18 June 2016
Effectiveness Research with Longitudinal Healthcare Databases
Large longitudinal healthcare databases have become important tools for studying the utilization patterns and clinical effectiveness of medical products and interventions in a wide variety of care settings. This course will prepare students to identify and use longitudinal databases for their own research. Strengths and limitations of large longitudinal healthcare databases that are commonly used for research will be considered. Special attention will be devoted to nationally representative databases that are critical for comparative effectiveness research. The course focuses on analytic principles and their application to database research. Participants will learn through lectures by experienced faculty and by evaluating published database studies. In computer labs they will learn to implement a database study comparing two medical products in a large healthcare claims database. The project will be conducted using the Aetion platform with an intuitive user interface that does not require any programming skills. The course requires a working understanding of epidemiologic study designs and typical analysis strategies. The target audience consists of researchers working in academia, medical product industry, health plans, government institutions, regulatory agencies, who have access to large longitudinal healthcare databases. They may use such data to evaluate the effectiveness of medical interventions and care patterns, to understand the comparative effectiveness and safety of medical products (drugs, devices), to test the impact of coverage policy changes, or to monitor the outcome of risk-sharing arrangements.
Sebastian Schneeweiss and Elisabetta Patorno (Harvard School of Public Health)
Physicians, clinicians and public health professionals from public and private institutions who are looking for systematic training in the principles of epidemiology and biostatistics, or epidemiology applied to health care planning and evaluation. They will acquire familiarity with epidemiological and biostatistical principles and techniques and with the computational tools needed to solve practical problems.
Students in biostatistics and epidemiology, and researchers both from public and private institutions who wish to increase their familiarity with quantitative methods or to deepen their knowledge of a specific area of interest, so they can more effectively address problems in health research. They will gain knowledge in modern, advanced methods useful for health professionals engaged in clinical practice, research and teaching.
To identify and use longitudinal databases for research and to consider strengths and limitations of commonly used large longitudinal healthcare databases. Special attention will be devoted to nationally representative databases that are critical for comparative effectiveness research.
It is possible to gain credits for the Summer School’s courses, but the decision is always made by the student’s own institution.
EUR 1400: For University students: Registration before February 14, 2016 €1,200. After February 14, 2016 €1,400.
EUR 1550: General: Registration before February 14, 2016 €1,350. After February 14, 2016 €1,550.