{"title":"Assessing Telemedicine Knowledge and Utilization among Residents in Benin City, Edo State during the COVID-19 Pandemic: A Descriptive Study","authors":"E. Ogboghodo, O.H. Okojie, V. Omuemu, E.E. Abdul","doi":"10.4314/jmbr.v22i2.3","DOIUrl":null,"url":null,"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. \nMethods: 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. \nResults: 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. \nConclusion: 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.","PeriodicalId":516875,"journal":{"name":"Journal of Medicine and Biomedical Research","volume":"265 ","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-02-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Medicine and Biomedical Research","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4314/jmbr.v22i2.3","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.