Comparative Analysis of Counseling Outcomes in Online vs. In-Person Therapy

Thesis Abstract

This study addresses the comparative efficacy of online and in-person counseling modalities in promoting psychological well-being among adults presenting with moderate anxiety and depressive symptoms, a domain where accessibility and engagement disparities may influence treatment outcomes. The aim is to determine whether therapeutic outcomes differ by mode of delivery and to identify mechanisms that mediate or moderate these effects. Specific objectives are (1) to compare changes in anxiety and depressive symptomatology between online and in-person therapy over a 12-week treatment period; (2) to examine therapeutic alliance as a mediator of outcomes across modalities; (3) to assess client satisfaction, adherence to homework assignments, and dropout rates; (4) to explore whether therapy expectations and digital literacy moderate modality effects; and (5) to evaluate cost-effectiveness from the service provider perspective. The study adopts a multi-site, parallel-group randomized controlled design guided by the common factors theory and the Technology Acceptance Model to parse affective, relational, and pragmatic determinants of therapy success. The population consists of adults aged 18–65 with clinically significant but non-psychotic anxiety and/or depressive symptoms, recruited from urban community mental health centers and private practices. A sample of 240 participants (120 per modality) will be randomized to either online cognitive-behavioral therapy (CBT) delivered via a secure video platform or standard face-to-face CBT, with treatment administered by licensed clinicians trained to deliver standardized CBT protocols. Data collection employs validated instruments at baseline, mid-treatment (6 weeks), end of treatment (12 weeks), and 3-month follow-up. Primary outcomes include changes in Generalized Anxiety Disorder-7 (GAD-7) and Patient Health Questionnaire-9 (PHQ-9) scores; secondary outcomes include Therapeutic Alliance Scale for Cognitive-Behavioral Therapy (TAS-CBT), Client Satisfaction Questionnaire (CSQ-8), adherence rates (homework completion), and relapse indicators. Data analysis uses intention-to-treat principles with mixed-effects modeling to compare trajectory differences across modalities, controlling for covariates such as baseline symptom severity, age, gender, education, and digital literacy. Mediation analysis will test therapeutic alliance as a mediator, while moderation analyses will examine the influence of digital literacy, prior online therapy exposure, and expectancy effects. A cost-effectiveness analysis will be conducted from the payer perspective using incremental cost-effectiveness ratios (ICER) based on quality-adjusted life years (QALYs) derived from the EQ-5D-5L. Expected findings include equivalent, or non-inferior, symptom reduction for online CBT relative to in-person CBT, with potential advantages for online therapy in accessibility and adherence but variable therapeutic alliance strength depending on individual preferences and digital comfort. The study anticipates that higher therapeutic alliance and satisfaction will correlate with better treatment outcomes in both modalities, yet online delivery may show greater variance in alliance quality. The contribution to knowledge lies in providing robust, ecologically valid evidence on the effectiveness and implementation considerations of online versus in-person therapy for anxiety and depression, informing clinical guidelines, policy decisions, and scalable mental health service delivery in mixed-model healthcare systems. The theoretical implications include empirical support for or refinement of common factors and technology-mediated therapy theories, while methodological contributions involve rigorous randomized design, repeated-measures analyses, and integrated economic evaluation. The conclusion aims to delineate the conditions under which online therapy serves as a viable alternative or complement to in-person therapy and to identify actionable recommendations for optimizing therapeutic alliance, engagement, and outcomes across delivery modes, including targeted strategies for populations with limited digital literacy or access. Practical implications emphasize training enhancements for clinicians in delivering online CBT, infrastructure investments to ensure data security and privacy, and policy guidance on reimbursement and accessibility. Recommendations for future research include longer-term follow-up beyond three months, exploration of other modalities such as blended care, and examination of outcomes in diverse cultural contexts.