BACKGROUND
The younger generation has experience utilizing Artificial Intelligence (AI) for learning and working as it progressively permeates society. AI-based medication counseling services may help people take medications more accurately and reduce adverse events. However, it is not known which AI-based medication counseling service will be preferred by young people.
OBJECTIVE
This study aims to assess young people's preferences for AI-based medication counseling services.
METHODS
A discrete choice experiment (DCE) approach was the main analysis method applied in this study, involving six attributes: granularity, linguistic comprehensibility, symptom-specific results, access platforms, content model, and costs. A mixed logit model was employed to evaluate participants' preferences for AI-based medication counseling services, the relative importance (RI) of attributes, and their willingness to pay (WTP).
RESULTS
340 participants were included in the analysis of this study, generating 8160 DCE observations. The results demonstrate that participants exhibited a strong preference for receiving 100% symptom-specific results (β=3.18, 95%CI 2.54-3.81, P<.001). Regarding content modes, video was significantly favored over text (β=0.86, 95%CI 0.51-1.22, P<.001). Participants also showed a clear preference for linguistic comprehensibility that was easy to understand compared to the difficult alternatives (β=0.81, 95%CI 0.46-1.16, P<.001). When considering the granularity, refined content was preferred over the general information (β=0.51 95%CI 0.21-0.8, P<.001). Finally, participants exhibited a notable preference for accessing information through WeChat applets rather than websites (β=0.66, 95%CI 0.27-1.05, P<.001). In terms of RI, symptom-specific results (RI=36.99%) and cost (RI=30.24%) occupied the largest portion. Participants' WTP for AI-based medication counseling services from high to low were 100% of the results for symptom-specific results, easy-to-understand language, video content mode, WeChat applet access platform, and refined medication counseling. In which the WTP of participants for 100% symptomatic was 24.01 CNY (95%CI 20.16-28.77) which occupies the highest value among all levels.
CONCLUSIONS
This study conducted an in-depth investigation of the preference of young people for AI-based medication counseling services. Service providers should pay attention to the symptom-specific results, support more convenient access platforms, and optimize the language description, content models that add multiple digital media interactions, and more refined medication counseling to develop AI-based medication counseling services.
CLINICALTRIAL
Ethical approval for this study was obtained from Dongying People's Hospital, Approved No. of Ethics Committee: DYYX-2023-168