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. 2025 Dec 11;27:e84918. doi: 10.2196/84918

Table 4. Bivariate comparisons of characteristics by willingness to adopt large language models among patients and caregivers. Statistical comparisons were performed using t tests for continuous variables and Chi-square tests for categorical variables.

Variables Participants P valuea
Willing (n=187) Unwilling/uncertain (n=293)
Sex, n (%) .547
 Male 98 (52.4) 144 (49.1)
 Female 89 (47.6) 149 (50.9)
Role, n (%) .787
 Patient 142 (75.9) 218 (74.4)
 Caregiver 45 (24.1) 75 (25.6)
Education level, n (%) <.001
 Primary school or below 19 (10.2) 86 (29.4)
 Junior high school 28 (15) 66 (22.5)
 High school 40 (21.4) 65 (22.2)
 College 58 (31) 45 (15.4)
 Bachelor’s degree or above 42 (22.5) 31 (10.6)
Hospital affiliation, n (%) .886
 Nonaffiliated 78 (41.7) 119 (40.6)
 Affiliated 109 (58.3) 174 (59.4)
Hospital type, n (%) .462
 Oncology 33 (17.6) 61 (20.8)
 General 154 (82.4) 232 (79.2)
Province economic level, n (%) <.001
 Low 23 (12.3) 67 (22.9)
 Medium 97 (51.9) 61 (20.8)
 High 67 (35.8) 165 (56.3)
Frequency of digital tool use, n (%) <.001
 Rarely 4 (2.1) 90 (30.7)
 Occasionally 24 (12.8) 138 (47.1)
 Often 159 (85) 65 (22.2)
Previous awareness of LLMsb, n (%) .177
 Yes 102 (54.5) 140 (47.8)
 No 85 (45.5) 153 (52.2)
Previous use of LLMs, n (%) .118
 Yes 91 (48.7) 120 (41)
 No 96 (51.3) 173 (59)
Age (years), mean (SD) 49.5 (12.0) 50.5 (13.0) .410
Trust in LLMs (1-5), mean (SD) 3.02 (1.18) 2.36 (1.04) <.001
Perceived usefulness (1-5), mean (SD) 3.97 (0.70) 2.10 (0.88) <.001
Privacy concerns (1-5), mean (SD) 2.21 (1.77) 3.04 (1.25) <.001
a

P<.05 considered statistically significant.

b

LLM: large language model.