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Please use this identifier to cite or link to this item: http://hdl.handle.net/10481/44742

Title: Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel
Authors: García-Garzón, Eduardo
Zhukovsky, Peter
Haller, Elisa
Plakolm, Sara
Fink, David
Petrova, Dafina
Mahalingam, Vaishali
Menezes, Igor G.
Ruggeri, Kai
Issue Date: 2016
Abstract: Medical travel has expanded rapidly in recent years, resulting in new markets and increased access to medical care. Whereas several studies investigated the motives of individuals seeking healthcare abroad, the conventional analytical approach is limited by substantial caveats. Classical techniques as found in the literature cannot provide sufficient insight due to the nested nature of data generated. The application of adequate analytical techniques, specifically multilevel modeling, is scarce to non-existent in the context of medical travel. This study introduces the guidelines for application of multilevel techniques in public health research by presenting an application of multilevel modeling in analyzing the decision-making patterns of potential medical travelers. Benefits and potential limitations are discussed.
Publisher: Frontiers Media
Description: The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00752
Keywords: Medical travel
Public health
Policy
Multilevel model
Hierarchical linear model
Medical tourism
Police research
URI: http://hdl.handle.net/10481/44742
ISSN: 1664-1078
Citation: García-Garzón, E.; et al. Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel. Frontiers in Psychology, 7: 752 (2016). [http://hdl.handle.net/10481/44742]
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