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Falls among older adults are a major public health concern, often leading to serious outcomes such as fractures, head trauma, and increased mortality. Virtual reality (VR) interventions have emerged as a promising strategy for fall prevention by improving balance, reducing fear of falling, and enhancing confidence. However, the impact of VR interventions on specific outcomes such as fear of falling, balance, and postural control in older adults remains insufficiently synthesized.
Systematic review and meta-analysis.
A comprehensive systematic search of six databases was conducted from inception to January 20, 2025. Randomized controlled trials (RCTs) evaluating VR interventions targeting fear of falling, balance, and postural control in older adults were included. Methodological quality was assessed using the Cochrane risk-of-bias tool (RoB-2). Pooled standardized mean differences (SMDs) with 95% confidence intervals (CIs) were calculated using random-effects models for each outcome.
Seventeen RCTs involving 988 older adults, published between 2016 and 2025, met the inclusion criteria. VR interventions demonstrated significant effects in reducing fear of falling (SMD = −0.40; 95% CI: −0.72 to −0.08; I 2 = 45.10%; p = 0.02), improving balance (SMD = 0.45; 95% CI: 0.07–0.83; I 2 = 73.54%; p = 0.02), and enhancing postural control (SMD = 0.50; 95% CI: 0.13–0.86; I2 = 46.89%; p = 0.01).
This meta-analysis highlights the effectiveness of VR interventions in reducing fear of falling and improving balance and postural control among older adults.
VR represents a valuable tool in fall prevention strategies, addressing key outcomes essential for maintaining independence and mobility in this population.
Pain is a frequent post-stroke health concern, and several non-pharmacological interventions are commonly employed to manage it. However, few reviews have examined the effectiveness of such interventions, making it difficult to draw conclusions about their usefulness. Furthermore, subgroup analysis based on post-stroke pain level or intervention characteristics is rarely performed. This study aimed to investigate the effectiveness of non-pharmacological interventions and evaluate the significant factors associated with post-stroke pain through subgroup analysis.
Systematic review and meta-analysis.
Relevant studies were obtained from seven databases, from their commencement up to March 2024, as well as from the gray literature. The PICOS approach was used to evaluate the eligibility criteria of the studies. The RoB-2 tool was used to determine the risk of bias in each randomized trial. Pooled estimations of standardized mean difference and heterogeneity (quantified with I 2) were obtained using a random-effects model. The stability of the pooled result was then assessed using the leave-one-out approach. STATA 17.0 was used to run the meta-analysis.
Non-pharmacological interventions were effective in reducing pain immediately after intervention (pooled SMDs: −0.79; 95% confidence interval [CI]: −1.06 to −0.53; p < 0.001). The approach involving acupuncture, aquatic therapy, or laser therapy and rehabilitation training was effective for post-stroke hemiplegic shoulder pain. A pooled analysis of non-pharmacological interventions showed that both less than 4 weeks and more than 4 weeks of interventions were effective in alleviating pain in stroke patients.
Non-pharmacological approaches appear to be beneficial for reducing post-stroke pain. The outcomes based on the modalities merit further research.
Further studies are needed to determine the effects of different modalities on pain intensity following a stroke. Furthermore, to avoid overestimation of intervention efficacy, future randomized trials should consider blinding approaches to the interventions delivered.
Nurses increasingly use mindfulness as an effective mental health intervention to reduce psychological distress. The effectiveness of mindfulness-based interventions remains inconclusive, which may lead to implementation of interventions in an inefficient or ineffective manner. This study aimed to examine the effects of mindfulness-based interventions on reducing stress, anxiety, and depression among nurses.
Systematic review and meta-analysis.
Randomized controlled trials (RCTs) were searched using six databases published through May 20, 2023, which evaluated the effects of mindfulness-based interventions on reducing psychological distress among nurses. To assess the quality of methodology included in the RCTs, version 2 of the Cochrane risk-of-bias instrument for RCTs with five domains was used. Standardized mean difference (SMD) with 95% confidence interval (CI) were calculated using the random–effects model in the meta-analyses. Publication bias was assessed using Egger's regression test. Further, the robustness effect size of the pooled analysis was assessed using leave-one-out sensitivity analysis.
A total of 16 RCTs were included in the final analysis. Overall, the modalities appeared to alleviate stress (pooled SMD: −0.50 [95% CI: −0.82 to −0.18]; p < 0.001) and depression (pooled SMD: −0.42 [95% CI: −0.78 to −0.06]; p = 0.02) among nurses.
Mindfulness-based interventions appear to alleviate stress and depression in nurses. Future research evaluating mindfulness-based interventions among working nurses with more rigorous methodological and larger sample size.
Support for nurses' mental health must be included while implementing personal and professional development plans.
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