Nursing Research最新文献

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: 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: 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.

Background: Emerging adults are a hard-to-recruit population for health researchers, as many do not routinely access health care services and are best recruited outside clinical settings. Social media and research volunteer registries (e.g., ResearchMatch) offer great potential among this population, yet a comparison of these two recruitment methods has not been done.

Objectives: To compare participant enrollment and completion rates, participant demographics, and recruitment costs between recruitment methods (social media advertisements compared to ResearchMatch) deployed with a sample of female-bodied emerging adults.

Methods: Female-bodied emerging adults were recruited from October to November 2022 via ResearchMatch and social media (Instagram and Snapchat) advertisements. This analysis involves a subset of recruitment data from a larger institutional review board-approved study. Enrollment and survey completion rates were calculated using the number of individuals contacted and survey completion data from Qualtrics. Chi-square and independent t-test analyses were used to compare demographic data. Advertisement data collected included total cost, cost per click, link clicks, and paid impressions.

Results: Two hundred and forty-five emerging adults completed the survey, and 24 completed follow-up interviews. ResearchMatch and social media enrollment rates differed (58% and 39%, respectively). Survey completion rates for both methods were the same (~93%). Participants' ages and levels of education were significantly different. Social media resulted in recruitment of younger participants (18-21 years), and ResearchMatch garnered participants with a higher level of education. Differences in race were also significant, as social media recruited higher numbers of White participants. Lastly, the researcher-incurred cost per survey was $0 for ResearchMatch versus $13 for social media.

Discussion: While social media and ResearchMatch are both successful tools for research recruitment, each provides distinct benefits for recruiting specific populations. ResearchMatch offers a lower-cost option and access to an older emerging adult population with higher education, while social media provides access to a younger emerging adult population. This knowledge can be imperative for deciding which recruitment methods best fit research study needs. Future research should explore differences in race by recruitment method to highlight potential sampling biases or recruitment opportunities.

Background: Infants with developmental risk factors are more likely to have feeding problems and develop chronic feeding disorders. Early detection and understanding of the progression of problematic feeding and its relationship with a child's biological functioning and the family feeding environment will enhance effective symptom management and development of interventions to prevent pediatric feeding disorders.

Objectives: The New Through Two (NewThru2) feeding study protocol is described. Study aims are to (a) characterize symptoms of problematic feeding and trajectories of symptoms from pre-discharge from neonatal intensive care through age 24 months; (b) determine the relationship of child biological function at discharge with symptom characteristics and trajectories; (c) describe the child's feeding environment and its relationship to symptoms from discharge through 24 months; and (d) determine the relationship between problematic feeding symptoms and growth and developmental outcomes.

Methods: NewThru2 is a prospective, longitudinal, mixed method study following over 200 infants who received care in a neonatal intensive care unit and were identified as at risk for compromised development. The study follows enrolled infants through 24 months of age. Symptoms of problematic feeding are measured pre-discharge by clinical observation and medical record review and post-discharge by parent report. Biological function is measured by medical history and cardiorespiratory and autonomic nervous system function during feeding prior to discharge. Child feeding environment is measured by strategies parents use to manage feeding, the effect of feeding on the parent and family, and the use of feeding services. A subset of parents is interviewed to achieve a contextual understanding of the family feeding environment. Child outcome measures include parent-reported feeding skills and clinician-reported growth and neurodevelopment.

Discussion: The results of this study will improve understanding of pediatric feeding disorders during a time of development sensitive to adequate nutrition and with infants at risk for developmental delays or impairments.

Background: The incidence of type 2 diabetes (T2DM) among U.S. adults has been rising annually, with a higher incidence rate in Black and Hispanic adults than in Whites. The American Heart Association (AHA) has defined cardiovascular health according to the achievement of seven health behaviors (smoking, body mass index [BMI], physical activity, diet) and health factors (total cholesterol, blood pressure, fasting glucose). Optimal cardiovascular health has been associated with a lower risk of cardiovascular disease, and awareness of this risk may influence healthy behaviors.

Objectives: This study aimed to assess cardiovascular health in a sample of Black and Hispanic adults (age: 18-40 years) with T2DM and explore the barriers and facilitators to diabetes self-management and cardiovascular health.

