Offline visit intention of online patients: the Grice’s maxims and patient involvement

Online Healthcare Consulting Services (OHCS) can benefit physicians and patients. However, it is unclear how OHCS and what types of persuasive content enhance patients’ intentions to visit offline. Based on the Elaboration Likelihood Model (ELM) and Grice’s maxims of the Cooperative Principle, we fo...

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Veröffentlicht in:BMC medical informatics and decision making Jg. 25; H. 1; S. 112 - 19
Hauptverfasser: Cao, Xianye, Liu, Yongmei, Fang, Zian, Zhu, Zhangxiang
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London BioMed Central 06.03.2025
BioMed Central Ltd
Springer Nature B.V
BMC
Schlagworte:
Adult
Behavior
Communication
ELM
Female
Grice’s maxims
Health attitudes
Health care
Health Informatics
Humans
Hypotheses
Information processing
Information systems
Information Systems and Communication Service
Intention
Internet
Male
Management of Computing and Information Systems
Medicine
Medicine & Public Health
Methods
Middle Aged
Online healthcare
Patient compliance
Patient involvement
Patient Participation - psychology
Patient satisfaction
Patients
Persuasive Communication
Physician patient relationships
Physicians
Practice
Professional ethics
Quality of service
Regression models
Reliability
Social support
Technology application
Telemedicine
Visit intention
Word of mouth advertising
China
Grice’s maxims
Patient involvement
Online healthcare
ELM
Visit intention
ISSN:1472-6947, 1472-6947
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Zusammenfassung:Online Healthcare Consulting Services (OHCS) can benefit physicians and patients. However, it is unclear how OHCS and what types of persuasive content enhance patients’ intentions to visit offline. Based on the Elaboration Likelihood Model (ELM) and Grice’s maxims of the Cooperative Principle, we formulated hypotheses related to factors in the central route, peripheral route, and patient involvement that influence patients’ offline visit intentions. We used the amount of information, reliability, relevance, and understandability to measure information quality. By collecting data from an online healthcare site, we employed a regression model to evaluate our hypotheses. The results revealed that central route factors (amount of information, reliability, relevance, and understandability) and peripheral cues positively affect patients’ offline visits. We also verified that patient involvement increases the impact of central route factors. This study extended the application of ELM and Grice’s maxims in the field of OHCS, offering insights into how patients form intentions to visit offline through persuasive online content and providing valuable practical guidance for online physicians.
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ISSN:1472-6947
1472-6947
DOI:10.1186/s12911-025-02861-8