Mode
Text Size
Log in / Sign up

Psychological capital, research competence, and social support correlate negatively with ICU nurse burnoutSupport and skills help reduce burnout in ICU nurses

AI-generated summary of the cited source, checked by automated accuracy review. How we work

Key Takeaway
Note that higher psychological capital, research competence, and social support are associated with lower ICU nurse burnout.

This meta-analysis synthesized data from 31 studies involving a population of 8,219 ICU nurses in China to examine the relationship between burnout and three specific factors: psychological capital, research competence, and social support. The analysis focused on identifying correlations between these variables to inform future intervention strategies.

The results showed significant negative correlations across all three domains. Burnout was negatively correlated with psychological capital (r = -0.43; 95% CI: -0.53 to -0.33), research competence (r = -0.21; 95% CI: -0.30 to -0.11), and social support (r = -0.40; 95% CI: -0.49 to -0.28). These findings indicate that higher levels of psychological capital, research competence, and social support are associated with lower levels of burnout among ICU nurses.

The authors noted that the overall methodological quality of the included studies was moderate. Because the results are based on Pearson correlation coefficients, they indicate associations rather than direct causation. These findings may provide a basis for developing targeted interventions to improve nurse well-being in intensive care settings.

How this fits prior evidence

This meta-analysis addresses a gap in understanding specific psychological and social correlates of burnout among ICU nurses. It complements existing evidence regarding the impact of VR interventions on stress and anxiety in healthcare workers and the organizational drivers of burnout in public safety personnel by identifying specific individual and social factors, such as research competence and social support, that correlate with nurse burnout.

Working in an intensive care unit is incredibly demanding. Nurses face high-pressure situations every day, which often leads to burnout. This study looked at how specific factors like social support and personal competence affect the well-being of over 8,000 ICU nurses in China.

The findings show a clear link between these resources and lower burnout. Specifically, having strong social support and higher levels of psychological capital—which is a person's inner strength and confidence—were tied to lower stress. Research competence also showed a connection to lower burnout levels among the staff.

While these results are promising for creating better support programs, it is important to remember that the study shows correlations rather than direct cause and effect. The quality of the original research used in this analysis was moderate, but it provides a helpful starting point for improving workplace support.

What this means for you:
Stronger social support and personal confidence are linked to lower burnout levels in intensive care nurses.

Common questions

What factors help reduce burnout for ICU nurses?

The study found that three main things are linked to lower burnout: social support, research competence, and psychological capital. Psychological capital refers to a nurse's inner strength and confidence. All three of these factors showed a significant negative correlation with burnout levels in the group of 8,219 nurses.

How strong was the link between social support and burnout?

There was a significant negative correlation between social support and burnout. This means that as social support increased, burnout levels tended to decrease. The study measured this with an effect size of r = -0.40 among the nurses surveyed.

What is psychological capital in this context?

Psychological capital refers to a person's internal resources, like confidence and resilience. The study found that higher levels of these traits were significantly linked to lower burnout scores (r = -0.43) for the ICU nurses involved in the research.

Study Details

Study typeMeta analysis
EvidenceLevel 1
PublishedJul 2026
View Original Abstract ↓
BackgroundBurnout is prevalent among nurses, particularly in Intensive Care Units (ICUs), where work is characterized by high intensity, high risk, and heavy workloads. This condition not only directly impairs nurses’ physical and mental health and reduces their occupational retention rate but may also threaten the safety of ICU patients due to potential declines in the quality of nursing care. Given these implications, effective alleviation of burnout among ICU nurses is essential for promoting their well-being, stabilizing the nursing workforce, and improving patient satisfaction. Previous studies have explored various variables related to burnout among ICU nurses, such as psychological capital, social support, work–family conflict, and moral distress. However, these findings remain inconsistent and fragmented across studies. To date, a comprehensive quantitative synthesis of the correlations between these variables and burnout among ICU nurses is lacking. Therefore, this study conducted a meta-analysis based on Pearson correlation coefficients to examine the correlates of burnout among ICU nurses, aiming to provide more reliable evidence for the development of targeted intervention strategies for this population.MethodsDatabases including CNKI, Wanfang Database, VIP Database, China Biomedical Literature Database (CBM), PubMed, Web of Science, Embase, CINAHL, and Cochrane Library were systematically searched. The search used terms for intensive care units, nurses, burnout, and China in both Chinese and English. The search was conducted from the inception of the database to September 2025. Two researchers with expertise in evidence-based practice performed the literature search, independently screened studies based on the inclusion and exclusion criteria, assessed the quality of the included studies using the Agency for Healthcare Research and Quality (AHRQ)’s quality assessment criteria for observational studies, and extracted relevant data. A meta-analysis was conducted using RevMan 5.4 software, with Pearson correlation coefficients (r values) as the outcome indicator.ResultsA total of 31 studies were included, with a combined sample size of 8,219 participants, and the overall methodological quality of the included studies was moderate. The pooled analysis indicated that burnout was significantly negatively correlated with psychological capital (r = −0.43, 95% CI: −0.53 to −0.33, I2 = 81%), research competence (r = −0.21, 95% CI: −0.30 to −0.11, I2 = 0%), and social support (r = −0.40, 95% CI: −0.49 to −0.28, I2 = 82%) (p 
Free Newsletter

Clinical research that matters. Delivered to your inbox.

Join thousands of clinicians and researchers. No spam, unsubscribe anytime.