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AnteayerInternacionales

Effectiveness of Virtual Reality Simulation Among BSN Students: A Meta-analysis of Randomized Controlled Trials

imageThis study aimed to evaluate the effect of virtual reality simulation in nursing education in five domains: knowledge, skill performance, self-confidence, self-efficacy, and satisfaction. Randomized controlled trials were obtained from the databases SCOPUS, Web of Science, PubMed, and EBSCO from inception until September 2021. The standardized mean differences with 95% confidence intervals were determined for the main variables, and heterogeneity was analyzed using the I2 test. The PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) Checklist was used. Meta-analysis was performed using the Stata 15.0 software. Among the 2074 records identified, 18 trials were included. The meta-analysis of these trials indicated that virtual reality simulation caused a significant improvement in knowledge with a moderate effect, skill performance with a moderate effect, and satisfaction with a moderate effect compared with the control group. However, virtual reality simulation did not significantly influence self-confidence and self-efficiency. The findings of this study suggested that virtual reality simulation might significantly benefit knowledge, skill performance, and satisfaction but not self-confidence and self-efficiency. Further well-designed randomized controlled trials with a larger sample size are recommended to confirm these findings.

Reliability and validity of the revised Rushton Moral Resilience Scale for healthcare workers

Abstract

Aim

To refine the Rushton Moral Resilience Scale (RMRS) by creating a more concise scale, improving the reliability, particularly of the personal integrity subscale and providing further evidence of validity.

Background

Healthcare workers are exposed to moral adversity in practice. When unable to preserve/restore their integrity, moral suffering ensues. Moral resilience is a resource that may mitigate negative consequences. To better understand mechanisms for doing so, a valid and reliable measurement tool is necessary.

Design

Cross-sectional survey.

Methods

Participants (N = 1297) had completed ≥1 items on the RMRS as part of the baseline survey of a larger longitudinal study. Item analysis, confirmatory factor analyses, reliability analyses (Cronbach's alpha), and correlations were used to establish reliability and validity of the revised RMRS.

Results

Item and confirmatory factor analysis were used to refine the RMRS from 21 to 16 items. The four-factor structure (responses to moral adversity, personal integrity, relational integrity and moral efficacy) demonstrated adequate fit in follow-up confirmatory analyses in the initial and hold-out sub-samples. All subscales and the total scale had adequate reliabilities (α ≥ 0.70). A higher-order factor analysis supports the computation of either subscale scores or a total scale score. Correlations of scores with stress, anxiety, depression and moral distress provide evidence of the scale's validity. Reliability of the personal integrity subscale improved.

Conclusion and Implications

The RMRS-16 demonstrates adequate reliability and validity, particularly the personal integrity subscale. Moral resilience is an important lever for reducing consequences when confronted with ethical challenges in practice. Improved reliability of the four subscales and having a shorter overall scale allow for targeted application and will facilitate further research and intervention development.

Patient/Public Contribution

Data came from a larger study of Canadian healthcare workers from multiple healthcare organizations who completed a survey about their experiences during COVID-19.

Interindividual Variability in Self-Monitoring of Blood Pressure Using Consumer-Purchased Wireless Devices

imageBackground Engagement with self-monitoring of blood pressure (BP) declines, on average, over time but may vary substantially by individual. Objectives We aimed to describe different 1-year patterns (groups) of self-monitoring of BP behaviors, identify predictors of those groups, and examine the association of self-monitoring of BP groups with BP levels over time. Methods We analyzed device-recorded BP measurements collected by the Health eHeart Study—an ongoing prospective eCohort study—from participants with a wireless consumer-purchased device that transmitted date- and time-stamped BP data to the study through a full 12 months of observation starting from the first day they used the device. Participants received no instruction on device use. We applied clustering analysis to identify 1-year self-monitoring, of BP patterns. Results Participants had a mean age of 52 years and were male and White. Using clustering algorithms, we found that a model with three groups fit the data well: persistent daily use (9.1% of participants), persistent weekly use (21.2%), and sporadic use only (69.7%). Persistent daily use was more common among older participants who had higher Week 1 self-monitoring of BP frequency and was associated with lower BP levels than the persistent weekly use or sporadic use groups throughout the year. Conclusion We identified three distinct self-monitoring of BP groups, with nearly 10% sustaining a daily use pattern associated with lower BP levels.

