Centering Patient Voices in Lupus Pain: A Biopsychosocial Analysis of Reddit Narratives Using Large Language Models
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View abstract on PubMed
Summary
This summary is machine-generated.Large language models (LLMs) analyzed Reddit data to understand lupus pain experiences. This reveals crucial psychosocial and nociplastic pain dimensions often missed in clinical settings.
Area Of Science
- Rheumatology
- Natural Language Processing
- Digital Health
Background
- Online patient communities offer rich data on chronic illness experiences.
- Understanding the multidimensional nature of lupus pain is crucial for effective management.
- Traditional clinical settings may underrepresent psychosocial and cultural aspects of pain.
Purpose Of The Study
- To apply natural language processing (NLP) and large language models (LLMs) to Reddit discussions.
- To characterize multidimensional pain experiences in lupus patients within the biopsychosocial framework.
- To identify themes related to pain complaints, management, and patient-reported outcomes.
Main Methods
- Extracted Reddit posts from lupus-specific subreddits (June 2010–December 2023).
- Identified pain-related posts using a clinical lexicon and applied topic modeling.
- Utilized LLMs fine-tuned on the biopsychosocial model for summary generation and content analysis.
Main Results
- Analyzed 31,785 posts from 10,857 authors, identifying pain dimensions (sociocultural, affective, nociplastic).
- LLM-generated summaries showed moderate thematic accuracy (3.1/4) and content coverage (2.9/4).
- Nociplastic pain was prevalent (56.3%), alongside significant sociocultural aspects like peer support (33.8%) and provider issues (10.1%).
Conclusions
- NLP and LLMs can extract valuable, multidimensional pain insights from online lupus communities.
- These methods highlight underrepresented psychological, social, and cultural pain facets.
- Findings support enhanced patient-centered care in rheumatology by integrating online community data.
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