The aim of this research was to describe factors that influence Intensive Care Unit liaison nurses' decision to stand down a medical emergency team call response. The decision to end a medical emergency team response for a deteriorating patient is referred to as the medical emergency team call stand-down decision. Intensive Care Unit liaison nurses, also known internationally as critical care outreach nurses, make medical emergency team call stand-down decisions in complex and challenging clinical environments. However, the factors influencing these decisions are not well described in the literature.
Exploratory descriptive qualitative study.
Seven Intensive Care Unit liaison nurses who attended medical emergency team calls in a large acute metropolitan tertiary referral public hospital, with a mature three-tiered rapid response system, were observed and interviewed. Observations of 50 medical emergency team call responses and 50 post medical emergency team call interviews were conducted between March 2022 and August 2022. Findings were analysed using inductive content analysis.
Intensive Care Unit liaison nurse decisions to stand down MET call responses were influenced by three intrinsic factors: (1) propositional knowledge, (2) experiential knowledge, (3) situational knowledge and information processing styles. Intensive Care Unit liaison nurses utilised these intrinsic factors to support their decision to terminate medical emergency team call response.
This study explored the intrinsic influences on individual Intensive Care Unit liaison nurses in deciding to end a medical emergency team call. By highlighting these individual influences on decision-making, the findings may be used to support medical emergency team responders educational needs and identification of potential heuristics and biases inherent in clinical decision-making which contribute to adverse events.
No patient or public contribution.
By understanding the influences on an individual's clinical decision-making, strategies can be put in place for educational development and support for experiential learning. The study highlights areas of potential bias and heuristic use that may lead to sub-optimal clinical decisions and increased risk for deteriorating patients. Research findings can be applied internationally to a range of rapid response systems and critical care outreach teams that respond to deteriorating patients.
The consolidated criteria for reporting qualitative research (COREQ) guidelines were used for reporting this study.
To clarify the definition and evolution of Patient and Public Involvement and Engagement (PPIE) and identify its attributes, antecedents, and consequences in health-related research.
This study follows Rodgers' evolutionary concept analysis with a seven-step framework.
Datasets were searched using terms related to PPIE and key categories (i.e., attributes, antecedents, and consequences). Data were sourced from CINAHL, PsycInfo, Scopus, PubMed, and Web of Science covering publications from inception to October 31, 2024. Document titles, abstracts, and keywords were manually screened to identify relevant studies for full-text review.
A total of 1751 documents were screened, resulting in 38 eligible studies included in the final analysis. PPIE has evolved from a narrow focus on patient inclusion and participation, where patients had minimal influence on research and researchers resisted sharing control of research, to a collaborative model emphasising sustained partnerships, shared contributions, equitable power distribution, and active involvement across research stages. This shift has been driven by research innovation, a growing emphasis on healthcare equity and patient-centred care, technological advances, and stakeholder advocacy (e.g., patients, funders, ethics committees). While PPIE enhances research relevance and impact, barriers, such as resource constraints, power imbalances, patient limited research capabilities and increased researcher workload persist. Facilitators, such as training programmes, standardised guidelines, flexible arrangements and transparent communication can enable meaningful partnerships.
The concept of PPIE is evolving toward greater clarity and consistency in research, positioning patients and the public as active, essential contributors rather than passive participants. Barriers and facilitators were identified to inform its utilisation in research.
This study clarifies the conceptual ambiguities of PPIE, informs theory development, and provides actionable insights. Healthcare and nursing researchers can draw on its findings to utilise PPIE to enhance collaborative and inclusive research practices that align with the needs of patients and the public.
This study adheres to the PRISMA (2020) reporting guidelines for systematic reviews.
One of our co-authors is a patient with lived experience of cancer, who contributed valuable comments and suggestions to enhance this paper.
To discuss the multi-centre qualitative methodology as a unique design, articulate its guiding paradigm/theoretical perspectives, and highlight its methodological and methodical issues. A secondary objective is to generate further scholarly discourse regarding the multi-centre approach within the broader qualitative research tradition.
Methodological discussion.
Rather than an emphasis on only experiences, the multi-centre approach is presented as a unique design which also focuses on uncovering why a phenomenon or problem exists and perceptions regarding the phenomenon/problem. With its focus on capturing multiple subjective realities, the multi-centre qualitative design is arguably underpinned by pragmatist constructivism which offers a robust framework for researching phenomenon in a way that is both theoretically informed and practically relevant. Methodologically, the multi-centre qualitative research design emphasises a problem-centred enquiry, collaborative approach and rigorous study protocols, systematic site selection, contextual immersion and sensitivity and methodical flexibility.
