Systematic ReviewResearch

Social-emotional learning tracked with better adaptation, communication, and clinical performance in nursing students

Nurse education today (PubMed)Jun 6, 2026

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Brief summary

A systematic review of 18 studies found that social and emotional learning in nursing education was consistently associated with better adaptation, communication, leadership, and clinical performance, though responsible decision-making and self-awareness remained understudied.

What NurseJet pulled from the source

This systematic review, following Joanna Briggs Institute and PRISMA methods, searched eight databases through June 2025 and included 18 studies involving 2,952 participants, a mix of quasi-experimental, descriptive quantitative, qualitative, and mixed-methods designs, using the Collaborative for Academic, Social, and Emotional Learning (CASEL) framework. Relationship skills and self-management, emphasizing teamwork, communication, and stress regulation, were the most frequently studied competencies, while self-awareness, social awareness, and especially responsible decision-making were underexplored. Across the studies, social and emotional learning was consistently associated with enhanced adaptation, communication, leadership, relationships, and clinical performance. Effective teaching strategies included blended learning, simulation, reflective activities, and mentorship, which the authors note align with Generation Z learners' preferences.

Why this matters for nurses

As Generation Z nurses enter the workforce, the skills that make bedside practice safe (communicating clearly, regulating stress, working as a team, and reasoning through ethical decisions) are increasingly taught explicitly rather than left to chance. This review suggests structured social and emotional learning is associated with those outcomes, and points to a gap: the competency most tied to ethical decision-making, responsible decision-making, is the least studied.

Bedside takeaway

Worth knowing that social and emotional learning in nursing education tracked with better adaptation, communication, leadership, and clinical performance, while ethical decision-making remains the least studied skill.

Key takeaways

Across 18 studies and 2,952 participants, social and emotional learning was consistently associated with better adaptation, communication, leadership, relationships, and clinical performance.
Relationship skills and self-management (teamwork, communication, and stress regulation) were the most studied competencies.
Self-awareness, social awareness, and especially responsible decision-making, important for ethical reasoning, were underexplored.
Blended learning, simulation, reflective activities, and mentorship emerged as effective strategies aligned with Generation Z learners.

Practice implications

For nurses who precept or mentor, the review supports investing in the relational and stress-regulation skills of newer staff through reflective conversations, simulation debriefs, and mentorship rather than focusing only on technical checklists. It also flags responsible decision-making, ethical reasoning under pressure, as an area where formal support is thin, worth attention when onboarding new graduates onto the unit.

Limitations & cautions

The review combined quasi-experimental, descriptive, qualitative, and mixed-methods studies and reported a narrative synthesis rather than pooled effect sizes, so the associations described are not quantified and cannot establish that social and emotional learning causes better outcomes. Evidence was uneven across competencies, with responsible decision-making and self- and social awareness sparsely studied, and the included research varied in design and quality.
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Citations

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Nurse education today (PubMed)

Nurse education today (PubMed). Advancing nursing education through social and emotional learning: A systematic review guided by the Collaborative for Academic, Social, and Emotional Learning framework.

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https://pubmed.ncbi.nlm.nih.gov/42296902/

Professional education only

This summary does not replace clinical judgment, facility policy, provider orders, or official guidelines. Verify practice changes against the original source and local protocol.

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Worldviews on evidence-based nursing (PubMed)Oct 1, 2026Systematic Review

A systematic review and meta-analysis of hospital sensor-based fall prevention systems found no significant overall reduction in falls or injuries, but machine-learning systems and mandatory implementation significantly lowered fall rates.

Med-Surg GeriatricsAI summaryReview source

Systematic ReviewResearchQuality ImprovementWorkflowAI summary · original source linked below

Hospital falls remain a pervasive cause of patient injury, extended length of stay, and nursing alarm fatigue. This systematic review and meta-analysis synthesized evidence from 16 interventional studies (seven pooled in meta-analysis) across MEDLINE, Embase, CINAHL, CENTRAL, and Web of Science evaluating sensor-based fall prevention technologies in hospital units. Using random-effects models with the Paule-Mandel estimator and Hartung-Knapp-Sidik-Jonkman adjustment, sensor systems overall demonstrated no statistically significant reduction in fall rates (incidence rate ratio [IRR] 0.77; 95% CI 0.38–1.58; I² = 92%), number of fallers (odds ratio 1.24; 95% CI 0.76–2.02; I² = 73%), or fall-related injuries (IRR 0.98; 95% CI 0.81–1.18; I² = 0%). However, subgroup analysis revealed that advanced machine learning-based sensor systems significantly reduced fall rates (IRR 0.50; 95% CI 0.32–0.79), whereas conventional rule-based sensors showed no effect. Mandatory unit-wide implementation was also associated with significantly reduced fall rates (IRR 0.51; 95% CI 0.37–0.70). Overall GRADE evidence certainty ranged from very low to low.

