Literature DB >> 31411153

Technology Acceptance Models in Health Informatics: TAM and UTAUT.

Elske Ammenwerth1.   

Abstract

Both the Technology Acceptance Model (TAM) and the Unified Theory of Acceptance and Use of Technology (UTAUT) aim at understanding better why users accept or reject a given technology, and how user acceptance can be improved through technology design. Two case studies are presented where TAM and UTAUT were successfully used in a health care setting to predict technology adoption. Both models have found popularity in health care. However, recent reviews show that TAM and UTAUT failed to provide stable predictive capabilities for acceptance and use of technologies in health care. Reasons for this may be the specific context of health care, where not only the technology, but also socio-organizational and cultural factors influence technology acceptance.

Keywords:  Assessment; Attitude to computers; Health informatics; Intention; Models; technology; theoretical

Mesh:

Year:  2019        PMID: 31411153     DOI: 10.3233/SHTI190111

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  30 in total

1.  Comparing the Use of DynaMed and UpToDate by Physician Trainees in Clinical Decision-Making: A Randomized Crossover Trial.

Authors:  Sally L Baxter; Lina Lander; Brian Clay; John Bell; Kristen Hansen; Amanda Walker; Ming Tai-Seale
Journal:  Appl Clin Inform       Date:  2022-02-02       Impact factor: 2.342

Review 2.  Sociotechnical Factors Affecting Patients' Adoption of Mobile Health Tools: Systematic Literature Review and Narrative Synthesis.

Authors:  Christine Jacob; Emre Sezgin; Antonio Sanchez-Vazquez; Chris Ivory
Journal:  JMIR Mhealth Uhealth       Date:  2022-05-05       Impact factor: 4.947

3.  Understanding Clinicians' Adoption of Mobile Health Tools: A Qualitative Review of the Most Used Frameworks.

Authors:  Christine Jacob; Antonio Sanchez-Vazquez; Chris Ivory
Journal:  JMIR Mhealth Uhealth       Date:  2020-07-06       Impact factor: 4.773

4.  Telemedicine for Remote Surgical Guidance in Endoscopic Retrograde Cholangiopancreatography: Mixed Methods Study of Practitioner Attitudes.

Authors:  Hedvig Aminoff; Sebastiaan Meijer; Urban Arnelo; Susanne Frennert
Journal:  JMIR Form Res       Date:  2021-01-11

5.  Determinants of the behavioral intention to use a mobile nursing application by nurses in China.

Authors:  Minghao Pan; Wei Gao
Journal:  BMC Health Serv Res       Date:  2021-03-12       Impact factor: 2.655

Review 6.  The most used questionnaires for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health.

Authors:  Sadrieh Hajesmaeel-Gohari; Firoozeh Khordastan; Farhad Fatehi; Hamidreza Samzadeh; Kambiz Bahaadinbeigy
Journal:  BMC Med Inform Decis Mak       Date:  2022-01-27       Impact factor: 2.796

7.  Multi-factorial barriers and facilitators to high adherence to lung-protective ventilation using a computerized protocol: a mixed methods study.

Authors:  Andrew J Knighton; Jacob Kean; Doug Wolfe; Lauren Allen; Jason Jacobs; Lori Carpenter; Carrie Winberg; Jay G Berry; Ithan D Peltan; Colin K Grissom; Raj Srivastava
Journal:  Implement Sci Commun       Date:  2020-07-28

8.  Leaders' perspectives on learning health systems: a qualitative study.

Authors:  Joanne Enticott; Sandra Braaf; Alison Johnson; Angela Jones; Helena J Teede
Journal:  BMC Health Serv Res       Date:  2020-11-26       Impact factor: 2.655

9.  Technology-Assisted Self-Monitoring of Lifestyle Behaviors and Health Indicators in Diabetes: Qualitative Study.

Authors:  Yan Du; Brittany Dennis; Shanae Lakel Rhodes; Michelle Sia; Jisook Ko; Rozmin Jiwani; Jing Wang
Journal:  JMIR Diabetes       Date:  2020-08-28

10.  [Fit for the Future: Development of a seminar on aspects of digitization of healthcare as a contribution of Medical Sociology].

Authors:  Alexander Waschkau; Katja Götz; Jost Steinhäuser
Journal:  Z Evid Fortbild Qual Gesundhwes       Date:  2020-08-11
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.