Research Faculty

Photo of Dr. Bahraini

Nazanin Bahraini PhD

Associate Professor
  • Physical Medicine and Rehabilitation (SOM)

Email Address:nazanin.bahraini@cuanschutz.edu

Dr. Bahraini is an Associate Professor of Physical Medicine and Rehabilitation and Psychiatry at the University of Colorado Anschutz School of Medicine and the Director of Research at the Rocky Mountain Mental Illness Research, Education and Clinical Center (MIRECC) for Suicide Prevention. Her research is focused on designing and evaluating system-level strategies to improve implementation of evidence-based practices in TBI rehabilitation and suicide prevention and understanding the impact of social determinants of health on mental health outcomes and suicide risk. Dr. Bahraini also serves as the Electronic Editor for the Journal of Head Trauma Rehabilitation and an Associate Editor for Psychological Services.

Examples of grant funded projects include: Examining the Effectiveness of an Adaptive Implementation Intervention to Improve Uptake of the VA Suicide Risk Identification Strategy (VA Quality Enhancement Research Initiative);  Restoring Efficient Sleep after TBI (CU-REST; Mindsource Brain Injury Network); Developing a Shared Decision-Making Support Tool to Promote Evidence-based Treatment for Veterans with Post-concussive Sleep Conditions (VA Rehabilitation Research & Development).

Areas of Expertise

Suicide prevention, traumatic brain injury and co-morbid psychiatric disorders, novel interventions for mental health.

Education, Licensure & Certifications

Year of Licensure: 2010

Awards

Grants/Funding

Examining the Effectiveness of an Adaptive Implementation Intervention to Improve Uptake of the VA Suicide Risk Identification Strategy (PI: Bahraini)
VA Quality Enhancement Research Initiative
This national quality improvement project will utilize an adaptive strategy to improve implementation of VA Risk ID to fidelity. Using a sequential multiple assignment randomized trial (SMART) design, two evidence-based implementation strategies will be evaluated: 1) Audit and Feedback (A/F); 2) A/F plus External Facilitation (A/F+EF). We will evaluate these strategies across several domains based on the RE-AIM QuEST mixed methods framework. In addition to focusing on implementation outcomes, such as the impact of these strategies on implementation of VA Risk ID to fidelity, and potential barriers to adopting these strategies, we will examine the impact of the clinical innovation (i.e., VA Risk ID) on patient-level outcomes.
https://www.queri.research.va.gov/national_partnered_evaluations/suicide_identification.cfm
Understanding Impact of VHA's New Suicidal Ideation Screening Initiative: Veterans' Perspectives (PI: Dobscha)
VA Health Services Research & Development
The primary goal of this study is to characterize Veteran experiences with VHA's new SI screening process and the clinical evaluation that takes place in response to screening results. We will also examine the extent to which screening process variables are associated with mental health treatment utilization over six months.
Co-Investigator
Pathways to Partnership - Suicide Prevention for Rural Veterans (PI: Mohatt)
VA Office of Rural Health
This Enterprise Wide Collaborative Rural Access Intervention for Rural Veteran Suicide Prevention integrates multiple evidence-based practices and existing VA programs (e.g., suicide risk management in primary care, crisis support, firearm safety, and the Home-Based Mental Health Evaluation [HOME] program) into a comprehensive portfolio of best practices that work synergistically to strengthen VA and community partnerships to empower and mobilize communities around suicide prevention, improve access for rural Veterans, and effectively target known risk and protective factors for suicide.
Co-Investigator
Towards Optimizing Behavioral Markers of Suicide Risk (PI: Barnes)
VA Clinical Services Research & Development
This study will utilize computerized reaction-time tasks that serve as behavioral markers of suicide risk to evaluate the theory that suicide-related cognitive processes are likely to emerge when people who are at risk of suicide experience distress. If this is the case, inducing a dysphoric mood prior to administering the tasks should optimize their accuracy for identifying Veterans at high risk of attempting suicide in the near future.
Co-Investigator