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Factors affecting physicians using mobile health applications: an empirical study

BACKGROUND: Mobile health applications (mHealth apps) have created innovative service channels for patients with chronic diseases. These innovative service channels require physicians to actively use mHealth apps. However, few studies investigate physicians’ participation in mHealth apps. OBJECTIVE:...

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Detalles Bibliográficos
Autores principales: Wu, Pei, Zhang, Runtong, Luan, Jing, Zhu, Minghao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729011/
https://www.ncbi.nlm.nih.gov/pubmed/34983501
http://dx.doi.org/10.1186/s12913-021-07339-7
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author Wu, Pei
Zhang, Runtong
Luan, Jing
Zhu, Minghao
author_facet Wu, Pei
Zhang, Runtong
Luan, Jing
Zhu, Minghao
author_sort Wu, Pei
collection PubMed
description BACKGROUND: Mobile health applications (mHealth apps) have created innovative service channels for patients with chronic diseases. These innovative service channels require physicians to actively use mHealth apps. However, few studies investigate physicians’ participation in mHealth apps. OBJECTIVE: This study aims to empirically explore factors affecting physicians’ usage behaviors of mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and mHealth apps features, we propose a research model including altruism, cognitive trust, and online ratings. METHODS: We collected data from physicians who have used mHealth apps and conducted a factor analysis to verify the convergence and discriminative effects. We used a hierarchical regression method to test the path coefficients and statistical significance of our research model. In addition, we adopted bootstrapping approach and further analyzed the mediating effects of behavioral intention between all antecedent variables and physicians’ usage behavior. Finally, we conducted three robustness analyses to test the validity of results and tested the constructs to verify the common method bias. RESULTS: Our results support the effects of performance expectancy, effort expectancy, social influence, and altruism on the behavioral intentions of physicians using mHealth apps. Moreover, facilitating conditions and habits positively affect physicians using mHealth apps through the mediating effort of behavioral intention. Physicians’ cognitive trust and online rating have significant effects on their usage behaviors through the mediating efforts of behavioral intention. CONCLUSIONS: This study contributes to the existing literature on UTAUT2 extension of physicians’ acceptance of mHealth apps by adding altruism, cognitive trust, and online ratings. The results of this study provide a novel perspective in understanding the factors affecting physicians’ usage behaviors on mHealth apps in China and provide such apps’ managers with an insight into the promotion of physicians’ active acceptance and usage behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07339-7.
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spelling pubmed-87290112022-01-06 Factors affecting physicians using mobile health applications: an empirical study Wu, Pei Zhang, Runtong Luan, Jing Zhu, Minghao BMC Health Serv Res Research BACKGROUND: Mobile health applications (mHealth apps) have created innovative service channels for patients with chronic diseases. These innovative service channels require physicians to actively use mHealth apps. However, few studies investigate physicians’ participation in mHealth apps. OBJECTIVE: This study aims to empirically explore factors affecting physicians’ usage behaviors of mHealth apps. Based on the extended Unified Theory of Acceptance and Use of Technology (UTAUT2) and mHealth apps features, we propose a research model including altruism, cognitive trust, and online ratings. METHODS: We collected data from physicians who have used mHealth apps and conducted a factor analysis to verify the convergence and discriminative effects. We used a hierarchical regression method to test the path coefficients and statistical significance of our research model. In addition, we adopted bootstrapping approach and further analyzed the mediating effects of behavioral intention between all antecedent variables and physicians’ usage behavior. Finally, we conducted three robustness analyses to test the validity of results and tested the constructs to verify the common method bias. RESULTS: Our results support the effects of performance expectancy, effort expectancy, social influence, and altruism on the behavioral intentions of physicians using mHealth apps. Moreover, facilitating conditions and habits positively affect physicians using mHealth apps through the mediating effort of behavioral intention. Physicians’ cognitive trust and online rating have significant effects on their usage behaviors through the mediating efforts of behavioral intention. CONCLUSIONS: This study contributes to the existing literature on UTAUT2 extension of physicians’ acceptance of mHealth apps by adding altruism, cognitive trust, and online ratings. The results of this study provide a novel perspective in understanding the factors affecting physicians’ usage behaviors on mHealth apps in China and provide such apps’ managers with an insight into the promotion of physicians’ active acceptance and usage behaviors. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12913-021-07339-7. BioMed Central 2022-01-04 /pmc/articles/PMC8729011/ /pubmed/34983501 http://dx.doi.org/10.1186/s12913-021-07339-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Wu, Pei
Zhang, Runtong
Luan, Jing
Zhu, Minghao
Factors affecting physicians using mobile health applications: an empirical study
title Factors affecting physicians using mobile health applications: an empirical study
title_full Factors affecting physicians using mobile health applications: an empirical study
title_fullStr Factors affecting physicians using mobile health applications: an empirical study
title_full_unstemmed Factors affecting physicians using mobile health applications: an empirical study
title_short Factors affecting physicians using mobile health applications: an empirical study
title_sort factors affecting physicians using mobile health applications: an empirical study
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8729011/
https://www.ncbi.nlm.nih.gov/pubmed/34983501
http://dx.doi.org/10.1186/s12913-021-07339-7
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