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Online Health Information–Seeking Behaviors Among the Chongqing Population: Cross-Sectional Questionnaire Study

Online Health Information–Seeking Behaviors Among the Chongqing Population: Cross-Sectional Questionnaire Study

There was no financial compensation for patients or researchers nor any source of funding that could lead to a conflict of interest for the study. All data were input into an Epidata database (version 3.1) after checking and correcting errors. SPSS (version 22.0; IBM Corp) was used for analyses. A descriptive analysis (frequencies, percentages, and means with SDs) of the participant characteristics was performed. The chi-square test was used to compare OHIS behaviors among groups.

Honghui Rong, Lu Lu, Miao He, Tian Guo, Xian Li, Qingliu Tao, Yixin Li, Chuanfen Zheng, Ling Zhang, Fengju Li, Dali Yi, Enyu Lei, Ting Luo, Qinghua Yang, Ji-an Chen

JMIR Form Res 2025;9:e56028

MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol

MARIA (Medical Assistance and Rehabilitation Intelligent Agent) for Medication Adherence in Patients With Heart Failure: Empirical Results From a Wizard of Oz Systematic Conversational Agent Design Clinical Protocol

However, no study has specifically displayed a method for building agents’ natural language–based conversations to encourage and educate patients with HF about medication adherence, nor a standard for evaluating this type of CA design early in the development stage as a DH solution. Therefore, our study aims to adopt established design methods and conceive them into a systematic method that uses a clinical observational study protocol.

Nik Nailah Abdullah, Jia Tang, Hemad Fetrati, Nor Fadhilah Binti Kaukiah, Sahrin Bin Saharudin, Vee Sim Yong, Chia How Yen

JMIR Cardio 2025;9:e55846