Clinical validation of ICNP® Terminological Subset for people with chronic kidney disease undergoing hemodialysis

Authors

  • Richardson Augusto Rosendo da Silva Universidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brasil.
  • Juliana Otaciana dos Santos Universidade Federal Fluminense, Programa de Pós-graduação Mestrado Profissional em Enfermagem Assistencial, Niterói, RJ, Brasil.
  • Silvia Maria de Sá Basílio Lins Universidade Federal Fluminense, Programa de Pós-graduação Mestrado Profissional em Enfermagem Assistencial, Niterói, RJ, Brasil.
  • Harlon França de Menezes Universidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brasil.
  • Ana Beatriz Pereira da Silva Universidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brasil.
  • José Leonildo Fernandes de Queiroz Universidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brasil.
  • Rafaella Viesti Machado Universidade Federal do Rio Grande do Norte, Departamento de Enfermagem, Natal, RN, Brasil.
  • Jéssica Fernanda Galon Universidade Federal do Rio Grande do Norte, Programa de Pós-graduação em Enfermagem, Natal, RN, Brasil.

DOI:

https://doi.org/10.1590/1980-220X-REEUSP-2025-0364pt

Keywords:

Clinical Nursing Research, Validation Study, Standardized Nursing Terminology, Renal Dialysis, Renal Insufficiency, Chronic

Abstract

Objective: To clinically validate the nursing diagnoses/outcomes and interventions statements of the CIPE® Subset for individuals with chronic kidney disease undergoing hemodialysis. Method: Clinical validation study, with individuals aged 18 years or older, with chronic kidney disease, undergoing dialysis for at least three months. The research took place in three stages: Application of the Nursing Process to clinical practice, encompassing five essential steps - Nursing assessment, diagnosis, planning, implementation, and progress notes; Structuring of case studies; and Identification of the prevalence of ND/NO and NI listed from the case studies. Data were analyzed using latent class analysis. Results: The findings revealed three distinct latent classes: low (Class 1), medium (Class 2), and high (Class 3) risk. The indicators showed high sensitivity (72.0% to 91.0%) and specificity (83.0% to 92.0%) values, confirming the clinical validity of the subset and the consistency of the model for discriminating different profiles of patients undergoing hemodialysis. Conclusion: The study clinically validated a subset of 23 nursing diagnoses/outcomes and 169 interventions, demonstrating their applicability in care.

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References

Published

2026-01-23

Issue

Section

Original Article

How to Cite

Silva, R. A. R. da, Santos, J. O. dos, Lins, S. M. de S. B., Menezes, H. F. de, Silva, A. B. P. da, Queiroz, J. L. F. de, Machado, R. V., & Galon, J. F. (2026). Clinical validation of ICNP® Terminological Subset for people with chronic kidney disease undergoing hemodialysis. Revista Da Escola De Enfermagem Da USP, 60, e20250364. https://doi.org/10.1590/1980-220X-REEUSP-2025-0364pt