Margaret McCarthy

Abstract

Purpose Remote patient monitoring (RPM) is a tool for patients to share data collected outside of office visits. RPM uses technology and the digital transmission of data to inform clinician decision-making in patient care. Using RPM to track routine physical activity is feasible to operationalize, given contemporary consumer-grade devices that can sync to the electronic health record. Objective monitoring through RPM can be more reliable than patient self-reporting for physical activity. Design and Methods This article reports on four pilot studies that highlight the utility and practicality of RPM for physical activity monitoring in outpatient clinical care. Settings include endocrinology, cardiology, neurology, and pulmonology settings. Results The four pilot use cases discussed demonstrate how RPM is utilized to monitor physical activity, a shift that has broad implications for prediction, prevention, diagnosis, and management of chronic disease and rehabilitation progress. Clinical Relevance If RPM for physical activity is to be expanded, it will be important to consider that certain populations may face challenges when accessing digital health services. Conclusion RPM technology provides an opportunity for clinicians to obtain objective feedback for monitoring progress of patients in rehabilitation settings. Nurses working in rehabilitation settings may need to provide additional patient education and support to improve uptake.

Abstract

Background Emerging adults with Type 1 diabetes (T1DM) face an increased risk of cardiovascular disease; however, there are both barriers and facilitators to achieving ideal cardiovascular health in this stage of their lives. Objectives The aim of this study was to qualitatively explore the barriers and facilitators of achieving ideal levels of cardiovascular health in a sample of emerging adults with T1DM ages 18-26 years. Methods A sequential mixed-methods design was used to explore achievement of ideal cardiovascular health using the seven factors defined by the American Heart Association (smoking status, body mass index, physical activity, healthy diet, total cholesterol, blood pressure, and hemoglobin A1C [substituted for fasting blood glucose]). We assessed the frequency of achieving ideal levels of each cardiovascular health factor. Using Pender's health promotion model as a framework, qualitative interviews explored the barriers and facilitators of achieving ideal levels of each factor of cardiovascular health. Results The sample was mostly female. Their age range was 18-26 years, with a diabetes duration between 1 and 20 years. The three factors that had the lowest achievement were a healthy diet, physical activity at recommended levels, and hemoglobin A1C of <7%. Participants described lack of time as a barrier to eating healthy, being physically active, and maintaining in-range blood glucose levels. Facilitators included the use of technology in helping to achieve in-range blood glucose and social support from family, friends, and healthcare providers in maintaining several healthy habits. Discussion These qualitative data provide insight into how emerging adults attempt to manage their T1DM and cardiovascular health. Healthcare providers have an important role in supporting these patients in establishing ideal cardiovascular health at an early age.

Abstract

Insomnia symptoms are very common in persons with heart failure (HF). However, many of the correlates and predictors of insomnia symptoms in this population remain unclear. The purpose of this study is to investigate the associations of sociodemographic, clinical, and lifestyle factors with insomnia symptoms in persons with HF. A theoretical framework was adapted from the neurocognitive model of chronic insomnia to guide the study. Data from the health and retirement study were used for the analysis. Parametric and nonparametric bivariate and multivariate analyses were conducted to investigate these associations. Age, depressive symptoms, comorbidity, dyspnea, pain, and smoking had significant bivariate associations with all insomnia symptoms. Race, Hispanic ethnicity, marital status, household income, poverty, and physical activity were associated with difficulty initiating sleep (DIS) and early morning awakening (EMA). Female sex, education, and alcohol consumption had a significant bivariate association with DIS. Sleep-disordered breathing and body mass index were significantly associated with EMA. Multivariate analysis suggested that depressive symptoms, comorbidity, dyspnea, and pain had independent associations with each insomnia symptom. Age explained DIS and difficulty maintaining sleep, and significant interaction effects between age and physical activity on DIS and EMA were revealed. Results suggest that insomnia symptoms are associated with several sociodemographic, clinical, and lifestyle factors. Age below 70 years, depressive symptoms, comorbidity, dyspnea, and pain might be considered as a phenotype to identify persons with HF who are at increased risk for insomnia symptoms.

