合并精神疾病的急性心肌梗死患者入院医院质量关联数据集

基于Medicare数据,分析急性心肌梗死合并精神疾病患者是否更倾向被收入低质量医院,并考察医院质量与合并症对预后的影响。

Figshare
2016-01-18 更新
浏览 16
表格amipatientscomorbidadmittedhospitals
Are AMI Patients with Comorbid Mental Illness More Likely to be Admitted to Hospitals with Lower Quality of AMI Care?

基本信息

模态
表格
大小
0.000049291 GB
许可
CC BY 4.0
创建/更新时间
2016-01-18
版本
v1

资源简介

合并精神疾病的急性心肌梗死患者入院医院质量关联数据集

【数据集背景】

本数据集源站标题为《Are AMI Patients with Comorbid Mental Illness More Likely to be Admitted to Hospitals with Lower Quality of AMI Care?》。配套论文《Are AMI Patients with Comorbid Mental Illness More Likely to be Admitted to Hospitals with Lower Quality of AMI Care?》发表于 PLoS ONE(2013),DOI:10.1371/journal.pone.0060258。源站首次发布:2013-04-03。

【数据内容】

源站原始描述:Objective Older patients with comorbid mental illness are shown to receive less appropriate care for their medical conditions. This study analyzed Medicare patients hospitalized for acute myocardial infarction (AMI) and determined whether those with comorbid mental illness were more likely to present to hospitals with lower quality of AMI care. Methods Retrospective analyses of Medicare claims in 2008. Hospital quality was measured using the five “Hospital Compare” process indicators (aspirin at…

【数据结构与技术规格】

文件数 2 个,合计 49.29 KB。Table_S1.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,24.33 KB。Table_S2.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,24.96 KB。数据集 DOI:10.1371/journal.pone.0060258。

【主题与分类】

源站学科分类:Medicine、Mental Health、Biotechnology。主题标签:ami、patients、comorbid、admitted、hospitals。

【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/_Are_AMI_Patients_with_Comorbid_Mental_Illness_More_Likely_to_be_Admitted_to_Hospitals_with_Lower_Quality_of_AMI_Care_/665000

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

规范引用:Cai, Xueya; Li, Yue (2016). Are AMI Patients with Comorbid Mental Illness More Likely to be Admitted to Hospitals with Lower Quality of AMI Care?. PLOS ONE. 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。

⚡️ 需要原始数据或标注支持?联系我们获取定制方案。

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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 "Table_S1.docx" "https://ndownloader.figshare.com/files/1004330"
curl -L -o "Table_S2.docx" "https://ndownloader.figshare.com/files/1004331"

文件清单

  • Table_S1.docx(24.33 KB)
  • Table_S2.docx(24.96 KB)

文件总体积 49.29 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

Objective
Older patients with comorbid mental illness are shown to receive less appropriate care for their medical conditions. This study analyzed Medicare patients hospitalized for acute myocardial infarction (AMI) and determined whether those with comorbid mental illness were more likely to present to hospitals with lower quality of AMI care.
Methods
Retrospective analyses of Medicare claims in 2008. Hospital quality was measured using the five “Hospital Compare” process indicators (aspirin at admission/discharge, beta-blocker at admission/discharge, and angiotension-converting enzyme inhibitor or angiotension receptor blocker for left ventricular dysfunction). Multinomial logit model determined the association of mental illness with admission to low-quality hospitals (rank of the composite process score th percentile) or high-quality hospitals (rank>90th percentile), compared to admissions to other hospitals with medium quality. Multivariate analyses further determined the effects of hospital type and mental diagnosis on outcomes.
Results
Among all AMI admissions to 2,845 hospitals, 41,044 out of 287,881 patients were diagnosed with mental illness. Mental illness predicted a higher likelihood of admission to low-quality hospitals (unadjusted rate 2.9% vs. 2.0%; adjusted odds ratio [OR]1.25, 95% confidence interval [CI] 1.17–1.34, pConclusions
Among Medicare myocardial infarction patients, comorbid mental illness was associated with an increased risk for admission to lower-quality hospitals. Both lower hospital quality and mental illness predicted worse post-AMI outcomes.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0060258(source: https://plos.figshare.com/articles/dataset/_Are_AMI_Patients_with_Comorbid_Mental_Illness_More_Likely_to_be_Admitted_to_Hospitals_with_Lower_Quality_of_AMI_Care_/665000)。

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。

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