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Assessing Telemedicine Knowledge and Utilization among Residents in Benin City, Edo State during the COVID-19 Pandemic: A Descriptive Study

Ogboghodo EO1, 2*, Okojie OH1, 2, Omuemu VO1, 2, Abdul EE2
1Department of Public Health and Community Medicine, University of Benin Teaching Hospital, Benin City, PMB 1111, Edo State. 2Department of Public Health and Community Medicine, University of Benin, Benin City, PMB 1154, Edo State.
Corresponding Author: esohe.ogboghodo@uniben.edu
Recieved Date: 2023; Accepted Date: 2023; Published Date: 2023
Citation: Journal of Medicine and Biomedical Research. 22 (2) 7 - 16 https://dx.doi.org/10.4314/jmbr.v22i2.3
Copyright: Assessing Telemedicine Knowledge and Utilization among Residents in Benin City, Edo State during the COVID-19 Pandemic: A Descriptive Study
ABSTRACT

Background: The COVID-19 pandemic has accelerated the adoption of telemedicine, addressing healthcare service gaps. This study aimed to evaluate the knowledge and utilization of telemedicine among residents in Benin City, Edo State, Nigeria. Methods: A descriptive cross-sectional survey was conducted among adult residents of Benin City. A multi-staged sampling technique comprising four stages was employed to select respondents, and data were collected through a pre-tested self-administered questionnaire. Statistical analysis was carried out using IBM SPSS vs 25.0. Significance was established at p < 0.05, and results were presented as prose and frequency tables. Results: The study included 413 participants with a mean age (SD) of 26.9 ± 7.1 years. The majority, 279 (67.6%), were students, and 289 (70.0%) had tertiary education. Good knowledge of telemedicine was demonstrated by 192 (61.5%) of the respondents but 122 (39.1%) had used telemedicine services. Fifty-seven (46.7%) of those who used telemedicine favoured phone calls as the primary medium, citing its accessibility. Notably, 106 (86.9%) reported using telemedicine to reduce hospital waiting times, and 105 (86.1%) appreciated its ready availability. Barriers to telemedicine use included network challenges during consultations (42.6%) and inconsistent power supply (36.3%). Age (p = 0.045), sex (p = 0.038) and higher education (p = 0.009) were significantly associated with better telemedicine knowledge. Conclusion: The study revealed that while a significant proportion of residents in Benin City possessed good knowledge of telemedicine, its utilization remains low. Addressing infrastructure limitations and extending educational efforts will be pivotal in bridging the knowledge-utilization gap in telemedicine.

Keywords: Coronavirus Pandemic; Knowledge; Utilization; Telemedicine; Benin City
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