Abstract

Aims: Individuals with type 1 diabetes (T1D) face increased risk for cardiovascular disease (CVD). Controlling individual cardiovascular risk factors can prevent or slow the onset of CVD. Ideal cardiovascular health is associated with a lower incidence of CVD. Identifying areas of suboptimal cardiovascular health can help guide CVD prevention interventions. To assess cardiovascular health and explore the barriers and facilitators to achieving ideal cardiovascular health in a sample of young adults with T1D. Methods and results: We used a sequential mixed-method design to assess the seven factors of cardiovascular health according to American Heart Association. Qualitative interviews, guided by Pender's Health Promotion Model, were used to discuss participant's cardiovascular health results and the barriers and facilitators to achieving ideal cardiovascular health. We assessed the frequency of ideal levels of each factor. The qualitative data were analysed using content analysis. Qualitative and quantitative data were integrated in the final analysis phase. The sample (n = 50) was majority female (70%), White (86%), with a mean age of 22 ± 2.4 and diabetes duration of 10.7 ± 5.5 years. Achievement of the seven factors of cardiovascular health were: non-smoking (96%); cholesterol <200 mg/dL (76%); body mass index <25 kg/m2 (54%); blood pressure <120/<80 mmHg (46%); meeting physical activity guidelines (38%); haemoglobin A1c <7% (40%); and healthy diet (14%). Emerging qualitative themes related to the perceived benefits of action, interpersonal influences on their diabetes self-management, and perceived self-efficacy. Conclusion: We found areas of needed improvement for cardiovascular health. However, these young adults expressed a strong interest in healthy habits which can be supported by their healthcare providers.

Abstract

Although cognitive impairment is common among persons with heart failure and negatively impacts self-care, hospitalization, and mortality, the associations between cognitive impairment and insomnia symptoms are not clearly understood. The purpose of this study was to explore these associations and examine if they are maintained after adjusting for relevant sociodemographic, clinical, and lifestyle factors. Guided by the Neurocognitive model of insomnia and sleep and the self-care conceptual model, a cross-sectional data analysis using parametric testing was conducted on the Health and Retirement Study wave 2016. Difficulty initiating sleep and early morning awakening, but not difficulty maintaining sleep were significantly associated with poorer cognitive performance in the bivariate and multivariate analysis. Our results are suggestive of different phenotypes of insomnia symptoms that may have different associations with cognition in persons with heart failure. Further research using objective measurements of insomnia symptoms and detailed neuropsychiatric testing of cognition is needed to confirm this conclusion.

Abstract

Aims: The aims of this study were to explore associations between clinical and diabetes-related factors with work ability in a sample of working adults with diabetes. Background: Adults with diabetes may face challenges in the workplace, including managing their diabetes and overall physical and mental health. Methods: This was a cross-sectional design with a sample of 101 working adults. Subjects completed valid and reliable surveys assessing depressive symptoms, diabetes self-care, fear of hypoglycemia, diabetes distress, cardiovascular health using American Heart Association's Life's Simple 7 (range 0–7) and work ability. Factors significantly associated with work ability at bivariate level were included in linear and logistic regression. Results: The majority of the sample was female (65%) (mean age 54.1 ± 10.5), White (74%), non-Hispanic (93%), worked full-time (65%) and had type 2 diabetes (87%) (mean duration 12.4 ± 9.5 years). The majority (55%) had low diabetes distress, but 24% had high distress and 28% had depressive symptoms. The sample achieved 2.5 ± 1.4 ideal AHA heart health indices and 33% rated their work ability as excellent. In linear regression higher depressive scores were associated with lower work ability scores (b = −0.45, p = .002). In logistic regression, scores on heart health (OR = 1.4; 95%CI:1.0–1.9, p = .03) and diabetes distress (OR = 0.6, 95%CI:0.4–0.9, p = .048) were significantly associated with work ability at its best. Conclusion: Both cardiovascular and psychological health may impact work ability in adults with diabetes. Routinely screening for diabetes distress and depression while also promoting ideal cardiovascular health may improve overall health and work ability in this population.

Abstract

The aims were to implement physical activity (PA) screening as part of the electronic kiosk check-in process in an adult preventive cardiology clinic and assess factors related to patients’ self-reported PA. The 3-question physical activity vital sign (PAVS) was embedded in the Epic electronic medical record and included how many days, minutes and intensity (light, moderate, vigorous) of PA patients conducted on average. This is a data analysis of PAVS data over a 60-day period. We conducted multivariable logistic regression to identify factors associated with not meeting current PA recommendations. Over 60 days, a total of 1322 patients checked into the clinic using the kiosk and 72% (n = 951) completed the PAVS at the kiosk. The majority of those patients were male (58%) and White (71%) with a mean age of 64 ± 15 years. Of the 951 patients completing the PAVS, 10% reported no PA, 55% reported some PA, and 35% reported achieving at least 150 min moderate or 75 min vigorous PA/week. In the logistic model, females (AOR = 1.4, 95%CI: 1.002–1.8, p =.049) vs. males, being Black (AOR = 2.0, 95%CI: 1.04–3.7, p =.038) or ‘Other’ race (AOR = 1.5, 95%CI: 1.02–2.3, p =.035) vs. White, unknown or other types of relationships (AOR = 0.0.26, 95%CI: 0.10–0.68, p =.006) vs. being married/partnered, and those who were retired (AOR = 1.9, 95% CI: 1.4–2.8, p <.001) or unemployed (AOR = 2.2, 95%CI: 1.3–3.7, p =.002) vs. full-time workers were associated with not achieving recommended levels of PA. The PAVS is a feasible electronic tool for quickly assessing PA and may prompt providers to counsel on this CVD risk factor.

