The efficacy of Raspberry Pi-based automatic voice message education on knowledge level and prevention behavior of high-risk population

Abstract

Introduction: The number of confirmed COVID-19 cases has increased in Indonesia. Preventive measures are believed to break the chain of transmission of COVID-19. Therefore, increasing knowledge through health education is essential to improve preventive behavior in the community. The study aims to determine the efficacy of implementing health education using Raspberry Pi based automatic voice massages in increasing high risk populations’ knowledge and prevention behavior. Design and Methods: This study was a quasi-interventional method with a pre-posttest research design and a non-equivalent control group, consisting of 30 respondents in each group. Control group received health education through leaflet sharing, while intervention group received health education through Raspberry-pi based automatic voice massages. Results: This study showed that there were no significant different in knowledge between control and intervention group after obtaining health education. Meanwhile, the intervention group showed higher score in knowledge regarding COVID-19. Moreover, the prevention behavior was significantly improved in both groups after acquiring health education through leaflets and automatic voice messages. Conclusions: Health education using Raspberry Pi based automatic voice messages improved both knowledge and preventive behavior regarding COVID 19 in high risk population.

Keywords

• COVID-19
• education
• knowledge
• behaviour
• high-risk population