Deborah A Chyun

Abstract

Background: Nurses’ knowledge of heart failure (HF) is highly variable, ranging from expert to poor, potentially leading to inadequate self-care. Objectives: (1) document the knowledge variation of HF assessment and management among specialist and generalist nurses; (2) determine factors that may be associated with nurses’ knowledge; and (3) describe nurses’ views of knowledge deficits and ways to improve nurses’ knowledge to better meet the needs educational interventions. Method: Members of the American Association of Heart Failure Nurses and Registered Nurses were invited to participate in a cross-sectional survey. Independent samples t-test, chi-square, and linear regression were used for quantitative analysis. Text analysis was applied to analyze the themes of qualitative comments. Results: A total of 918 nurses completed the survey. Specialist nurses had higher scores than generalist nurses with statistically significant F-test for diet, fluid, signs/symptoms, medication, and exercise. Both specialist and generalist nurses were least knowledgeable about dry weight, asymptomatic hypotension, and transient dizziness. Being a specialist nurse was associated with higher level of knowledge scores. Years of experience and race were significant factors associated with knowledge scores in generalist nurses. Confidence level and race were significant predictors for specialist nurses. Three themes emerged regarding the cause of nurses’ insufficient knowledge and several approaches were provided. Conclusions: Specialist nurses are not only knowledgeable, but their knowledge levels are less variable compared to generalist nurses. There is a need to identify additional factors that may potentially influence nurses’ knowledge, contributing to the effectiveness of interventions.

Abstract

Cardiovascular disease remains the leading cause of death in patients with diabetes. Cardiovascular disease in diabetes is multifactorial, and control of the cardiovascular risk factors leads to substantial reductions in cardiovascular events. The 2015 American Heart Association and American Diabetes Association scientific statement, "Update on Prevention of Cardiovascular Disease in Adults With Type 2 Diabetes Mellitus in Light of Recent Evidence," highlighted the importance of modifying various risk factors responsible for cardiovascular disease in diabetes. At the time, there was limited evidence to suggest that glucose-lowering medications reduce the risk of cardiovascular events. At present, several large randomized controlled trials with newer antihyperglycemic agents have been completed, demonstrating cardiovascular safety and reduction in cardiovascular outcomes, including cardiovascular death, myocardial infarction, stroke, and heart failure. This AHA scientific statement update focuses on (1) the evidence and clinical utility of newer antihyperglycemic agents in improving glycemic control and reducing cardiovascular events in diabetes; (2) the impact of blood pressure control on cardiovascular events in diabetes; and (3) the role of newer lipid-lowering therapies in comprehensive cardiovascular risk management in adults with diabetes. This scientific statement addresses the continued importance of lifestyle interventions, pharmacological therapy, and surgical interventions to curb the epidemic of obesity and metabolic syndrome, important precursors of prediabetes, diabetes, and comorbid cardiovascular disease. Last, this scientific statement explores the critical importance of the social determinants of health and health equity in the continuum of care in diabetes and cardiovascular disease.

Abstract

EHRs provide an opportunity to conduct research on underrepresented oncology populations with mental health and substance use disorders. However, a lack of data quality may introduce unintended bias into EHR data. The objective of this article is describe our analysis of data quality within automated comorbidity lists commonly found in EHRs. Investigators conducted a retrospective chart review of 395 oncology patients from a safety-net integrated healthcare system. Statistical analysis included κ coefficients and a condition logistic regression. Subjects were racially and ethnically diverse and predominantly used Medicaid insurance. Weak κ coefficients (κ = 0.2-0.39, P <.01) were noted for drug and alcohol use disorders indicating deficiencies in comorbidity documentation within the automated comorbidity list. Further, conditional logistic regression analyses revealed deficiencies in comorbidity documentation in patients with drug use disorders (odds ratio, 11.03; 95% confidence interval, 2.71-44.9; P =.01) and psychoses (odds ratio, 0.04; confidence interval, 0.02-0.10; P <.01). Findings suggest deficiencies in automatic comorbidity lists as compared with a review of provider narrative notes when identifying comorbidities. As healthcare systems increasingly use EHR data in clinical studies and decision making, the quality of healthcare delivery and clinical research may be affected by discrepancies in the documentation of comorbidities.

