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This book examines the drivers of inbound medical tourism in Germany. In light of growing international trade of medical services, it provides a quantitative analysis of the determinants of international patients' choice of destination. It develops coherent definitions of medical tourism and medical travel, and presents multiple unique data sets to identify inbound medical travelers in Germany. Further, it introduces an empirical modeling framework for investigating and quantifying the drivers and effects of a patient's choice of destination at the national, hospital and individual level. A particular focus of the analysis lies on cultural proximity and personal networks as key channels to convey trust in a destination's service. In addition, real consideration sets of international patients are presented. The findings presented are embedded in a global context and will help inform future empirical investigations and modeling.
Inhaltsverzeichnis
A Dearth of Empirical Investigations.- Traveling for Treatment: Taxonomy, Patient Flows and Candidate Drivers.- The Sum of Its Parts: A Structured Approach to the Modeling of Destination Choice.- Drivers of Medical Travel at the National Level.- Drivers of Medical Travel at the Hospital Level.- Drivers of Medical Tourism at the Individual Level.- Connecting the Dots: Implications for Destinations and Policy Makers.
Über den Autor / die Autorin
Dr. Klaus Schmerler is a researcher at Martin Luther University Halle-Wittenberg, Germany. His research focuses on the empirical investigation of medical tourism and trade in health services, a topic at the intersection of health economics, econometrics and international trade.
Zusammenfassung
This book examines the drivers of inbound medical tourism in Germany. In light of growing international trade of medical services, it provides a quantitative analysis of the determinants of international patients’ choice of destination. It develops coherent definitions of medical tourism and medical travel, and presents multiple unique data sets to identify inbound medical travelers in Germany. Further, it introduces an empirical modeling framework for investigating and quantifying the drivers and effects of a patient's choice of destination at the national, hospital and individual level. A particular focus of the analysis lies on cultural proximity and personal networks as key channels to convey trust in a destination’s service. In addition, real consideration sets of international patients are presented. The findings presented are embedded in a global context and will help inform future empirical investigations and modeling.