With the rapidly evolving nursing and global health landscape, the multi-centre design lends itself to exploring and capturing perceptions on a larger scale compared to single site studies. Careful planning, availability of adequate resources, rigorous protocols and quality assurance plans are critical to ensuring its success.
The multi-centre approach offers the possibility of undertaking the same study across multiple settings/locations which has the potential to improve representation and strengthen transferability.
This methodological discussion offers clarity regarding the use of the multi-centre approach and offering strategies for its subsequent uptake in nursing and healthcare research.
Not applicable.
No patient or public contribution.
To discuss the dyadic and triadic interviewing techniques as distinct approaches to data collection in qualitative research.
Methodological/methodical discussion.
Underpinned by a layered theoretical basis involving interpretivism, social constructivism and symbolic interactionism, dyadic and triadic interviewing approaches represent a tapestry that seeks to illuminate not only what participants think at the individual level, but also how they think together to generate shared, nuanced meanings. Key methodical considerations include participant recruitment and selection to form the dyads or triads, ethical issues, navigating power dynamics, determining saturation at the dyad or triad level and shifting the unit of analysis from the individual level to the dyad or triad level. Notable challenges to using these approaches include logistical complexity, ethical risks and the great need for skilled moderation.
Dyadic and triadic interviewing techniques occupy a vital methodological niche in qualitative studies, particularly within the contexts of health and social care research where relational dynamics and collaborative decision-making are central. By foregrounding co-constructed narratives and real-time interactions, dyadic and triadic interviewing techniques illuminate the interplay of individual agency, power asymmetries and cultural norms, offering insights that transcend the limitations of individual interviews or focus groups.
The increasing complexity of care, treatment pathways, recovery and family-centered decision making warrants engagement beyond individual interviews. Dyadic and triadic interview techniques facilitate this by combining the in-depth benefit of individual interviews and shared interpretations of focus group discussions to capture meanings and experiences.
This methodological/methodical discussion offers clarity to employing dyadic or triadic interviewing approaches to improve their uptake in health and social care research.
Not applicable.
No patient or public contribution.
To investigate the effects of the Family-Centred Empowerment Model on informal caregivers on individuals with chronic diseases.
The Family-Centred Empowerment Model may help address informal caregivers' challenges in chronic disease management, including caregiver burden. However, its effectiveness for informal caregivers of chronic disease patients remains unclear.
Systematic review and meta-analysis of randomised controlled trials and quasi-experimental studies.
The review followed the PRISMA 2020 guidelines. A comprehensive search was conducted in EMBASE, PubMed, Cochrane Library, Web of Science, CINAHL, CNKI, SinoMed and Wanfang Data from their inception to January 2024. Two investigators independently evaluated study quality using the Cochrane Risk of Bias Tool and the Joanna Briggs Institute checklist.
This review included 22 studies. The meta-analysis demonstrated that the Family-Centred Empowerment Model significantly reduced caregiver burden, stress and anxiety. Subgroup analyses further revealed a positive effect on reducing caregiver burden across both paediatric and adult patient populations. Additionally, the intervention's effect on caregiver burden remained significant for 1–3 months following the intervention. While the model did not significantly affect the pooled outcome for care ability, subgroup analyses indicated that the model was more effective at improving care ability 3 weeks post-intervention compared to immediately after the intervention.
The Family-Centred Empowerment Model for informal caregivers of chronic disease patients may help reduce caregiver burden, stress and anxiety, while gradually improving care ability. However, it has no significant effect on depression or family function.
The review provides valuable evidence to guide clinicians in implementing the Family-Centred Empowerment Model for informal caregivers of chronic disease patients. By applying this model, caregivers can reduce burdens, stress and anxiety while enhancing their care abilities.
As a systematic review and meta-analysis, these details did not apply to our work.
PROSPERO (CRD42024505357)
The concept of health equity by design encompasses a multifaceted approach that integrates actions aimed at eliminating biased, unjust, and correctable differences among groups of people as a fundamental element in the design of algorithms. As algorithmic tools are increasingly integrated into clinical practice at multiple levels, nurses are uniquely positioned to address challenges posed by the historical marginalization of minority groups and its intersections with the use of “big data” in healthcare settings; however, a coherent framework is needed to ensure that nurses receive appropriate training in these domains and are equipped to act effectively.
