Acceptance of mobile health in medical sciences students: Applying technology acceptance model

Introduction: Mobile health (mHealth) is a crucial technology that plays a pivotal role in improving the quality of healthcare services. This study aimed to identify the effective factors in the acceptance of mHealth among medical sciences students in Iran, according to Technology Acceptance Model (...

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Main Authors: Mahnaz Samadbeik, Nasim Aslani, Masoumeh Maleki, Ali Garavand
Format: Article
Language:English
Published: Elsevier 2023-01-01
Series:Informatics in Medicine Unlocked
Subjects:
Online Access:http://www.sciencedirect.com/science/article/pii/S2352914823001363
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author Mahnaz Samadbeik
Nasim Aslani
Masoumeh Maleki
Ali Garavand
author_facet Mahnaz Samadbeik
Nasim Aslani
Masoumeh Maleki
Ali Garavand
author_sort Mahnaz Samadbeik
collection DOAJ
description Introduction: Mobile health (mHealth) is a crucial technology that plays a pivotal role in improving the quality of healthcare services. This study aimed to identify the effective factors in the acceptance of mHealth among medical sciences students in Iran, according to Technology Acceptance Model (TAM). Methods: A cross-sectional study was conducted in 2019, involving students from a medical sciences university in Iran. Participants were selected through simple random sampling, and a total of 300 completed questionnaires were collected. The data were gathered using the standard questionnaire of the TAM. Data analysis was performed using statistical tests such as independent sample t-test, ANOVA analytical tests, correlation, and regression in SPSSv26 software. Results: The results show that there was no significant relationship between sex and latent variables (p > 0.05). However, a significant relationship was observed between perceived ease of use (PEU) (p = 0.001) and perceived usefulness (PU) (p < 0.001) with attitude to use (AU), as well as between AU and behavioral intention (BI) (p < 0.001). Conclusion: It is suggested that policymakers consider the PEU and PU of mHealth when designing and implementing it formally for students and healthcare providers as the main mHealth stakeholders.
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spelling doaj.art-b051af8c8bca457ab49ff7b97ecb636a2023-07-07T04:27:24ZengElsevierInformatics in Medicine Unlocked2352-91482023-01-0140101290Acceptance of mobile health in medical sciences students: Applying technology acceptance modelMahnaz Samadbeik0Nasim Aslani1Masoumeh Maleki2Ali Garavand3Social Determinants of Health Research Center, Department of Health Information Technology, Lorestan University of Medical Sciences, Khorramabad, IranSocial Determinants of Health Research Center, Department of Health Information Technology, Lorestan University of Medical Sciences, Khorramabad, IranDepartment of Health Information Technology, School of Allied Medical Sciences, Tehran University of Medical Sciences, Tehran, IranSocial Determinants of Health Research Center, Department of Health Information Technology, Lorestan University of Medical Sciences, Khorramabad, Iran; Corresponding author. Department of Health Information Technology, School of Allied Medical Sciences, Lorestan University of Medical Sciences, Khorramabad, Iran.Introduction: Mobile health (mHealth) is a crucial technology that plays a pivotal role in improving the quality of healthcare services. This study aimed to identify the effective factors in the acceptance of mHealth among medical sciences students in Iran, according to Technology Acceptance Model (TAM). Methods: A cross-sectional study was conducted in 2019, involving students from a medical sciences university in Iran. Participants were selected through simple random sampling, and a total of 300 completed questionnaires were collected. The data were gathered using the standard questionnaire of the TAM. Data analysis was performed using statistical tests such as independent sample t-test, ANOVA analytical tests, correlation, and regression in SPSSv26 software. Results: The results show that there was no significant relationship between sex and latent variables (p > 0.05). However, a significant relationship was observed between perceived ease of use (PEU) (p = 0.001) and perceived usefulness (PU) (p < 0.001) with attitude to use (AU), as well as between AU and behavioral intention (BI) (p < 0.001). Conclusion: It is suggested that policymakers consider the PEU and PU of mHealth when designing and implementing it formally for students and healthcare providers as the main mHealth stakeholders.http://www.sciencedirect.com/science/article/pii/S2352914823001363mHealthPerceived ease of usePerceived usefulnessTechnology acceptance model
spellingShingle Mahnaz Samadbeik
Nasim Aslani
Masoumeh Maleki
Ali Garavand
Acceptance of mobile health in medical sciences students: Applying technology acceptance model
Informatics in Medicine Unlocked
mHealth
Perceived ease of use
Perceived usefulness
Technology acceptance model
title Acceptance of mobile health in medical sciences students: Applying technology acceptance model
title_full Acceptance of mobile health in medical sciences students: Applying technology acceptance model
title_fullStr Acceptance of mobile health in medical sciences students: Applying technology acceptance model
title_full_unstemmed Acceptance of mobile health in medical sciences students: Applying technology acceptance model
title_short Acceptance of mobile health in medical sciences students: Applying technology acceptance model
title_sort acceptance of mobile health in medical sciences students applying technology acceptance model
topic mHealth
Perceived ease of use
Perceived usefulness
Technology acceptance model
url http://www.sciencedirect.com/science/article/pii/S2352914823001363
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AT masoumehmaleki acceptanceofmobilehealthinmedicalsciencesstudentsapplyingtechnologyacceptancemodel
AT aligaravand acceptanceofmobilehealthinmedicalsciencesstudentsapplyingtechnologyacceptancemodel