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Purpose To develop and perform reliability and validity assessments of the international Multidimensional Nursing Generations Questionnaire. Background There are three generations of nurses in the European workforce. There is little research on the characteristics of these generations and the ways in which to manage them professionally, and no instrument has yet been developed to measure these aspects specifically. Methods With results from previous studies, 69 nursing generations-oriented items were created in English, translated into Italian and Finnish, and pretested to form the basis of an instrument that was tested between September and October 2014 on a sample of Finnish and Italian nurses ( n = 1302) using principal component analysis and Cronbach's alpha. Results Fifty-four items and eight components (Cronbach's α range: 0.61-0.81) were identified in the instrument: (1) conflicts between generations; (2) patient safety view; (3) relationships between generations; (4) working as a multigenerational team; (5) orientation to change; (6) presenteeism and job propensity; (7) intention to leave, and (8) flexibility and availability. Conclusions The instrument showed acceptable preliminary psychometric properties and satisfactory internal consistency. Implications for nursing management The Multidimensional Nursing Generations Questionnaire is a useful tool to measure the characteristics of different generations of nurses and to develop management strategies tailored to those generations. [ABSTRACT FROM AUTHOR]

Aim To test an explanatory model of nurses' intention to report adverse drug reactions in hospital settings, based on the theory of planned behaviour. Background Under-reporting of adverse drug reactions is an important problem among nurses. Methods A cross-sectional design was used. Data were collected with the adverse drug reporting nurses' questionnaire. Confirmatory factor analysis was performed to test the factor validity of the adverse drug reporting nurses' questionnaire, and structural equation modelling was used to test the explanatory model. Results The convenience sample comprised 500 Italian hospital nurses (mean age = 43.52). Confirmatory factor analysis supported the factor validity of the adverse drug reporting nurses' questionnaire. The structural equation modelling showed a good fit with the data. Nurses' intention to report adverse drug reactions was significantly predicted by attitudes, subjective norms and perceived behavioural control ( R² = 0.16). Conclusions The theory of planned behaviour effectively explained the mechanisms behind nurses' intention to report adverse drug reactions, showing how several factors come into play. Implications for nursing management In a scenario of organisational empowerment towards adverse drug reaction reporting, the major predictors of the intention to report are support for the decision to report adverse drug reactions from other health care practitioners, perceptions about the value of adverse drug reaction reporting and nurses' favourable self-assessment of their adverse drug reaction reporting skills. [ABSTRACT FROM AUTHOR]