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Cited by 132Telemedicine and Telehealth ImplementationTechnology Adoption and User BehaviourElectronic Health Records Systems

The DOI matches its Crossref record; 110 of the 110 references it cites were found in a registry or an index.

Towards reinforcing telemedicine adoption amongst clinicians in Nigeria

Adenuga, Kayode I., Iahad, Noorminshah A., Miskon, Suraya·2017·International Journal of Medical Informatics
DOI 10.1016/j.ijmedinf.2017.05.008
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Abstract

Telemedicine systems have been considered as a necessary measure to alleviate the shortfall in skilled medical specialists in developing countries. However, the obvious challenge is whether clinicians are willing to use this technological innovation, which has aided medical practice globally. One factor which has received little academic attention is the provision of suitable encouragement for clinicians to adopt telemedicine, in the form of rewards, motivation or incentives. A further consideration for telemedicine usage in developing countries, especially sub-Saharan Africa and Nigeria in particular, are to the severe shortage of available practising clinicians. The researchers therefore explore the need to positively reinforce the adoption of telemedicine amongst clinicians in Nigeria, and also offer a rationale for this using the UTAUT model. Data were collected using a structured paper-based questionnaire, with 252 physicians and nurses from six government hospitals in Ondo state, Nigeria. The study applied SmartPLS 2.0 for analysis to determine the relationship between six variables. Demographic moderating variables, age, gender and profession, were included. The results indicate that performance expectancy (p<0.05), effort expectancy (p<0.05), facilitating condition (p<0.01) and reinforcement factor (p<0.001) have significant effects on clinicians' behavioural intention to use telemedicine systems, as predicted using the extended UTAUT model. Our results showed that the use of telemedicine by clinicians in the Nigerian context is perceived as a dual responsibility which requires suitable reinforcement. In addition, performance expectancy, effort expectancy, facilitating condition and reinforcement determinants are influential factors in the use of telemedicine services for remote-patient clinical diagnosis and management by the Nigerian clinicians.

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Research works printed but not linked: 3

  1. Holden, 2010, The technology acceptance model: its past and its future in health care?, J. Biomed. Inform., 43, 159, 10.1016/j.jbi.2009.07.002 · DOI · Paper page
  2. Reginatto, 2012, Understanding barriers to wider telehealth adoption in the home environment of older people: an exploratory study in the irish context, Int. J. Adv. Life Sci., 4
  3. Sa’id, 2013, Impact of information and communication technology on healthcare in health centers in the west bank-Palestine, faculty of graduate studies, An-Najah National University

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Metadata

Authors
Adenuga, K. I., Iahad, N. A., & Miskon, S.
Affiliations
University of Technology Malaysia (MY)
Corresponding author
Adenuga, Kayode I.
ORCID
Venue
International Journal of Medical Informatics
Publisher
Elsevier BV
Published
2017-08
Volume
104
Pages
84-96
ISSN
1386-5056 (ISSN-L)
DOI
10.1016/j.ijmedinf.2017.05.008
OpenAlex
W2616820489
Cited by
120
References
110
Citations by year
2026: 8 · 2025: 16 · 2024: 15 · 2023: 17 · 2022: 17 · 2021: 23 · 2020: 15 · 2019: 7 · 2018: 1 · 2017: 1
FWCI
6.15
Type
journal article
Language
en
Open access
closed
Licence
www.elsevier.com/tdm/userlicense/1.0/ (tdm)
Locations
  • International Journal of Medical Informatics (publishedVersion)
  • PubMed (publishedVersion)
Funders
Ministry of Higher Education Malaysia university research grant and University Teknologi Malaysia
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Telemedicine and Telehealth Implementation
  • Social Sciences › Decision Sciences › Information Systems and Management › Technology Adoption and User Behaviour
  • Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
Keywords
telehealth adoption, clinicians, UTAUT, reinforcement, performance expectancy, effort expectancy, facilitating conditions, behavioral intention, clinician shortage, Nigeria
MeSH terms
Adolescent, Adult, Attitude of Health Personnel, Attitude to Computers, Confidentiality, Developing Countries, Female, Humans, Male, Models, Theoretical, Nigeria, Physicians, Surveys and Questionnaires, Telemedicine, Intention, Young Adult

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