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Brianna Lombardi, PhD, MSW

Researcher, School of Social Work, University of North Carolina, Chapel Hill, North Carolina

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Authors: Erica Richman | Brianna Lombardi | Lisa de Saxe Zerden

Topics: Data Analysis, Health Information Technology, Staffing

July 1, 2020
This research brief uses electronic health record data to describe the mix of profession­als identifying and addressing pa­tient Social Determinants of Health (SDOH).
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Authors: Lisa de Saxe Zerden | Brianna Lombardi | Erica Richman | Anjalee Sharma

Topics: Behavioral Health, Primary Care

March 3, 2020
This research brief assesses which professionals comprise the workforce that provides medication-assisted treatment (MAT) in primary care, how office-based opioid treatment (OBOT) teams communicate about patient care, and the behavioral components of MAT provided in primary care settings.
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Authors: Lisa de Saxe Zerden | Erica Richman | Brianna Lombardi | Kim Shoenbill | Erin Fraher

Topics: Behavioral Health, Data Analysis

February 27, 2020
This research brief demonstrates how electronic health records data can be used as a workforce research tool to assess the scope, contributions, and value of social work, a profession still in the process of establishing its return on investment in health care.
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Authors: Erica Richman | Brianna Lombardi | Lisa de Saxe Zerden | Randy Randolph

Topics: Behavioral Health, Education and Training, Primary Care, Scope of Practice (SOP)

November 5, 2018
This report expands on earlier work by analyzing data after implementation of the Affordable Care Act and after the expansion of the Behavioral Health Workforce Education and Training Program, 2014 and 2017 federal initiatives to expand the behavioral health workforce in integrated settings.
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Authors: Erica Richman | Brianna Lombardi | Lisa de Saxe Zerden | Randy Randolph

Topics: Behavioral Health, Integration and Collaboration, Primary Care

November 1, 2018
This report examines the rate of co-location between primary care physicians (PCPs) and social workers/psychologists to (1) identify the percent of PCPs co-located with social workers/psychologists in the US; (2) assess if co-location rates vary by state, region, rurality, or practice size; and (3) determine if co-location rates vary by PCP specialty.
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