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Evolution of nursing diagnoses for children with congenital heart disease

Viviane Martins da Silva1, Thelma Leite de Araujo, Marcos Venícios de Oliveira Lopes

  • 1Federal University of Ceará. vivianemartinsdasilva@hotmail.com

Revista Latino-Americana De Enfermagem
|September 13, 2006
PubMed

Insights

This study tracked nursing diagnoses in children with congenital heart disease over 15 days. Key diagnoses like Ineffective breathing pattern fluctuated, highlighting the need for dynamic nursing care strategies.

Area of Science:

  • Pediatric Nursing
  • Cardiology
  • Nursing Informatics

Background:

  • Congenital heart disease (CHD) presents complex care needs for children.
  • Understanding the dynamic nature of nursing diagnoses in pediatric CHD is crucial for effective care.
  • Existing research often lacks a longitudinal perspective on nursing diagnoses in this population.

Purpose of the Study:

  • To describe the temporal evolution of nursing diagnoses in hospitalized children with congenital heart disease.
  • To identify nursing diagnoses with significant fluctuations over time in this patient group.
  • To explore the potential for predictive modeling of nursing diagnoses in pediatric CHD.

Main Methods:

  • Longitudinal study conducted from July to November 2004.
  • Sample of 45 children with congenital heart disease in a Brazilian public hospital.
  • Six diagnostic evaluations performed over a 15-day follow-up period.

Main Results:

  • A total of 21 nursing diagnoses were identified.
  • Six diagnoses exhibited significant temporal oscillations: Ineffective breathing pattern, Activity intolerance, Ineffective airway clearance, Hyperthermia, Sleep pattern disturbance, and Risk for activity intolerance.
  • Five parametric models were developed to predict the occurrence of these diagnoses.

Conclusions:

  • Nursing diagnoses in pediatric congenital heart disease are dynamic and evolve over time.
  • Identifying fluctuating diagnoses is key to timely and appropriate nursing interventions.
  • Temporal modeling offers a promising approach to anticipate patient needs and optimize nursing care for children with CHD.

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