1. Nurses' beliefs about nursing diagnosis: A study with cluster analysis.
- Author
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D'Agostino, Fabio, Pancani, Luca, Romero‐Sánchez, José Manuel, Lumillo‐Gutierrez, Iris, Paloma‐Castro, Olga, Vellone, Ercole, and Alvaro, Rosaria
- Subjects
CHI-squared test ,CLUSTER analysis (Statistics) ,FACTOR analysis ,NURSES' attitudes ,NURSING diagnosis ,QUESTIONNAIRES ,RESEARCH funding ,STATISTICAL sampling ,SCALE analysis (Psychology) ,SOCIOECONOMIC factors ,CROSS-sectional method ,DATA analysis software ,DESCRIPTIVE statistics - Abstract
Abstract: Aims: To identify clusters of nurses in relation to their beliefs about nursing diagnosis among two populations (Italian and Spanish); to investigate differences among clusters of nurses in each population considering the nurses' socio‐demographic data, attitudes towards nursing diagnosis, intentions to make nursing diagnosis and actual behaviours in making nursing diagnosis. Background: Nurses' beliefs concerning nursing diagnosis can influence its use in practice but this is still unclear. Design: A cross‐sectional design. Methods: A convenience sample of nurses in Italy and Spain was enrolled. Data were collected between 2014‐2015 using tools, that is, a socio‐demographic questionnaire and behavioural, normative and control beliefs, attitudes, intentions and behaviours scales. Results: The sample included 499 nurses (272 Italians & 227 Spanish). Of these, 66.5% of the Italian and 90.7% of the Spanish sample were female. The mean age was 36.5 and 45.2 years old in the Italian and Spanish sample respectively. Six clusters of nurses were identified in Spain and four in Italy. Three clusters were similar among the two populations. Similar significant associations between age, years of work, attitudes towards nursing diagnosis, intentions to make nursing diagnosis and behaviours in making nursing diagnosis and cluster membership in each population were identified. Conclusion: Belief profiles identified unique subsets of nurses that have distinct characteristics. Categorizing nurses by belief patterns may help administrators and educators to tailor interventions aimed at improving nursing diagnosis use in practice. [ABSTRACT FROM AUTHOR]
- Published
- 2018
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