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BACKGROUND: Readmissions following hospitalization for common surgical procedures are prevalent among older adults and are disproportionally experienced by Hispanic patients. One potential explanation for these disparities is that Hispanic patients may receive care in hospitals with lower-quality nursing care. OBJECTIVES: The objective of this study was to evaluate the relationship between the hospital-level work environment of nurses and hospital readmissions among older Hispanic patients. METHODS: Using linked data sources from 2014 to 2016, we conducted a cross-sectional analysis of 522 hospitals and 732,035 general, orthopedic, and vascular surgical patients (80,978 Hispanic patients and 651,057 non-Hispanic White patients) in four states. Multivariable logistic regression models were employed to determine the relationship between the work environment and older Hispanic patient readmissions at multiple time periods (7, 30, and 90 days). RESULTS: In final adjusted models that included an interaction between work environment and ethnicity, an increase in the quality of the work environment resulted in a decrease in the odds of readmission that was greater for older Hispanic surgical patients at all time periods. Specifically, an increase in three of the five work environment subscales (Nurse Participation in Hospital Affairs, Nursing Foundations for Quality of Care, and Staffing and Resource Adequacy) was associated with a reduction in the odds of readmission that was greater for Hispanic patients than their non-Hispanic White counterparts. DISCUSSION: System-level investments in the work environment may reduce Hispanic patient readmission disparities. This study's findings may be used to inform the development of targeted interventions to prevent hospital readmissions for Hispanic patients.
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Recursos Humanos de Enfermagem Hospitalar , Readmissão do Paciente , Humanos , Estados Unidos , Idoso , Estudos Transversais , Hospitais , Condições de TrabalhoRESUMO
BACKGROUND: Nurses have faced significant personal and professional stressors during the COVID-19 pandemic that have contributed to increased rates of burnout, intention to leave, and poorer work engagement. Resilience has been identified as a critical factor influencing job outcomes; however, the dynamics of this association have not yet been investigated within the context of the Thai workforce. The study objective was to determine the associations between resilience and job outcomes, including burnout, intention to leave, and work engagement among nurses working in Thailand during the COVID-19 pandemic. METHODS: This cross-sectional study gathered data from a sample of 394 registered nurses employed across 12 hospitals. The research instruments comprised the Connor-Davidson Resilience Scale (CD-RISC), the Maslach Burnout Inventory-Health Services Survey (MBI-HSS), a questionnaire assessing the intention to leave the job, and the Utrecht Work Engagement Scale (UWES). To determine the associations among the measured variables, multivariate logistic regression analyses were conducted. RESULTS: One-third of nurses experienced emotional exhaustion and depersonalization, and about half experienced reduced personal accomplishment; one-tenth of nurses intended to leave their job. Nurses who exhibited higher levels of resilience were found to have a significantly reduced likelihood of experiencing high emotional exhaustion, depersonalization, and a diminished sense of personal accomplishment. Conversely, these nurses were more likely to report higher levels of work engagement than their less resilience. CONCLUSION: The COVID-19 pandemic offers important lessons learned about promoting the well-being of the nursing workforce and protecting against adverse job outcomes. While we identified resilience as a significant predictor of several nurse outcomes, other work environment factors should be considered. Government and hospital administrations should allocate resources for individual and organizational-level interventions to promote resilience among frontline nurses so that hospitals will be better prepared for the next public health emergency and patient and nurse outcomes can be optimized.
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Language barriers significantly affect communication between patients and health care staff and are associated with receipt of lower-quality care. Registered nurses are well positioned members of the health care team to reduce and eliminate disparities for patients with limited English proficiency (LEP). Current evidence recommends nurses use interpreters or translation devices to overcome language barriers; however, these recommendations fail to recognize that structural system-level factors, such as unsupportive work environments and poor nurse-to-patient staffing ratios, reduce nurses' ability to implement these recommendations. The Quality Health Outcomes Model (QHOM) is a useful framework for understanding relationships between hospital systems, the delivery of care interventions, and patient outcomes. The goal of this manuscript is to use the QHOM and existing empirical evidence to present a new perspective on the long-standing clinical challenge of reducing language-related health outcome disparities by considering the context in which nurses deliver patient care.
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Disparidades em Assistência à Saúde , Proficiência Limitada em Inglês , Humanos , Recursos Humanos de Enfermagem Hospitalar , Hospitalização/estatística & dados numéricos , Barreiras de Comunicação , Qualidade da Assistência à Saúde , Tradução , Avaliação de Resultados em Cuidados de SaúdeRESUMO
OBJECTIVES: More than 25% of deaths among older adults occur in nursing homes. Thus, assessments of nursing home quality, including the widely used 5-star rating systems, should reflect quality of end-of-life (EOL) care. Our objective was to examine the associations between Veterans Affairs (VA) nursing home star ratings and quality of EOL care as measured by the VA's Bereaved Family Survey (BFS). DESIGN: National, retrospective observational study. SETTING AND PARTICIPANTS: VA nursing homes, known as Community Living Centers (CLCs). All veterans who died in a CLC from October 2018 to September 2019 whose next of kin completed a BFS. METHODS: Using linked VA data sources, we examined the BFS-Performance Measure (BFS-PM) (ie, the % of BFS respondents who provided an "excellent" overall rating) by the Overall Star Rating and domain star ratings (unannounced survey, staffing, and quality) for the 133 CLCs in our sample. Logistic and linear regression was used to examine the associations between CLC Overall Star Rating and individual-level BFS outcomes. Outcomes included the BFS-PM (primary), the 3 BFS factor scores of Respectful Care and Communication, Emotional and Spiritual Support, and Death Benefits, and 2 symptom management items. RESULTS: Differences in the BFS-PM by CLC star rating were small to none and not statistically significant across all star rating domains. The relationship between a higher CLC Overall Star Rating and odds of an "excellent" BFS global rating was not statistically significant. Similarly, no significant associations were observed between a higher CLC Overall Star Rating and scores on the BFS factor scores and symptom management items. CONCLUSIONS AND IMPLICATIONS: Our findings suggest that the current CLC star rating system is not sufficient to assess the quality of EOL care. BFS scores, or a comparative EOL quality of care measure, should be integrated into CLC quality rating systems.
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