Key takeaways

Meta-analysis of 16 hospital studies found sensor-based fall systems overall did not significantly reduce fall rates (IRR 0.77) or injuries (IRR 0.98).
Machine learning-based sensor systems significantly cut inpatient fall rates by 50% (IRR 0.50, 95% CI 0.32–0.79).
Traditional rule-based pressure sensors showed no significant benefit on fall incidence.
Mandatory unit-wide sensor implementation was associated with a significant fall rate reduction (IRR 0.51, 95% CI 0.37–0.70), but not fewer fallers.

Why this matters on shift

Hospital bed and chair alarms are ubiquitous on med-surg and geriatric units, but frequently generate high false-alarm burdens and alert fatigue without clearly preventing patient harm. Demonstrating that conventional sensors fail to reduce falls while AI/machine-learning systems and unit-wide compliance halve fall rates informs hospital technology investments and nursing safety protocols.

Bedside takeaway

A meta-analysis found hospital sensor alarms overall did not reduce falls (IRR 0.77) or injuries (IRR 0.98), though machine-learning sensors significantly reduced fall rates by 50% (IRR 0.50).

Nursing implications

Do not rely on standard pressure sensor alarms as standalone fall prevention; pair technology with intentional rounding, assisted toileting, and environmental safety checks. When modern predictive or machine-learning sensors are deployed, adhere strictly to unit operational protocols to realize preventative benefits.

Limitations & cautions

High statistical heterogeneity among included trials (I² up to 92%); only seven studies eligible for statistical pooling; overall certainty of evidence rated very low to low under GRADE criteria.
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Citations · exact source links

Worldviews on evidence-based nursing (PubMed). Effectiveness of Sensor-Based Fall Prevention Systems in Hospitals: A Systematic Review and Meta-Analysis.

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Critical care medicine (PubMed)Oct 1, 2026Research Article

A multicenter randomized controlled trial across three hospitals found that deploying specialized nurse communication facilitators during and after an ICU admission did not reduce family member depressive symptoms over 6 months.

ICU Med-SurgAI summaryReview source

Research ArticleResearchQuality ImprovementWorkflowAI summary · original source linked below

Family members of critically ill patients frequently experience severe psychological distress, fragmented communication during handoffs, and difficulties achieving care aligned with patient values. This multicenter randomized controlled trial evaluated a structured nurse communication facilitator intervention across three hospitals in Seattle, Washington. Investigators enrolled 449 ICU patients with chronic life-limiting illness or high hospital mortality risk (>15%) and 505 family members, randomized at the patient level to standard care (n = 224) or intervention (n = 225). Nurse communication facilitators were trained to support, model, and coach communication strategies to promote goal-concordant care throughout the ICU stay and for three months post-randomization. The primary outcome was family member depression measured by the Hospital Anxiety and Depression Scale (HADS) over six months. Mean HADS-depression scores declined over time in both groups (baseline 7.2 vs 5.9 at 6 months), with no statistically significant difference between groups (mean difference -0.07; 95% CI -0.70 to 0.55). Small secondary improvements favored the intervention for relationship with the healthcare team (p = 0.0162) and goal concordance (p = 0.0504), but effect sizes were modest.

Key takeaways

Multicenter trial randomized 449 critically ill patients and 505 family members across three hospital centers.
Dedicated nurse communication facilitators engaging families for 3 months post-ICU did not significantly reduce 6-month depression (difference -0.07; 95% CI -0.70 to 0.55).
Family depressive symptoms declined equally over time in both intervention and standard care arms (from 7.2 to 5.9).
Secondary endpoints showed modest positive gains in relationship with the care team (p = 0.0162) and goal concordance (p = 0.0504).

