Recently Completed Projects As Principal Investigator
Implications of Bayesian Adaptive Trials on Comparative Effectiveness Research
This project involves an innovative approach to designing and conducting “pragmatic” randomized clinical trials (RCTs) for comparative effectiveness research (CER) in cardiovascular disease. Funding for this project is provided by the NIH/NHLBI.
VIDEO: Prof. Mullins discusses his project on Bayesian Adaptive Trials.
PCORI-funded Research on Engaging Hard-to-Reach Patients in CER and PCOR
NEWS: Daniel Mullins, PhD, led an interprofessional team from pharmacy, medicine, and nursing, collaborating with community groups, to reach potential patients.
Report from SOP Tells How to Include Hard To Reach Patients.
This report is aimed at encouraging medical researchers to include “hard-to-reach” patients in future studies and clinical trials. It summarizes its findings into “10 Solid Suggestions How to Elicit Hard-to-Reach Patients’ Perspectives and Partner with Patient Communities”.
The findings presented in this report are the result of a six-month study led by Dr. Mullins and the University of Maryland School of Pharmacy that involved dozens of focus groups of caregivers and patients of different medical conditions. Funding was provided from Dr. Mullins’ unique contract with the Patient-Centered Outcomes Research Institute (PCORI), an independent agency established by the federal Affordable Care Act of 2010 as a non-governmental, nonprofit organization.
The original official report in PDF format may be accessed here.
Outcomes Research on Colon Cancer Treatments Using SEER-Medicare Dataset
The goal of the project is to examine treatment patterns and outcomes among pretreated elderly Medicare colon cancer patients who progress to 2nd and 3rd line chemotherapy treatment. Funding for this project is provided by Bayer HealthCare Pharmaceuticals, Inc.
Professor Mullins’ group has published several papers using SEER-Medicare, including an algorithm for identifying treatment lines – see PubMed page here for the algorithm paper. For a complete list of Professor Mullins’ publications, click on the Publications link.