The struggle is real—A mixed qualitative methods synthesis of challenges in nursing care in activities of daily living

Abstract

Introduction

Supporting care receivers in Activities of Daily Living (ADL), irrespective of diagnosis, setting, or cultural background, lies at the heart of fundamental nursing care. The pursuit of quality ADL care becomes increasingly challenging with the changing complexity of care needs. ADL care delivery is often undervalued and is considered a low-status task despite its crucial importance to care receivers. This study aims to synthesize challenges in ADL care irrespective of the care setting.

Methods

In the mixed qualitative methods study, we used expert panel consultations, world café sessions, and a rapid literature review. For data analysis, we simultaneously analyzed the three data sets using inductive and deductive inquiry.

Results

We identified four challenges and their corresponding subthemes. They are (1) Undervalued common-sense work versus complex, high-skilled care provision; (2) Limitations in professional reflective clinical decision-making; (3) Missed opportunities for shared ADL decisions; and (4) Meeting ADL care needs in a high-throughput system.

Conclusion

These challenges reveal the complexity of ADL care and how its paradoxical narrative relates to the conditions in which nursing professionals struggle to create opportunities, for reflective clinical reasoning and shared ADL decisions, by facing organizational and environmental barriers.

Clinical Relevance

This study is relevant to nursing professionals, care organizations, policymakers, and researchers aiming to improve ADL care and provide insights into challenges in ADL care. This study forms the starting point for a changing narrative on ADL nursing care and subsequent quality improvements in the form of, for example, guidelines for nursing professionals.

Stigma, social and structural vulnerability, and mental health among transgender women: A partial least square path modeling analysis

Abstract

Introduction

Existing literature suggests that transgender women (TW) may be at high risk for adverse mental health due to stress attributed to combined experiences of stigma and complex social and structural vulnerabilities. Little research has examined how these co-occurring experiences relate to mental health. We aimed to test a theoretically driven conceptual model of relationships between stigma, social and structural vulnerabilities, and mental health to inform future intervention tailoring.

Design/Methods

Partial least square path modeling followed by response-based unit segmentation was used to identify homogenous clusters in a diverse community sample of United States (US)-based TW (N = 1418; 46.2% White non-Hispanic). This approach examined associations between latent constructs of stigma (polyvictimization and discrimination), social and structural vulnerabilities (housing and food insecurity, unemployment, sex work, social support, and substance use), and mental health (post-traumatic stress and psychological distress).

Results

The final conceptual model defined the structural relationship between the variables of interest within stigma, vulnerability, and mental health. Six clusters were identified within this structural framework which suggests that racism, ethnicism, and geography may be related to mental health inequities among TW.

Conclusion

Our findings around the impact of racism, ethnicism, and geography reflect the existing literature, which unfortunately shows us that little change has occurred in the last decade for TW of color in the Southern US; however, the strength of our evidence (related to sampling structure and sample size) and type of analyses (accounting for co-occurring predictors of health, i.e., stigma and complex vulnerabilities, reflecting that of real-world patients) is a novel and necessary addition to the literature. Findings suggest that health interventions designed to offset the negative effects of stigma must include anti-racist approaches with components to reduce or eliminate barriers to resources that contribute to social and structural vulnerabilities among TW. Herein we provide detailed recommendations to guide primary, secondary, and tertiary prevention efforts.

Clinical Relevance

This study demonstrated the importance of considering stigma and complex social and structural vulnerabilities during clinical care and design of mental health interventions for transgender women who are experiencing post-traumatic stress disorder and psychological distress. Specifically, interventions should take an anti-racist approach and would benefit from incorporating social support-building activities.

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