Continuance Intention of Mental Health Telemedicine Applications: An Extended UTAUT2 Analysis with Age Moderation in Indonesia

The abstract, while containing basic information about the study, lacks crucial methodological details and theoretical positioning that would help readers quickly assess the paper's contribution.It fails to mention which specific theoretical model was extended beyond a basic reference to PLS-SEM and doesn't provide sufficient detail about the sample characteristics that significantly impact the findings.A stronger abstract should specify that this represents an "extended UTAUT2 model application" and mention key sample characteristics such as the predominance of young adults aged 17-27, which is crucial for interpreting the results.The results show that social influence (=0.135),performance expectancy (=0.142),price value (=0.293), and privacy concern (=0.204) are significant predictors of continuance intention.The model explains 47.6% of the variance in continuance intention (R = 0.476).Notably, age was found to significantly moderate the relationship between price value and continuance intention (=-0.142).These findings offer theoretical insights into technology acceptance in sensitive health contexts and provide practical recommendations for service providers to tailor their strategies.