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Análise fatorial no setor de saúde
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O objetivo principal deste estudo é apresentar uma aplicação da análise fatorial à área da saúde, através de uma base de dados, referente a um estudo comportamental sobre o serviço clínico/hospitalar.
Com o auxilio do método das componentes principais, com rotação ortogonal e normalização de Kaiser, detetam-se três fatores: relação entre paciente e colaborador (Fator 1); satisfação do colaborador (Fator 2) e satisfação global do paciente (Fator 3).
Forma estimados três modelos de regressão linear, com cada um dos três fatores como variável dependente, e concluiu-se que: o aumento do número de pessoas no agregado familiar piora a relação colaborador/paciente e origina menor satisfação tanto no colaborador como no paciente; os pacientes trabalhadores por conta de outrem têm uma melhor relação colaborador/paciente e originam uma menor satisfação tanto no colaborador como no paciente, comparativamente aos pacientes sem ocupação profissional; pacientes com formação superior originam maior satisfação, tanto no colaborador como no paciente, comparativamente a pacientes com, no máximo, ensino básico; pacientes com ensino secundário originam maior satisfação no paciente, comparativamente a pacientes com, no máximo, ensino básico.
The main objective of this study relates to the application of factor analysis in the health area, through a database relating to a behavioral study on clinical/hospital service. With the help of the main components method, with orthogonal rotation and Kaiser normalization, it was detected three factors: relationship between patient and employee (Factor 1); employee satisfaction (Factor 2) and overall patient satisfaction (Factor 3). Estimating linear regression models, in each one of the three factors is the dependent variable, and as explanatory variables some information about the users questioned, it was concluded that: the increasing number of people in the household, worsening the employee/patient relationship and gives less satisfaction in both the employee and the patient; patients that work for others have a better employee/patient relationship and result in a lower satisfaction in both the employee and the patient, compared to patients without professional occupation; patients with university education originate greater satisfaction both on the employee and in patients compared to patients with at most basic education; patients with secondary education originate greater satisfaction in patients compared to patients with no more than basic education.
The main objective of this study relates to the application of factor analysis in the health area, through a database relating to a behavioral study on clinical/hospital service. With the help of the main components method, with orthogonal rotation and Kaiser normalization, it was detected three factors: relationship between patient and employee (Factor 1); employee satisfaction (Factor 2) and overall patient satisfaction (Factor 3). Estimating linear regression models, in each one of the three factors is the dependent variable, and as explanatory variables some information about the users questioned, it was concluded that: the increasing number of people in the household, worsening the employee/patient relationship and gives less satisfaction in both the employee and the patient; patients that work for others have a better employee/patient relationship and result in a lower satisfaction in both the employee and the patient, compared to patients without professional occupation; patients with university education originate greater satisfaction both on the employee and in patients compared to patients with at most basic education; patients with secondary education originate greater satisfaction in patients compared to patients with no more than basic education.
Descrição
Mestrado em Econometria Aplicada e Previsão
Palavras-chave
Análise Fatorial Componentes Principais Normalização de Kaiser Rotação Ortogonal Factor Analysis Principal Components Kaiser Normalization Ortogonal Rotation
Contexto Educativo
Citação
Geraldes, João Pedro Ferreira (2016). "Análise fatorial no setor de saúde". Dissertação de Mestrado, Universidade de Lisboa. Instituto Superior de Economia e Gestão.
Editora
Instituto Superior de Economia e Gestão