Mobile app for COVID-19 patient education – Development process using the analysis, design, development, implementation, and evaluation models
Nonlinear Engineering
; - (1):549-557, 2022.
Article
in English
| ProQuest Central | ID: covidwho-2065197
ABSTRACT
There are many factors that can lead to the transmission of coronavirus disease 2019 (COVID-19), one of which is the lack of knowledge on the virus and its prevention, notably in Indonesia. This study was focused to design and build an interactive learning app for COVID-19 education. The design of this study was research and development, and in terms of the app development, it utilized the analysis, design, development, implementation, and evaluation model. The project was carried out from July to December 2021, and it involved 25 study participants. The findings of this study confirmed that the educational app consisted of education, a symptom checker, a list of vaccine information links, the latest news, and COVID-19 statistics. The validity assessment showed that the educational app in this study was very appropriate to be utilized as a digital medium for patient education. In addition, it was also confirmed that all the functions of the app worked well, and participants strongly agreed that the educational materials and features of the app were interesting and helped them to learn COVID-19 prevention easily. It could be concluded that the app could be used as a learning medium for patient education. Further studies, however, were needed to prove its effectiveness in the real clinical world.
Engineering; ADDIE; app; COVID 19; educational app; health promotion; patient education; Design analysis; Learning; Applications programs; Interactive learning; Education; Mobile computing; Educational software; Research & development--R&D; Viral diseases; Coronaviruses; Evaluation; Disease transmission; COVID-19
Full text:
Available
Collection:
Databases of international organizations
Database:
ProQuest Central
Type of study:
Experimental Studies
Language:
English
Journal:
Nonlinear Engineering
Year:
2022
Document Type:
Article
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