Publications by authors named "J Margraf"
Background: The potential of telehealth psychotherapy (ie, the online delivery of treatment via a video web-based platform) is gaining increased attention. However, there is skepticism about its acceptance, safety, and efficacy for patients with high emotional and behavioral dysregulation.
Objective: This study aims to provide initial effect size estimates of symptom change from pre- to post treatment, and the acceptance and safety of telehealth dialectical behavior therapy (DBT) for individuals diagnosed with borderline personality disorder (BPD).
Background: This paper reports on the outcomes of a proof-of-principle study for the Exposure Therapy Consortium, a global network of researchers and clinicians who work to improve the effectiveness and uptake of exposure therapy. The study aimed to test the feasibility of the consortium's big-team science approach and test the hypothesis that adding post-exposure processing focused on enhancing threat reappraisal would enhance the efficacy of a one-session large-group interoceptive exposure therapy protocol for reducing anxiety sensitivity.
Methods: The study involved a multi-site cluster-randomized controlled trial comparing exposure with post-processing (ENHANCED), exposure without post-processing (STANDARD), and a stress management intervention (CONTROL) in students with elevated anxiety sensitivity.
Background: The Personalized Advantage Index (PAI) shows promise as a method for identifying the most effective treatment for individual patients. Previous studies have demonstrated its utility in retrospective evaluations across various settings. In this study, we explored the effect of different methodological choices in predictive modelling underlying the PAI.
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- Vibrational spectroscopy is a key method for analyzing molecular structures, and this study looks at improving how accurately we can predict gas-phase infrared (IR) spectra using advanced computational techniques.
- A new approach combines harmonic vibrational frequencies and molecular dipole moment calculations, allowing flexibility in how we determine IR intensities.
- The study tests various methods, including semiempirical models and machine learning potentials, to find an efficient protocol for predicting IR spectra, with a focus on enhancing the accuracy of existing low-cost computational methods.
Background: Clinical diagnoses determine if and how therapists treat their patients. As misdiagnoses can have severe adverse effects, disseminating evidence-based diagnostic skills into clinical practice is highly important.
Objective: This study aimed to develop and evaluate a blended learning course in a multicenter cluster randomized controlled trial.