Nursing Research最新文献

Background: Music interventions have beneficial effects on cognitive function and related risk factors, such as depressive symptoms and behavior of exercise participation. However, little research has been conducted on music's effects on people with type 2 diabetes, and evidence of the effect remains inconclusive in this population.

Objectives: Guided by the theory of music, mood, and movement (MMM), this exploratory study aimed to examine the direct and indirect effects of musical activity engagement, depressive symptoms, and physical activity on cognitive function in people with type 2 diabetes.

Methods: The present study is a secondary data analysis using the cross-sectional data collected from the Memory, Attention, and Problem-Solving Skills for Persons With Diabetes trial conducted between 2021 and 2023. Data were collected using self-reported questionnaires and a computerized cognitive assessment tool. A total of 189 people with type 2 diabetes and subjective cognitive decline were included in the study. Path analysis was conducted using IBM SPSS AMOS to examine the pathways of the proposed conceptual framework.

Results: The study results partially support the MMM model for subjective cognitive function but not objective cognitive function. The path model demonstrated the significant direct effects of musical activity engagement on physical activity, physical activity on subjective cognitive function, and depressive symptoms on physical activity as well as on subjective cognitive function. There was a significant indirect effect of musical activity engagement on subjective cognitive function through physical activity-which fully mediated this relationship. However, no significant direct effect of musical activity engagement on depressive symptoms and subjective cognitive function was found.

Discussion: The findings suggest that regular assessment of the presence of depressive symptoms and physical activity participation should be done in people with type 2 diabetes to identify potential modifiable factors and develop targeted interventions for cognitive health promotion. Also, our findings provide insights into the potential use of music to facilitate physical activity and manage cognitive health in people with type 2 diabetes. This study partially supports the MMM model; however, more research with a rigorous study design and larger sample size is needed to better understand the relationships among musical activity engagement, depressive symptoms, physical activity, and cognitive function.

Background: A healthy nursing workforce is vital to ensuring that patients are provided quality care. Assessing nurses' well-being and related factors requires routine evaluations from health system leaders that leverage brief psychometrically sound measures. To date, measures used to assess nurses' well-being have primarily been psychometrically tested among other clinicians or nurses working in specific clinical practice settings rather than in large, representative, heterogeneous samples of nurses.

Objectives: This study aimed to psychometrically test measures frequently used to evaluate factors linked to nurse well-being in a heterogeneous sample of nurses within a large academic health system.

Methods: This cross-sectional, survey-based study used a convenience sample of nurses working across acute care practice settings. A total of 177 nurses completed measures, which included the Professional Quality of Life, the short form of the Professional Quality of Life measure, the two-item Connor-Davidson Resilience Scale, the five-item World Health Organization Well-Being Index, the Secondary Traumatic Stress Scale, and the single-item Mini-Z. Internal reliability and convergent validity were assessed for each measure.

Results: All the measures were found to be reliable. Brief measures used to assess domains of well-being demonstrated validity with longer measures, as evident by significant correlation coefficients.

Discussion: This study provides support for the reliability and validity of measures commonly used to assess well-being in a diverse sample of nurses working across acute care settings. Data from routine assessments of the nursing workforce hold the potential to guide the implementation and evaluation of interventions capable of promoting workplace well-being. Assessments should include psychometrically sound, low-burden measures, such as those evaluated in this study.

Background: Patients with multiple chronic conditions often have many care plans, polypharmacy, and unrelieved symptoms that contribute to high emergency department and hospital use. High-quality primary care delivered in practices that employ nurse practitioners can help prevent the need for such acute care services. However, such practices located in primary care health professional shortage areas face challenges caring for these patients because of higher workloads and fewer resources.

Objective: We examined differences in hospitalization and emergency department use among patients with multiple chronic conditions who receive care from practices that employ nurse practitioners in health professional shortage areas compared to practices that employ nurse practitioners in non-health professional shortage areas.

Methods: We performed an analysis of Medicare claims, merged with Health Resources and Services Administration data on health professional shortage area status in five states. Our sample included 394,424 community-dwelling Medicare beneficiaries aged ≥65 years, with at least two of 15 common chronic conditions who received care in 779 practices that employ nurse practitioners. We used logistic regression to assess the relationship between health professional shortage area status and emergency department visits or hospitalizations.

Results: We found a higher likelihood of emergency department visits among patients in health professional shortage areas compared to those in non-health professional shortage areas and no difference in the likelihood of hospitalization.

Discussion: Emergency department use differences exist among older adults with multiple chronic conditions receiving care in practices that employ nurse practitioners in health professional shortage areas, compared to those in non-health professional shortage areas. To address this disparity, the health professional shortage area program should invest in recruiting and retaining nurse practitioners to health professional shortage areas to ease workforce shortages.

