@article { , title = {Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel}, 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.}, doi = {10.3389/fpsyg.2016.00752}, eissn = {1664-1078}, journal = {Frontiers in Psychology}, publicationstatus = {Published}, publisher = {Frontiers Media}, url = {https://hull-repository.worktribe.com/output/2004555}, volume = {7}, keyword = {Business and Logistics, Medical travel, Public health, Policy, Multilevel model, Hierarchical linear model, Medical tourism, Policy research}, year = {2016}, author = {Garcia-Garzon, Eduardo and Zhukovsky, Peter and Haller, Elisa and Plakolm, Sara and Fink, David and Petrova, Dafina and Mahalingam, Vaishali and Menezes, Igor G. and Ruggeri, Kai} }