Integration policies and other complex care interventions: how to quantify their overall impact?
Hosted by LSHTM Health Services Research and Policy Department’s Policy Innovation Research Unit Seminar Series
Date: Tuesday 25 April 2017
Time: 2:00pm – 3:30 pm
Venue: Jenny Roberts Room, LSHTM, 15-17 Tavistock Place, London, WC1H 9SH, UK
Speaker: Paul F.M. Krabbe (University Medical Center Groningen, The Netherlands)
Integration policies, which encourage GPs, hospitals and social care providers to better communicate and coordinate services, are to improve patients’ care experience and well-being, enhance staff job satisfaction, and reduce costs. To evaluate these and other complex interventions, it is necessary to extend traditional health technology assessment methods to accommodate multiple competing criteria and non-health outcomes. Discrete choice experiments can elicit preferences for outcomes that range beyond health or clinical ones; multi-criteria decision analysis establishes weights for the relative values of different attributes to evaluate options. Paul will discuss these newer methods of study and lay out a unified approach to quantifying (complex) integrated care interventions’ overall effects.
Paul Krabbe is an associate professor in the Epidemiology Department at University Medical Center Groningen — and head of the center’s Patient Centered Health Technology Assessment unit. He is also a member of the EuroQol Research Foundation, where he helps advance health-related quality-of-life measurement instruments.
He has published over 150 peer-reviewed international articles on a wide range of empirical, methodological and theoretical topics in outcomes research; he has been co-editor of the Journal of Quality of Life Research. In 2004, he was a visiting research fellow at the Harvard Initiative for Global Health, to explore the application of modern scaling models as an alternative way to measure patients’ health status. In his recent book, “The Measurement of Health and Health Status”, Paul outlines different approaches to outcomes measurement — and presents a unifying perspective on how to select the best measurement framework for any situation.Back