Background: Oropharyngeal cancer (OPC) survivorship is a nursing priority because patients are living longer while significant short-term and long-term treatment complications that require nursing care are increasing. Hospital readmission is costly and reflects the quality of care patients receive.

Objectives: This secondary analysis aimed to determine the prevalence of treatment complications resulting in hospital admissions among persons with OPC and examine the relationship between treatment complications resulting in hospital admission among persons with OPC and all other persons with head and neck cancer.

Methods: Using the National Inpatient Survey 2008-2019 database, we identified persons with relevant head and neck cancer diagnoses using specific International Classification of Disease ICD-9 and ICD-10 codes. Complications were operationalized by diagnosis-related codes; persons with codes for major elective surgery were excluded as our focus was posttreatment symptoms requiring hospitalization. Descriptive statistics were used to characterize persons with OPC hospitalized between 2008 and 2019. Binary logistic regression was used to assess complications using crude comparisons. The Elixhauser Comorbidity Index was used for controlling for comorbidities.

Results: The final analysis samples included 751,533: 164,770 persons with OPC and 586,763 with other head and cancers. The most prevalent diagnoses observed in those with OPC were esophagitis, nutrition disorder, hematological disorder, and renal failure; the least common diagnoses were sepsis, respiratory tract infection, and pneumonia. Binary regression revealed that persons with OPC experienced significantly more esophagitis, nutrition disorders, hematological disorders, and renal failure compared to persons with other head and neck cancers.

Discussion: Treatment of survivors of OPC requires more intensive monitoring for early symptoms associated with treatment, including esophagitis, nutrition disorders, bleeding disorders, and renal failure, than persons with other head and neck cancers. Monitoring laboratory values and clinical manifestations of these conditions is imperative. Nurses may encounter persons with OPC in emergency departments, outpatient radiology, or inpatient general medicine floors to manage swallowing difficulties, dehydration, malnutrition, and bleeding. Delayed or ineffective treatment of these conditions contributes to readmission, financial burden, and impairment of patient's quality of life. Future research should investigate the relationship between targeted treatment for expected complications and readmission rates in persons with OPC.

Background: As individuals living with HIV age, they often experience both physical and psychological symptoms-along with potential reductions in social support-which can significantly affect their health-related quality of life (HRQOL)-a crucial measure in HIV care. However, research exploring the potential predictive roles of social support and symptom experiences in HRQOL among older people living with HIV (PLWH) is limited.

Objectives: This cross-sectional study aimed to investigate relationships between social support, symptom experiences, and HRQOL in older adults with HIV.

Methods: Older adults with HIV aged ≥50 years completed surveys on demographic and HIV-related characteristics, social support, four symptoms, and HRQOL. Hierarchical multiple linear regression analyses were used to determine predictors for six HRQOL domains.

Results: Among the 141 PLWH, significant associations were found between fatigue and health perceptions, physical functioning, and role functioning. Sleep disturbance was a significant predictor of health perceptions and social functioning. Anxiety displayed associations with physical functioning, role functioning, mental health, and pain. Depression was linked to health perceptions and mental health aspects of HRQOL. Notably, social support was not associated with any HRQOL domains.

Discussion: These findings underscore the importance of assessing a range of common symptoms to enhance HRQOL among older adults living with HIV, necessitating tailored symptom management strategies for this growing population.

Background: For years, nurse researchers have been called upon to engage with "big data" in the electronic health record (EHR) by leading studies focusing on nurse-centric patient outcomes and providing clinical analysis of potential outcome indicators. However, the current gap in nurses' data science education and training poses a significant barrier.

Objectives: We aimed to evaluate the viability of conducting nurse-led, big-data research projects within a custom-designed computational laboratory and examine the support required by a team of researchers with little to no big-data experience.

Methods: Four nurse-led research teams developed a research question reliant on existing EHR data. Each team was given its own virtual computational laboratory populated with raw data. A data science education team provided instruction in coding languages-primarily structured query language and R-and data science techniques to organize and analyze the data.

Results: Three research teams have completed studies, resulting in one manuscript currently undergoing peer review and two manuscripts in progress. The final team is performing data analysis. Five barriers and five facilitators to big-data projects were identified.

Discussion: As the data science learning curve is steep, organizations need to help bridge the gap between what is currently taught in doctoral nursing programs and what is required of clinical nurse researchers to successfully engage in big-data methods. In addition, clinical nurse researchers require protected research time and a data science infrastructure that supports novice efforts with education, mentorship, and computational laboratory resources.