评估埃多州贝宁市居民在 COVID-19 大流行期间的远程医疗知识和使用情况:描述性研究

E. Ogboghodo, O.H. Okojie, V. Omuemu, E.E. Abdul
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摘要

背景:COVID-19 大流行加速了远程医疗的采用,从而弥补了医疗服务的不足。本研究旨在评估尼日利亚埃多州贝宁市居民对远程医疗的了解和使用情况。研究方法对贝宁市的成年居民进行了描述性横断面调查。调查采用了多阶段抽样技术(包括四个阶段)来选择受访者,并通过预先测试的自填式问卷收集数据。统计分析使用 IBM SPSS vs 25.0 进行。显著性以 p < 0.05 为标准,结果以散点图和频数表的形式呈现。研究结果研究共纳入 413 名参与者,平均年龄(标清)为 26.9 ± 7.1 岁。其中 279 人(67.6%)为学生,289 人(70.0%)受过高等教育。192名受访者(61.5%)对远程医疗有一定了解,但122名受访者(39.1%)曾使用过远程医疗服务。在使用过远程医疗的受访者中,57 人(46.7%)认为电话是最主要的媒介,理由是其便捷性。值得注意的是,106 人(86.9%)称使用远程医疗减少了医院候诊时间,105 人(86.1%)赞赏其随时可用性。使用远程医疗的障碍包括会诊期间的网络挑战(42.6%)和供电不稳定(36.3%)。年龄(p = 0.045)、性别(p = 0.038)和受教育程度(p = 0.009)与远程医疗知识的普及程度显著相关。结论研究表明,虽然贝宁市相当一部分居民对远程医疗有较好的了解,但其利用率仍然很低。解决基础设施的局限性和扩大教育努力将是缩小远程医疗知识和使用差距的关键。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Assessing Telemedicine Knowledge and Utilization among Residents in Benin City, Edo State during the COVID-19 Pandemic: A Descriptive Study
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.
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