We introduce the Bias Elimination for Fair AI in Healthcare (BE FAIR) framework, a comprehensive strategic approach that incorporates principles of health equity by design, for nurses to employ when seeking to mitigate bias and prevent discriminatory practices arising from the use of clinical algorithms in healthcare. By using examples from a “real-world” AI governance framework, we aim to initiate a wider discourse on equipping nurses with the skills needed to champion the BE FAIR initiative.
Drawing on principles recently articulated by the Office of the National Coordinator for Health Information Technology, we conducted a critical examination of the concept of health equity by design. We also reviewed recent literature describing the risks of artificial intelligence (AI) technologies in healthcare as well as their potential for advancing health equity. Building on this context, we describe the BE FAIR framework, which has the potential to enable nurses to take a leadership role within health systems by implementing a governance structure to oversee the fairness and quality of clinical algorithms. We then examine leading frameworks for promoting health equity to inform the operationalization of BE FAIR within a local AI governance framework.
The application of the BE FAIR framework within the context of a working governance system for clinical AI technologies demonstrates how nurses can leverage their expertise to support the development and deployment of clinical algorithms, mitigating risks such as bias and promoting ethical, high-quality care powered by big data and AI technologies.
As health systems learn how well-intentioned clinical algorithms can potentially perpetuate health disparities, we have an opportunity and an obligation to do better. New efforts empowering nurses to advocate for BE FAIR, involving them in AI governance, data collection methods, and the evaluation of tools intended to reduce bias, mark important steps in achieving equitable healthcare for all.
To examine the effects of virtual reality-based cognitive interventions on cognitive function and activities of daily living among stroke patients, and to identify the optimal design for such intervention.
Systematic review and meta-analysis.
Medline, EMBASE, Cochrane, CINANL, JBI-EBP and Web of Science from inception to October 2023.
Methodological quality was assessed by Risk of Bias Tool. Meta-analyses were assessed by Review Manager 5.4. Subgroup analyses were conducted to explore the influence of study design. Grading of Recommendations Assessment, Development and Evaluation approach was adopted to assess the certainty of evidence.
Twenty-five randomized controlled trials (1178 participants) were included. Virtual reality-based cognitive interventions demonstrated moderate-to-large effects in improving global cognitive function (SMD = 0.43; 95% CI [0.01, 0.85]), executive function (SMD = 0.84; 95% CI [0.25, 1.43]) and memory (SMD = 0.65; 95% CI [0.15, 1.16]) compared to control treatments. No significant effects were found on language, visuospatial ability and activities of daily living. Subgroup analyses indicated one-on-one coaching, individualized design and dynamic difficulty adjustment, and interventions lasting ≥ 6 weeks had particularly enhanced effects, especially for executive function.
Virtual reality-based cognitive interventions improve global cognitive function, executive function and memory among stroke patients.
This review underscores the broad cognitive advantages offered by virtual technology, suggesting its potential integration into standard stroke rehabilitation protocols for enhanced cognitive recovery.
The study identifies key factors in virtual technology interventions that effectively improve cognitive function among stroke patients, offering healthcare providers a framework for leveraging such technology to optimize cognitive outcomes in stroke rehabilitation.
PRISMA 2020 statement.
CRD42022342668.
Outcomes associated with rapid response teams (RRTs) are inconsistent. This may be due to underlying facilitators and barriers to RRT activation that are affected by team leaders and health systems.
The aim of this study was to synthesize the published research about facilitators and barriers to nurse-led RRT activation in the United States (U.S.).
A systematic review was conducted. Four databases were searched from January 2000 to June 2023 for peer-reviewed quantitative, qualitative, and mixed methods studies reporting facilitators and barriers to RRT activation. Studies conducted outside the U.S. or with physician-led teams were excluded.
Twenty-five studies met criteria representing 240,140 participants that included clinicians and hospitalized adults. Three domains of facilitators and barriers to RRT activation were identified: (1) hospital infrastructure, (2) clinician culture, and (3) nurses' beliefs, attributes, and knowledge. Categories were identified within each domain. The categories of perceived benefits and positive beliefs about RRTs, knowing when to activate the RRT, and hospital-wide policies and practices most facilitated activation, whereas the categories of negative perceptions and concerns about RRTs and uncertainties surrounding RRT activation were the dominant barriers.
Facilitators and barriers to RRT activation were interrelated. Some facilitators like hospital leader and physician support of RRTs became barriers when absent. Intradisciplinary communication and collaboration between nurses can positively and negatively impact RRT activation. The expertise of RRT nurses should be further studied.