What is high-quality healthcare? And how can we distinguish between hospitals that perform well and those that do not? Over recent years, the urgency of such questions has increased. Only two decades ago, physicians had a social mandate to judge and manage quality of care. But the new quest for transparency means that medical practice is now scrutinised critically by a wide range of stakeholders. So how should quality of care be evaluated? As better patient outcomes are the ultimate aim of quality-of-care measurements, outcome measures (such as hospital mortality) are attractive. But they are complicated by two major methodological problems: statistical uncertainty and differences in patient population between hospitals. This thesis presents methods to tackle these problems, applying them to acute neurological diseases, including traumatic brain injury, stroke, Guilllain-Barre syndrome, and subarachnoid haemorrhage.

Additional Metadata
Keywords Guilllain-Barre syndrome, case mix, indicators, outcome measurement, quality of care, random effect model, stroke, subarachnoid haemorrhage, traumatic brain injury
Promotor E.W. Steyerberg (Ewout)
Publisher Erasmus University Rotterdam
Sponsor FSC Mix, Netherlands Heart Foundation, Erasmus MC Rotterdam
ISBN 978-90-77283-11-0
Persistent URL hdl.handle.net/1765/21742
Citation
Lingsma, H.F. (2010, November 26). Measuring quality of care: Methods and applications to acute neurological diseases. Erasmus University Rotterdam. Retrieved from http://hdl.handle.net/1765/21742