创伤后医疗及生产力成本与重返工作的预后因素数据集

数据集获取（Figshare）

• 源站标题：Prognostic factors for medical and productivity costs, and return to work after trauma
• DOI：10.1371/journal.pone.0230641
• 发布日期：2020-03-25
• 文件数：2 个
• 文件总体积：354.44 KB
• 源站页面：https://plos.figshare.com/articles/dataset/Prognostic_factors_for_medical_and_productivity_costs_and_return_to_work_after_trauma/12031659

命令行下载

curl -L -o "pone.0230641.s001.pdf" "https://ndownloader.figshare.com/files/22110369"
curl -L -o "pone.0230641.s002.docx" "https://ndownloader.figshare.com/files/22110372"

文件清单

• pone.0230641.s001.pdf（331.91 KB）
• pone.0230641.s002.docx（22.53 KB）

文件总体积 354.44 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

Aim
The aim of this study was to determine prognostic factors for medical and productivity costs, and return to work (RTW) during the first two years after trauma in a clinical trauma population.
Methods
This prospective multicentre observational study followed all adult trauma patients (≥18 years) admitted to a hospital in Noord-Brabant, the Netherlands from August 2015 through November 2016. Health care consumption, productivity loss and return to work were measured in questionnaires at 1 week, 1, 3, 6, 12 and 24 months after injury. Data was linked with hospital registries. Prognostic factors for medical costs and productivity costs were analysed with log-linked gamma generalized linear models. Prognostic factors for RTW were assessed with Cox proportional hazards model. The predictive ability of the models was assessed with McFadden R2 (explained variance) and c-statistics (discrimination).
Results
A total of 3785 trauma patients (39% of total study population) responded to at least one follow-up questionnaire. Mean medical costs per patient (€9,710) and mean productivity costs per patient (€9,000) varied widely. Prognostic factors for high medical costs were higher age, female gender, spine injury, lower extremity injury, severe head injury, high injury severity, comorbidities, and pre-injury health status. Productivity costs were highest in males, and in patients with spinal cord injury, high injury severity, longer length of stay at the hospital and patients admitted to the ICU. Prognostic factors for RTW were high educational level, male gender, low injury severity, shorter length of stay at the hospital and absence of comorbidity.
Conclusions
Productivity costs and RTW should be considered when assessing the economic impact of injury in addition to medical costs. Prognostic factors may assist in identifying high cost groups with potentially modifiable factors for targeted preventive interventions, hence reducing costs and increasing RTW rates.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0230641（source: https://plos.figshare.com/articles/dataset/Prognostic_factors_for_medical_and_productivity_costs_and_return_to_work_after_trauma/12031659）。