利用率分析的患者特征数据集
基于Medicare索赔数据,分析中风患者出院后康复利用率地区差异的表格数据集。

基本信息
资源简介
利用率分析的患者特征数据集
【数据集背景】
本数据集源站标题为《Patient characteristics for utilization analyses.》。源站首次发布:2025-08-12。
【数据内容】
源站原始描述:Background Outpatient rehabilitation plays a vital role in providing post-discharge care for stroke survivors’ optimum recovery. Geographic variability in access to post-stroke rehabilitation care in rural areas is poorly understood. Methods This study used Medicare claims from 2016 to 2019 to estimate incidence of stroke discharges home and compared rehabilitation utilization rates after discharge from acute hospitalization in the state of Texas. We also examined spatial accessibility to post-d…
【数据结构与技术规格】
文件数 1 个,合计 9.73 KB。Table 1.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0328267.t001。
【主题与分类】
源站学科分类:Cell Biology、Biotechnology、Evolutionary Biology、Environmental Sciences not elsewhere classified、Cancer、Science Policy。主题标签:supplemented claims results、primary diagnosis codes、outpatient clinic services、find discernable differences、better understand locations、adjusted relative rate、adjusted rate difference、outpatient stroke rehabilitation、stroke discharges home、stroke rehabilitation 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://plos.figshare.com/articles/dataset/Patient_characteristics_for_utilization_analyses_/29894227
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Wozny, Joseph; Howard, Melissa; Doherty, Susan; Zhu, Yenan; Sonawane, Kalyani; Parker, Dorothea; et al. (2025). Patient characteristics for utilization analyses.. PLOS ONE. Dataset
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)
- 源站标题:Patient characteristics for utilization analyses.
- DOI:10.1371/journal.pone.0328267.t001
- 发布日期:2025-08-12
- 文件数:1 个
- 文件总体积:9.73 KB
- 源站页面:https://plos.figshare.com/articles/dataset/Patient_characteristics_for_utilization_analyses_/29894227
命令行下载
curl -L -o "Table 1.xls" "https://ndownloader.figshare.com/files/57134839"
文件清单
Table 1.xls(9.73 KB)
文件总体积 9.73 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
Background
Outpatient rehabilitation plays a vital role in providing post-discharge care for stroke survivors’ optimum recovery. Geographic variability in access to post-stroke rehabilitation care in rural areas is poorly understood.
Methods
This study used Medicare claims from 2016 to 2019 to estimate incidence of stroke discharges home and compared rehabilitation utilization rates after discharge from acute hospitalization in the state of Texas. We also examined spatial accessibility to post-discharge outpatient rehabilitation centers between rural and urban areas. We supplemented claims results with a survey to better understand locations where outpatient rehabilitation clinics provided services to stroke patients.
Results
After discharge from the hospital, patients from rural counties neighboring urban counties had lower adjusted predicted probabilities of using outpatient clinic services compared to urban areas. Patients with primary diagnosis codes of stroke sequelae: adjusted relative rate of 0.84 (CI: 0.76,0.93) with an adjusted rate difference of −0.05 (CI: −0.08, −0.02), cerebral infarction: adjusted relative rate of 0.82 (CI: 0.72,0.91) with adjusted rate difference of −0.04 (CI: −0.06,-0.02), hemorrhagic patients: adjusted relative rate of 0.81 (CI: 0.71,0.91) with an adjusted rate difference of −0.04 (CI: −0.06,-0.01). We did not find discernable differences between rural and urban areas for home health utilization or the combination of outpatient clinic services with home health as a single category. Estimates from a floating-catchment spatial accessibility model scaled from 0 (worst access) to 1 (best access) showed that, compared to urban counties, indices in rural not adjacent to urban counties were −0.16 (CI: −0.23, −0.08) lower and −0.14 (CI: −0.20, −0.08) lower in rural areas in counties adjacent to urban counties.
Conclusions
Compared to urban areas, rural areas have lower spatial access to and utilization of outpatient clinic services in the state of Texas.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0328267.t001(source: https://plos.figshare.com/articles/dataset/Patient_characteristics_for_utilization_analyses_/29894227)。
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。
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