按类别和子组划分的年中位成本

基于伊朗健康保险组织2014-2017年数据,包含170万糖尿病患者的年度中位药物成本和抗生素使用信息,用于分析医疗费用。

Figshare
2026-02-27 更新
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表格study comprised 1optimize resource allocationone drug classguide reimbursement policydefined daily dosesadjusted mean ratioq1 &# 8211patient &# 821754 &# 821138 &# 82112014 &# 821109 &# 8211
Median annual costs by category and subgroup.

基本信息

模态
表格
大小
0.000009728 GB
许可
CC BY 4.0
创建/更新时间
2026-02-27
版本
v1

资源简介

按类别和子组划分的年中位成本

【数据集背景】

本数据集源站标题为《Median annual costs by category and subgroup.》。源站首次发布:2026-02-27。

【数据内容】

源站原始描述:Background The rising prevalence of diabetes is increasing the healthcare costs especially when associated with infection. We aimed to assess the antibiotic consumption and medication costs in diabetes. Methods We performed a retrospective claims-based study using Iranian Health Insurance Organization (IHIO) dataset from 24 provinces during 2014–2017. Systemic antibacterials were quantified in defined daily doses and diabetic patients were stratified into “No antibiotic” (NAb) and quartiles of c…

【数据结构与技术规格】

文件数 1 个,合计 9.73 KB。Table 5.xls:application/vnd.ms-excel,9.73 KB。数据集 DOI:10.1371/journal.pone.0343090.t005。

【主题与分类】

源站学科分类:Medicine、Biotechnology、Science Policy、Infectious Diseases、Virology。主题标签:study comprised 1、optimize resource allocation、one drug class、guide reimbursement policy、defined daily doses、adjusted mean ratio、q1 &# 8211、patient &# 8217、54 &# 8211、38 &# 8211。

【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/_p_Median_annual_costs_by_category_and_subgroup_p_/31432613

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

规范引用:Ghotbi, Arash Bagherian; Khoshparast, Benyamin; Hekmat, Hamidreza; Shahali, Zahra; Golestani, Ali; Tabatabaei-Malazy, Ozra (2026). Median annual costs by category and subgroup.. PLOS ONE. 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。

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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 5.xls" "https://ndownloader.figshare.com/files/62243849"

文件清单

  • Table 5.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
The rising prevalence of diabetes is increasing the healthcare costs especially when associated with infection. We aimed to assess the antibiotic consumption and medication costs in diabetes.
Methods
We performed a retrospective claims-based study using Iranian Health Insurance Organization (IHIO) dataset from 24 provinces during 2014–2017. Systemic antibacterials were quantified in defined daily doses and diabetic patients were stratified into “No antibiotic” (NAb) and quartiles of cumulative antibiotic exposure (Q1–Q4). A dominant antidiabetic regimen was assigned when ≥80% of a patient’s diabetes prescriptions came from one drug class or combination. Inflation-adjusted annual medication costs were modelled with log-link Gamma generalized linear models.
Results
The study comprised 1,704,182 individuals (62.0% women). Biguanides alone were most common dominant diabetes regimen (40%), whereas penicillin accounted for 35.8% of all antibiotic dispensing. Mean annual medication costs were 93 USD for women and 138 USD for men; however, after adjustment men incurred slightly lower costs than women. Compared with the NAb group, costs rose progressively with antibiotic exposure, reaching an adjusted mean ratio (MR) 3.17 (95%CI 3.09–3.25) in Q4. Relative to biguanide monotherapy, costs were markedly higher for regimens biguanides + insulins (MR 5.75, 5.54–5.97) or insulins alone (MR 5.53, 5.38–5.68).
Conclusion
Quantifying the joint impact of antidiabetic regimens and antibiotic use on treatment costs highlights key factors driving healthcare expenditures. These findings can inform targeted antibiotic stewardship strategies and guide reimbursement policy to optimize resource allocation and reduce the financial burden on both patients and insurers.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.1371/journal.pone.0343090.t005(source: https://plos.figshare.com/articles/dataset/_p_Median_annual_costs_by_category_and_subgroup_p_/31432613)。

数据缺失?

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