Predictive model of hospitalization for children and adolescents with chronic disease

• Autor(a) principal: Araújo,Yana Balduíno de
• Data de Publicação: 2020
• Outros Autores: Santos,Sérgio Ribeiro dos, Neves,Nívea Trindade de Araújo Tiburtino, Cardoso,Érika Leite da Silva, Nascimento,João Agnaldo
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Revista Brasileira de Enfermagem (Online)
• Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672020000200154
• topic: Decision Trees; Chronic Disease; Hospitalization; Child; Adolescent

ABSTRACT Objectives: Describe a predictive model of hospitalization frequency for children and adolescents with chronic disease. Methods: A decision tree-based model was built using a database of 141 children and adolescents with chronic disease admitted to a federal public hospital; 18 variables were included and the frequency of hospitalization was defined as the outcome. Results: The decision tree obtained in this study could properly classify 80.85% of the participants. Model reading provided an understanding that situations of greater vulnerability such as unemployment, low income, and limited or lack of family involvement in care were predictors of a higher frequency of hospitalization. Conclusions: The model suggests that nursing professionals should adopt prevention actions for modifiable factors and authorities should make investments in health promotion for non-modifiable factors. It also enhances the debate about differentiated care to these patients.