Background: Telepsychiatry has gained considerable attention, particularly during the COVID-19 pandemic. Although various factors influence the choice between online and offline modalities, differences among populations remain underexplored.
Objective: This study aims to compare adults seeking mental health support online and offline in private clinics.
Methods: In this cross-sectional study, we assessed differences in sociodemographic factors, internet accessibility and usability, previous help-seeking history, personality traits assessed using the Arabic Big Five Personality Inventory, and levels of self-stigma measured using the Self-Stigma of Seeking Help Scale.
Results: In total, 259 participants were included (136 online and 123 offline). The online group had a higher proportion of university graduates (P=.02), employed individuals (P<.001), and those with better internet access (P=.03) and higher internet usability (P=.001). The offline group showed higher levels of conscientiousness (P=.003). The primary reasons for choosing online therapy were ease of access and time-saving. Logistic regression identified previous use of online psychiatry as the strongest factor associated with choosing online services (odds ratio [OR] 28.90, 95% CI 11.739-71.165; P<.001). Employment (OR 5.01, 95% CI 1.781-14.080; P=.002), better internet usability (OR 1.69, 95% CI 1.069-2.664; P=.03), and agreeableness (OR 1.16, 95% CI 1.001-1.351; P=.05) were also significant factors. In contrast, previous in-person visits (OR 0.11, 95% CI 0.048-0.269; P<.001), openness (OR 0.85, 95% CI 0.748-0.975; P=.02), and conscientiousness (OR 0.86, 95% CI 0.758-0.971; P=.02) were negatively associated with online preference.
Conclusions: This study highlights key differences between online and offline mental health help seekers, enhances our understanding of treatment modality preferences, and paves the way for future research.
Keywords: help-seeking behavior; online therapy; personality traits; self-stigma; telepsychiatry.
©Mohamed Adwi, Bahaa Mahmoud, Noha Amer, Roa Gamal Alamrawy, Ismail Sadek, Mohamed Elsheikh. Originally published in JMIR Human Factors (https://humanfactors.jmir.org), 07.11.2025.