Validation of NANDA International diagnoses at an intensive care unit

Abstract

Aim: The aim of the study was to conduct content validation of selected NANDA International diagnoses for an Interdisciplinary Intensive Care Unit (IICU), and to identify the degree of diagnostic significance of their selected defining characteristics and relevant or risk factors. Design: Descriptive study. Methods: The set of NANDA International diagnoses and selected characteristics for validation was compiled using the following methods: 1) Content analysis of a form for planning nursing care at the IICU, Nový Jičín Hospital; 2) Literature search and selection of diagnoses from the studies found; and 3) Consensus between two experts. Subsequently, 32 nursing diagnoses with 100 defining characteristics, 72 related factors and 73 risk factors were included in the study (i.e., a total of 245 characteristic signs). The sample of clinical experts conducting the validation consisted of 17 general nurses from the participating department. Fehring’s Diagnostic Content Validation (DCV) tool was used. Results: Total DCV score > 0.6 was identified in 16 nursing diagnoses, while values below 0.6 were calculated for the same number of validated diagnoses. The number of major characteristics of diagnoses (DCV ≥ 0.80) was 28. The number of minor characteristics (DCV 0.79 – 0.51) was 176, while 41 nursing characteristics of nursing diagnoses were considered diagnostically insignificant (DCV < 0.5). Conclusion: On the basis of the validation study results, 16 nursing NANDA International diagnoses with 102 valid diagnostic characteristics were recommended for nursing diagnostics in lucid adult patients at the IICU, Nový Jičín Hospital.

Keywords

• adult patient
• content validation
• dcv model
• intensive care
• nanda international
• nursing diagnosis