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The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability

Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by cons...

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Autores principales: Alsyouf, Adi, Lutfi, Abdalwali, Alsubahi, Nizar, Alhazmi, Fahad Nasser, Al-Mugheed, Khalid, Anshasi, Rami J., Alharbi, Nora Ibrahim, Albugami, Moteb
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859518/
https://www.ncbi.nlm.nih.gov/pubmed/36674105
http://dx.doi.org/10.3390/ijerph20021347
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author Alsyouf, Adi
Lutfi, Abdalwali
Alsubahi, Nizar
Alhazmi, Fahad Nasser
Al-Mugheed, Khalid
Anshasi, Rami J.
Alharbi, Nora Ibrahim
Albugami, Moteb
author_facet Alsyouf, Adi
Lutfi, Abdalwali
Alsubahi, Nizar
Alhazmi, Fahad Nasser
Al-Mugheed, Khalid
Anshasi, Rami J.
Alharbi, Nora Ibrahim
Albugami, Moteb
author_sort Alsyouf, Adi
collection PubMed
description Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records.
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spelling pubmed-98595182023-01-21 The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability Alsyouf, Adi Lutfi, Abdalwali Alsubahi, Nizar Alhazmi, Fahad Nasser Al-Mugheed, Khalid Anshasi, Rami J. Alharbi, Nora Ibrahim Albugami, Moteb Int J Environ Res Public Health Article Personal health records (PHR) systems are designed to ensure that individuals have access and control over their health information and to support them in being active participants rather than passive ones in their healthcare process. Yet, PHR systems have not yet been widely adopted or used by consumers despite their benefits. For these advantages to be realized, adoption of the system is necessary. In this study, we examined how self-determination of health management influences individuals’ intention to implement a PHR system, i.e., their ability to actively manage their health. Using an extended technology acceptance model (TAM), the researchers developed and empirically tested a model explaining public adoption of PHRs. In total, 389 Saudi Arabian respondents were surveyed in a quantitative cross-sectional design. The hypotheses were analysed using structural equation modelling–partial least squares (SEM-PLS4). Results indicate that PHR system usage was influenced by three major factors: perceived ease of use (PEOU), perceived usefulness (PU), and security towards intention to use. PHR PEOU and PHR intention to use were also found to be moderated by privacy, whereas usability positively moderated PHR PEOU and PHR intention to use and negatively moderated PHR PU and PHR intention to use. For the first time, this study examined the use of personal health records in Saudi Arabia, including the extension of the TAM model as well as development of a context-driven model that examines the relationship between privacy, security, usability, and the use of PHRs. Furthermore, this study fills a gap in the literature regarding the moderating effects of privacy influence on PEOU and intention to use. Further, the moderating effects of usability on the relationship between PEOU, PU, and intention to use. Study findings are expected to assist government agencies, health policymakers, and health organizations around the world, including Saudi Arabia, in understanding the adoption of personal health records. MDPI 2023-01-11 /pmc/articles/PMC9859518/ /pubmed/36674105 http://dx.doi.org/10.3390/ijerph20021347 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Alsyouf, Adi
Lutfi, Abdalwali
Alsubahi, Nizar
Alhazmi, Fahad Nasser
Al-Mugheed, Khalid
Anshasi, Rami J.
Alharbi, Nora Ibrahim
Albugami, Moteb
The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title_full The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title_fullStr The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title_full_unstemmed The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title_short The Use of a Technology Acceptance Model (TAM) to Predict Patients’ Usage of a Personal Health Record System: The Role of Security, Privacy, and Usability
title_sort use of a technology acceptance model (tam) to predict patients’ usage of a personal health record system: the role of security, privacy, and usability
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9859518/
https://www.ncbi.nlm.nih.gov/pubmed/36674105
http://dx.doi.org/10.3390/ijerph20021347
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