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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| Vydáno v: | BMC medical informatics and decision making Ročník 25; číslo 1; s. 112 - 19 |
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| Hlavní autoři: | , , , |
| Médium: | Journal Article |
| Jazyk: | angličtina |
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London
BioMed Central
06.03.2025
BioMed Central Ltd Springer Nature B.V BMC |
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| ISSN: | 1472-6947, 1472-6947 |
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| Abstract | 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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| AbstractList | 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. Keywords: Visit intention, Online healthcare, ELM, Grice's maxims, 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 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.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. 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. Abstract 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. |
| ArticleNumber | 112 |
| Audience | Academic |
| Author | Liu, Yongmei Cao, Xianye Zhu, Zhangxiang Fang, Zian |
| Author_xml | – sequence: 1 givenname: Xianye surname: Cao fullname: Cao, Xianye organization: School of Business Administration, Hunan University of Technology and Business, School of Business, Central South University – sequence: 2 givenname: Yongmei surname: Liu fullname: Liu, Yongmei email: liuyongmeicn@163.com organization: School of Business, Central South University – sequence: 3 givenname: Zian surname: Fang fullname: Fang, Zian organization: School of Business, Central South University – sequence: 4 givenname: Zhangxiang surname: Zhu fullname: Zhu, Zhangxiang organization: College of Tourism, Hunan Normal University |
| BackLink | https://www.ncbi.nlm.nih.gov/pubmed/40050859$$D View this record in MEDLINE/PubMed |
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| SubjectTerms | 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 |
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| Title | Offline visit intention of online patients: the Grice’s maxims and patient involvement |
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