Authors: Anderson, Karen E. | Arbatti, Lakshmi | Hosamath, Abhishek | Feigin, Andrew | Goldstein, Jody | Kayson, Elise | Kinsler, Brett L. | Falanga, Lauren | Denise, Lynn | Carlozzi, Noelle E. | Frank, Samuel | Jackson, Katie | Kostyk, Sandra | Purks, Jennifer L. | Serbin, Kenneth P. | Kinel, Shari | Beck, Christopher A. | Shoulson, Ira
Article Type:
Research Article
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.
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Keywords: Patient-reported outcomes, Huntington’s disease, machine learning, self-report
DOI: 10.3233/JHD-231520
Citation: Journal of Huntington's Disease,
vol. 13, no. 2, pp. 237-248, 2024
Price: EUR 27.50