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Multilevel Modeling and Policy Development: Guidelines and Applications to Medical Travel.
Garcia-Garzon, Eduardo; Zhukovsky, Peter; Haller, Elisa; Plakolm, Sara; Fink, David; Petrova, Dafina; Mahalingam, Vaishali; Menezes, Igor G; Ruggeri, Kai.
Afiliação
  • Garcia-Garzon E; Policy Research Group, Department of Psychology, University of CambridgeCambridge, UK; Departamento de Psicología Social y Metodología, Facultad de Psicología, Universidad Autónoma de MadridMadrid, Spain.
  • Zhukovsky P; Department of Psychology, Behavioural and Clinical Neuroscience Institute, University of Cambridge Cambridge, UK.
  • Haller E; Department of Psychology, Clinical Psychology with Focus on Psychotherapy Research, University of Zurich Zurich, Switzerland.
  • Plakolm S; Unit for Paediatric and Adolescent Psychiatry, Division of Paediatrics, University Medical Centre Maribor Maribor, Slovenia.
  • Fink D; Department of Psychology, Cognitive and Affective Neuroscience, University of Zurich Zurich, Switzerland.
  • Petrova D; Department of Experimental Psychology, Mind, Brain, and Behavior Research Center, University of Granada Granada, Spain.
  • Mahalingam V; Department of Psychology, University of Cambridge Cambridge, UK.
  • Menezes IG; Quantitative Methods and Predictive Psychometrics, Institute of Psychology, Federal University of Bahia Salvador, Brazil.
  • Ruggeri K; Policy Research Group, Department of Psychology, University of CambridgeCambridge, UK; Department of Engineering, Engineering Design Centre, University of CambridgeCambridge, UK.
Front Psychol ; 7: 752, 2016.
Article em En | MEDLINE | ID: mdl-27252672
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.
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Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2016 Tipo de documento: Article