NIDA Clinical Trials Network (Greater NY Node), CTN-0062-Ot-A1
6/1/17 - 5/31/21
Jennifer McNeely, MD, MS (NYU)
Other Project Staff
John Rotrosen, MD (Greater NY Node, Node PI), Noah Nesin, MD (Penobscot Community Health Care, Chief Medical Officer), Trip Gardner, MD (Penobscot Community Health Care, Chief Psychiatric Officer), Lisa Marsch, PhD (Northeast Node, Node PI), Sarah Farkas (NYU/GNY Node), Patsy Novo (NYU/GNY Node), Antonia Polyn (NYU/GNY Node), Angeline Adam (NYU/GNY Node), Bethany McLeman (Dartmouth/NE Node), Elizabeth Saunders (Dartmouth/NE Node), Sarah K. Moore (Dartmouth/NE Node), Sharyl White (Penobscot), Alison Carter (Penobscot), Kim Clark (Penobscot), Robert Zavaleta (Penobscot), Deb Durant (Penobscot), Seamus Higgins (Penobscot), Rob Gore-Langton (Emmes), Kamyar Jalali (Emmes), Keaton Somerville (Emmes), Jeremy Wolff (Emmes), Lauren Yesko (Emmes), Ron Dobbins (NIDA), Udi Ghitza (NIDA), Carmen Rosa (NIDA)
This is a 4-phase study to implement the NIDA Common Data Elements (CDEs) in primary care settings. Collecting and utilizing the CDEs in clinical practice requires a strategy for implementing screening to collect substance use information that populates the CDEs, and assisting primary care providers to offer appropriate interventions by providing clinical decision support (CDS) and a mechanism for making referrals to addiction treatment. We aim to maximize the efficient adoption of screening, CDS, and treatment referrals by integrating all of these activities into the Electronic Health Record at three primary care sites of Penobscot Community Health Care (PCHC).
Public Health Relevance
Efficient and accurate identification and treatment of unhealthy substance use in rural FQHCs has the potential to reduce the burden of substance use disorders on patients, families, the healthcare and criminal justice systems, society and overall economic costs. Addressing this in primary care settings has the advantage of coordinating care and reducing the impact of substance use on other chronic medical conditions (e.g., hypertension, diabetes, infections). Using the EHR to facilitate this care has the potential to enable widespread dissemination and sustainable cost-effective implementation.