Spatial Clusters of Chronic Childhood Conditions in the State of Paraíba, Brazil

Authors

  • Malu Micilly Porfírio Santos Pinto aMestre em Modelos de Decisão e Saúde, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.
  • Luciana Moura Mendes de Lima bDoutora em Modelos de Decisão e Saúde, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.
  • Rackynelly Alves Sarmento Soares bDoutora em Modelos de Decisão e Saúde, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.
  • Simone Elizabeth Duarte Coutinho cDocente do Departamento de Enfermagem em Saúde Coletiva, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.
  • Ana Tereza de Medeiros dDocente do Programa de Pós-Graduação em Modelos de Decisão e Saúde, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.
  • Ronei Marcos de Moraes dDocente do Programa de Pós-Graduação em Modelos de Decisão e Saúde, Universidade Federal da Paraíba, João Pessoa, Paraíba, Brasil.

DOI:

https://doi.org/10.36311/jhgd.v32.12618

Keywords:

chronic condition, child, adolescent, spatial analysis

Abstract

Introduction:chronic conditions are complex health problems that require continuous and multidisciplinary care. When they affect children/adolescents, they require hospitalizations and periodic and long-term follow-up. Understanding the geographical distribution of these conditions will provide greater visibility to the problem and support the decision-making process.

Objective: detect the spatial clusters of chronic health conditions affecting children and adolescents in the state of Paraíba, Brazil.

Methods: ecological, retrospective, study employing secondary data from the Information System of Children and Adolescents with Chronic Disease from a reference hospital in the state of Paraíba, Brazil, covering the period from 2015 to 2017. The Spatial Incidence Ratio and the Spatial Scan statistic were used for the data analysis.

Results: a concentration of spatial clusters was observed in the Mata Paraibana mesoregion, an area where the public hospital service is located, which functions as a reference in the recurrent hospitalizations of this population with chronic conditions.

Conclusion: the detection of spatial clusters can help public managers to recognize the priority areas for the monitoring of chronic conditions in children and adolescents.

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Published

2022-01-31

Issue

Vol. 32 No. 1 (2022)

Section

ORIGINAL ARTICLES

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Copyright (c) 2022 Pinto MMPS, Lima LMM, Soares RAS, Coutinho SED, Medeiros AT, Moraes RM

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This work is licensed under a Creative Commons Attribution 4.0 International License.