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The Effect of Public Health System Performance on Child Well-Being: An Analysis Through the Construction and Selection of Composite Indicators

Author

Listed:
  • Angélica Santos

    (Graduate Program in Computational Modeling and Systems, State University of Montes Claros, Montes Claros CEP 39401-089, MG, Brazil)

  • Matheus Libório

    (Graduate Program in Computational Modeling and Systems, State University of Montes Claros, Montes Claros CEP 39401-089, MG, Brazil)

  • André Coimbra

    (Graduate Program in Computational Modeling and Systems, State University of Montes Claros, Montes Claros CEP 39401-089, MG, Brazil)

  • Marcos D’Angelo

    (Graduate Program in Computational Modeling and Systems, State University of Montes Claros, Montes Claros CEP 39401-089, MG, Brazil)

  • Petr Ekel

    (Graduate Program in Informatics, Pontifical Catholic University of Minas Gerais, Belo Horizonte CEP 30535-901, MG, Brazil)

  • Hasheem Mannan

    (School of Nursing, Midwifery & Health Systems, Health Sciences Centre, University College Dublin, Dublin D04 V1W8, Ireland)

  • Heveraldo Rodrigues de Oliveira

    (Graduate Program in Computational Modeling and Systems, State University of Montes Claros, Montes Claros CEP 39401-089, MG, Brazil)

  • Iara Silva

    (Graduate Program in Informatics, Pontifical Catholic University of Minas Gerais, Belo Horizonte CEP 30535-901, MG, Brazil)

Abstract

Interest in child health and well-being is growing, and both are multidimensional. Composite indicators (CIs) are useful tools for analyzing their relationships. This study examines the correlation between the CI of child well-being and that of public health system performance and proposes a weighting scheme for constructing CIs. Among schemes, entropy weighting yielded the strongest correlation. Uncertainty analysis revealed that country rankings with entropy weighting are the most stable, demonstrating robust CI. Strong explanatory power indicates that the CIs correlate with GDP, validating their compatibility with a key reference variable. High discriminant power confirms that CIs provide informational diversity, helping decision-makers distinguish between countries. The analysis shows that better health system performance is associated with higher child well-being, reinforcing the role of public health systems in promoting sustainable development and child well-being.

Suggested Citation

  • Angélica Santos & Matheus Libório & André Coimbra & Marcos D’Angelo & Petr Ekel & Hasheem Mannan & Heveraldo Rodrigues de Oliveira & Iara Silva, 2026. "The Effect of Public Health System Performance on Child Well-Being: An Analysis Through the Construction and Selection of Composite Indicators," World, MDPI, vol. 7(5), pages 1-16, May.
    • Handle: RePEc:gam:jworld:v:7:y:2026:i:5:p:76-:d:1936807
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