Voluntary
ChatGPT
Query Sharing With Nurse Feedback and Serum Phosphorus in Peritoneal Dialysis Patients
Hui‐Chih Wang, Tsang‐Hsien Wang, Ying‐Wen Chi, Yu‐Juei Hsu, Chih‐Chien Sung, Yu‐Hsi Huang, Her‐Sen Doong ABSTRACT
Introduction
This study examined whether voluntary ChatGPT query sharing with nurse feedback was associated with serum phosphorus in patients receiving peritoneal dialysis (PD).
Methods
In this prospective longitudinal study, eighty‐eight patients completed a 3‐month program (T1–T3) and 2‐month follow‐up. Twenty shared ChatGPT query screenshots with nurses via LINE and received feedback. Linear mixed‐effects models examined serum phosphorus and the ratio relative to the 12‐month pre‐program mean (PR‐P12M).
Results
Query sharing was associated with lower serum phosphorus across 5 months ( p = 0.025), without a significant group × time interaction. Sidak‐adjusted month‐specific comparisons showed lower serum phosphorus at T2 (mean difference = 0.687 mg/dL; 95% CI, 0.199–1.174; p = 0.006). PR‐P12M was similarly associated with query sharing ( p = 0.008), without a significant group × time interaction.
Conclusion
Voluntary ChatGPT query sharing with nurse feedback was associated with lower serum phosphorus, suggesting a potential role for AI‐assisted dietary information seeking within nurse‐guided phosphorus education in PD care.