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. 2024 Apr 1;7(4):e248833.
doi: 10.1001/jamanetworkopen.2024.8833.

Patient Perceptions of Chatbot Supervision in Health Care Settings

Jessica Ellis  1 , Mika K Hamer  1 , Marlee Akerson  1 , Matt Andazola  2 , Annie Moore  3 , Eric G Campbell  1   3 , Matthew DeCamp  1   3
Affiliations

Patient Perceptions of Chatbot Supervision in Health Care Settings

Jessica Ellis et al. JAMA Netw Open. .
No abstract available

Plain language summary

This survey study assesses whether patients communicating with a chatbot in a large health care system were able to accurately identify it as an unsupervised computer application.

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Conflict of interest statement

Conflict of Interest Disclosures: None reported.

Figures

Figure.
Figure.. Forest Plot of Adjusted Odds Ratios of Correctly Identifying Chatbot Supervision
Descriptive statistics and forest plot of adjusted odds ratios of correctly identifying chatbot supervision. a“Not unsupervised computer” combines the following survey responses: 101 (48.3%) “computer with a person watching over in real time,” 34 (16.3%) “real person,” and 74 (35.4%) “I don't know.” bTotals vary based on covariate missingness; 1 participant deleted due to missing outcome response. cOther sex category was removed from regression analysis due to small sample size. dOther race encompasses individuals who identified as the following race categories: American Indian or Alaska Native, Black or African American, Asian Indian, Chamorro, Chinese, Filipino, Japanese, Korean, Native Hawaiian, Other Asian, Other Pacific Islander, Samoan, Vietnamese. eHispanic encompasses individuals who identified as the following ethnicity categories: Cuban; Mexican, Mexican American, Chicano; Other Hispanic, Latino, or Spanish origin; Puerto Rican.
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References

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