Boston University - Clinical & Translational Science Institute

This study will perform magnetic resonance imaging (MRI) measurements of hemodynamics and cerebrospinal fluid flow across breathing tasks and during breath-locked neuromodulation.

Type: Interventional

Start Date: Jan 2022

open study

This phase II trial with a safety run-in component will evaluate whether the addition of pembrolizumab to Stereotactic Body Radiation Therapy (SBRT) re-irradiation will improve the progression-free survival for patients with recurrent or new second primary Head and Neck Squamous Cell Carcinoma (HNSCC).

Type: Interventional

Start Date: Nov 2018

open study

Digital mental health interventions are a cost-effective and efficient approach to expanding the accessibility and impact of psychological treatments; however, little guidance exists for selecting the most effective program for a given individual. In the proposed study, decision rules will develop for selecting the digital program that is most likely to be the optimal intervention for each user. These treatment recommendations can be implemented in the context of large healthcare delivery systems to improve the delivery of digital mental health interventions at scale. The overarching aim of the current study is to better understand for whom and how leading digital interventions work in a large healthcare setting. The study builds on the existing literature and follows expert recommendations by using machine learning (ML) methods to develop precision treatment rules (PTRs) for three leading digital interventions for emotional disorders (e.g., anxiety, depression, and related mental health disorders). Specifically, ML methods will be used to develop PTRs to optimize clinical outcomes and associated intervention engagement. This study will leverage a unique partnership between Boston University (BU), SilverCloud Health (SC)--a leading provider of digital mental health care--and Kaiser Permanente (KP)--one of America's leading health care providers. A clinical trial (RCT) will be conducted to evaluate the relative effectiveness of three distinct empirically supported digital mental health interventions (from SC's existing library of programs) in a sample recruited from KP primary care and other clinical settings. Data from this trial will be used to develop theoretically and empirically informed, reliable selection algorithms for managing treatment delivery decisions. Algorithms will be validated in a separate "holdout" dataset by examining whether allocation to predicted optimal treatment is associated with superior outcomes compared to allocation to a non-optimal treatment. The role of user engagement will be determined, and other mechanisms in treatment outcome.

Type: Interventional

Start Date: Apr 2023

open study

The purpose of this study is to investigate several approaches for improving spatial perception and speech intelligibility in multitalker listening situations for hearing-aid users. The hypotheses are that spatial perception and speech intelligibility will be improved by (1) increased high-frequency audibility, (2) speech envelope enhancement, and/or (3) appropriate sound image externalization.

Type: Interventional

Start Date: Mar 2022

open study

Although early interventions can improve health equity in young children living in poverty, this promise often is not realized because of barriers to family engagement. The proposed study will target co-morbid behavior and sleep problems in early childhood, comparing child outcomes and family response to sleep and behavior interventions and investigating the novel strategy of letting families select their intervention.We will enroll 500 low-income toddlers with co-morbid sleep and behavior problems, randomized to 4 parent coaching interventions: sleep, behavior, family choice (sleep or behavior), and an active control. At baseline and at 1, 5, and 9 months post- intervention, we will assess child sleep and behavior and family functioning. We will measure family preference, engagement, and perceived value of each intervention. The goals of the study are: (1) to examine effects of evidence- based sleep and behavior interventions in young low-income children with co-morbid sleep and behavior problems on child sleep and behavior and family functioning; (2) to determine whether parents prefer, engage with, and value a sleep or behavior intervention more; and (3) to examine if giving families a choice of intervention results in higher engagement, higher perceived value and better family and child outcomes than assignment to intervention. By informing best practices for engaging low-income families to treat co-morbid sleep and behavior problems, results will be critical to reducing health disparities for children living in poverty.

Type: Interventional

Start Date: Mar 2021

open study