Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases

Detalhes bibliográficos
Autor(a) principal: Sato,Renato Cesar
Data de Publicação: 2012
Outros Autores: Zouain,Désirée Moraes
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Einstein (São Paulo)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000100013
Resumo: OBJECTIVE: To identify and evaluate latent variables (variables that are not directly observed) for adopting and using nuclear technologies in diagnosis and treatment of chronic diseases. The measurement and management of these latent factors are important for healthcare due to complexities of the sector. METHODS: An exploratory factor analysis study was conducted among 52 physicians practicing in the areas of Cardiology, Neurology and Oncology in the State of Sao Paulo who agreed to participate in the study between 2009 and 2010. Data were collected using an attitude measurement questionnaire, and analyzed according to the principal component method with Varimax rotation. RESULTS: The component matrix after factor rotation showed three elucidative groups arranged according to demand for nuclear technology: clinical factors, structural factors, and technological factors. Clinical factors included questionnaire answers referring to medical history, previous interventions, complexity and chronicity of the disease. Structural factors included patient age, physician's practice area, and payment ability. Technological factors included prospective growth in the use of nuclear technology and availability of services. CONCLUSIONS: The clinical factors group dimension identified in the study included patient history, prior interventions, and complexity and chronicity of the disease. This dimension is the main motivator for adopting nuclear technology in diagnosis and treatment of chronic diseases.
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spelling Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseasesChronic diseaseDiagnostic imagingTherapeuticsBiomedical technologyNuclear medicineRadioisotopesHealth services administrationOBJECTIVE: To identify and evaluate latent variables (variables that are not directly observed) for adopting and using nuclear technologies in diagnosis and treatment of chronic diseases. The measurement and management of these latent factors are important for healthcare due to complexities of the sector. METHODS: An exploratory factor analysis study was conducted among 52 physicians practicing in the areas of Cardiology, Neurology and Oncology in the State of Sao Paulo who agreed to participate in the study between 2009 and 2010. Data were collected using an attitude measurement questionnaire, and analyzed according to the principal component method with Varimax rotation. RESULTS: The component matrix after factor rotation showed three elucidative groups arranged according to demand for nuclear technology: clinical factors, structural factors, and technological factors. Clinical factors included questionnaire answers referring to medical history, previous interventions, complexity and chronicity of the disease. Structural factors included patient age, physician's practice area, and payment ability. Technological factors included prospective growth in the use of nuclear technology and availability of services. CONCLUSIONS: The clinical factors group dimension identified in the study included patient history, prior interventions, and complexity and chronicity of the disease. This dimension is the main motivator for adopting nuclear technology in diagnosis and treatment of chronic diseases.Instituto Israelita de Ensino e Pesquisa Albert Einstein2012-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-45082012000100013einstein (São Paulo) v.10 n.1 2012reponame:Einstein (São Paulo)instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)instacron:IIEPAE10.1590/S1679-45082012000100013info:eu-repo/semantics/openAccessSato,Renato CesarZouain,Désirée Moraeseng2012-09-19T00:00:00Zoai:scielo:S1679-45082012000100013Revistahttps://journal.einstein.br/pt-br/ONGhttps://old.scielo.br/oai/scielo-oai.php||revista@einstein.br2317-63851679-4508opendoar:2012-09-19T00:00Einstein (São Paulo) - Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)false
dc.title.none.fl_str_mv Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
title Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
spellingShingle Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
Sato,Renato Cesar
Chronic disease
Diagnostic imaging
Therapeutics
Biomedical technology
Nuclear medicine
Radioisotopes
Health services administration
title_short Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
title_full Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
title_fullStr Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
title_full_unstemmed Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
title_sort Factor analysis for the adoption of nuclear technology in diagnosis and treatment of chronic diseases
author Sato,Renato Cesar
author_facet Sato,Renato Cesar
Zouain,Désirée Moraes
author_role author
author2 Zouain,Désirée Moraes
author2_role author
dc.contributor.author.fl_str_mv Sato,Renato Cesar
Zouain,Désirée Moraes
dc.subject.por.fl_str_mv Chronic disease
Diagnostic imaging
Therapeutics
Biomedical technology
Nuclear medicine
Radioisotopes
Health services administration
topic Chronic disease
Diagnostic imaging
Therapeutics
Biomedical technology
Nuclear medicine
Radioisotopes
Health services administration
description OBJECTIVE: To identify and evaluate latent variables (variables that are not directly observed) for adopting and using nuclear technologies in diagnosis and treatment of chronic diseases. The measurement and management of these latent factors are important for healthcare due to complexities of the sector. METHODS: An exploratory factor analysis study was conducted among 52 physicians practicing in the areas of Cardiology, Neurology and Oncology in the State of Sao Paulo who agreed to participate in the study between 2009 and 2010. Data were collected using an attitude measurement questionnaire, and analyzed according to the principal component method with Varimax rotation. RESULTS: The component matrix after factor rotation showed three elucidative groups arranged according to demand for nuclear technology: clinical factors, structural factors, and technological factors. Clinical factors included questionnaire answers referring to medical history, previous interventions, complexity and chronicity of the disease. Structural factors included patient age, physician's practice area, and payment ability. Technological factors included prospective growth in the use of nuclear technology and availability of services. CONCLUSIONS: The clinical factors group dimension identified in the study included patient history, prior interventions, and complexity and chronicity of the disease. This dimension is the main motivator for adopting nuclear technology in diagnosis and treatment of chronic diseases.
publishDate 2012
dc.date.none.fl_str_mv 2012-03-01
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/S1679-45082012000100013
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dc.publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
publisher.none.fl_str_mv Instituto Israelita de Ensino e Pesquisa Albert Einstein
dc.source.none.fl_str_mv einstein (São Paulo) v.10 n.1 2012
reponame:Einstein (São Paulo)
instname:Instituto Israelita de Ensino e Pesquisa Albert Einstein (IIEPAE)
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