METHODS: A cross-sectional online survey was conducted from February to April 2021 among adolescents in Kota Bharu, Kelantan. Participants completed the Malay Version of the Internet Addiction Test, the Depression, Anxiety and Stress Scale-21 and a sociodemographic information form. A multiple logistic regression analysis was performed to determine the associations between variables.
RESULTS: A total of 535 adolescents participated in this study. Among them, 65.9% were girls. The prevalence of IA among the participants was 48.6%. Male sex [adjusted odds ratio (AOR)=2.15, 95% confidence interval (CI)=1.30-3.57], internet usage at home (AOR=6.17, 95% CI=1.94-19.58), internet usage to watch/download music (AOR=2.50, 95% CI= 1.52-4.12), internet usage to engage in social networking (AOR=2.29, 95% CI=1.19-4.40), inadequate parental/guardian bonding (AOR=2.19, 95% CI=1.31-3.65), depression (AOR=2.03, 95% CI=1.07-3.85), anxiety (AOR=2.79, 95% CI=1.64-4.76) and stress (AOR=4.67, 95% CI=2.00-10.91) were significantly associated with IA.
CONCLUSION: IA was prevalent among Malaysian adolescents during the COVID-19 pandemic. Sex, internet usage profile and psychological factors were significant predictors of IA.
OBJECTIVE: This study aims to design and develop a smartphone app called OASapp to improve medication adherence among older adult stroke survivors and evaluate its usability.
METHODS: OASapp was developed in a three-phase development process. Phase 1 is the exploration phase (including a cross-sectional survey, a systematic review, a search for stroke apps on the app stores of Apple App Store and Google Play Store, and a nominal group technique). In phase 2, a prototype was designed based on the Health Belief Model and Technology Acceptance Model. In phase 3, Alpha and Beta testing was conducted to validate the app.
RESULTS: Twenty-five features for inclusion in the app were collected in round one, and 14 features remained and were ranked by the participants during nominal group technique. OASapp included five core components (medication management, risk factor management, health information, communication, and stroke map). Users of OASapp were satisfied based on reports from Alpha and Beta testing. The mean Usability Metric for User Experience (UMUX) score was 71.4 points (SD 14.6 points).
CONCLUSION: OASapp was successfully developed using comprehensive, robust, and theory-based methods and was found to be highly accepted by users. Further research is needed to establish the clinical efficacy of the app so that it can be utilized to improve clinically relevant outcomes.