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Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study
BACKGROUND: Web-based health communities provide opportunities for doctors and patients to interact with each other and change the traditional communication mode between doctors and patients. However, little is known about the predictors of patients’ intention to interact with doctors in Web-based h...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
JMIR Publications
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592481/ https://www.ncbi.nlm.nih.gov/pubmed/31199296 http://dx.doi.org/10.2196/13693 |
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author | Wu, Tailai Deng, Zhaohua Chen, Zhuo Zhang, Donglan Wang, Ruoxi Wu, Xiang |
author_facet | Wu, Tailai Deng, Zhaohua Chen, Zhuo Zhang, Donglan Wang, Ruoxi Wu, Xiang |
author_sort | Wu, Tailai |
collection | PubMed |
description | BACKGROUND: Web-based health communities provide opportunities for doctors and patients to interact with each other and change the traditional communication mode between doctors and patients. However, little is known about the predictors of patients’ intention to interact with doctors in Web-based health communities in China. OBJECTIVE: The purpose of this study was to investigate what are the predictors of patients’ intention to interact with doctors in Web-based health communities in China. METHODS: On the basis of two-factor theory and service convenience theory, we propose that the attributes of Web-based health communities including ease of use and perceived synchronicity influence patients’ intention to interact through convenience of Web-based health communities, whereas the attributes of physical health facilities such as inaccessibility and discontinuity affect patients’ intention to interact through inconvenience of physical health facilities. We employed the survey method to validate our hypothesized relationships. Through developing the measurement instruments, we collected 334 valid answers from Web health community users and utilized partial least square to analyze the data. RESULTS: Ease of use (t(311)=2.924, P=.004) and perceived synchronicity (t(311)=2.353, P=.019) were found to influence convenience of Web-based health communities significantly, whereas inaccessibility (t(311)=3.189, P=.002) and discontinuity (t(311)=3.149, P=.002) were found to impact inconvenience of physical health facilities significantly. Meanwhile, both convenience of Web-based health communities (t(311)=2.353, P=.019) and inconvenience of physical health facilities (t(311)=2.787, P=.006) were found to affect patients’ intention to interact with doctors in Web-based health communities significantly. Therefore, all the proposed hypotheses were supported. CONCLUSIONS: Through including factors from both Web-based health communities and physical health facilities, we can understand patients’ intention to interact comprehensively. This study not only contributes to literature of doctor-patient interaction and Web-based health platforms but also provides implications to promote doctor-patient interaction online and offline. |
format | Online Article Text |
id | pubmed-6592481 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | JMIR Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-65924812019-07-17 Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study Wu, Tailai Deng, Zhaohua Chen, Zhuo Zhang, Donglan Wang, Ruoxi Wu, Xiang J Med Internet Res Original Paper BACKGROUND: Web-based health communities provide opportunities for doctors and patients to interact with each other and change the traditional communication mode between doctors and patients. However, little is known about the predictors of patients’ intention to interact with doctors in Web-based health communities in China. OBJECTIVE: The purpose of this study was to investigate what are the predictors of patients’ intention to interact with doctors in Web-based health communities in China. METHODS: On the basis of two-factor theory and service convenience theory, we propose that the attributes of Web-based health communities including ease of use and perceived synchronicity influence patients’ intention to interact through convenience of Web-based health communities, whereas the attributes of physical health facilities such as inaccessibility and discontinuity affect patients’ intention to interact through inconvenience of physical health facilities. We employed the survey method to validate our hypothesized relationships. Through developing the measurement instruments, we collected 334 valid answers from Web health community users and utilized partial least square to analyze the data. RESULTS: Ease of use (t(311)=2.924, P=.004) and perceived synchronicity (t(311)=2.353, P=.019) were found to influence convenience of Web-based health communities significantly, whereas inaccessibility (t(311)=3.189, P=.002) and discontinuity (t(311)=3.149, P=.002) were found to impact inconvenience of physical health facilities significantly. Meanwhile, both convenience of Web-based health communities (t(311)=2.353, P=.019) and inconvenience of physical health facilities (t(311)=2.787, P=.006) were found to affect patients’ intention to interact with doctors in Web-based health communities significantly. Therefore, all the proposed hypotheses were supported. CONCLUSIONS: Through including factors from both Web-based health communities and physical health facilities, we can understand patients’ intention to interact comprehensively. This study not only contributes to literature of doctor-patient interaction and Web-based health platforms but also provides implications to promote doctor-patient interaction online and offline. JMIR Publications 2019-06-07 /pmc/articles/PMC6592481/ /pubmed/31199296 http://dx.doi.org/10.2196/13693 Text en ©Tailai Wu, Zhaohua Deng, Zhuo Chen, Donglan Zhang, Ruoxi Wang, Xiang Wu. Originally published in the Journal of Medical Internet Research (http://www.jmir.org), 07.06.2019. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on http://www.jmir.org/, as well as this copyright and license information must be included. |
spellingShingle | Original Paper Wu, Tailai Deng, Zhaohua Chen, Zhuo Zhang, Donglan Wang, Ruoxi Wu, Xiang Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title | Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title_full | Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title_fullStr | Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title_full_unstemmed | Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title_short | Predictors of Patients’ Intention to Interact With Doctors in Web-Based Health Communities in China: Cross-Sectional Study |
title_sort | predictors of patients’ intention to interact with doctors in web-based health communities in china: cross-sectional study |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6592481/ https://www.ncbi.nlm.nih.gov/pubmed/31199296 http://dx.doi.org/10.2196/13693 |
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