亨廷顿氏病患者对疾病的看法:一项直接面向参与者的在线试点研究。

IF 2.1 Q3 NEUROSCIENCES
Karen E Anderson, Lakshmi Arbatti, Abhishek Hosamath, Andrew Feigin, Jody Goldstein, Elise Kayson, Brett L Kinsler, Lauren Falanga, Lynn Denise, Noelle E Carlozzi, Samuel Frank, Katie Jackson, Sandra Kostyk, Jennifer L Purks, Kenneth P Serbin, Shari Kinel, Christopher A Beck, Ira Shoulson
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引用次数: 0

摘要

背景:直接面向参与者的在线报告通过增加患者参与的机会和临床意义,促进了临床研究的开展:我们评估了从已确诊亨廷顿氏病(HD)的成人患者处收集在线数据的可行性,他们直接用自己的话报告了自己的问题和影响:我们通过在线方式收集了美国居民的数据,这些居民自称:1)已被确诊为亨廷顿氏病;2)能够独立行走;3)能够满足大部分日常需求。这项试点研究的数据是通过亨廷顿研究小组的 myHDstory 在线研究平台收集的。亨廷顿病患者问题报告(HD-PROP)是一份开放式问卷,用于逐字记录困扰患者的问题和对患者功能的影响。自然语言处理、由临床和经验专家参与的逐字报告环内人工整理以及机器学习将逐字报告分类为有临床意义的症状:345名参与者完成了在线试点研究的全部8份问卷,其中60.9%为男性,年龄为34.5±9.9(平均±SD)岁,确诊HD的时间为9.5±8.4年。他们的种族自我认同为:46.4% 白种人、28.7% 非裔美国人、15.4% 美洲印第安人/阿拉斯加原住民和 9.5% 其他。逐字分类的准确率为 99%。非运动性问题是最常报告的症状;抑郁和认知障碍是最常见的症状:对于自我报告确诊为 HD 并主要出现与情绪和认知相关的非运动症状的不同成人群体来说,参与在线研究是可行的。在线研究工具有助于了解 HD 患者的困扰,确定有临床意义的结果,并促进不同人群和代表性不足人群的参与。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
What Huntington's Disease Patients Say About Their Illness: An Online Direct-to-Participant Pilot Study.

Background: Direct-to-participant online reporting facilitates the conduct of clinical research by increasing access and clinically meaningful patient engagement.

Objective: We assessed feasibility of online data collection from adults with diagnosed Huntington's disease (HD) who directly reported their problems and impact in their own words.

Methods: Data were collected online from consenting United States residents who self-identified as 1) having been diagnosed with Huntington's disease, 2) able to ambulate independently, and 3) self-sufficient for most daily needs. Data for this pilot study were collected using the Huntington Study Group myHDstory online research platform. The Huntington Disease Patient Report of Problems (HD-PROP), an open-ended questionnaire, was used to capture verbatim bothersome problems and functional impact. Natural language processing, human-in-the-loop curation of verbatim reports involving clinical and experience experts, and machine learning classified verbatim-reports into clinically meaningful symptoms.

Results: All 8 questionnaires in the online pilot study were completed by 345 participants who were 60.9% men, 34.5±9.9 (mean±SD) years old, and 9.5±8.4 years since HD diagnosis. Racial self-identification was 46.4% Caucasian, 28.7% African American, 15.4% American Indian/Alaska Native, and 9.5% other. Accuracy of verbatim classification was 99%. Non-motor problems were the most frequently reported symptoms; depression and cognitive impairment were the most common.

Conclusions: Online research participation was feasible for a diverse cohort of adults who self-reported an HD diagnosis and predominantly non-motor symptoms related to mood and cognition. Online research tools can help inform what bothers HD patients, identify clinically meaningful outcomes, and facilitate participation by diverse and under-represented populations.

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来源期刊
CiteScore
4.80
自引率
9.70%
发文量
60
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