Abstract

Background Stroke is the second leading cause of death and a major cause of serious, long-term disability worldwide. The approximately 15 million people each year who experience stroke are at risk of developing depression. Poststroke depressive symptoms affect one third of survivors of stroke. Patients who develop poststroke depressive symptoms experience decreased functional independence, poor cognitive recovery, decreased quality of life, and increased mortality. Survivors of stroke use social support to deal with stress and defend against the adverse effects of negative stroke outcomes. Purpose This study was designed to examine the influence of perceived social support (emotional and informational, tangible, affectionate, and positive social interaction), stress level, and functional independence on depressive symptoms in survivors of stroke. Methods A cross-sectional observational study design in outpatient settings and rehabilitation centers was conducted. A convenience sample of 135 survivors of stroke completed the psychometrically valid instruments. Results Most of the sample had mild or moderate depressive symptoms (26% and 29%, respectively). The mean score for perceived social support was 77.53 (SD = 21.44) on the Medical Outcomes Study Social Support Survey. A negative association was found between depressive symptoms and the social support total score (r = -.65, p <.01). All of the social support subcategories were negatively associated with depressive symptoms. Hierarchical multiple linear regression showed that social support, stress level, and literacy were associated with depressive symptoms (β = -.31, p <.001; β =.45, p <.001; and β =.16, p =.01, respectively) and partially mediated the association between depressive symptoms and functional independence. Conclusions/Implications for Practice Poststroke depressive symptoms are common among survivors of stroke. Social support may improve health by protecting these individuals from the negative outcomes of stroke and enhance their recovery. Future research is required to examine how related interventions improve social support in caregivers and reduce depressive symptoms in stroke survivors.

Abstract

This study explored the association of back pain and heart failure (HF) with health outcomes among community-dwelling older adults. Older adults who completed a follow-up in the 11th year (2007–2008) of the Health, Aging, and Body Composition (Health ABC) study were included. The mean age was 83.4 ± 2.78 years. Back pain and heart failure were reported by 55.40% (n = 657) and 8.09 % (n = 96) of the total subjects (N = 1186), respectively. Regression analysis indicated that older adults with back pain reported worse depressive symptoms, fatigue, and physical performance and function compared with those without back pain (p < 0.05), and HF presence increased fatigue levels and decreased physical function (p < 0.05) among older adults with back pain. The high incidence and negative impact of back pain highlight the need to develop strategies for pain management among older adults with and without HF.

Abstract

The COVID-19 pandemic has disrupted clinical nursing and midwifery education. This disruption has long-term implications for the nursing and midwifery workforce and for future healthcare responses to pandemics. Solutions may include enhanced partnerships between schools of nursing and midwifery and health service providers and including schools of nursing and midwifery in preparedness planning. These suggestions notwithstanding, we call upon national and international nursing and midwifery bodies to study how to further the clinical education of nurses and midwives during pandemics and other times of crisis.

Abstract

AIM The aim of the integrative review was to examine the prebriefing phase of simulation as the foundation for the learning experience of nursing students and to determine effective prebriefing activities to enhance learning. BACKGROUND There are currently no frameworks or specific time allotments for prebriefing comparable to those implemented for debriefing. METHOD Eight electronic databases were searched for the period 2012 to 2019. Six studies were selected based on relevance and inclusion. Whittemore and Knafl's integrative review framework was used for data analysis. RESULTS The studies reviewed answer how to effectively prepare students for simulation to enhance their learning and have a positive effect on clinical judgment and self-confidence; yet, prebriefing is not considered the foundation of the simulation experience. CONCLUSION A well-designed prebriefing process is essential to high-quality simulation experiences. Standardization of this process has yet to be established.

Abstract

Purpose: It is reported that while immigrants are, initially, healthier than the native-born upon resettlement, this advantage erodes over time. In the United States, uninsured aging immigrants are increasingly experiencing severe complications of cardiovascular disease (CVD). The purpose of this study was to compare overall CVD risk and explore the importance of health insurance coverage on CVD risk relative to other health access barriers, from 2007 to 2012, in recent and long-term immigrants >50 years of age. Methods: This study was based on secondary cross-sectional analysis of the National Health and Nutrition Examination Survey (N = 1,920). The primary outcome, CVD risk category (high or low), was determined using the American College of Cardiology and American Heart Association Pooled Cohort equation. Differences between immigrant groups were examined using independent-samples t tests and chi-square analysis. The association between insurance and CVD risk was explored using a hierarchical block logistic regression model, in which variables were entered in a predetermined order. Changes in pseudo R 2 measured whether health insurance explained variance in cardiac risk beyond other variables. Results: Recent immigrants had lower overall CVD risk than long-term immigrants but were twice as likely to be uninsured and had higher serum glucose and lipid levels. Based on regression models, being uninsured contributed to CVD risk beyond other health access determinants, and CVD risk was pronounced among recent immigrants who were uninsured. Conclusions: Health insurance coverage plays an essential part in a comprehensive approach to mitigating CVD risk for aging immigrants, particularly recent immigrants whose cardiovascular health is susceptible to deterioration. Clinical Relevance: Nurses are tasked with recognizing the unique social and physical vulnerabilities of aging immigrants and accounting for these in care plans. In addition to helping them access healthcare coverage and affordable medication, nurses and clinicians should prioritize low-cost lifestyle interventions that reduce CVD risk, especially diet and exercise programs.