儿童创伤性脑损伤医疗需求与长期成本建模数据表

基于Optum数据库的儿童创伤性脑损伤患者医疗成本与资源利用纵向数据,用于预测长期医疗需求。

NIAID Data Ecosystem
浏览 16
表格traumatic brain injuryfuture treatment costfuture caremedical claims datainjury severitypediatric
Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx

基本信息

模态
表格
大小
0.000821264 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

儿童创伤性脑损伤医疗需求与长期成本建模数据表

【一句话概览】

本数据集是 figshare 公开的结构化表格数据集,收录 1 个文件、合计 821.26 KB,主题涵盖 traumatic brain injury、future treatment cost、future care、medical claims data、injury severity,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《Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx》。配套论文《Pediatric traumatic brain injury: Acute and rehabilitation costs》发表于 Archives of Physical Medicine and Rehabilitation(1993),DOI:10.1016/0003-9993%2893%2990024-5。源站首次发布:2024-11-29。

【数据内容】

源站原始描述:IntroductionTraumatic brain injury (TBI) is a leading cause of death and disability in children, but data on the longitudinal healthcare and financial needs of pediatric patients is limited in scope and duration. We sought to describe and predict these metrics following acute inpatient treatment for TBI. MethodsChildren surviving their initial inpatient treatment for TBI were identified from Optum’s deidentified Clinformatics® Data Mart Database (2007-2018). Treatment cost, healthcare utilizatio…

【数据结构与技术规格】

文件数 1 个,合计 821.26 KB。Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,821.26 KB。数据集 DOI:10.3389/fneur.2024.1385100.s001。

【主题与分类】

源站学科分类:Neurology and Neuromuscular Diseases。主题标签:traumatic brain injury、future treatment cost、future care、medical claims data、injury severity、pediatric。

【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://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Modeling_healthcare_demands_and_long-term_costs_following_pediatric_traumatic_brain_injury_docx/27929022

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

规范引用:Wiegand, Jared G.; Moazzam, Zorays; Braga, Bruno P.; Messiah, Sarah E.; Qureshi, Faisal G. (2024). Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx. Frontiers. Dataset

官方服务

专家保障全链路合规授权与标注交付

陕川双基地 × 超十家三甲医院直连

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。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

帮我联系

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 "Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx" "https://ndownloader.figshare.com/files/50874591"

文件清单

  • Data Sheet 1_Modeling healthcare demands and long-term costs following pediatric traumatic brain injury.docx(821.26 KB)

文件总体积 821.26 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

IntroductionTraumatic brain injury (TBI) is a leading cause of death and disability in children, but data on the longitudinal healthcare and financial needs of pediatric patients is limited in scope and duration. We sought to describe and predict these metrics following acute inpatient treatment for TBI.
MethodsChildren surviving their initial inpatient treatment for TBI were identified from Optum’s deidentified Clinformatics® Data Mart Database (2007-2018). Treatment cost, healthcare utilization, and future inpatient readmission were stratified by follow-up intervals, type of claim, and injury severity. Both TBI-related and non-TBI related future cost and healthcare utilization were explored using linear mixed models. Acute inpatient healthcare utilization metrics were analyzed and used to predict future treatment cost and healthcare demands using linear regression models.
ResultsAmong 7,400 patients, the majority suffered a mild TBI (50.2%). For patients with at least one-year follow-up (67.7%), patients accrued an average of 28.7 claims and $27,199 in costs, with 693 (13.8%) readmitted for TBI or non-TBI related causes. Severe TBI patients had a greater likelihood of readmission. Initial hospitalization length of stay and discharge disposition other than home were significant positive predictors of healthcare and financial utilization at one-and five-years follow-up. Linear mixed models demonstrated that pediatric TBI patients would accrue 21.1 claims and $25,203 in cost in the first year, and 9.4 claims and $4,147 in costs every additional year, with no significant differences based on initial injury severity.
DiscussionPediatric TBI patients require long-term healthcare and financial resources regardless of injury severity. Our cumulative findings provide essential information to clinicians, caretakers, researchers, advocates, and policymakers to better shape standards, expectations, and management of care following TBI.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fneur.2024.1385100.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Modeling_healthcare_demands_and_long-term_costs_following_pediatric_traumatic_brain_injury_docx/27929022)。

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。

获取专属数据定制方案