Accepted for/Published in: JMIR Rehabilitation and Assistive Technologies
Date Submitted: Jan 22, 2025
Date Accepted: Apr 15, 2025
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Exploring the Role of ChatGPT in Urinary Symptom Management for Individuals with Spinal Cord Injury/Disease: A Qualitative Study
ABSTRACT
Background:
Individuals with spinal cord injury or disease (SCI/D) experience disproportionately high rates of recurrent urinary tract infections (UTIs), which are often complicated by atypical symptoms and delayed diagnoses. Patient-centered tools, like the Urinary Symptom Questionnaires for Neurogenic Bladder (USQNB), have been developed to support symptom assessment yet remain underutilized. Generative AI tools, such as ChatGPT, may offer a more usable approach to improving symptom management by providing real-time, tailored health information directly to patients.
Objective:
This study explores the role of ChatGPT (version 3.5) in supporting urinary symptom management for individuals with SCI/D, focusing on its perceived accuracy, usefulness, and impact on healthcare engagement and self-management practices.
Methods:
Thirty individuals with SCI/D were recruited through advocacy groups and healthcare networks. Using realistic, scenario-based testing derived from validated tools for symptom management with SCI/D, such as the USQNB, participants interacted with ChatGPT to seek advice for urinary symptoms. Follow-up interviews were conducted remotely to assess individuals’ experiences using ChatGPT for urinary symptom management. Data were analyzed using inductive content analysis, with themes refined iteratively through a consensus-based process.
Results:
People with SCI/D reported high levels of trust in ChatGPT’s recommendations, with all 30 participants agreeing or strongly agreeing with the advice provided. ChatGPT’s responses were perceived as clear and comparable to professional medical advice. Participants mentioned concerns about the lack of sources and integration with patient-specific data. ChatGPT influenced individuals’ decision-making by supporting symptom assessment and guiding participants on when to seek professional care or pursue self-management strategies.
Conclusions:
ChatGPT is a promising tool for symptom assessment and managing chronic conditions, such as urinary symptoms in individuals with SCI/D. While ChatGPT enhances accessibility to health information, further research is needed to improve its transparency and integration with personalized health data to be a more usable tool in making informed health decisions.
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