CT-NIB Taxonomy for Nursing Information Behavior: KO in the Pandemic

Authors

Elizabeth Milonas, CUNY New York City College of TechnologyFollow
Sergey Zherebchevsky, Long Island University
Richard P. Smiraglia, Institute for Knowledge Organization and StructureFollow

Document Type

Article

Publication Date

Summer 2020

Abstract

As COVID-19 emerged on the world stage a challenge arose to help inform the knowledge base in home health-care nursing. Connecting current experience with the Pajarillo theory "The Nub of Nursing Information Behavior (NIB" was a first step. To provide a taxonomy of NIB, standard domain analytical tools for ontology extraction were employed using Pajarillo's text. Analysis generated frequency distributions of terms and phrases which were then sorted and disambiguated to generate a list of phenomena. Co-word analysis generated visualizations to suggest regions that might constitute facets and sub-facets. Facet analysis yielded six major facets and 17 sub-facets. The NANDA International Nursing Diagnoses and Classification was mapped to the core taxonomy. The "Core Taxonomy of Nursing Information Behavior (CT-NIB)" was published online on 12 May 2020. An update including the mappings to the NANDA classification constituted version 1.1, which was made available 26 June 2020.

Comments

Milonas, Elizabeth, Sergey Zherebchevsky, and Richard P. Smiraglia. "CT-NIB Taxonomy for Nursing Information Behavior: KO in the Pandemic." IKOS BULLETIN. Organization 41: 263-275.