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Published on: January 17, 2025
Understanding the Differences Between Online and Offline Mental Health Help Seekers: Cross-Sectional Comparative
Mohamed Adwi1, Bahaa Mahmoud2, Noha Amer3
1Shezlong Inc, Giza, Egypt.
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.
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