Abstract

Background/Objective Insomnia and insomnia symptoms are highly prevalent in persons with heart failure (HF), and they are associated with several untoward outcomes. The purpose of this integrative review is to describe the correlates, predictors, and outcomes of insomnia and insomnia symptoms in persons with HF. Methods Using integrative review methods, an extensive electronic search of 5 databases was conducted for the period of 2000-2019. Sixteen studies were identified that met the inclusion criteria for review and investigated insomnia or insomnia symptoms in HF. Results Various sociodemographic factors, chronic comorbidities, clinical factors, and cognitive-behavioral factors are correlates and predictors of insomnia and insomnia symptoms in persons with HF. Depression, fatigue, daytime sleepiness, poor self-reported physical functioning, decreased exercise capacity, cardiac events, and poor health-related quality of life are significant outcomes of insomnia and insomnia symptoms in persons with HF. The associations of insomnia and insomnia symptoms with age, sex, sleep-disordered breathing, and cognition were not consistent across all studies. Conclusion Larger studies with diverse age and race groups as well as longitudinal studies and designs that test mediation effects are needed to disentangle complex relationships between insomnia and insomnia symptoms and several of their potential predictors and correlates in HF.

Abstract

Background: Hypertrophic cardiomyopathy (HCM) is the most common inherited cardiac disorder globally, affecting 0.2% to 0.5% of individuals. Existing clinical HCM guidelines do not address diverse populations, specifically minority groups who often experience health disparities. Objective: The aim of this study was to describe the state of the science of HCM in black populations. Methods: This integrated review guided by Whittemore and Knafl's methodology included literature search of multiple databases, data evaluation, and analysis. Publications between 2000 and 2020 were included if they addressed HCM cardiac anatomic manifestations, disease course, symptoms, quality of life, or outcomes in black populations. Results: Six articles met the inclusion criteria. Overall, blacks are underrepresented in HCM research. Certain HCM structural phenotypes are more commonly exhibited in blacks, and physiology drives HCM treatment. Sudden death events and all-cause mortality do not differ between blacks and whites with HCM. Fewer blacks with HCM undergo genetic testing than whites with HCM. The lack of diversity in general genomic databases has resulted in reclassification of several genetic variants identified as more common in blacks. Conclusions: Blacks are underrepresented in HCM research, even those focused on elucidating HCM manifestations, disease course, and outcomes in black populations. This may be due in part to HCM research that is largely generated from specialty centers that can require patients to navigate complex healthcare systems to reach expert HCM care. Longitudinal studies with large samples of blacks with HCM are necessary to elucidate how HCM affects this population.

Abstract

Background: Although many adults with diabetes are productive members of the workforce, loss of work productivity has been associated with diabetes. The purpose of this study was to explore the interrelationship between work-related factors and current work ability in adults with type 1 diabetes (T1D) and type 2 diabetes (T2D). Methods: This study used a convergent mixed-method design. We assessed the relationship between work-related factors and work ability using bivariate statistics and logistic regression. Work ability was measured using the Work Ability Index and Karasek’s Job Content Questionnaire (JCQ) was employed to measure job demands. Qualitative interviews (n = 30) explored the relationship between diabetes and work. Findings: The sample (n =101) was mostly female (65%) and White (74%). Most worked full-time (65%), had T2D (87%), an elevated glycated hemoglobin A1c ≥ 7% (56%), and were overweight (22%) or obese (68%). Only 33% of subjects self-reported their work ability as excellent. Four of the JCQ subscales (skill discretion, psychological demands, supervisor support, and coworker support), and work–life balance were significantly associated with work ability (all p <.05). In adjusted models, better coworker support (OR = 1.4; 95% CI = [1.04, 1.9]) and better work–life balance (OR = 1.3; 95% CI = [1.1, 1.5]) were associated with excellent work ability. Many stated their diabetes impacted them at work and spoke of the effects of stress. Few engaged in workplace wellness programs. Conclusion/Application to Practice: Social support and work–life balance were associated with excellent work ability. Engaging workers with diabetes in workplace educational programs may take strategic efforts by occupational health staff.