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Investigations about the interrelationships of nurses' safety climate, quality of care, and standard precautions (SP) adherence and compliance remain particularly scarce in the literature. Thus, we tested a model of the associations between nurses' safety climate, quality of care, and the factors influencing adherence and compliance with SPs utilizing the structural equation modeling (SEM) approach.
Cross-sectional design complying with STROBE guidelines.
Using convenience sampling, nurses (n = 730) from the Philippines were recruited. Data were collected between April and September 2022 using four validated self-report measures. Spearman Rho, mediation and path analyses, and SEM were employed for data analysis.
Acceptable model fit indices were shown by the emerging model. The safety climate is positively associated with quality of care and factors influencing adherence to and compliance with SPs. Quality of care directly affected factors influencing adherence to SPs. The factors influencing adherence to SPs directly affected SP compliance. Quality of care mediated between safety climate and the factors influencing adherence to SPs. Factors influencing adherence to SPs mediated between safety climate, quality of care, and SP compliance.
The study's variables are not distinct but overlapping nursing concepts that must be examined collectively. Nurse administrators can utilize the emerging model to formulate strategies and regulations for evaluating and enhancing nurses' safety climate, quality of care, and SP adherence and compliance.
Our findings may impact policymaking, organizational, and individual levels to improve nurses' clinical practice.
This study had no patient contribution or public funding.
Using software for self-management interventions can improve health outcomes for individuals with low back pain, but there is a dearth of research to confirm its effectiveness. Additionally, no known research has evaluated the effective elements of software-based interventions for low back pain self-management components. This study aimed to synthesize the effectiveness of software-based interventions to promote self-management health outcomes among individuals with low back pain.
A systematic review and meta-analysis was conducted.
Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Statement, relevant studies up to July 2022 were searched via four electronic databases: PubMed, Embase, Cumulative Index to Nursing and Allied Health Literature, and Web of Science.
4908 adults with low back pain who participated in 23 studies were included. Software-based interventions were effective in reducing fear avoidance (mean difference [MD] = −0.95, 95% CI: −1.45 to −0.44), pain catastrophizing (MD = −1.31, 95% CI: −1.84 to −0.78), disability (MD = −8.21, 95% CI: −13.02 to −3.39), and pain intensity (MD = −0.86, 95% CI: −1.17 to −0.55). Specifically, interventions that included an exercise component were more effective in reducing pain and disability. Additionally, cognitive behavioral therapy (CBT) intervention significantly reduced fear avoidance and pain catastrophizing but had no noticeable impact on disability and pain compared to standard treatment. The certainty of the evidence in this review varied from very low to high across outcomes. The heterogeneity of the study results was significant, suggesting that future studies in this area could optimize the design, time points, measures, and outcomes to strengthen the evidence.
Low back pain self-management interventions delivered through software-based programs effectively reduce pain intensity, disability, fear avoidance, and pain catastrophizing.
Low back pain is among the most common reasons for seeking healthcare visits. Combining exercise and counseling through soft-based programs may effectively address this issue and its associated suffering and disability.
The purpose of this study was to identify coping strategies, resources, and strengths that predict well-being in a community-based sample of youth with varying levels of adversity.
Grounded in the resilience portfolio model, we used a mixed methods approach with data from a cross-sectional sample of 231 youth ages 8–17.
Data were collected using a survey, participant-generated timeline activity, and brief interview. Measures included assessments of coping and appraisal, resilience resources and assets, and subjective well-being and depression.
Active and passive coping strategies predicted subjective well-being and depression. Controlling for demographics and coping, meaning making strengths and supportive relationships were significant predictors of subjective well-being and lower depression, and decreased the impact of adversity on these outcomes.
The results of this study provide support for the resilience portfolio model in a community-based sample of youth, with relationships as predicted for subjective well-being and symptoms of depression. For both outcomes, family relationships held the strongest associations with positive well-being and lower symptoms of depression. Supportive relationships with peers, meaning making strengths, interpersonal strengths, less passive coping, and fewer adverse life events were also associated with better outcomes.
These findings underscore the need to assess youth resources and strengths and to design interventions that target these protective factors for all youth, regardless of exposure to adversity.
A theory-informed understanding of resources and strengths that predict youth well-being is essential to inform strengths-based interventions for pediatric research and practice. The resilience portfolio model is a useful framework for understanding predictors of youth well-being.
To explore the impact of 12 American Nurses Association recognized standardized nursing terminologies (SNTs) on patient and organizational outcomes.
Previous studies reported an effect of SNTs on outcomes, but no previous frameworks nor meta-analyses were found.
Systematic review and meta-analyses.
PubMed, Scopus, CINAHL, and OpenGrey databases were last consulted in July 2021. All abstracts and full texts were screened independently by two researchers. The review included primary quantitative studies that reported an association between recognized SNTs and outcomes. Two reviewers independently assessed the risk of bias and certainty of evidence for each meta-analyzed outcome using the “Grading of Recommendations, Assessment, Development and Evaluation” (GRADE) approach.
Fifty-three reports were included. NANDA-NIC-NOC and Omaha System were the most frequently reported SNTs used in the studies. Risk of bias in randomized controlled trials and not-randomized controlled trials ranged from high to unclear, this risk was low in cross-sectional studies. The number of nursing diagnoses NANDA-I moderately correlated with the intensive care unit length of stay (r = 0.38; 95% CI = 0.31–0.44). Using the Omaha System nurse-led transitional care program showed a large increase in both knowledge (d = 1.21; 95% CI = 0.97–1.44) and self-efficacy (d = 1.23; 95% CI = 0.97–1.48), while a reduction on the readmission rate (OR = 0.46; 95% CI = 0.09–0.83). Nursing diagnoses were found to be useful predictors for organizational (length of stay) and patients' outcomes (mortality, quality of life). The GRADE indicated that the certainty of evidence was rated from very low to low.
Studies using SNTs demonstrated significant improvement and prediction power in several patients' and organizational outcomes. Further high-quality research is required to increase the certainty of evidence of these relationships.
SNTs should be considered by healthcare policymakers to improve nursing care and as essential reporting data about patient's nursing complexity to guide reimbursement criteria.
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