Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM
The sudden COVID-19 outbreak has raised awareness of the importance and benefits of digital health. To gain insight into patient acceptance and trust in the use of digital healthcare in the context of a pandemic, this study extends a new model based on the Unified Theory of Acceptance and Use of Tec...
| Main Author: | |
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| Format: | Dissertation (University of Nottingham only) |
| Language: | English |
| Published: |
2022
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| Online Access: | https://eprints.nottingham.ac.uk/70523/ |
| _version_ | 1848800622441136128 |
|---|---|
| author | Xiang, Qianyu |
| author_facet | Xiang, Qianyu |
| author_sort | Xiang, Qianyu |
| building | Nottingham Research Data Repository |
| collection | Online Access |
| description | The sudden COVID-19 outbreak has raised awareness of the importance and benefits of digital health. To gain insight into patient acceptance and trust in the use of digital healthcare in the context of a pandemic, this study extends a new model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with new variables on trust, in the context of the healthcare industry. The questionnaire was then released to consumers with the experience of using digital health, and the 123 data collected were analysed using variance-based partial least squares (PLS-SEM) in a Smart PLS 4.0 environment.
The results show that effort expectancy, social influence, performance expectancy, facilitating condition, and trust significantly positively impact patients' use of digital healthcare. These findings have theoretical and practical implications for research on digital healthcare and can inform the management of some stakeholders. |
| first_indexed | 2025-11-14T20:54:29Z |
| format | Dissertation (University of Nottingham only) |
| id | nottingham-70523 |
| institution | University of Nottingham Malaysia Campus |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-14T20:54:29Z |
| publishDate | 2022 |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | nottingham-705232023-07-06T12:29:14Z https://eprints.nottingham.ac.uk/70523/ Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM Xiang, Qianyu The sudden COVID-19 outbreak has raised awareness of the importance and benefits of digital health. To gain insight into patient acceptance and trust in the use of digital healthcare in the context of a pandemic, this study extends a new model based on the Unified Theory of Acceptance and Use of Technology 2 (UTAUT2), with new variables on trust, in the context of the healthcare industry. The questionnaire was then released to consumers with the experience of using digital health, and the 123 data collected were analysed using variance-based partial least squares (PLS-SEM) in a Smart PLS 4.0 environment. The results show that effort expectancy, social influence, performance expectancy, facilitating condition, and trust significantly positively impact patients' use of digital healthcare. These findings have theoretical and practical implications for research on digital healthcare and can inform the management of some stakeholders. 2022-09-08 Dissertation (University of Nottingham only) NonPeerReviewed application/pdf en https://eprints.nottingham.ac.uk/70523/1/20242464_BUSI4129_2021_22.pdf Xiang, Qianyu (2022) Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM. [Dissertation (University of Nottingham only)] |
| spellingShingle | Xiang, Qianyu Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title | Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title_full | Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title_fullStr | Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title_full_unstemmed | Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title_short | Examining patients' acceptance and trust in digital health during COVID-19 using PLS-SEM |
| title_sort | examining patients' acceptance and trust in digital health during covid-19 using pls-sem |
| url | https://eprints.nottingham.ac.uk/70523/ |