Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States
Abstract Introduction This study aimed to characterize patient-reported outcomes from social media conversations in the gout community. The impact of management strategy differences on the community’s emotional states was explored. Methods We analyzed two social media sources using a variety of natu...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
| Language: | English |
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Adis, Springer Healthcare
2024-01-01
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| Series: | Rheumatology and Therapy |
| Subjects: | |
| Online Access: | https://doi.org/10.1007/s40744-023-00637-y |
| _version_ | 1797266630247448576 |
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| author | Maurice Flurie Monica Converse E. Robert Wassman Brian LaMoreaux N. Lawrence Edwards Colton Flowers Daniel Hernandez Helen W. Hernandez Gary Ho Christopher Parker Christopher DeFelice Maria Picone |
| author_facet | Maurice Flurie Monica Converse E. Robert Wassman Brian LaMoreaux N. Lawrence Edwards Colton Flowers Daniel Hernandez Helen W. Hernandez Gary Ho Christopher Parker Christopher DeFelice Maria Picone |
| author_sort | Maurice Flurie |
| collection | DOAJ |
| description | Abstract Introduction This study aimed to characterize patient-reported outcomes from social media conversations in the gout community. The impact of management strategy differences on the community’s emotional states was explored. Methods We analyzed two social media sources using a variety of natural language processing techniques. We isolated conversations with a high probability of discussing disease management (score > 0.99). These conversations were stratified by management type: proactive or reactive. The polarity (positivity/negativity) of language and emotions conveyed in statements shared by community members was assessed by management type. Results Among the statements related to management, reactive management (e.g., urgent care) was mentioned in 0.5% of statements, and proactive management (e.g., primary care) was mentioned in 0.6% of statements. Reactive management statements had a significantly larger proportion of negative words (59%) than did proactive management statements (44%); “fear” occurred more frequently with reactive statements, whereas “trust” predominated in proactive statements. Allopurinol was the most common medication in proactive management statements, whereas reactive management had significantly higher counts of prednisone/steroid mentions. Conclusions A unique aspect of examining gout-related social media conversations is the ability to better understand the intersection of clinical management and emotional impacts in the gout community. The effect of social media statements was significantly stratified by management type for gout community members, where proactive management statements were characterized by more positive language than reactive management statements. These results suggest that proactive disease management may result in more positive mental and emotional experiences in patients with gout. |
| first_indexed | 2024-04-25T01:03:44Z |
| format | Article |
| id | doaj.art-5283bc1146b34bc2be1393adb004faa1 |
| institution | Directory Open Access Journal |
| issn | 2198-6576 2198-6584 |
| language | English |
| last_indexed | 2024-04-25T01:03:44Z |
| publishDate | 2024-01-01 |
| publisher | Adis, Springer Healthcare |
| record_format | Article |
| series | Rheumatology and Therapy |
| spelling | doaj.art-5283bc1146b34bc2be1393adb004faa12024-03-10T12:21:51ZengAdis, Springer HealthcareRheumatology and Therapy2198-65762198-65842024-01-0111230131110.1007/s40744-023-00637-ySocial Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional StatesMaurice Flurie0Monica Converse1E. Robert Wassman2Brian LaMoreaux3N. Lawrence Edwards4Colton Flowers5Daniel Hernandez6Helen W. Hernandez7Gary Ho8Christopher Parker9Christopher DeFelice10Maria Picone11TREND CommunityTREND CommunityTREND CommunityHorizon Therapeutics PlcDepartment of Medicine, University of FloridaTREND CommunityGlobal Healthy Living FoundationKAL Research Initiatives LLCTREND CommunityGout Support Group of AmericaTREND CommunityTREND CommunityAbstract Introduction This study aimed to characterize patient-reported outcomes from social media conversations in the gout community. The impact of management strategy differences on the community’s emotional states was explored. Methods We analyzed two social media sources using a variety of natural language processing techniques. We isolated conversations with a high probability of discussing disease management (score > 0.99). These conversations were stratified by management type: proactive or reactive. The polarity (positivity/negativity) of language and emotions conveyed in statements shared by community members was assessed by management type. Results Among the statements related to management, reactive management (e.g., urgent care) was mentioned in 0.5% of statements, and proactive management (e.g., primary care) was mentioned in 0.6% of statements. Reactive management statements had a significantly larger proportion of negative words (59%) than did proactive management statements (44%); “fear” occurred more frequently with reactive statements, whereas “trust” predominated in proactive statements. Allopurinol was the most common medication in proactive management statements, whereas reactive management had significantly higher counts of prednisone/steroid mentions. Conclusions A unique aspect of examining gout-related social media conversations is the ability to better understand the intersection of clinical management and emotional impacts in the gout community. The effect of social media statements was significantly stratified by management type for gout community members, where proactive management statements were characterized by more positive language than reactive management statements. These results suggest that proactive disease management may result in more positive mental and emotional experiences in patients with gout.https://doi.org/10.1007/s40744-023-00637-yDisease managementEmotionsGoutMental healthSocial listening |
| spellingShingle | Maurice Flurie Monica Converse E. Robert Wassman Brian LaMoreaux N. Lawrence Edwards Colton Flowers Daniel Hernandez Helen W. Hernandez Gary Ho Christopher Parker Christopher DeFelice Maria Picone Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States Rheumatology and Therapy Disease management Emotions Gout Mental health Social listening |
| title | Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States |
| title_full | Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States |
| title_fullStr | Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States |
| title_full_unstemmed | Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States |
| title_short | Social Listening in Gout: Impact of Proactive vs. Reactive Management on Self-Reported Emotional States |
| title_sort | social listening in gout impact of proactive vs reactive management on self reported emotional states |
| topic | Disease management Emotions Gout Mental health Social listening |
| url | https://doi.org/10.1007/s40744-023-00637-y |
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