Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis
Abstract Background Health-related quality of life (HRQL) is an important endpoint when evaluating the effectiveness of interventions in people living with hip and knee osteoarthritis (OA). The aim of this study was to generate domains for a new OA-specific preference-based index of HRQL in people l...
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| Format: | Article |
| Language: | English |
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BMC
2024-12-01
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| Series: | Health and Quality of Life Outcomes |
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| Online Access: | https://doi.org/10.1186/s12955-024-02331-1 |
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| author | Ayse Kuspinar Eunjung Na Stanley Hum Allyson Jones Nancy Mayo |
| author_facet | Ayse Kuspinar Eunjung Na Stanley Hum Allyson Jones Nancy Mayo |
| author_sort | Ayse Kuspinar |
| collection | DOAJ |
| description | Abstract Background Health-related quality of life (HRQL) is an important endpoint when evaluating the effectiveness of interventions in people living with hip and knee osteoarthritis (OA). The aim of this study was to generate domains for a new OA-specific preference-based index of HRQL in people living with hip or knee OA. Methods The proposed HRQL index was based on a formative measurement model. The study included people aged 50 years and older, who reported being diagnosed with hip or knee OA. Participants reported the most important areas of their lives affected by OA. BERTopic method was used for topic modeling as part of Natural Language Processing. Hierarchical topic modeling was applied to merge similar topics together. Results A total of 102 people participated from across Canada. The participants had a mean age of 64.3 ± 7.6 years, and they reported having either knee (48.0%) or hip (16.7%) OA, or both (35.3%). Six major topics that affect the quality of life of people with OA emerged from the BERTopic analysis. Pain, going up and down stairs, walking, standing at home or work, sleep, and playing with grandchildren were the major concerns reported by people living with OA. Conclusion 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. |
| format | Article |
| id | doaj-art-2073e0e8fcca4f31a0a5fca994481d4f |
| institution | Kabale University |
| issn | 1477-7525 |
| language | English |
| publishDate | 2024-12-01 |
| publisher | BMC |
| record_format | Article |
| series | Health and Quality of Life Outcomes |
| spelling | doaj-art-2073e0e8fcca4f31a0a5fca994481d4f2025-01-05T12:47:15ZengBMCHealth and Quality of Life Outcomes1477-75252024-12-012211710.1186/s12955-024-02331-1Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritisAyse Kuspinar0Eunjung Na1Stanley Hum2Allyson Jones3Nancy Mayo4School of Rehabilitation Science, Faculty of Health Sciences, McMaster UniversitySchool of Rehabilitation Science, Faculty of Health Sciences, McMaster UniversityCentre for Outcomes Research and Evaluation, McGill University Health Centre-Research InstituteFaculty of Rehabilitation Medicine, Physical Therapy, University of AlbertaCentre for Outcomes Research and Evaluation, McGill University Health Centre-Research InstituteAbstract Background Health-related quality of life (HRQL) is an important endpoint when evaluating the effectiveness of interventions in people living with hip and knee osteoarthritis (OA). The aim of this study was to generate domains for a new OA-specific preference-based index of HRQL in people living with hip or knee OA. Methods The proposed HRQL index was based on a formative measurement model. The study included people aged 50 years and older, who reported being diagnosed with hip or knee OA. Participants reported the most important areas of their lives affected by OA. BERTopic method was used for topic modeling as part of Natural Language Processing. Hierarchical topic modeling was applied to merge similar topics together. Results A total of 102 people participated from across Canada. The participants had a mean age of 64.3 ± 7.6 years, and they reported having either knee (48.0%) or hip (16.7%) OA, or both (35.3%). Six major topics that affect the quality of life of people with OA emerged from the BERTopic analysis. Pain, going up and down stairs, walking, standing at home or work, sleep, and playing with grandchildren were the major concerns reported by people living with OA. Conclusion 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.https://doi.org/10.1186/s12955-024-02331-1OsteoarthritisHealth-related quality of lifePatient generated IndexTopic modelingPreference-based measureNatural language processing |
| spellingShingle | Ayse Kuspinar Eunjung Na Stanley Hum Allyson Jones Nancy Mayo Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis Health and Quality of Life Outcomes Osteoarthritis Health-related quality of life Patient generated Index Topic modeling Preference-based measure Natural language processing |
| title | Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis |
| title_full | Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis |
| title_fullStr | Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis |
| title_full_unstemmed | Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis |
| title_short | Use of advanced topic modeling to generate domains for a preference-based index in osteoarthritis |
| title_sort | use of advanced topic modeling to generate domains for a preference based index in osteoarthritis |
| topic | Osteoarthritis Health-related quality of life Patient generated Index Topic modeling Preference-based measure Natural language processing |
| url | https://doi.org/10.1186/s12955-024-02331-1 |
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