Research ArticleResearchStaffing & WellbeingQuality Improvement

Randomized trial finds online CBT-based skills program significantly reduced burnout and suicidal ideation in at-risk nurses

Worldviews on Evidence-Based Nursing (PubMed)Oct 1, 2026

AI-summarized from the linked source. Educational brief, not medical advice.

Brief summary

In a randomized controlled trial of 501 nurses across the United States, pairing digital mental health screening with the online MINDBODYSTRONG cognitive behavioral skills program led to a 30% lower risk of burnout at 6 months and sustained reductions in anxiety, depression, and suicidal ideation.

What NurseJet pulled from the source

Investigating scalable interventions for nurse distress, this nationwide RCT enrolled 501 nurses at risk for mental distress and randomized them to either confidential digital mental health screening and referral alone or screening paired with the video-based online MINDBODYSTRONG (MBS) CBT program. Participants in the intervention arm demonstrated greater reductions in depression and anxiety, along with significant improvements in healthy lifestyle behaviors and beliefs at 3 and 6 months. At 6 months post-intervention, the CBT group exhibited a significantly lower risk of burnout (RRR 0.698; 95% CI 0.528-0.929; p = 0.012) and lower risk of suicidal ideation (RRR 0.329; 95% CI 0.101-1.072). Dose-response analysis revealed that nurses completing more sessions experienced the greatest reductions in burnout and suicidal ideation.

Why this matters for nurses

High burnout, depressive symptoms, and suicidality among healthcare workers represent an urgent workforce crisis. Fear of stigma and lack of time often deter nurses from seeking traditional in-person psychological support. Demonstrating that an asynchronous, confidential, digital cognitive-behavioral skills curriculum achieves sustained 6-month reductions in burnout and suicidality provides health systems with an evidence-backed intervention to protect nursing staff.

Bedside takeaway

In 501 at-risk nurses, online CBT-based skills training significantly cut 6-month burnout risk (RRR 0.698) and reduced suicidal ideation and depressive symptoms.

Key takeaways

Randomized controlled trial enrolled 501 US nurses at risk for mental distress to evaluate the online MINDBODYSTRONG CBT program.
Intervention participants achieved significantly lower risk of burnout at 6 months post-intervention (RRR 0.698; 95% CI 0.528-0.929; p = 0.012).
Risk of suicidal ideation was lower in the intervention arm at 3 months (RRR 0.717) and 6 months (RRR 0.329).
Nurses who completed more CBT sessions and skills activities experienced the greatest reductions in suicidal ideation and burnout.

Practice implications

Healthcare organizations should establish confidential, non-punitive digital screening pathways paired with accessible cognitive behavioral skills training. Nurses feeling overwhelmed or experiencing chronic burnout should be encouraged to utilize evidence-based self-care and mental health resources before clinical distress escalates.

Limitations & cautions

Study activities were conducted remotely and relied on self-reported survey measures; participants were self-selected from healthcare systems and professional associations.
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Citations

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Worldviews on Evidence-Based Nursing (PubMed)

Worldviews on Evidence-Based Nursing (PubMed). Effects of Digital Mental Health Screening Alone and With the Online MINDBODYSTRONG CBT-Based Program on Burnout, Depression, Anxiety, Healthy Behaviors, and Suicidal Ideation in at-Risk Nurses at 3- and 6-Months Post-Intervention: An RCT.

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https://pubmed.ncbi.nlm.nih.gov/42712158/

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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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Trauma, violence & abuse (PubMed)Oct 17, 2026Systematic Review

A systematic review and meta-analysis of 20 emergency department studies encompassing 7,498 women found intimate partner violence was associated with a three-fold increased risk of suicide attempt, with psychological violence showing a stronger association than physical violence.

Emergency PsychAI summaryReview source

Systematic ReviewResearchWorkflowQuality ImprovementAI summary · original source linked below

Women experiencing intimate partner violence (IPV) and acute suicidality frequently seek medical evaluation in emergency departments (EDs), but the intersection between these two acute presentations is often overlooked during fast-paced triage. This systematic review, meta-analysis, and narrative synthesis synthesized 20 ED-based studies comprising 7,498 women across three global databases. Investigators used random-effects models and evaluated study quality with the Joanna Briggs Institute (JBI) checklist. Overall, 22% (95% CI: 11%–36%) of women presenting to the ED for suicide-related care had a history of physical IPV, while 13% (95% CI: 8%–18%) of women with known IPV histories reported active suicidality. A history of IPV was associated with a three-fold increase in the risk of suicide attempt (risk ratio [RR] 3.00; 95% CI: 1.39–6.47). Notably, psychological IPV demonstrated a stronger association with suicide risk (RR 3.23; 95% CI: 1.68–6.19) than physical IPV alone (RR 2.00; 95% CI: 1.26–3.17).

Key takeaways

Systematic review synthesized 20 emergency department studies encompassing 7,498 women.
Nearly 1 in 4 women (22%; 95% CI: 11%–36%) presenting to the ED with suicidality had experienced physical IPV.
IPV was associated with a three-fold higher risk of suicide attempt (RR 3.00; 95% CI: 1.39–6.47).
Psychological IPV showed a higher risk ratio for suicide attempts (RR 3.23; 95% CI: 1.68–6.19) than physical IPV (RR 2.00; 95% CI: 1.26–3.17).

Why this matters on shift

Emergency nurses are the primary healthcare professionals conducting universal triage, suicide risk screening (e.g., C-SSRS), and domestic violence assessments. Recognizing that nearly one-quarter of suicidal female presentations co-occur with IPV—and that non-physical, psychological abuse carries an even higher relative risk for suicide attempt—demands that ED nursing assessments integrate trauma-informed safety planning rather than treating suicidality and relationship violence in isolation.

Bedside takeaway

In an ED meta-analysis of 7,498 women, intimate partner violence tripled suicide attempt risk (RR 3.00), with psychological IPV (RR 3.23) linked more strongly than physical IPV (RR 2.00).

Nursing implications

Conduct routine IPV and suicide screenings privately away from companions or visitors, assess for emotional and psychological coercion even when physical injury is absent, and connect patients showing combined risk immediately to hospital social work, victim advocacy, and safe crisis intervention pathways.

Limitations & cautions

High between-study heterogeneity across meta-analytic models (I² > 75%); high risk of bias identified in half of the included primary studies; relied largely on cross-sectional self-reported survey measures.
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Citations · exact source links

Trauma, violence & abuse (PubMed). Intimate Partner Violence and Suicide Risk among Women Presenting to Emergency Departments: A Systematic Review, Meta-Analysis, and Narrative Synthesis.

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

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

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.

Open original sourceFull brief

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

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

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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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 20 emergency department studies links intimate partner violence to three-fold higher suicide attempt risk

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