Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel García-Garzón, Eduardo Zhukovsky, Peter Haller, Elisa Plakolm, Sara Fink, David Petrova, Dafina Mahalingam, Vaishali Menezes, Igor G. Ruggeri, Kai Medical travel Public health Policy Multilevel model Medical tourism Police research Hierarchical linear model The Supplementary Material for this article can be found online at: http://journal.frontiersin.org/article/10.3389/fpsyg.2016.00752 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. 2017-02-08T12:58:54Z 2017-02-08T12:58:54Z 2016 info:eu-repo/semantics/article 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] 1664-1078 http://hdl.handle.net/10481/44742 10.3389/fpsyg.2016.00752 eng info:eu-repo/semantics/openAccess Frontiers Media