Search Results (3)

Background: The concept of unfinished nursing care (UNC) describes nursing interventions required by patients and families that nurses postpone or omit. UNC reasons have been documented; however, no studies have summarised the underlying factors triggering the UNC during the pandemic. Therefore, the aim was to synthesise the available studies exploring factors affecting UNC during a pandemic. Methods: We conducted an integrative review following Whittemore and Knafl’s framework according to the Reporting Items for Systematic reviews and Meta-Analyses (PRISMA) guidelines. PubMed, the Cumulative Index to Nursing and Allied Health Literature (CINAHL) and the Scopus databases were searched for primary studies that collected data from 1 January 2020 to 1 May 2023. Both qualitative and quantitative studies assessing the reasons for UNC were eligible and evaluated in their quality using the Critical Appraisal Skills Programme and the Mixed Methods Appraisal Tool. Results: Four studies were included—three qualitative and one cross-sectional. The reasons for UNC have been documented at the following levels: (a) system (e.g., new healthcare system priorities); (b) unit (e.g., ineffective work processes); (c) nurse management (e.g., inadequate nurse manager’s leadership); (d) nurse (e.g., nurses’ attitudes, competences, performances); and (e) patient (increased demand for care). Conclusion: The reasons for UNC during the COVID-19 pandemic are different to those documented in the pre-pandemic times and reflect a pre-existing frailty of the National Health Service towards nursing care. Full article

Nurses experience significant stress and emotional exhaustion, leading to burnout and fatigue. This study assessed how the nurses’ mood and fatigue evolves during their shifts, and the temporal factors that influence these phenomena. Performing a two-level design with repeated measures with moments nested into a person level, a random sample of 96 nurses was recruited. The ecological momentary assessment of demand, control, effort, reward, coping, and nursing tasks were measured in order to predict mood and fatigue, studying their current, lagged, and accumulated effects. The results show that: (1) Mood appeared to be explained by effort, by the negative lagged effect of reward, and by the accumulated effort, each following a quadratic trend, and it was influenced by previously executing a direct care task. By contrast, fatigue was explained by the current and lagged effect of effort, by the lagged effect of reward, and by the accumulated effort, again following quadratic trends. (2) Mood was also explained by problem-focused and emotion-focused coping strategies, indicative of negative mood, and by support-seeking and refusal coping strategies. (3) Fatigue was also associated with direct care and the prior effect of documentation and communication tasks. We can conclude that mood and fatigue do not depend on a single factor, such as workload, but rather on the evolution and distribution of the nursing tasks, as well as on the stress during a shift and how it is handled. The evening and night shifts seem to provoke more fatigue than the other work shifts when approaching the last third of the shift. These data show the need to plan the tasks within a shift to avoid unfinished or delayed care during the shift, and to minimize accumulated negative effects. Full article

Purpose: The purpose of this study is to test the mediation effect of rationing of nursing care (RONC) and the relationship this has between nurse staffing and patient outcomes. Methods: The analytic sample included 7802 nurse surveys and 5430 patient surveys. Three patient outcome indicators, nurse staffing, RONC, and confounding factors were considered in the model pathways. Results: The hypothesized model was shown to be statistically significant. In the model, nurses who were in the units with lower nurse-to-patient ratios reported higher scores on RONC, which meant that an increased level of withheld nursing care or a failure to carry out nursing duties was apparent. Nurses who reported a higher score on RONC, scored poorly on the quality assessment and were more frequently involved in patient adverse events. Nurse staffing influenced quality assessments and patient adverse events through RONC. In units with poorer nurse-reported quality assessments or more frequently patient adverse events, patient-reported dissatisfaction scores were higher. Conclusions: The results suggest that a lack of nurse staffing leads to RONC, which leads to poorer patient outcomes. These results are seen when considering the evaluations completed by both nurses and patients. The relationship between staffing numbers and patient outcomes explains the mediating role of RONC. Full article