Modelo de regressão logística para auxiliar a tomada de decisão quanto à necessidade de reabilitação em pacientes com Acidente Vascular Encefálico

• Ano de defesa: 2013
• Autor(a) principal: Lucena, Eleazar Marinho de Freitas
• Tipo de documento: Dissertação
• Tipo de acesso: Acesso aberto
• Idioma: por
• Instituição de defesa: Universidade Federal da Paraí­ba; BR; Ciências Exatas e da Saúde; Programa de Pós-Graduação em Modelos de Decisão e Saúde; UFPB
• Palavras-chave em Português: Acidente cerebrovascular; Acesso aos serviços de saúde; Classificação Internacional de Funcionalidade, Incapacidade e Saúde (CIF); Análise de regressão; Stroke; Health services accessibility; International Classification of Functioning, Disability and Health; Regression analysis; CIENCIAS DA SAUDE::SAUDE COLETIVA
• Link de acesso: https://repositorio.ufpb.br/jspui/handle/tede/6549

The stroke is characterized by generate impairments that lead to high morbidity in the affected people. The stroke s impacts have their effects minimized through the implementation of a rehabilitation program. However, the care integrality to people who require this service is not yet secured, which is visible by the repressed demand to access to them existing in the health care network. The aim of this study is propose a model to assist the decision making process related to the need forwarding of patients affected by the stroke for rehabilitation services of João Pessoa PB. A cross-sectional observational study involving individuals diagnosed with stroke, with onset time not exceeding 60 months and linked to the Family Health Strategy. It was used a questionnaire containing items that contemplate the access to rehabilitation treatment, beyond the dimension Body Functions of International Classification of Functioning, Disability and Health (ICF). To make the use of ICF applicable some items were elected as reference, from the Core sets of stroke. The statistical method of logistic regression was used to subsidize the decision making from the functionality. The Body Functions that showed statistical significance (p-value < 0,05) were: Functions related to Muscular Tonus (OR = 2,38); Functions related to Voluntary Control (OR = 2,60); Emotional Functions (OR = 2,22); Sexual Functions (OR = 3,92). The results of this study show a valid logistic model, revealing the functional aspects correlated with the need for rehabilitation in post-stroke, enabling the decision making in this context.