Ms. Abisola Abolude

Ms. Abisola Abolude is a Research Associate at IMPAQ International, LLC. She has worked on a variety of health projects that involve data analysis, quantitative and qualitative evaluation of health programs, quality improvement, and technical support.


Ms. Abolude has experience with Medicare claims data through End-Stage Renal Disease (ESRD) Implementation and Beneficiary Alignment Consulting support project, and also through the Quality Innovation Network National Coordinating Center (QIN NCC). Under the ESRD Implementation project, Ms. Abolude frequently accesses the CMS Integrated Data Repository claim database to create programs, conduct analyses, and generate reports. Under the QIN NCC project, Ms. Abolude worked in the CMS Healthcare Quality Information Systems workbench to analyze Medicare claims data for antibiotic stewardship efforts for QIN-Quality Improvement Organizations (QIN-QIOs). She also analyzed quarterly data from the QIN-QIOs to assess their progress towards meeting the antibiotics stewardship measure.


Ms. Abolude has mostly worked on projects for the Centers of Medicare and Medicaid Services. She has also worked on a mixed methods evaluation for Howard County General Hospital.

Prior Experience

Prior to joining IMPAQ, Ms. Abolude was a Senior Health Data Analyst at Telligen where she led analysis related to antibiotic stewardship for Quality Innovation Network-Quality Improvement Organizations.


Ms. Abolude has a master’s degree in economics from Morgan State University, and a bachelor’s degree in mathematics from Hood College.

Featured IMPAQ Publications and Presentations

Varghese, R., Borelli, S., Bollino-Doyle, C., Hoffman, V., Abolude, A., Emery, D., Talbert, K. & Butler, T. (2018, June). Evaluation of the Journey to Better Health Program. Poster presentation at the AcademyHealth Annual Research Meeting (ARM), Seattle, WA.

Previous Papers and Presentations

Brock, J., Abolude, A., Stevens, B., Rockell, J., Peppercorn, S. (2019, January). Exploratory Medicare Quality Improvement Analyses to Inform Patient Safety Initiatives Through Prescribing Patterns, Beneficiary Demographics, and Utilization. Presentation at CMS Quality Conference, Baltimore, MD.