按症状严重程度划分的重症肌无力患者及其照顾者工作生产力减少的成本分析表2
基于MyRealWorld-MG研究,分析重症肌无力患者及其照顾者因症状严重程度导致的工作生产力损失(病假、减工时、提前退休)及成本。

基本信息
资源简介
按症状严重程度划分的重症肌无力患者及其照顾者工作生产力减少的成本分析表2
【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 26.02 KB,主题涵盖 ADAPT、caregivers、costs、efgartigimod、GMG,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《Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx》。配套论文《The iMTA Productivity Cost Questionnaire》发表于 Value in Health(2015),DOI:10.1016/j.jval.2015.05.009。源站首次发布:2025-04-25。
【数据内容】
源站原始描述:IntroductionMyasthenia Gravis (MG) is a debilitating autoimmune disorder associated with fatigue and weakness in the ocular, respiratory, bulbar and limb muscles. This study evaluates productivity losses for MG patients and their caregivers by MG symptom severity. MethodsIn the multinational MyRealWorld-MG study, 1,049 MG patients and caregivers reported on work productivity (sick leave, reduced working hours, early retirement). Productivity losses were calculated using the average wage per hour…
【数据结构与技术规格】
文件数 1 个,合计 26.02 KB。Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx:application/vnd.openxmlformats-officedocument.wordprocessingml.document,26.02 KB。数据集 DOI:10.3389/fpubh.2025.1538789.s002。
【主题与分类】
源站学科分类:Public Health and Health Services not elsewhere classified。主题标签:ADAPT、caregivers、costs、efgartigimod、GMG、generalized myasthenia gravis、MyRealWorld-MG、productivity losses。
【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/Table_2_A_cost_analysis_of_reductions_in_work_productivity_for_MG_patients_and_their_caregivers_by_symptom_severity_docx/28863515
使用许可:CC BY 4.0(https://creativecommons.org/licenses/by/4.0/)。
规范引用:Dewilde, Sarah; Qi, Cynthia Z.; De Ruyck, Femke; Paci, Sandra; Van de Veire, Lucas; Griffiths, Alison; et al. (2025). Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx. Frontiers. 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:Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx
- DOI:10.3389/fpubh.2025.1538789.s002
- 发布日期:2025-04-25
- 文件数:1 个
- 文件总体积:26.02 KB
- 源站页面:https://frontiersin.figshare.com/articles/dataset/Table_2_A_cost_analysis_of_reductions_in_work_productivity_for_MG_patients_and_their_caregivers_by_symptom_severity_docx/28863515
命令行下载
curl -L -o "Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx" "https://ndownloader.figshare.com/files/53971034"
文件清单
Table 2_A cost analysis of reductions in work productivity for MG patients and their caregivers by symptom severity.docx(26.02 KB)
文件总体积 26.02 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
IntroductionMyasthenia Gravis (MG) is a debilitating autoimmune disorder associated with fatigue and weakness in the ocular, respiratory, bulbar and limb muscles. This study evaluates productivity losses for MG patients and their caregivers by MG symptom severity.
MethodsIn the multinational MyRealWorld-MG study, 1,049 MG patients and caregivers reported on work productivity (sick leave, reduced working hours, early retirement). Productivity losses were calculated using the average wage per hour. A UK perspective was adopted for the whole sample, and country-specific analyses were conducted for Italy, Spain and the US. The MG-Activities of Daily Living (MG-ADL) score was used to estimate the association between symptom severity and productivity losses, with patients categorized as having mild (0–4), moderate (5-9), or severe (> = 10) symptoms.
ResultsIn the MyRealWorld-MG study, 36.5% of MG patients reported taking sick leave within the last month and 11.4% reported stopping work (or retiring early) due to MG. Furthermore, 36.0% required caregiver support with 14.6% of caregivers reducing working hours and 13.4% stopping work. Mean productivity losses were £16,630/year for patients and caregivers combined, largely attributable to patient productivity losses (£13,891). Patients with severe MG incurred 3.8 times more productivity losses compared to patients with mild disease. Productivity loss estimates varied between Italy, Spain and the US.
ConclusionThe impact of MG on patients’ and caregivers’ work productivity leads many of them to reduce work hours or retire early, resulting in significant productivity losses. The magnitude of these productivity losses is correlated with symptom severity and varies by country.
许可
CC BY 4.0
引用
学术使用请引用 DOI 10.3389/fpubh.2025.1538789.s002(source: https://frontiersin.figshare.com/articles/dataset/Table_2_A_cost_analysis_of_reductions_in_work_productivity_for_MG_patients_and_their_caregivers_by_symptom_severity_docx/28863515)。
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