Methods: This was an explanatory sequential mixed-method design. The study staff recruited adults with T2DM for the quantitative data followed by qualitative interviews with a subsample of participants using maximum variation sampling. The seven indices of cardiovascular health as defined by the AHA's "Life's Simple 7" were assessed: health behaviors (smoking, BMI, physical activity, diet) and health factors (total cholesterol, blood pressure, A1C). Qualitative interviews were conducted to explore their results as well as the effects of the pandemic on diabetes self-management. Qualitative and quantitative data were integrated into the final analysis phase.

Results: The majority of the sample was female, with 63% identifying as Black and 47% as Hispanic. The factor with the lowest achievement of ideal levels was BMI, followed by a healthy diet. Less than half achieved ideal levels of blood pressure or physical activity. Themes that emerged from the qualitative data included the impact of social support, the effects of the pandemic on their lives, and educating themselves about T2DM.

Discussion: Achievement of ideal cardiovascular health factors varied, but the achievement of several health factors may be interrelated. Intervening on even one factor while providing social support may improve other areas of cardiovascular health in this population.

Background: Vaccination is a critical tool to combat the COVID-19 pandemic. Yet, vaccine uptake varies across communities and is often affected by sociodemographic factors and accessibility.

Objectives: This article outlines a pilot study aimed to examine factors associated with COVID-19 patients within one of the nation's largest safety net healthcare systems.

Methods: A cross-sectional survey design was conducted with adults over 18 years of age eligible to receive the COVID-19 vaccine. Descriptive analysis of survey data collected in 2021-2022 was employed. Unconditional and multivariate logistic regression analyses were conducted to examine associations between sociodemographics, social factors, and COVID-19 vaccine uptake.

Results: Study participants ( N = 280) were a diverse patient population, primarily low-income and majority Hispanic/Latinx, with low education levels, but with a high level of COVID-19 vaccine uptake and a high rate of intent to vaccinate again. Approximately 22% report having unstable housing, and 46% experiencing food insecurity. Most trusted sources for COVID-19 data included mainstream media, including TV, radio, and newspapers, and friends, family, or other informal networks. We found that respondents who were satisfied or very satisfied with COVID-19 information received from healthcare providers or the government had higher odds of vaccine uptake rates.

Discussion: These findings highlight the critical role of access to the COVID-19 vaccine and sources of information as an independent factor in COVID-19 vaccine uptake among patients within a safety net healthcare system. This study expands the literature on COVID-19 vaccine uptake, particularly in an underresourced region of the South Los Angeles community. Future research is needed to better understand the mechanisms between social determinants of health, perceived discrimination, and vaccine uptake.

Background: Chronic liver disease is a significant global neglected public health problem. End-stage liver disease is associated with substantial symptom complexity, disability, and care needs that require assistance from informal family care partners. Research on these care partners' caregiver burden or strain, symptoms, and quality of life is sparse and has not focused on these variables as co-occurring or in the context of the quality of the relationship care partners have with the patients.

Objectives: The purpose of this study was to provide a collective presentation of patterns and determinants of well-being as measured by caregiver strain, depression, sleep, and quality of life in a cohort of informal family care partners for adult outpatients with end-stage liver disease.

Methods: Care partners (aged >18 years) were recruited from two liver clinics within two tertiary healthcare systems and invited to complete a cross-sectional survey. They completed the Multidimensional Caregiver Strain Index, Patient Health Questionnaire, Pittsburgh Sleep Quality Index, Short Form Health Survey, and Mutuality Scale. Descriptive statistics and latent class mixture modeling were used to analyze these data.

Results: The sample was predominantly female and White. The well-being of care partners was diminished. Three distinct classes of well-being were identified: mildly diminished (53.2%), moderately diminished (39.0%), and severely diminished (7.8%). Those at a greater risk of worse well-being were younger and spouses and had poorer relationship quality with the patients.

Discussion: To improve the well-being of care partners in moderately and severely diminished classes, assessing and addressing caregiver strain and co-occurring symptoms is essential. Addressing the strain and symptoms has the potential to maintain or optimize care partners' ability to provide care to patients. Future researchers should include longitudinal and dyadic studies to examine how patients' disease progression and symptoms may affect family care partners' well-being and vice versa.