Evidence-based interventions vary in effectiveness for individuals with depression, which has a large public health burden. Readiness for change or treatment can be an important individual difference predictor of depression outcomes. To inform public service initiatives targeting readiness for treatment, characterizing readiness across settings and levels of care is key.
View Article and Find Full Text PDFThe present study sought to examine the relation between borderline personality disorder (BPD) symptoms and empathic accuracy while improving on prior methodologies by using daily affect assessment in romantic partners. BPD symptoms were assessed in both members of 81 community couples who also reported on their own and their partner's negative and positive affect daily for 3 weeks. Data were analyzed using the Truth and Bias Model of Judgment, which allows the source of empathic accuracy to be parsed into partner affect (truth) and own affect (bias).
View Article and Find Full Text PDFBackground: Engagement with mental health smartphone apps is an understudied but critical construct to understand in the pursuit of improved efficacy.
Objective: This study aimed to examine engagement as a multidimensional construct for a novel app called HabitWorks. HabitWorks delivers a personalized interpretation bias intervention and includes various strategies to enhance engagement such as human support, personalization, and self-monitoring.
Objectives: There is a great need for low-intensity, scalable treatments in primary care, where most anxious patients first present for treatment. We describe Stage IA treatment development and a Stage IB feasibility trial of cognitive bias modification (CBM) for transdiagnostic anxiety in primary care.
Methods: The online intervention, Mental Habits, comprised eight sessions of a personalized CBM targeting attention and interpretation biases.