To assess and contrast the efficacy of DeepSeek-R1 and ChatGPT-4.0 as digital information resources for nursing practitioners in managing patients with gout.
Key Findings:
DeepSeek-R1 had a higher FKGL (13.04) compared to ChatGPT-4.0 (11.41), indicating lower readability.
ChatGPT-4.0 had a higher mDISCERN quality score (4.30) than DeepSeek-R1 (3.98), though not statistically significant.
DeepSeek-R1 provided more current citations (average age 3.57 years) compared to ChatGPT-4.0 (5.42 years).
DeepSeek-R1 had 4 invalid reference links, while both models cited clinical guidelines predominantly.
Interpretation:
Both LLMs provided high-quality, evidence-based responses, but ChatGPT-4.0 was more coherent in language, despite DeepSeek-R1 offering more recent references.
Limitations:
The study focused on a limited number of inquiries regarding gout.
The statistical significance of some findings was not established.
Conclusion:
While both models are effective in providing nursing information for gout management, ChatGPT-4.0's clarity and coherence make it a preferable resource despite DeepSeek-R1's more current references.
