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Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach
PURPOSE: Physician adoption of online medical services (OMS) has been hastened by the COVID-19 pandemic, but their adoption willingness still requires to be improved. This study aims to construct a physician’s OMS adoption willingness model based on the information-motivation-behavioral skill (IMB)...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710087/ https://www.ncbi.nlm.nih.gov/pubmed/34992374 http://dx.doi.org/10.2147/JMDH.S346675 |
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author | Peng, Xueqing Li, Zhiguang Zhang, Chi Wu, Qifeng Gu, Jinghong You, Hua |
author_facet | Peng, Xueqing Li, Zhiguang Zhang, Chi Wu, Qifeng Gu, Jinghong You, Hua |
author_sort | Peng, Xueqing |
collection | PubMed |
description | PURPOSE: Physician adoption of online medical services (OMS) has been hastened by the COVID-19 pandemic, but their adoption willingness still requires to be improved. This study aims to construct a physician’s OMS adoption willingness model based on the information-motivation-behavioral skill (IMB) theory, explore the determinants affecting adoption willingness and its influencing pathways, and evaluate the moderating effects of OMS use experience on willingness through multi-group analysis. PARTICIPANTS AND METHODS: A cross-sectional survey was conducted among physicians in three public hospitals of Jiangsu province, China, from June to July 2020, using a multi-stage sampling method. Structural equation modeling was applied to analyze the valid data from 531 respondents. RESULTS: Physicians’ willingness to adopt OMS was at a moderate level, with an average score of 14.27±3.34 (range: 4–20). The behavior model for physician’s OMS adoption willingness fitted well. Information (In), motivation (Mo), and behavioral skill (BS) explained 69% of the variance in adoption willingness (AW). Information could only exert completely indirect effect on willingness via behavioral skills (b = 0.202, 95% CI[0.122, 0.314]); motivation could both generate direct effect (β=0.368, p < 0.001) and partial indirect effect on willingness via behavioral skills (b = 0.160, 95% CI[0.092, 0.248]); and behavioral skills had a positive effect on willingness (β=0.424, p < 0.001). Furthermore, OMS use experience showed a significant moderating effect on the Mo → AW pathway, with inexperienced physicians’ willingness being significantly stronger influenced by motivation compared to experienced ones. CONCLUSION: Findings from this study revealed the role of IMB model in interpreting and predicting physicians’ willingness to adopt OMS and the moderating effect of uptake experience, providing practitioners with a theoretical foundation and intervention framework for supporting OMS development efforts. |
format | Online Article Text |
id | pubmed-8710087 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Dove |
record_format | MEDLINE/PubMed |
spelling | pubmed-87100872022-01-05 Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach Peng, Xueqing Li, Zhiguang Zhang, Chi Wu, Qifeng Gu, Jinghong You, Hua J Multidiscip Healthc Original Research PURPOSE: Physician adoption of online medical services (OMS) has been hastened by the COVID-19 pandemic, but their adoption willingness still requires to be improved. This study aims to construct a physician’s OMS adoption willingness model based on the information-motivation-behavioral skill (IMB) theory, explore the determinants affecting adoption willingness and its influencing pathways, and evaluate the moderating effects of OMS use experience on willingness through multi-group analysis. PARTICIPANTS AND METHODS: A cross-sectional survey was conducted among physicians in three public hospitals of Jiangsu province, China, from June to July 2020, using a multi-stage sampling method. Structural equation modeling was applied to analyze the valid data from 531 respondents. RESULTS: Physicians’ willingness to adopt OMS was at a moderate level, with an average score of 14.27±3.34 (range: 4–20). The behavior model for physician’s OMS adoption willingness fitted well. Information (In), motivation (Mo), and behavioral skill (BS) explained 69% of the variance in adoption willingness (AW). Information could only exert completely indirect effect on willingness via behavioral skills (b = 0.202, 95% CI[0.122, 0.314]); motivation could both generate direct effect (β=0.368, p < 0.001) and partial indirect effect on willingness via behavioral skills (b = 0.160, 95% CI[0.092, 0.248]); and behavioral skills had a positive effect on willingness (β=0.424, p < 0.001). Furthermore, OMS use experience showed a significant moderating effect on the Mo → AW pathway, with inexperienced physicians’ willingness being significantly stronger influenced by motivation compared to experienced ones. CONCLUSION: Findings from this study revealed the role of IMB model in interpreting and predicting physicians’ willingness to adopt OMS and the moderating effect of uptake experience, providing practitioners with a theoretical foundation and intervention framework for supporting OMS development efforts. Dove 2021-12-21 /pmc/articles/PMC8710087/ /pubmed/34992374 http://dx.doi.org/10.2147/JMDH.S346675 Text en © 2021 Peng et al. https://creativecommons.org/licenses/by-nc/3.0/This work is published and licensed by Dove Medical Press Limited. The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/ (https://creativecommons.org/licenses/by-nc/3.0/) ). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. For permission for commercial use of this work, please see paragraphs 4.2 and 5 of our Terms (https://www.dovepress.com/terms.php). |
spellingShingle | Original Research Peng, Xueqing Li, Zhiguang Zhang, Chi Wu, Qifeng Gu, Jinghong You, Hua Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title | Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title_full | Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title_fullStr | Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title_full_unstemmed | Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title_short | Assessing Determinants of Online Medical Services Adoption Willingness of General Hospital Physicians Using the Information-Motivation-Behavioral Skills Model: A Multi-Group Structural Equation Modeling Approach |
title_sort | assessing determinants of online medical services adoption willingness of general hospital physicians using the information-motivation-behavioral skills model: a multi-group structural equation modeling approach |
topic | Original Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8710087/ https://www.ncbi.nlm.nih.gov/pubmed/34992374 http://dx.doi.org/10.2147/JMDH.S346675 |
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