Abstract
AIM: To evaluate the global impact of the NANDA-I, Nursing Interventions Classification (NIC), and Nursing Outcomes Classification (NOC) (NNN) standardized nursing terminologies on nursing care quality, consistency, and documentation. DESIGN: Systematic review of experimental and quasi-experimental studies conducted in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 guidelines and registered in PROSPERO (CRD42024564151). DATA SOURCES: PubMed, Web of Science, and Scopus databases were searched for studies published between May 2019 and June 2024 using predefined Population, Intervention/Exposure, Control, and Outcomes-based keywords. REVIEW METHODS: A total of 783 articles were identified; a total of 32 met inclusion criteria after duplicate removal and full-text screening. Quality was assessed using validated tools, including The National Heart, Lung, and Blood Institute, Joanna Briggs Institute, and Mixed Method Assessment Tool checklists. RESULTS: The included studies, mostly from Latin America and Southern Europe, reported positive impacts of the NNN system on clinical reasoning, individualized care planning, documentation quality, and interdisciplinary communication. Barriers included insufficient training, system integration challenges, and limited uptake in regions like North Africa and Asia. Although diverse study designs were used, few evaluated long-term clinical or organizational outcomes. CONCLUSION: NANDA-I, NIC, and NOC classifications enhance nursing practice by supporting structured care processes and measurable outcomes. Their global implementation remains uneven, highlighting the need for institutional support, educational integration, and region-specific implementation research. RELEVANCE TO CLINICAL PRACTICE: Integrating standardized nursing languages into clinical, educational, and policy frameworks can strengthen evidence-based care, improve documentation, and elevate the visibility of nursing contributions to patient outcomes.
Showing the abstract — retrieve the full paper via the Exa API.