ObjectiveTo investigate whether the daily workload per nurse (Oulu Patient Classification (OPCq)/nurse) as measured by the RAFAELA system correlates with different types of patient safety incidents and with patient mortality, and to compare the results with regressions based on the standard patients/nurse measure.SettingWe obtained data from 36 units from four Finnish hospitals. One was a tertiary acute care hospital, and the three others were secondary acute care hospitals.ParticipantsPatients’ nursing intensity (249 123 classifications), nursing resources, patient safety incidents and patient mortality were collected on a daily basis during 1 year, corresponding to 12 475 data points. Associations between OPC/nurse and patient safety incidents or mortality were estimated using unadjusted logistic regression models, and models that adjusted for ward-specific effects, and effects of day of the week, holiday and season.Primary and secondary outcome measuresMain outcome measures were patient safety incidents and death of a patient.ResultsWhen OPC/nurse was above the assumed optimal level, the adjusted odds for a patient safety incident were 1.24 (95% CI 1.08 to 1.42) that of the assumed optimal level, and 0.79 (95% CI 0.67 to 0.93) if it was below the assumed optimal level. Corresponding estimates for patient mortality were 1.43 (95% CI 1.18 to 1.73) and 0.78 (95% CI 0.60 to 1.00), respectively. As compared with the patients/nurse classification, models estimated on basis of the RAFAELA classification system generally provided larger effect sizes, greater statistical power and better model fit, although the difference was not very large. Net benefits as calculated on the basis of decision analysis did not provide any clear evidence on which measure to prefer.ConclusionsWe have demonstrated an association between daily workload per nurse and patient safety incidents and mortality. Current findings need to be replicated by future studies.

The aim of this study was to explore mental health nurses' experiences of caring for inpatients who self-harm during an acute phase. The setting was four psychiatric clinics in Norway. Fifteen mental health nurses (MHNs) were recruited. Semistructured interviews comprised the method for data collection, with content analysis used for data analysis. Two main categories emerged: challenging and collaborative nurse-patient relationship and promoting well-being through nursing interventions. The underlying meaning of the main categories was interpreted and formulated as a latent theme: promoting person-centered care to patients suffering from self-harm. How MHNs promote care for self-harm patients can be described as a person-centered nursing process. MHNs, through the creation of a collaborative nurse-patient relationship, reflect upon nursing interventions and seek to understand each unique patient. The implication for clinical practice is that MHNs are in a position where they can promote patients' recovery processes, by offering patients alternative activities and by working in partnership with patients to promote their individual strengths and life knowledge. MHNs strive to help patients find new ways of living with their problems. The actual study highlighted that MHNs use different methods and strategies when promoting the well-being of self-harm patients.

BackgroundPerson-centred health care has widespread recognition, but there are few instruments aimed at measuring the provision of person-centred practice among health care professionals across a range of settings. The Person-centred Practice Inventory – Staff (PCPI-S) is a new instrument for this purpose, theoretically aligned with McCormack & McCance’s person-centred framework, which has been translated and culturally adapted into Norwegian.MethodsThe study used a two-stage research design involving: translation and cultural adaption of the PCPI-S from English to Norwegian language (phase 1), and a quantitative cross sectional survey following psychometric evaluation (phase 2). Confirmatory factor analysis was used to examine the theoretical measurement model.ResultsThe translation and cultural adaption was carried out according to ten recommend steps. Discrepancies were addressed and revised by all translators until consensus was reached on a reconciled version of the translation. A sample of 258 health care staff participated in the survey. The model fit statistics were overall positive; the model requires minor modifications and these are mostly confined to correlated errors.ConclusionsThe translation and cultural adaption process of the PCPI-S from English to Norwegian language was a demanding process in order to retain the conceptual meanings of the original instrument. Overall, the psychometric properties of the tool were acceptable, but testing on a larger sample size is recommended.Electronic supplementary materialThe online version of this article (10.1186/s12913-018-3374-5) contains supplementary material, which is available to authorized users.

Aim To formulate, validate, and disseminate policy, modelling nurses' career pathway from registered to advanced practice nurse. Method The evidence‐informed policy and practice pathway framework was utilized. Multiple methods were used, including scoping review of literature, consultation of key informants, survey study, and expert group round‐table discussions during 5‐year project between 2013 and 2018. Results Through (a) sourcing, (b) using, and (c) implementing the evidence, the expert group worked systematically to formulate a policy on a career pathway from registered to advanced practice nurse. The formulated career pathway includes three competence levels: registered nurse, specialized nurse, and advanced practice nurse, which includes the roles of nurse practitioner and clinical nurse specialist. In addition, validation and dissemination of the policy, as well as its effective implementation and the process of integrating it into practice, were examined. Conclusion Evidence‐informed policymaking is an effective, interactive way to work collaboratively in achieving consensus and translating knowledge into practice. The formulated policy will contribute to the increased awareness, acknowledgement, and implementation of the registered nurses' traditional and new roles within health care environments. Implementing and integrating the policy in national health care policy, legislation, education, and organizations across the country is a work in progress.