Skip to main content
. 2024 Apr 12;8:e45959. doi: 10.2196/45959

Table 3.

Mental health characteristics of a sample of US adults from a cross-sectional survey examining the feasibility and acceptability of a mental health screening and referral chatbota.


Total Agreed to chatbot use Declined chatbot use Inferential statistics




Chi-square (df) P value Cramér V
Are you currently receiving mental health treatment (ie, therapy, medication, and peer support)? 15.13 (2) .001 0.21

Yesb 109 (33.1) 89 (81.7) 20 (18.3)



No 216 (65.7) 131 (60.6) 85 (39.4)



Prefer not to answer 4 (1.2) c


Have you ever received a diagnosis of a mental health condition from a doctor or counselor? 9.89 (2) <.01 0.17

Yesb 116 (35.3) 91 (78.4) 25 (21.6)



Nod 206 (62.6) 127 (61.7) 79 (38.3)



Unsure 7 (2.1) 4 (57.1) 3 (42.9)



Prefer not to answer 0 (0)


Are you currently experiencing any mental distress? 21.69 (2) <.001 0.26

Yesb 83 (25.3) 73 (88) 10 (12)



Nod 229 (69.6) 140 (61.1) 89 (38.9)



Unsure 17 (5.2) 9 (52.9) 8 (47.1)



Prefer not to answer 0 (0)


DSM-5e Cross Cutting Symptoms, mean (SD) 30.0 (22.4)


aCell counts <5 not presented for χ2 tests.

bThere was a statistically significant difference in the proportion of individuals agreeing to use the chatbot versus not agreeing between this category and those marked with “d.”

cnot available.

dThere was a statistically significant difference in the proportion of individuals agreeing to use the chatbot versus not agreeing between this category and those marked with “b.”

eDSM-5: Diagnostic and Statistical Manual of Mental Disorders, Fifth Edition.