2013
DOI: 10.1590/s0102-311x2013000600013
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Análise de correspondência múltipla na avaliação de serviços de farmácia hospitalar no Brasil

Abstract: O estudo objetivou avaliar a existência de associações entre variáveis de serviços de farmácia hospitalar. Foram utilizadas 30 variáveis do projeto Diagnóstico da Farmácia Hospitalar no Brasil relativas à caracterização geral do hospital, caracterização geral do serviço de farmácia hospitalar e etapas da assistência farmacêutica. A análise de correspondência múltipla e a análise de agrupamentos foram utilizadas. A dimensão 1 da análise de correspondência múltipla explicou 90,6% da variabilidade, diferenciando … Show more

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Cited by 18 publications
(4 citation statements)
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References 10 publications
(11 reference statements)
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“…Each variable had a spatial position on the perceptual map, with the similar or associated variables being represented in near points, and the non-similar variables in distant points. As a passive variable, the municipality was inserted, which although not contributing to the dispersion of the points on the map, helps interpreting the data obtained (13) .…”
Section: Data Collection Organization and Analysismentioning
confidence: 99%
“…Each variable had a spatial position on the perceptual map, with the similar or associated variables being represented in near points, and the non-similar variables in distant points. As a passive variable, the municipality was inserted, which although not contributing to the dispersion of the points on the map, helps interpreting the data obtained (13) .…”
Section: Data Collection Organization and Analysismentioning
confidence: 99%
“…Dessa forma, sendo um setor importante para o cuidado à saúde do paciente (NASCIMENTO et al, 2013;PELENTIR, DEUSCHLE, 2015).…”
unclassified
“…Multiple correspondence analysis is a multivariate technique that makes it possible to analyze large categorical data sets(Nascimento et al, 2013). According toRodriguez-Sabate et al (2017), this methodology distributes values from a relative frequency table in an n-dimensional space.…”
mentioning
confidence: 99%