Why this matters on shift

ICU bedside nurses invest substantial time providing emotional support and interpreting complex clinical updates for grieving families. This rigorous trial demonstrates that standalone nurse communication facilitators do not prevent post-intensive care depression, indicating that psychological morbidity requires broader multidisciplinary mental health support rather than communication coaching alone.

Bedside takeaway

In a multicenter RCT of 505 family members of ICU patients, nurse communication facilitators did not reduce 6-month depression scores (-0.07 difference, 95% CI -0.70 to 0.55), despite modest gains in team trust.

Nursing implications

Maintain empathetic, goal-aligned bedside communication during daily interprofessional rounds, but recognize the limits of communication interventions alone in preventing family depression; advocate for early palliative care, social work, and formal psychological support referrals for high-distress families.

Limitations & cautions

Conducted within a single regional health system; high attrition in questionnaire response rates at 6 months; baseline depression scores were relatively mild, potentially limiting the detectable margin of improvement.
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Citations · exact source links

Critical care medicine (PubMed). Facilitating Communication for Family Members of Critically Ill Patients During and Following a Hospital Stay: A Randomized Controlled Trial.

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Journal of emergency nursing (PubMed)Oct 13, 2026Research Article

In a randomized clinical trial of 801 adult emergency patients with minor emergencies, a nurse-led Fast Care model based on early assessment and continuity reduced waiting time by 77.6 minutes, overall length of stay by 178.1 minutes, and left-without-being-seen rates from 32.2% to 2.5%.

Emergency LeadershipAI summaryReview source

Research ArticleResearchWorkflowQuality ImprovementAI summary · original source linked below

Emergency department crowding and extended delays for low-acuity conditions frequently lead to incomplete care pathways, treatment dissatisfaction, and high rates of patients leaving without being seen. This randomized clinical trial conducted in a university hospital evaluated a nurse-led Fast Care throughput model emphasizing early comprehensive assessment and dedicated care continuity for minor emergencies. A total of 801 adult patients were randomized 1:1 to either the nurse-led Fast Care pathway or conventional usual care. Patients assigned to Fast Care experienced profound workflow improvements: waiting time decreased by 77.6 minutes, active treatment time decreased by 156.9 minutes, and overall emergency department length of stay was shortened by 178.1 minutes (nearly 3 hours). Furthermore, the care pathway was completed in nearly all Fast Care participants, with early departures prior to clinical evaluation plummeting from 32.2% in the usual care cohort to just 2.5% in the Fast Care cohort.

Key takeaways

Randomized clinical trial enrolled 801 adult patients with minor emergencies in a university hospital ED.
Nurse-led Fast Care model emphasized early structured clinical evaluation and end-to-end nursing continuity.
Fast Care shortened emergency waiting time by 77.6 minutes and overall department length of stay by 178.1 minutes.
Care completion reached near-universal rates, dropping left-without-being-seen walkouts from 32.2% to 2.5%.

Why this matters on shift

Emergency nurses routinely manage the operational strain and clinical risks associated with prolonged waiting room times and patient walkouts. Demonstrating that an autonomous, nurse-led Fast Care model significantly accelerates care completion while virtually eliminating walkouts provides strong empirical support for empowered nursing triage and throughput roles.

Bedside takeaway

In an 801-patient ED trial, a nurse-led Fast Care model for minor emergencies reduced total length of stay by 178 minutes and slashed walkouts from 32.2% to 2.5%.

Nursing implications

Consider advocating for or piloting structured nurse-led fast-track pathways for minor emergencies where triage nurses initiate early assessment protocols and maintain care continuity, mitigating waiting room congestion and unmonitored patient walkouts.

Limitations & cautions

Conducted at a single university emergency department center; focused specifically on low-acuity minor emergencies; long-term clinical and cost outcomes were not evaluated.
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Citations · exact source links

Journal of emergency nursing (PubMed). The Fast Care Model and Clinical Leadership in the Emergency Department: A Randomized Clinical Trial.

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AI-summarized from the linked source. Review the original article before applying to practice.

Key takeaways

Practice implications

Limitations & cautions

Exact source links

More updates for this clinical area

Meta-analysis of hospital sensor fall systems finds no overall fall reduction, but machine-learning sensors cut rates by 50%

Multicenter RCT finds specialized nurse communication facilitators did not reduce family depression after ICU stay

Nurse-led Fast Care model in the emergency department cuts length of stay by nearly 3 hours and drops walkouts to 2.5% in 801-patient trial