What does CPOR mean in UNIVERSITIES

The Center for Pharmacoeconomic and Outcomes Research (CPOR) is a research center that uses economic and scientific methods to evaluate the effectiveness of different drugs, treatments, policies, and healthcare services. CPOR seeks to bridge the gap between cost-effectiveness analysis and health policy formation to improve patient outcomes.

CPOR research involves a variety of stakeholders including economists, clinicians, epidemiologists, researchers, public health professionals, pharmaceutical companies, government agencies, health insurers, and policymakers.

The focus of CPOR’s research is on conducting comprehensive analyses of how medicines are used in real-world settings. This type of research includes evaluating the costs associated with providing treatments as well as analyzing the effectiveness and safety of those treatments. In addition to drug-specific studies, CPOR also conducts broader economic analyses such as cost-effectiveness modeling, budget impact studies, value assessment frameworks like HTA (health technology assessment), patient preference studies, risk adjustment models for understanding comparative care quality among providers and systems.

By providing evidence-based findings on the overall costs and benefits associated with different treatment options or health policies, the research conducted at CPOR helps inform healthcare decisions and can lead to improved clinical practices while reducing overall costs. Additionally, by increasing transparency regarding which treatments are most beneficial or cost effective from a societal perspective allows for higher quality healthcare delivery overall.

CPOR utilizes a range of analytical techniques such as simulation modeling; decision tree analysis; Bayesian network approaches; statistical regression; combined value framework assessment with multi-criteria decision analysis (MCDA); Monte Carlo probabilistic sensitivity analysis; comparator selection; system dynamics; Markov modeling ;and artificial neural networks (ANN).

Datasets used in our research typically include claims data from pharmacy benefit managers (PBMs), electronic medical records (EMRs), observational databases from large employers or other payers such as Medicare or Medicaid administrative datasets, hospital discharge abstracts (HDAs), census tracts data,patient survey data,policies related to healthcare access or coverage,center/national registry records.

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Our work has potential implications for policy makers since it produces rigorous evidence on how different interventions may influence healthcare utilization patterns across various populations leading to improved clinical effectiveness while controlling health care expenditures.