糖尿病 Medicare 受益人中的本地人口特征与血红蛋白 A1c 检测率
基于 480,745 名糖尿病 Medicare 受益人的 HbA1c 检测记录,分析 ZIP code 级检测率与本地人口特征的关联。

基本信息
资源简介
糖尿病 Medicare 受益人中的本地人口特征与血红蛋白 A1c 检测率
【一句话概览】
本数据集是 figshare 公开的结构化表格数据集,收录 2 个文件、合计 1.30 MB,主题涵盖 zip、1c Testing Rates、Medicare beneficiaries、school education、Local Population Characteristics,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《Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries》。配套论文《Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries》发表于 PLoS ONE(2014),DOI:10.1371/journal.pone.0111119。源站首次发布:2014-10-31。
【数据内容】
源站原始描述:Background Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers'' control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown. Met…
主表 Data_S1.txt 含 11 列、样本前 2000 行结构完整。
文件 Codebook_S1.txt 为文本内容,开头为: zipcode (unla…
【数据结构与技术规格】
文件数 2 个,合计 1.30 MB。Data_S1.txt:text/plain,1.30 MB。Codebook_S1.txt:text/plain,7.09 KB。数据集 DOI:10.1371/journal.pone.0111119。
【主题与分类】
源站学科分类:Biological Sciences、Science Policy。主题标签:zip、1c Testing Rates、Medicare beneficiaries、school education、Local Population Characteristics、care quality measures、HbA 1c tests、ci、population characteristics、HbA 1c testing rates。
【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。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/_Local_Population_Characteristics_and_Hemoglobin_A1c_Testing_Rates_among_Diabetic_Medicare_Beneficiaries_/1224674
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:C. Yasaitis, Laura; Bubolz, Thomas; S. Skinner, Jonathan; Chandra, Amitabh (2016). Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries. PLOS ONE. Dataset
【使用注意】
· 源站最后修改于 2023-06-02,引用时请注意版本时效。
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:Local Population Characteristics and Hemoglobin A1c Testing Rates among Diabetic Medicare Beneficiaries
- DOI:10.1371/journal.pone.0111119
- 发布日期:2014-10-31
- 文件数:2 个
- 文件总体积:1.30 MB
- 源站页面:https://plos.figshare.com/articles/dataset/_Local_Population_Characteristics_and_Hemoglobin_A1c_Testing_Rates_among_Diabetic_Medicare_Beneficiaries_/1224674
命令行下载
curl -L -o "Data_S1.txt" "https://ndownloader.figshare.com/files/1774121"
curl -L -o "Codebook_S1.txt" "https://ndownloader.figshare.com/files/1774122"
文件清单
Data_S1.txt(1.30 MB)Codebook_S1.txt(7.09 KB)
文件总体积 1.30 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
Background
Proposed payment reforms in the US healthcare system would hold providers accountable for the care delivered to an assigned patient population. Annual hemoglobin A1c (HbA1c) tests are recommended for all diabetics, but some patient populations may face barriers to high quality healthcare that are beyond providers’’ control. The magnitude of fine-grained variations in care for diabetic Medicare beneficiaries, and their associations with local population characteristics, are unknown.
Methods
HbA1c tests were recorded for 480,745 diabetic Medicare beneficiaries. Spatial analysis was used to create ZIP code-level estimated testing rates. Associations of testing rates with local population characteristics that are outside the control of providers – population density, the percent African American, with less than a high school education, or living in poverty – were assessed.
Results
In 2009, 83.3% of diabetic Medicare beneficiaries received HbA1c tests. Estimated ZIP code-level rates ranged from 71.0% in the lowest decile to 93.1% in the highest. With each 10% increase in the percent of the population that was African American, associated HbA1c testing rates were 0.24% lower (95% CI −0.32–−0.17); for identical increases in the percent with less than a high school education or the percent living in poverty, testing rates were 0.70% lower (−0.95–−0.46) and 1.6% lower (−1.8–−1.4), respectively. Testing rates were lowest in the least and most densely populated ZIP codes. Population characteristics explained 5% of testing rate variations.
Conclusions
HbA1c testing rates are associated with population characteristics, but these characteristics fail to explain the vast majority of variations. Consequently, even complete risk-adjustment may have little impact on some process of care quality measures; much of the ZIP code-related variations in testing rates likely result from provider-based differences and idiosyncratic local factors not related to poverty, education, or race.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.1371/journal.pone.0111119(source: https://plos.figshare.com/articles/dataset/_Local_Population_Characteristics_and_Hemoglobin_A1c_Testing_Rates_among_Diabetic_Medicare_Beneficiaries_/1224674)。
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