Developing a Subset of ICNP® Terminology for NICU and Neonatology Settings

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Authors: Valentina Tommasi, Laura Elvezia Alessandra Stabilini, Giulia Vercesi, Serena Rampini, Patrizio Sannino, Vincenza Aloia, Sara Marotta, Luca Giuseppe Re, Camilla Ripari, Stefania Celeste Rippa, Barbara Bassola, Maura Lusignani
Cited by: 1

Abstract

Background/Objectives: The International Classification for Nursing Practice (ICNP®) is a standardized nursing terminology that enables the description of nursing care through diagnoses, interventions, and outcomes. An ICNP® Subset is a sub-group of ICNP® terms appropriate for settings of practice, facilitating the direct use of the ICNP® in nursing documentation. As far as we know, there are no Subsets concerning neonatology and Neonatal Intensive Care Unit (NICU) settings. The aim of this study is to develop a Subset of ICNP® NICU and neonatology setting, presenting terms that are validated and harmonized with SNOMED CT nomenclature. Methods: This is a two-phase study. In the first phase ICNP® terms were validated through a qualitative study using a four-round Delphi method and a focus group involving experts in NICU, neonatology settings, and education. The second phase focused on harmonizing the proposed ICNP® Subset with SNOMED CT. Results: A total of 479 ICNP® terms belonging to the Diagnosis/Outcome (DC) and Intervention (IC) axes were validated by the experts. Of these, 99.65% were found to be compatible with SNOMED CT. In addition, 97 new terms (30 Diagnoses/Outcomes and 67 Interventions) were validated and are currently awaiting approval by the International Council of Nurses. Of the newly proposed terms, 93.81% were compatible with SNOMED CT. Conclusions: The proposed Subset consists of 576 ICNP® terms, including 177 Diagnoses/Outcomes and 399 Interventions. Its implementation may support the adoption of electronic health records in neonatal and NICU settings and contribute to improving the quality and standardization of nursing care.

Fields of Study & Subjects

Nursing Diagnosis and Documentation Biomedical Text Mining and Ontologies Clinical practice guidelines implementation

Publication details

Journal / source
Preprints.org
Publisher
MDPI AG
Publication date
12 January 2026
Document type
Preprint