CP3 Welcomes Next Visiting Scholar
We are thrilled that the School of Nursing’s Research and Scholarship Cancer Survivorship Hub is co-hosting our next Visiting Scholar, Stacie Dusetzina, PhD! She will be on campus May 5-7, and we have many activities and events planned for her to share her work, including a seminar open to the Pitt community. Dr. Dusetzina is a professor in the Department of Health Policy and an Ingram Professor of cancer research at Vanderbilt University School of Medicine. Her achievements include advising Congressional committees and multiple government agencies on prescription drug legislation, being selected to serve on the Medicare Payment Advisory Commission in 2021, and having her work on access to high-priced medications for Medicare beneficiaries influence major health legislation. Stay tuned for details of her visit!
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Current Grant Submissions
During the past few months, CP3 faculty have been hard at work preparing an unprecedented number of grant applications to further projects related to our mission of improving medication safety and access. Faculty Drs. Gellad, Suda, Anderson, Luo, and Lo-Ciganic have submitted four R01s, two R13s, a PCORI letter of intent and multiple VA grants in the past few months.
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Pitt Day of Giving
Mark your calendar for the Pitt Day of Giving on February 25! Any amount helps us move our research forward and supports the students and trainees as they prepare for their careers in health services research and policy.
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CP3 Associate Director Dr. Katie Suda and former CP3 postdoc Dr. Patience Moyo Dow were part of a National Academies of Sciences, Engineering, and Medicine committee that found that Veterans who were co-prescribed benzodiazepines and opioids had an increased risk of death. Read more about the study here.
Two companion clinical trials that aim to improve clinician prescribing behavior and reduce overdose risk in primary care settings have been listed on clinicaltrials.gov! Machine-Learning Prediction and Reducing Overdoses with EHR Nudges (mPROVEN, PI: Gellad) combines a machine learning risk prediction tool with behavioral nudges in the UMPC electronic health record, and Developing and Evaluating a Machine-Learning Opioid Prediction & Risk-Stratification E-Platform (DEMONSTRATE, PI: Lo-Ciganic) will
develop and implement a clinical decision support tool in the electronic health record, identifying patients at high risk for opioid overdose.
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Selected Recently Published Papers
Human versus Analogue Insulin for Youth with Type 1 Diabetes in Low-Resource Settings (HumAn-1): protocol for a randomised controlled trial
Abigail Foulds, Claire Josey, Sylvia Kehlenbrink, Bruce L Rollman, Chung-Chou H Chang, Christina Lalama, Éimhín Ansbro, Margaret L Prust, Bedowra Zabeen, Kaushik Ramaiya, Graham Ogle, Sae-Rom Chae, Jing Luo
BMJ Open, January 31, 2025
Prescriptions and Reimbursement of Glucagon Products for Severe Hypoglycemia in Medicaid
Noah M. Feder, BA; Ryan O’Dea, MS; Margaret Zupa, MD, MS; Jing Luo, MD, MPH
JAMA, January 8, 2025
Generalizability of Clinical Trials of Novel Weight Loss Medications to the US Adult Population
Lily G. Bessette, MS; Timothy S. Anderson, MD, MAS
JAMA Internal Medicine, November 25, 2024
Using human factors methods to mitigate bias in artificial intelligence-based clinical decision support
Laura G Militello, MA, Julie Diiulio, MS, Debbie L Wilson, PhD, Khoa A Nguyen, PharmD, Christopher A Harle, PhD, Walid Gellad, MD, MPH, Wei-Hsuan Lo-Ciganic, PhD
JAMIA, November 21, 2024
Differences in Drug Shortages in the US and Canada
Mina Tadrous, PharmD, PhD; Katherine Callaway Kim, MPH; Inmaculada Hernandez, PharmD, PhD; Scott D. Rothenberger, PhD; Joshua W. Devine, PharmD, PhD; Tina B. Hershey, JD, MPH; Lisa M. Maillart, PhD; Walid F. Gellad, MD, MPH; Katie J. Suda, PharmD, MS
JAMA, October 31, 2024
Design and development of a machine-learning-driven opioid overdose risk prediction tool integrated in electronic health records in primary care settings
Khoa Nguyen, Debbie L. Wilson, Julie Diiulio, Bradley Hall, Laura Militello, Walid F. Gellad, Christopher A. Harle, Motomori Lewis, Siegfried Schmidt, Eric I. Rosenberg, Danielle Nelson, Xing He, Yonghui Wu, Jiang Bian, Stephanie A. S. Staras, Adam J. Gordon, Jerry Cochran, Courtney Kuza, Seonkyeong Yang, & Weihsuan Lo-Ciganic
Bioelectronic Medicine, October 18, 2024
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In the Media
CP3 faculty affiliate Dr. Tim Anderson spoke with STAT about the PREVENT model, a simpler, less expensive way to predict risk of heart failure.
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Don’t miss Nursing School faculty member and CP3 faculty affiliate, Dr. Sarah Belcher, give her talk as part of the 2025 Senior Vice Chancellor’s Lecture Series on Friday, February 21 at noon. The lecture is virtual; click here for more information.
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We presented a poster of our risk prediction projects, mPROVEN and DEMONSTRATE, at the Pitt Bridging Connections in Addiction Research (BCAR) Symposium on February 13. We enjoyed meeting others interested in reducing overdoses and improving patient care!
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The American Medical Informatics Association’s 2025 Summit will be held right in our backyard in Pittsburgh this March 11-13. We’re looking forward to seeing friends and collaborators and to this presentation from Dr. Jenny Lo-Ciganic’s team. They compared tools to systematically extract opioid overdose, OUD, and their related information to facilitate opioid-related studies using clinical narratives.
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