AHRQ Small Research Grant Program (R03)

This study will evaluate the feasibility and effectiveness of providing chronic intestinal failure patients and their family caregivers with direct access to live, virtual, multi-disciplinary (multi-D) support and education on best practices from a team of experts and peers. Such support can improve patient outcomes by enhancing knowledge, increasing confidence in self-care, and fostering a support network where patients can share lived experiences.

This research will develop and validate a clinician-facing longitudinal risk-prediction tool using self-reported data from US military service members and veterans, to assist clinicians in screening, evaluation, and timely intervention in suicide ideation and suicide attempts.

This research is developing and evaluating a machine learning algorithm that uses existing electronic health record data to predict childhood asthma treatment response and better inform personalized treatment. 

This study aimed to improve data exchange between public health and clinical care information systems, and across public health itself, to enhance data-informed decision making and surveillance of vaccine-preventable diseases, with findings indicating increased efficiency in both data access and staff effort.

This research will study the implementation of Telehealth Education for Asthma Connecting Hospital and Home (TEACHH), a novel intervention designed to provide an effective asthma educational platform appropriate for all health literacy levels. The intervention includes initial instruction in the hospital and reinforcement at home using virtual visits to reduce barriers to self-management support for children who are hospitalized due to asthma.