Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/6242
Título: Health care marketing: the theory of planned behavior applied to patients' choise between private and public providers in the portuguese health care system.
Autor: Ferreira, Filipa Monteiro
Orientador: Henseler, Jörg
Palavras-chave: Health care system
Theory of planned behavior
Private and Public Health care sectors
Health care satisfaction
Intention
Behavior
Attitude
Subjective norm
Perceived behavior control
General practice
Specialist consultation
Emergency
Ambulatory surgery and hospitalization
Sistema de saúde
Teoria do comportamento planeado
Sector de Saúde público e privado
Satisfação em saúde;
Intenção
Comportamento
Atitude
Controlo do comportamento percebido
Consulta de clínica geral
Consulta de especialidade
Urgência
Cirurgia em ambulatório
Internamento
Data de Defesa: 12-Out-2011
Relatório da Série N.º: Mestrado em Estatística e Gestão de Informação;TEGI0284
Resumo: Purpose - The Portuguese health care system has been evolving throughout the last 35 years with two relevant facts: the public sector has progressed with improvement in all relevant OECD indicators; the private sector has been widened and reinforced. In this framework, it is important to understand how patient’s intention and behavior are built, so health care organizations in both sectors (public and private) can improve their health care provision (particularly in health care marketing), invest and develop those areas that might become sustainable competitive advantages. The most established theory of social psychology explaining human behavior will be applied: Theory of Planned Behavior (TPB). Within this conceptual approach, attitude toward the behavior, subjective norm, perceived behavior control, habit and past experience evaluation (satisfaction on the private and public sectors) will be analyzed in explaining the intention to go to the private sector. As the health care system is not homogeneous across the private and public sectors, five models will be tested in the areas that have been identified with distinct supplies: general practice, specialist consultation, emergency, ambulatory surgery and hospitalization.(...)
Descrição: Dissertation submitted in partial fulfillment of the requirements for degree of Master in Statistics and Information Management.
URI: http://hdl.handle.net/10362/6242
Aparece nas colecções:NIMS - Dissertações de Mestrado em Estatística e Gestão da Informação

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