Procura espontânea de atendimento por idosos da Estratégia Saúde da Família: análise não linear do comportamento temporal das morbidades

Detalhes bibliográficos
Ano de defesa: 2015
Autor(a) principal: Rocha, Suelen Alves [UNESP]
Orientador(a): Não Informado pela instituição
Banca de defesa: Não Informado pela instituição
Tipo de documento: Dissertação
Tipo de acesso: Acesso aberto
Idioma: por
Instituição de defesa: Universidade Estadual Paulista (Unesp)
Programa de Pós-Graduação: Não Informado pela instituição
Departamento: Não Informado pela instituição
País: Não Informado pela instituição
Palavras-chave em Português:
Link de acesso: http://hdl.handle.net/11449/132081
http://www.athena.biblioteca.unesp.br/exlibris/bd/cathedra/04-11-2015/000851910.pdf
Resumo: Introduction. The unscheduled encounters represent a significant problem for primary care clinics management and to provide timely access. Additionally, Brazil has undergone a demographic and epidemiological transition process that modifies the use of health services. Thus, the burden of morbidity and mortality is shifted from younger to older groups and the prevalence of morbidity replaces mortality. We propose: 1. To classify the behavior pattern of morbidities diagnosed in the unplanned appointments resulting from the elderly in a service provider; 2. To show the adequacy of nonlinear analysis in human social phenomenon. Method. It is a quantitative research, observational, ecological design to temporal trend. We used the Symbolic Dynamic and Recurrence quantification analysis to analyze the time-series. The morbidities diagnosed in the unplanned appointments from elderly were transformed into time series. The data was collect in a Primary Care Unit locate in the country of São Paulo State, between May/2012 to May/2014. Results. Musculoskeletal discords has a tendency to random behavior, however, it is the most prevalent. The circulatory morbidity and prevalent chronic (Hypertension and Diabetes Mellitus) present chaotic trend and the linear respiratory diseases were linear. The nonlinear analysis was more appropriate than the classic statistic in assessing the dynamic of investigated phenomenon