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Exploring healthcare professionals adoption and use of Information and Communication Technology using Q-methodology and Models of Technology Acceptance

Ladan, Muhammad Awwal; Wharrad, Heather; Windle, Richard

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Authors

Muhammad Awwal Ladan

HEATHER WHARRAD HEATHER.WHARRAD@NOTTINGHAM.AC.UK
Professor of E-Learning and Health Informatics

RICHARD WINDLE richard.windle@nottingham.ac.uk
Professor of Digital Learning



Abstract

Background: Information and communication technologies (ICTs) and more specifically e-health are viewed as important tools within healthcare. They are used to support clinical activities such as interactions between healthcare professionals and patients, clinical self-development, patient education, routine clinical activities, and also have the potential to address many challenges affecting healthcare sectors globally. However, there is still limited information on how technologies are adopted and used within clinical practice by health professionals particularly in countries in Sub Saharan Africa (SSA).
Methodology: This study used Q-methodology and models of technology acceptance (TAM and UTUAT) to explore the factors that influence ICT adoption among nurses and physicians in clinical practice in SSA. Thirty six participants from a tertiary hospital in SSA conducted Q-sorts of 46 statements relating to their interaction with technologies in their clinical practice.
Results: Four factors; the patient-driven adopters, the task-driven adopters, the pragmatists and the e-health champions emerged after Q-analysis representing the distinct views of this group of healthcare professionals.
Conclusion: The findings suggest different viewpoints to the adoption and use of e-health resources in clinical practise. These views may help understand how these health professionals make their choices when it comes to ICT in health care.

Citation

Ladan, M. A., Wharrad, H., & Windle, R. (in press). Exploring healthcare professionals adoption and use of Information and Communication Technology using Q-methodology and Models of Technology Acceptance.

Conference Name 33rd annual conference of the International Society for the Scientific Study of Subjectivity.
End Date Sep 9, 2017
Acceptance Date Jun 13, 2017
Deposit Date Jan 8, 2018
Peer Reviewed Not Peer Reviewed
Keywords Q-methodology, Technology Acceptance Model (TAM), Unified Theory of Acceptance and Use of Technology (UTUAT), Healthcare professionals, E-health
Public URL https://nottingham-repository.worktribe.com/output/865367

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