2017年比利时根特大学医院急性中毒成人患者成本分析数据集

数据集获取（Figshare）

• 源站标题：Adults with acute poisoning admitted to a university hospital in Belgium in 2017: cost analysis benchmarked with national data
• DOI：10.6084/m9.figshare.12053946.v1
• 发布日期：2020-03-31
• 文件数：5 个
• 文件总体积：2.80 MB
• 源站页面：https://tandf.figshare.com/articles/dataset/Adults_with_acute_poisoning_admitted_to_a_university_hospital_in_Belgium_in_2017_cost_analysis_benchmarked_with_national_data/12053946

命令行下载

curl -L -o "ictx_a_1651856_sm1535.docx" "https://ndownloader.figshare.com/files/22151007"
curl -L -o "ictx_a_1651856_sm1527.docx" "https://ndownloader.figshare.com/files/22151010"
curl -L -o "ictx_a_1651856_sm1523.docx" "https://ndownloader.figshare.com/files/22151013"
curl -L -o "ictx_a_1651856_sm1514.docx" "https://ndownloader.figshare.com/files/22151016"
curl -L -o "ictx_a_1651856_sm1513.docx" "https://ndownloader.figshare.com/files/22151019"

文件清单

• ictx_a_1651856_sm1535.docx（5.07 KB）
• ictx_a_1651856_sm1527.docx（6.18 KB）
• ictx_a_1651856_sm1523.docx（2.29 MB）
• ictx_a_1651856_sm1514.docx（500.46 KB）
• ictx_a_1651856_sm1513.docx（4.45 KB）

文件总体积 2.80 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

Objective: Aims were to (1) analyse the direct cost charged by a university hospital to the government and the patient in case of an admission for acute poisoning, (2) identify the factors associated with the cost, and (3) compare the cost in the hospital studied with national data from the government.
Methods: Patient records and invoices of all poisoning-related episodes of patients 14 years or older admitted to the Emergency Department (ED) of Ghent University Hospital (GUH) in 2017 were analysed. A generalised linear model with gamma loglink was applied to assess the variables associated with the cost. Our GUH data collected in 2017 were compared with national data 2016 for all Belgian hospitals on the one hand, and for the subgroup of GUH 2016 data on the other hand. To do this, we used data provided by the Technical Unit of the Federal Public Service Health, containing All Patient Refined Diagnosis Related Groups 812 (poisoning by medicinal agents) and 816 (toxic effects by non-medicinal substances).
Results: The total direct cost for the treatment of 1,175 poisoned patients amounted to $1,830,870. Median direct cost per patient was $512 per episode, with $199 for ambulatory patients, $1,575 for patients admitted to the ED-observation-unit, $3,398 for hospitalised patients and $4,859 for patients treated in the intensive care unit. Factors associated with the cost were gender, degree of severity, type of hospitalisation, intentionality, and involvement of ethanol, paracetamol, antidepressants or amphetamines. Median hospitalisation cost per admission in GUH for medicinal agents was 70.5% higher than the cost reported in national hospitalisation data. Median cost per admission in case of non-medicinal agents was 54.5% higher than the national median 2016.
Conclusion: The type of hospitalisation has a high impact on the cost, a.o. primarily due to the length of hospital stay, with accommodation accounting for a large proportion of the costs. It is important to benchmark individual hospital data with (inter)national data to evaluate its own cost management in the context of continuous improvement.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.6084/m9.figshare.12053946.v1（source: https://tandf.figshare.com/articles/dataset/Adults_with_acute_poisoning_admitted_to_a_university_hospital_in_Belgium_in_2017_cost_analysis_benchmarked_with_national_data/12053946）。