Nursing complexity, as described by nursing diagnoses, was shown to be associated with length of stay and mortality. These results should be confirmed after considering other variables through multivariate analyses. The concept of high-frequency/high-risk nursing diagnoses should be expanded in further studies.

Purpose To investigate whether the number of nursing diagnoses on hospital admission is an independent predictor of the hospital length of stay. Design A prospective observational study was carried out. A sample of 2,190 patients consecutively admitted (from July to December 2014) in four inpatient units (two medical, two surgical) of a 1,547‐bed university hospital were enrolled for the study. Methods Data were collected from a clinical nursing information system and the hospital discharge register. Two regression analyses were performed to investigate if the number of nursing diagnoses on hospital admission was an independent predictor of length of stay and length of stay deviation after controlling for patients’ sociodemographic characteristics (age, gender), clinical variables (disease groupers, disease severity morbidity indexes), and organizational hospital variables (admitting inpatient unit, modality of admission). Findings The number of nursing diagnoses was shown to be an independent predictor of both the length of stay (β = .15; p < .001) and the length of stay deviation (β = .19; p < .001). Conclusions The number of nursing diagnoses is a strong independent predictor of an effective hospital length of stay and of a length of stay longer than expected. Clinical Relevance The systematic inclusion of standard nursing care data in electronic health records can improve the predictive ability on hospital outcomes and describe the patient complexity more comprehensively, improving hospital management efficiency.

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Vaccinations remain the most effective way of preventing infection, disease, and mortality. Public health institutions consequently recommend vaccines to target groups, including healthcare workers, who are considered to be more at risk of exposure and transmission. The aim of this cross-sectional study is to assess, through the administration of a questionnaire, the nursing staff’s knowledge and attitude towards recommended vaccinations, and to explore the effects of a training course (carried out according to the academic detailing methodology) aimed at increasing operators’ knowledge and outreach on recommended vaccinations among healthcare workers. A total of 85 HCWs (30 nursing coordinators and 55 nurses) completed the questionnaire. Results demonstrate a higher rate of agreement towards vaccinations in nursing staff answers (75%), if compared with results of other studies (62–63%). Statistically significant differences between nursing coordinators and nurses can be found. Regarding vaccination attitudes, nursing coordinators agreed in 86% of the answers on healthcare workers’ vaccination vs 70% of nurses (p < 0.001). Considering immunization for influenza, 57% of nursing coordinators vs 18% of nurses reported for vaccination (p < 0.001). Educational programs, carried out according to academic detailing methods, could impact on vaccination attitudes and raise awareness about recommended vaccinations among healthcare workers. The questionnaire is a useful tool for investigating nursing staff knowledge and attitudes towards vaccinations, and to implement strategies to promoting vaccinations among healthcare workers.

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