Towards reinforcing telemedicine adoption amongst clinicians in Nigeria

Adenuga, Kayode I.; Iahad, Noorminshah A.; Miskon, Suraya

doi:10.1016/j.ijmedinf.2017.05.008

Cited by 84 publications

(90 citation statements)

References 79 publications

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“…Chau and Hu [7] examined physicians' acceptance of telemedicine technology and suggest that the technology acceptance model (TAM) may be more appropriate than the theory of planned behavior (TPB) model for examining technology acceptance by individual professionals. As an extension of TAM, the UTAUT (Unified Theory of Acceptance and Use of Technology) model, which overcomes the limitations of the early TAM models, was adopted to explore the adoption and usage of telemedicine among clinicians in Nigeria [8]. Furthermore, existing literature also focuses on acceptance and the influencing factors of other entities, e.g., hospitals [9], technology suppliers, and service providers [10], whose research shows that the most frequently reported patient barriers to telehealth acceptance are technical issues.…”

Section: Literature Reviewsmentioning

confidence: 99%

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Zhang

Liu

et al. 2020

IJERPH

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Telemedicine is an innovative approach that helps alleviate the health disparity in developing countries and improve health service accessibility, affordability, and quality. Few studies have focused on the social and organizational issues involved in telemedicine, despite in-depth studies of and significant improvements in these technologies. This paper used evolutionary game theory to analyze behavioral strategies and their dynamic evolution in the implementation and operation of telemedicine. Further, numerical simulation was carried out to develop management strategies for promoting telemedicine as a new way of delivering health services. The results showed that: (1) When the benefits are greater than the costs, the higher medical institutions (HMIs), primary medical institutions (PMIs), and patients positively promote telemedicine with benign interactions; (2) when the costs are greater than the benefits, the stability strategy of HMIs, PMIs, and patients is, respectively, ‘no efforts’, ‘no efforts’, and ‘non-acceptance’; and (3) promotion of telemedicine is influenced by the initial probability of the ‘HMI efforts’, ‘PMI efforts’, and ‘patients’ acceptance’ strategy chosen by the three stakeholders, telemedicine costs, and the reimbursement ratio of such costs. Based on theoretical analysis, in order to verify the theoretical model, this paper introduces the case study of a telemedicine system integrated with health resources at provincial, municipal, county, and township level in Guizhou. The findings of the case study were consistent with the theoretical analysis. Therefore, the central Chinese government and local governments should pay attention to the running cost of MIs and provide financial support when the costs are greater than the benefits. At the same time, the government should raise awareness of telemedicine and increase participation by all three stakeholders. Lastly, in order to promote telemedicine effectively, it is recommended that telemedicine services are incorporated within the scope of medical insurance and the optimal reimbursement ratio is used.

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Section: Literature Reviewsmentioning

confidence: 99%

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Zhang

Liu

et al. 2020

IJERPH

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“…Researchers found performance expectancy, effort expectancy, facilitating condition and reinforcement factor having a significant impact on behavioral intention to use telemedicine by clinician in Nigeria [10]. On the other hand, perceived usefulness, and computer self-efficacy was shown to have a positive and significant impact on Telemedicine acceptance by public hospitals in Malaysia [11].…”

Section: Introductionmentioning

confidence: 99%

Influence of Factors on the Adoption and <i>Use</i> of ICT-Based eHealth Technology by Urban Corporate People

Sampa¹,

Hossain²,

Hoque³

et al. 2020

JSSM

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The aim of this study is to investigate the influence of the factors that affect the use of a PHC system (portable health clinic, an eHealth technology) by urban corporate people in Bangladesh. This study uses the first and second versions of the technology acceptance model and the unified theory of acceptance and use of technology model as the foundation. Additionally, health awareness factors are incorporated to develop the research model. Structural equation modeling was used to analyze a sample size of 264 urban corporate people in Bangladesh. Based on the total effects, the key to promoting the future use of a PHC system lies in the three most important factors: perceived usefulness (0.659), intention to use (0.454), and health awareness (0.447). These factors have a positive and direct influence on use. The findings offer proactively important and practical guidelines to service providers, implementers, and policymakers to promote the use of eHealth technology for regular health checkups.

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“…Out of 253 records, 17 studies were ltered out and passed the eligibility test. Frequency analysis and clustering of acceptance factors for studies in the review Fifty-eight different construct relationships could be identi ed in these 17 studies [34,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54] Only those constructs that were supported more than twice in a construct relationship were picked out. Clearly, the review shows that the core constructs from the original models, like behavioral intention (BI), impacted by attitude (ATT), and in uenced by perceived ease of use (PEOU) and perceived usefulness (PU), were also identi ed in these studies as essential variables.…”

Section: Study Exclusion Criteria For the Literature Reviewmentioning

confidence: 99%

“…Financing Degree of monetary motivation and attitude to the responsibility of nancing of TSS in the healthcare systems for patients [38,39,42].…”

Section: Idea Collectionmentioning

confidence: 99%

Design and validation of a questionnaire to measure the acceptance of telemedicine by healthcare professionals in Germany

Verfürth

2020

Preprint

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Background: Telemedicine allows healthcare professionals to manage patient treatments remotely and to benefit from the interaction of telemedicine centers. Even though telemedicine responds to the current burdens in healthcare systems, these complex infrastructures depend on technology, financing, organization, policy, legislation, and, not least, on their corresponding acceptance by the user. Little is known in this context about the drivers for this acceptance by healthcare professionals giving treatment. Germany, with the highest healthcare spending in the world, is particularly lagging here.Methods: A literature review was conducted to identify the acceptance factors that had already been detected and frequently confirmed. These factors were evaluated according to the coverage of the interactive infrastructures with telemedicine centers and how accurately they fitted Germany. The identified factors were adapted, and missing factors were designed, via an idea collection for items. The reliability of the developed constructs was tested using a field test to check the constructs using item revision analysis.Results: Frequently supported external variables, taken from 17 filtered studies covering the technical, organizational, social, legal, and individual context, were identified. However, the review showed that there was less focus on the German setting and the interactive aspect, so the market-related variables were adapted and new constructs of “trust in the telemedicine center” and “relationship to patient” were added. Ten variables were proven to have a reliability, measured with Cronbach’s Alpha, of more than 0.7.Conclusion: This paper enhances the already existing technology acceptance studies in healthcare by covering German specifications and the interactive character of TSSs. A corresponding questionnaire has been developed ready for future research.

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Towards reinforcing telemedicine adoption amongst clinicians in Nigeria

Cited by 84 publications

References 79 publications

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Influence of Factors on the Adoption and <i>Use</i> of ICT-Based eHealth Technology by Urban Corporate People

Design and validation of a questionnaire to measure the acceptance of telemedicine by healthcare professionals in Germany

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Towards reinforcing telemedicine adoption amongst clinicians in Nigeria

Cited by 84 publications

References 79 publications

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Tripartite Data Analysis for Optimizing Telemedicine Operations: Evidence from Guizhou Province in China

Influence of Factors on the Adoption and &lt;i&gt;Use&lt;/i&gt; of ICT-Based eHealth Technology by Urban Corporate People

Design and validation of a questionnaire to measure the acceptance of telemedicine by healthcare professionals in Germany

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Influence of Factors on the Adoption and <i>Use</i> of ICT-Based eHealth Technology by Urban Corporate People