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      Knowledge of telemedicine and its associated factors among health professional in Ethiopia: A systematic review and meta-analysis

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          Abstract

          Introduction

          Telemedicine is a useful tool for decreasing hospital stress, patient suffering, ambulance needs, hospital anxiety, and costs while improving the standard of care. Nonetheless, the lack of awareness regarding telemedicine poses a barrier to its application, presenting several difficulties in underdeveloped nations like Ethiopia. This review evaluates Ethiopian-specific telemedicine knowledge and associated factors.

          Methods

          This systematic review was conducted using a search of several online databases in addition to the main databases, like Medline, PubMed, Scopus, and Science Direct. The writers have looked for, reviewed, and summarized information about telemedicine knowledge in the healthcare system. This study contained seven studies that examined telemedicine knowledge in the Ethiopian healthcare sector. Studies that followed the Preferred Reporting Items for Systematic Review and Meta-Analysis Protocols (PRISMA) were found using search engines. The investigation was carried out using STATA version 11. The indicator of heterogeneity (I 2) was used to assess the level of heterogeneity among the included studies. The funnel plot was visually inspected, and Egger’s regression test was run to check for publication bias. The pooled effect size of every study is estimated using a random-effect model meta-analysis.

          Results

          Examination of 2160 studies, seven studies involving 2775 health professionals, and seven out of the 2160 publications assessed satisfied the inclusion criteria and were added to the systematic review and meta-analysis. The pooled prevalence of Telemedicine knowledge was 45.20 (95% CI: 34.87–55.53). Whereas the pooled factor was computer training was 2.24 times (AOR = 2.24 (95%; CI: 1.64–3.08)), computer access was 2.07 times (AOR = 2.07 (95% CI: 1.50–2.87)), internet access was 3.09 times (AOR = 3.09 (95% CI: 1.34–7.13)), social media access were 3.09 times (AOR = 3.09(95%; CI: 1.34–7.13)), educational status degree and above were 2.73 times (AOR = 2.73; 95% CI: 0.85–8.82), Awareness were 3.18 times (AOR = 3.18 (95%; CI: 1.02–9.91)), Management support was 1.85 (AOR = 1.85 (95% CI: 01.25–2.75)), computer literacy were 2.90 times (AOR = 2.90 (95% CI: 1.81–4.64)), computer owner were 1.70 times (AOR = 1.70 (95% CI: 1.05–2.76)), male gender were 1.95 times (AOR = 1.95 (95% CI: 1.32–2.87)).

          Conclusion

          The overall pooled prevalence of telemedicine knowledge was low. Gender, education, management support, computer access, social media access, internet access, telemedicine awareness, and telemedicine training associated with telemedicine knowledge.

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          Most cited references25

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          REVISITING HEALTH INFORMATION TECHNOLOGY ETHICAL, LEGAL, and SOCIAL ISSUES and EVALUATION: TELEHEALTH/TELEMEDICINE and COVID-19

          Highlights • Quality of care, access, consent, and privacy have been the primary telemedicine ELSI concerns. • The pandemic illuminated additional issues and informatics needs. • All these issues also apply to health information technologies in general. • The scope of issues needs expanding; clinicians and organizations need updated ELSI guidelines. • Evaluation that includes ELSI is necessary for decisions about health information technology.
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            Assessment of physician’s knowledge, perception and willingness of telemedicine in Riyadh region, Saudi Arabia

            Telemedicine is the utilization of computer applications and telecommunication technologies to deliver clinical services remotely. The Ministry of Health in Saudi Arabia, recently established an e-Health strategy that includes the use of telemedicine in order to improve the accessibility and quality of care among patients and healthcare providers.
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              Knowledge and Attitude of Health Professionals toward Telemedicine in Resource-Limited Settings: A Cross-Sectional Study in North West Ethiopia

              Background In resource-limited environments, such as those categorized as underdeveloped countries, telemedicine becomes viewed as effective channel for utilizing the scarce medical resources and infrastructures. The aim of this study was to assess knowledge and attitude toward telemedicine among cross section of health professionals' working in three hospitals in North West Ethiopia. Methods An institution-based cross-sectional study was conducted among 312 health professionals working in three different hospitals of North Gondar Administrative Zone during November 13 to December 10, 2017. Data were collected using structured self-administered questionnaires. Data entry and analysis were done using SPSS version 20. The mean, percentage, and standard deviation were calculated to describe the characteristics of respondents. The chi-square test was used as appropriate, to evaluate the statistical significance of the differences between the responses of the participants. A P value of 5 years of work experience. 191 (64.0%) respondents had good attitude toward telemedicine. Conclusion The findings of the study suggest that although the respondents' knowledge of telemedicine is limited, most of them have good attitude toward telemedicine. This study underlined the need of giving training on telemedicine in order to fill the knowledge gap.
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                Author and article information

                Contributors
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: Project administrationRole: ResourcesRole: SoftwareRole: SupervisionRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: ResourcesRole: ValidationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: Validation
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draft
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: ResourcesRole: SoftwareRole: SupervisionRole: Validation
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: SoftwareRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Formal analysisRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: Funding acquisitionRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Data curationRole: InvestigationRole: MethodologyRole: ValidationRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS One
                PLoS One
                plos
                PLOS ONE
                Public Library of Science (San Francisco, CA USA )
                1932-6203
                18 April 2024
                2024
                : 19
                : 4
                : e0301044
                Affiliations
                [1 ] Department of Health Informatics, College of Health Science, Mattu University, Mettu, Ethiopia
                [2 ] Department of Midwifery, College of Health Science, Mattu University, Mettu, Ethiopia
                [3 ] Department of Health Informatics, Institute of Public Health, College of Medicine and Health Sciences, Dilla University, Dilla, Ethiopia
                [4 ] Department of Biomedical Sciences, College of Health Sciences, Mattu University, Mettu, Ethiopia
                [5 ] Department of Health Informatics, Institute of Health, Bule Hora, Bule Hora, Ethiopia
                Zahedan University of Medical Sciences, ISLAMIC REPUBLIC OF IRAN
                Author notes

                Competing Interests: The authors have declared that no competing interests exist.

                Author information
                https://orcid.org/0000-0002-8881-5735
                Article
                PONE-D-23-43594
                10.1371/journal.pone.0301044
                11025815
                38635662
                f89b9a9b-7793-482d-93dd-b4d40ff900f1
                © 2024 Shibabaw et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 January 2024
                : 10 March 2024
                Page count
                Figures: 0, Tables: 0, Pages: 11
                Funding
                The author(s) received no specific funding for this work.
                Categories
                Research Article
                Medicine and Health Sciences
                Health Care
                Medical Services
                Telemedicine
                Research and Analysis Methods
                Mathematical and Statistical Techniques
                Statistical Methods
                Metaanalysis
                Physical Sciences
                Mathematics
                Statistics
                Statistical Methods
                Metaanalysis
                Research and Analysis Methods
                Research Assessment
                Systematic Reviews
                Research and Analysis Methods
                Database and Informatics Methods
                Database Searching
                Computer and Information Sciences
                Computer Networks
                Internet
                People and Places
                Geographical Locations
                Africa
                Ethiopia
                Social Sciences
                Sociology
                Communications
                Social Communication
                Social Media
                Computer and Information Sciences
                Network Analysis
                Social Networks
                Social Media
                Social Sciences
                Sociology
                Social Networks
                Social Media
                Engineering and Technology
                Telecommunications
                Custom metadata
                All data generated or analyzed is in the manuscript and uploaded as supplementary information.

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