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01 · ABSTRACT

Abstract

This study explores the key factors that influence the adoption of telemedicine among Nigerian clinicians. It introduces the Clinicians’ Telemedicine Adoption Model (CTAM), an extension of the Unified Theory of Acceptance and Use of Technology (UTAUT), developed through a cross-sectional survey of 302 clinicians across eight government hospitals in Ondo State, Nigeria. Using SmartPLS 2.0 for structural equation modelling, the study examined relationships among Clinicians’ Telemedicine Adoption Model (CTAM) variables and analysed demographic factors including age, gender, and profession as potential moderators. The findings show that Clinicians’ Telemedicine Adoption Model (CTAM) accounts for 45% of the variance in clinicians’ behavioural intention to use telemedicine systems. Specifically, Performance Expectancy, Effort Expectancy, Facilitating Conditions, Social Influence, and Reinforcement Factors significantly influenced clinicians' intention to adopt telemedicine, consistent with the extended Unified Theory of Acceptance and Use of Technology (UTAUT) model. Furthermore, Human Factors were significantly moderated by younger clinicians, while the medical doctor profession significantly moderated the influence of Organisational Factors. Reinforcement Factors were also significantly moderated by age, gender, and profession. By understanding these determinants, hospital management boards and the Federal Ministry of Health can be better equipped to support the successful implementation of Nigeria’s national health ICT strategic framework, paving the way for more effective, technology-enhanced healthcare delivery in the near future.

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02 · PUBLICATION RECORD

Article details

JournalMedical Research Archives
IssueVol 13 No 8 (2025): Vol.13, Issue 8, August 2025
SectionResearch Articles
Published29 August 2025
DOI10.18103/mra.v13i8.6784
ISSN2375-1924
03 · RIGHTS & REUSE

Rights & reuse

The Medical Research Archives grants authors the right to publish and reproduce the unrevised contribution in whole or in part at any time and in any form for any scholarly non-commercial purpose with the condition that all publications of the contribution include a full citation to the journal as published by the Medical Research Archives.

 

Authors & affiliations

KA

Kayode I. Adenuga

University of Law Business School, Birmingham, United Kingdom

NI

Noorminshah A. Iahad

Department of Applied Computing and Artificial Intelligence; Faculty of Computing, Universiti Teknologi Malaysia; UTM, Johor, Malaysia

SM

Suraya Miskon

Department of Information Systems Faculty of Management, Universiti Teknologi Malaysia; UTM, Johor, Malaysia

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