Describing nurses' communication about evidence-based practice change: A social network analysis of hospital nurses.

BACKGROUND: Nurses play a critical role in providing evidence-based, high-quality care to optimize patient outcomes. Models from implementation science suggest social networks may influence the adoption of evidence-based practices (EBPs). However, few studies have examined this relationship among hospital nurses. Social network analysis (SNA) mathematically evaluates patterns of communication, a critical step in implementation. Exploring hospital nurses' communication networks may provide insight into influences on the adoption of EBPs. AIMS: This study aimed to describe complete communication networks of hospital nurses for practice changes on inpatient units, including upper level nursing administrators. METHODS: This descriptive, exploratory, cross-sectional study used SNA on two inpatient units from one hospital. A sociometric survey was completed by nurses (unit to executive level) regarding communication frequency about practice changes. Network-level density, diameter, average path length, centralization, and arc reciprocity were measured. Attribute data were used to explore subnetworks. RESULTS: Surveys from 148 nurses on two inpatient adult intensive care units (response rates 90% and 98%) revealed high communication frequency. Network measures were similar across the two units and among subnetworks. Analysis identified central (charge nurses and nurse leaders) and peripheral members of the network (new-to-practice nurses). Subnetworks aligned with the weekend and shift worked. LINKING EVIDENCE TO ACTION: Established communication channels, including subnetworks and opinion leaders, should be used to maximize and optimize implementation strategies and facilitate the uptake of EBPs. Future work should employ SNA to measure the impact of communication networks on promoting the uptake of EBP and to improve patient outcomes.

Psychological safety, communication openness, nurse job outcomes, and patient safety in hospital nurses.

Promoting psychological safety in a workplace is known to contribute to improved job outcomes across a wide variety of industries. This study aimed to examine the relationships between psychological safety at work and job outcomes (i.e., job satisfaction and intention to leave), and patient safety among hospital nurses; and to determine the mediating effect of communication openness on these relationships. This cross-sectional study used survey data from 867 hospital nurses working in the United States. Multiple logistic regression models and Hayes' PROCESS macro in SPSS were used. Nurses who worked in an environment with higher psychological safety levels were more likely to be satisfied in their current job, less likely to intend to leave their current job within the next year, and more likely to report favorable patient safety ratings. Communication openness mediated these relationships. When nurses feel psychologically safe at work, they are more likely to engage in open communication, which in turn can lead to greater job satisfaction, decreased turnover intention, and improved patient safety. Nurse managers should strive to develop leadership strategies that promote psychological safety in the work environment and support open communication among nurses.

Addressing Occupational Fatigue in Nurses: A User-Centered Design Approach for Fatigue Risk Management.

OBJECTIVE: To understand hospital nurses' current fatigue risk management (FRM), identify design goals and principles, and obtain feedback on FRM design concepts. BACKGROUND: FRM systems can address fatigue and associated risks, yet they are not widely implemented in hospital nursing. This may be due to a lack of contextually appropriate FRM tools. METHODS: A user-centered design approach was used, including interviews with 21 hospital nursing stakeholders. FINDINGS: Nurses described integrated fatigue monitoring and management activities to pursue balance between work demands and capacity to meet those demands as individual nurses, within the unit, across the hospital, and over time. Seven principles were identified and applied to 2 initial design concepts for tools to support FRM. Participants' feedback on designs was positive. CONCLUSIONS: This study advances the science and practice for FRM in nursing. The design principles and concepts from this study can be used to facilitate implementation of FRM systems in hospitals.

The realities of practice change: Nurses' perceptions.

AIMS AND OBJECTIVES: To explore registered nurses' perceptions of practice change and describe factors that influence the adoption of practice changes. BACKGROUND: Nurses play a critical role in optimising patient outcomes. Healthcare organisations and nurses must do their part to achieve the Quadruple Aim, which requires nurses to change their practice. Nurses are ideally positioned to improve patient outcomes by changing their practice to align it with research evidence and organisational initiatives; however, this experience of practice change by nurses is grossly under-studied. DESIGN: A qualitative design, inductive content analysis, was used to understand nurses' perceptions of practice change. METHODS: Eleven registered nurses, who worked in one hospital system, participated in one-on-one semi-structured interviews. The Consolidated Criteria for Reporting Qualitative Studies (COREQ) were followed. FINDINGS: The 11 participants described 63 distinct experiences with practice changes. Their experiences with and perceptions of practice change are categorised as (1) There is A History; (2) It's A Lot of Work; (3) It Happens to Nurses; and (4) Doing Right for the Patient. CONCLUSION: Nurses experience practice change as a central part of the work they do; it occurs frequently and multiple practice changes may co-occur. Nurses identify strategies, such as thoughtful planning, engaging nurses, and communicating the rationale for and the outcomes of the practice change, to facilitate changing practice. RELEVANCE TO CLINICAL PRACTICE: Involving nurses in practice changes could alleviate some inhibiting factors for adopting new practices. Local hospital and national policies should explore creative and practical ways to balance the competing needs of nurses providing direct care at the bedside and dedicated time to be engaged in practice change initiatives. With the ongoing focus on improving patient care and optimising patient safety, nurses should be viewed as highly valued members of the team when designing and implementing practice changes.

Changes in Fatigue Levels and Sleep Measures of Hospital Nurses During Two 12-Hour Work Shifts.

OBJECTIVE: The aims of this study were to explore nurses' fatigue levels and sleep measures during two 12-hour consecutive day shifts and examine the relationships between nurses' fatigue levels within shifts and their previous-night sleep characteristics. BACKGROUND: Monitoring changes in fatigue and sleep is important to enable effective fatigue management. METHODS: This was a descriptive, repeated-measures study. Data were collected using surveys and actigraphy 4 times during each consecutive shift (7:00 am-7:30 pm). RESULTS: General fatigue levels started trending up 4 hours after the start of work; highest levels were reported at 7:30 pm. Fatigue levels accumulated across consecutive shifts. Subjective sleep quality was higher the night before the 2nd shift than the night before the 1st shift. Nurses' poor sleep the night before a shift was related to increased fatigue levels during the next shift. CONCLUSION: It is important to consider when fatigue management interventions will be most effective and to consider previous-night's sleep when monitoring fatigue.

Predicting nurse fatigue from measures of work demands.

Fatigue arising from excessive work demands is a known safety challenge in hospital nurses. This study aimed to determine which measures of work demands during nursing work are most predictive of hospital nurse fatigue levels at the end of the work shift. Measures of work demands of registered nurses from two hospital units in the United States were collected from organizational data sources, wearable sensors, and questionnaires. Fatigue levels were measured at the start and end of each shift using the Brief Fatigue Inventory. Multilevel linear regression analysis was used to predict end of shift fatigue based on work demand variables. The best fit model included multiple variables from organizational data sources and a physical activity variable measured by a wearable sensor. Organizational data can be used to create dynamic measures of work demands as they occur and predict end of shift fatigue levels in hospital nurses.