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
{"title":"What Huntington's Disease Patients Say About Their Illness: An Online Direct-to-Participant Pilot Study.","authors":"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","doi":"10.3233/JHD-231520","DOIUrl":null,"url":null,"abstract":"<p><strong>Background: </strong>Direct-to-participant online reporting facilitates the conduct of clinical research by increasing access and clinically meaningful patient engagement.</p><p><strong>Objective: </strong>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.</p><p><strong>Methods: </strong>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.</p><p><strong>Results: </strong>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.</p><p><strong>Conclusions: </strong>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.</p>","PeriodicalId":16042,"journal":{"name":"Journal of Huntington's disease","volume":" ","pages":"237-248"},"PeriodicalIF":2.1000,"publicationDate":"2024-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Huntington's disease","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JHD-231520","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"NEUROSCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
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.