This review investigates persuasive design frameworks within eHealth, concentrating on
methodologies, their prevalence in mental and behavioral health applications, and …

Premature dropout from psychotherapy can harm patients and increase mental health costs.
This study identified predictors of dropout in brief online psychotherapy for essential workers …

Objective This study proposes a way of increasing dataset sizes for machine learning tasks
in Internet-based Cognitive Behavioral Therapy through pooling interventions. To this end, it …

Many important behavior changes are frictionful; they require individuals to expend effort
over a long period with little immediate gratification. Here, an artificial intelligence (AI) agent …

Background: To address the growing prevalence of youth mental health problems, early
intervention is crucial to minimize individual, societal, and economic impacts. Indicative …

Objectives Despite the development of efficacious wellness interventions, sustainable
wellness behavior change remains challenging. To optimize engagement, initiating small …

Background The number of days between treatment sessions is often overlooked as a
predictor of attrition in psychotherapy. In text-based Internet interventions, days between …

Background Online psychological interventions have emerged as a treatment alternative
because they are accessible, flexible, personalized, and available to large populations. The …

Background In the medical field of obstetrics, communication plays a crucial role, and
pregnant women, in particular, can benefit from interventions improving their self-reported …

Background: Online psychological interventions have emerged as a treatment alternative
because they are accessible, flexible, personalized, and available to large populations. The …