Literature DB >> 26411928

An Empirical Assessment of a Technology Acceptance Model for Apps in Medical Education.

Laura Briz-Ponce1, Francisco José García-Peñalvo2.   

Abstract

The evolution and the growth of mobile applications ("apps") in our society is a reality. This general trend is still upward and the app use has also penetrated the medical education community. However, there is a lot of unawareness of the students' and professionals' point of view about introducing "apps" within Medical School curriculum. The aim of this research is to design, implement and verify that the Technology Acceptance Model (TAM) can be employed to measure and explain the acceptance of mobile technology and "apps" within Medical Education. The methodology was based on a survey distributed to students and medical professionals from University of Salamanca. This model explains 46.7% of behavioral intention to use mobile devise or "apps" for learning and will help us to justify and understand the current situation of introducing "apps" into the Medical School curriculum.

Entities:  

Keywords:  Health; Medical education; Mobile application; Mobile devices; Mobile learning; TAM

Mesh:

Year:  2015        PMID: 26411928     DOI: 10.1007/s10916-015-0352-x

Source DB:  PubMed          Journal:  J Med Syst        ISSN: 0148-5598            Impact factor:   4.460


  4 in total

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Journal:  Int J Med Inform       Date:  2012-03-06       Impact factor: 4.046

2.  An empirical evaluation of alternative methods of estimation for confirmatory factor analysis with ordinal data.

Authors:  David B Flora; Patrick J Curran
Journal:  Psychol Methods       Date:  2004-12

3.  Electronic health record acceptance by physicians: testing an integrated theoretical model.

Authors:  Marie-Pierre Gagnon; El Kebir Ghandour; Pascaline Kengne Talla; David Simonyan; Gaston Godin; Michel Labrecque; Mathieu Ouimet; Michel Rousseau
Journal:  J Biomed Inform       Date:  2013-10-31       Impact factor: 6.317

4.  Making sense of Cronbach's alpha.

Authors:  Mohsen Tavakol; Reg Dennick
Journal:  Int J Med Educ       Date:  2011-06-27
  4 in total
  16 in total

1.  A Systematic Review of the Technology Acceptance Model in Health Informatics.

Authors:  Bahlol Rahimi; Hamed Nadri; Hadi Lotfnezhad Afshar; Toomas Timpka
Journal:  Appl Clin Inform       Date:  2018-08-15       Impact factor: 2.342

2.  Effects of Mobile Learning in Medical Education: A Counterfactual Evaluation.

Authors:  Laura Briz-Ponce; Juan Antonio Juanes-Méndez; Francisco José García-Peñalvo; Anabela Pereira
Journal:  J Med Syst       Date:  2016-04-20       Impact factor: 4.460

3.  COVID-19 Contact-Tracing Technology: Acceptability and Ethical Issues of Use.

Authors:  Sawsan Abuhammad; Omar F Khabour; Karem H Alzoubi
Journal:  Patient Prefer Adherence       Date:  2020-09-18       Impact factor: 2.711

4.  The Applicability of the Modified Technology Acceptance Model (TAM) on the Sustainable Adoption of eHealth Systems in Resource-Limited Settings.

Authors:  Mulugeta Hayelom Kalayou; Berhanu Fikadie Endehabtu; Binyam Tilahun
Journal:  J Multidiscip Healthc       Date:  2020-12-03

5.  Factors Affecting Medical Students' Continuance Intention to Use Mobile Health Applications.

Authors:  Qian Xu; Xiaorong Hou; Tingchao Xiao; Wenlong Zhao
Journal:  J Multidiscip Healthc       Date:  2022-03-08

6.  Usability factors predicting continuance of intention to use cloud e-learning application.

Authors:  Lillian-Yee-Kiaw Wang; Sook-Ling Lew; Siong-Hoe Lau; Meng-Chew Leow
Journal:  Heliyon       Date:  2019-06-07

7.  Impact of Using a 3D Visual Metaphor Serious Game to Teach History-Taking Content to Medical Students: Longitudinal Mixed Methods Pilot Study.

Authors:  Hussain Alyami; Mohammed Alawami; Mataroria Lyndon; Mohsen Alyami; Christin Coomarasamy; Marcus Henning; Andrew Hill; Frederick Sundram
Journal:  JMIR Serious Games       Date:  2019-09-26       Impact factor: 4.143

8.  Exploring the technological acceptance of a mobile learning tool used in the teaching of an indigenous language.

Authors:  Santiago Criollo-C; Mayron Lema; Mario Salvador Gonzalez; Angel Jaramillo-Alcázar; Andrea Guerrero-Arias; Sergio Luján-Mora
Journal:  PeerJ Comput Sci       Date:  2021-06-03

9.  Mobile Health Apps to Facilitate Self-Care: A Qualitative Study of User Experiences.

Authors:  Kevin Anderson; Oksana Burford; Lynne Emmerton
Journal:  PLoS One       Date:  2016-05-23       Impact factor: 3.240

Review 10.  Patients' experiences of eHealth in palliative care: an integrative review.

Authors:  Cecilia Widberg; Birgitta Wiklund; Anna Klarare
Journal:  BMC Palliat Care       Date:  2020-10-14       Impact factor: 3.234

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