ArticleJMIR formative research2022
Predictors of Disengagement and Symptom Improvement Among Adults With Depression Enrolled in Talkspace, a Technology-Mediated Psychotherapy Platform: Naturalistic Observational Study.
Article in JMIR formative research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Digital Psychotherapies for Adults Experiencing Depressive Symptoms: Systematic Review and Meta-Analysis.JMIR mental health · 2024Pooled it
- Message-Based vs Video-Based Psychotherapy for Depression: A Randomized Clinical Trial.JAMA network open · 2025Trial
- Enhancing Case Formulation Competence in Novice Counselors: A ChatGPT-Assisted Approach Using the 4P Model.Behavioral sciences (Basel, Switzerland) · 2026Article
- Engagement and Outcomes Associated With Message-Based Psychotherapy Among Older and Younger Adults.The American journal of geriatric psychiatry : official journal of the American Association for Geriatric Psychiatry · 2026Article
- "Technology is Amazing… But Right Now, I Just Don't Know": Real-world Implementation Experiences and Adaptation Recommendations for Message-based Care in Community Mental Health.Community mental health journal · 2026Article
- Gender Differences in Trajectories of Depressive Symptoms Among Talkspace Clients: Naturalistic Observational Study.JMIR formative research · 2025Observational
- Application of a Sociotechnical Framework to Uncover Factors That Influence Effective User Engagement With Digital Mental Health Tools in Clinical Care Contexts: Scoping Review.Journal of medical Internet research · 2025Article
- When and Why Adults Abandon Lifestyle Behavior and Mental Health Mobile Apps: Scoping Review.Journal of medical Internet research · 2024Article
- Mental Health Counseling From Conversational Content With Transformer-Based Machine Learning.JAMA network open · 2024Article
- An Integrative Engagement Model of Digital Psychotherapy: Exploratory Focus Group Findings.JMIR formative research · 2023Article
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Authors and funding
5 authors.
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Abstract
backgroundDepression is a common psychiatric condition with an estimated lifetime prevalence for major depression of 16.6% in the US adult population and is effectively treated through psychotherapy. The widespread availability of the internet and personal devices such as smartphones are changing the landscape of delivery of psychotherapy; however, little is known about whether and for whom this type of therapy is beneficial, and whether having synchronous video-based sessions provides additional benefits to clients above and beyond messaging-based therapy.
objectiveThis study examined the outcomes associated with the use of a digital platform (Talkspace) for technology-mediated psychotherapy. We examined the duration of client engagement in therapy and client depression score trajectories over 16 weeks. We explored the association of client characteristics, therapist characteristics, and service plan type with time-to-disengagement and trajectories of change in depression scores.
methodsThis naturalistic observational study assessed data collected routinely by the platform between January 2016 and January 2018 and examined psychotherapy outcomes among a large representative sample of adult clients with clinically significant depression. Treatment disengagement was defined as a lack of client-initiated communication for more than 4 weeks. Clients completed the Patient Health Questionnaire-8 item (PHQ-8) at intake and every 3 weeks via an in-app survey. Cox regression analysis was used to examine the time until and predictors of disengagement. Changes in depression scores and predictors of change over time were examined using mixed-effects regression.
resultsThe study included 5890 clients and 1271 therapists. Client scores on the PHQ-8 declined over time, with the average client improving from a score of 15 to below the clinical cutoff of 10 by week 6. At the same time point, 37% of clients had disengaged from the therapy. When combined into a final Cox regression model, those who were more likely to disengage were clients aged 18 to 25 years versus those aged ≥50 years (odds ratio [OR] 0.82, 95% CI 0.74-0.9; P<.001), had higher education (OR 1.14, 95% CI 1.06-1.22; P<.001), had been in therapy before (OR 1.09, 95% CI 1.02-1.17; P=.01), and were living with a partner but unmarried versus single (OR 1.14, 95% CI 1.02-1.27; P=.02). Having a therapist with >10 years of experience was related to lower odds of disengagement (OR 0.87, 95% CI 0.8-0.94; P=.01). When combined into a final regression model predicting improvement in depression scores over time, clients showing more improvement were those with an associate's degree or higher (linear estimate=-0.07, P=.002) and higher intake PHQ-8 scores (estimate=3.73, P<.001). There were no differences based on the plan type.
conclusionsOur findings add to the growing literature showing the benefits of technology-mediated psychotherapy over a relatively brief period (16 weeks).
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