通过社交媒体支持组促进溶血性尿毒综合征长期健康结果评估的数据表1

通过社交媒体支持组调查溶血性尿毒综合征患者的长期健康结果与成本,包含74例病例的症状、治疗及心理影响数据。

NIAID Data Ecosystem
浏览 11
文本hemolytic uremic syndromelong-term health outcomesposttraumatic stress (PTS)foodborne illnessburden of illnesscost of illness (COI)
Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF

基本信息

模态
文本
大小
0.000259627 GB
许可
CC BY 4.0
创建/更新时间
2026-10-08
版本
v1

资源简介

通过社交媒体支持组促进溶血性尿毒综合征长期健康结果评估的数据表1

【一句话概览】

本数据集是 figshare 公开的文本数据集,收录 1 个文件、合计 259.63 KB,主题涵盖 hemolytic uremic syndrome、long-term health outcomes、posttraumatic stress (PTS)、foodborne illness、burden of illness,可用于医学自然语言处理(实体识别、信息抽取等),CC BY 4.0 许可开放获取。

【数据集背景】

本数据集源站标题为《Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF》。配套论文《Long-term Renal Prognosis of Diarrhea-Associated Hemolytic Uremic Syndrome》发表于 JAMA(2003),DOI:10.1001/jama.290.10.1360。源站首次发布:2020-11-23。

【数据内容】

源站原始描述:Individual burden and cost of hemolytic uremic syndrome (HUS)—a medical condition characterized by acute kidney failure—can be substantial when accounting for long-term health outcomes (LTHOs). Because of the low incidence of HUS, evaluation of associated LTHOs is often restricted to physician and outbreak cohorts, both of which may not be representative of all HUS cases. This exploratory study recruited participants from private social media support groups for families of HUS cases to identify…

【数据结构与技术规格】

文件数 1 个,合计 259.63 KB。Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF:application/pdf,259.63 KB。数据集 DOI:10.3389/fpubh.2020.544154.s001。

【主题与分类】

源站学科分类:Health and Community Services、Health Care Administration、Health Counselling、Health Information Systems (incl. Surveillance)、Health Promotion、Preventive Medicine。主题标签:hemolytic uremic syndrome、long-term health outcomes、posttraumatic stress (PTS)、foodborne illness、burden of illness、cost of illness (COI)。

【适用方向】

文本类数据可用于医学自然语言处理,如命名实体识别、信息抽取与文本分类。

【获取与许可】

源站页面:https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Facilitating_Evaluation_of_Hemolytic_Uremic_Syndrome_Long-Term_Health_Outcomes_Through_Social_Media_Support_Groups_PDF/13272239

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

规范引用:Beczkiewicz, Aaron T. E.; Scharff, Robert L.; Kowalcyk, Barbara B. (2020). Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF. Frontiers. Dataset

【使用注意】

· 源站最后修改于 2023-06-06,引用时请注意版本时效。

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下载信息

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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。

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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 "Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF" "https://ndownloader.figshare.com/files/25559159"

文件清单

  • Data_Sheet_1_Facilitating Evaluation of Hemolytic Uremic Syndrome Long-Term Health Outcomes Through Social Media Support Groups.PDF(259.63 KB)

文件总体积 259.63 KB(源站 API 实测)。

数据说明

Individual burden and cost of hemolytic uremic syndrome (HUS)—a medical condition characterized by acute kidney failure—can be substantial when accounting for long-term health outcomes (LTHOs). Because of the low incidence of HUS, evaluation of associated LTHOs is often restricted to physician and outbreak cohorts, both of which may not be representative of all HUS cases. This exploratory study recruited participants from private social media support groups for families of HUS cases to identify potential LTHOs and costs of HUS that are not currently measured. Additionally, this study sought to identify case characteristics that may confound or modify these LTHOs and costs of HUS. Respondents self-selected to complete an online cross-sectional survey on acute and chronic illness history, treatments, and public health follow-up for HUS cases. Posttraumatic stress among respondents (typically case parents) was also evaluated. Responses were received for 74 HUS cases from 71 families representing all geographic regions, and levels of urbanicity within the US self-reported symptoms were typical for HUS, while 35.1% of cases reported antibiotic treatment at any point during the acute illness. Hospital transfers were reported by 71.6% of cases introducing possible delays to care. More than 70% of cases reported experiencing at least one LTHO, with 45% of cases reporting renal sequelae. Posttraumatic stress symptoms were frequently reported by respondents indirectly affected by HUS. Potentially large economic costs that are not addressed in existing analyses were identified including both financial and more general welfare losses (lost utility). While biases in the study design limit the generalizability of results to all HUS cases, this study provides new insights into unmeasured LTHOs and costs associated with HUS. These results suggest that robustly designed cohort studies on HUS should include measures of psychosocial impacts on both the affected individual and their family members.

许可

CC BY 4.0

引用

学术使用请引用 DOI 10.3389/fpubh.2020.544154.s001(source: https://frontiersin.figshare.com/articles/dataset/Data_Sheet_1_Facilitating_Evaluation_of_Hemolytic_Uremic_Syndrome_Long-Term_Health_Outcomes_Through_Social_Media_Support_Groups_PDF/13272239)。

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