Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis
This study used natural language processing to generate domains for a new OA-specific HRQL index that is based on the views of people living with hip or knee OA. Six domains important to people living with OA formed the construct of HRQL. The next steps will be to create items based on the topics generated from this analysis and elicit people's preferences for the different items.
Authors
- C Allyson Jones (ORCID: https://orcid.org/0000-0002-3952-3234)
- Stanley Hum (ORCID: https://orcid.org/0000-0002-0193-7167)
- Nancy E. Mayo (ORCID: https://orcid.org/0000-0003-2066-7120)
- Eunjung Na (ORCID: https://orcid.org/0000-0002-2871-2507)
- Ayse Kuspinar
Institutions
- University of Alberta (CA)
- McGill University Health Centre (CA)
- McGill University (CA)
- McMaster University (CA)
Publication Details
- Journal
- Health and Quality of Life Outcomes
- Published
- 2024-12-31
- DOI
- https://doi.org/10.1186/s12955-024-02331-1
- Citations
- 2
- Primary Topic
- Osteoarthritis Treatment and Mechanisms
- Type
- article
- Field-Weighted Citation Impact
- 0.94
Funders
- Arthritis Society