value =0.007). Conclusions: hospitalization costs of diagnosed Healthcare-Associated Infections patients are high compared to those who do not have this diagnosis.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.19928187.v1(source: https://scielo.figshare.com/articles/dataset/Costs_of_healthcare-associated_infections_in_an_Intensive_Care_Unit/19928187)。

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