Margaret McCarthy

Abstract

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.

Abstract

Aims: The purpose of this study was to assess the levels of cardiovascular health (CVH) of Black and Latino adults with type 2 diabetes (T2D) and examine the association of individual and microsystem level factors with their CVH score. Methods: This was a cross-sectional design in 60 Black and Latino Adults aged 18–40 with T2D. Data were collected on sociodemographic, individual (sociodemographic, diabetes self-management, sleep disturbance, depressive symptoms, quality of life, and the inflammatory biomarkers IL-6 and hs-CRP) and microsystem factors (family functioning), and American Heart Association’s Life’s Simple 7 metrics of CVH. Factors significantly associated with the CVH score in the bivariate analyses were entered into a linear regression model. Results: The sample had a mean age 34 ± 5 years and was primarily female (75%) with a mean CVH score was 8.6 ± 2.2 (possible range of 0–14). The sample achieved these CVH factors at ideal levels: body mass index <25 kg/m2 (8%); blood pressure <120/80 (42%); hemoglobin A1c < 7% (57%); total cholesterol <200 mg/dL (83%); healthy diet (18%); never or former smoker > one year (95%); and physical activity (150 moderate-to-vigorous minutes/week; 45%). In the multivariable model, two factors were significantly associated with cardiovascular health: hs-CRP (B = −0.11621, p <.0001) and the general health scale (B = 0.45127, p =.0013). Conclusions: This sample had an intermediate level of CVH, with inflammation and general health associated with overall CVH score.

Abstract

Background Currently, only about half of U.S. adults achieve current physical activity guidelines. Routine physical activity is not regularly assessed, nor are patients routinely counseled by their healthcare provider on achieving recommended levels. The three-question physical activity vital sign (PAVS) was developed to assess physical activity duration and intensity and identify adults not meeting physical activity guidelines. Clinical decision support provided via a best practice advisory in an electronic health record (EHR) system can be triggered as a prompt, reminding healthcare providers to implement the best practice intervention when appropriate. Remote patient monitoring of physical activity can provide objective data in the EHR. Objectives This study aimed to evaluate the feasibility and clinical utility of embedding the PAVS and a triggered best practice advisor into the EHR in an ambulatory preventive cardiology practice setting to alert providers to patients reporting low physical activity and prompt healthcare providers to counsel these patients as needed. Methods Three components based in the EHR were integrated for the purpose of this study: Patients completed the PAVS through their electronic patient portal prior to an office visit, a best practice advisory was created to prompt providers to counsel patients who reported low levels of physical activity, and remote patient monitoring via Fitbit synced to the EHR provided objective physical activity data. The intervention was pilot-Tested in the Epic EHR for 1 year (July 1, 2021 to June 30, 2022). Qualitative feedback on the intervention from both providers and patients was obtained at the completion of the study. Results Monthly assessments of the use of the PAVS and best practice advisory and remote patient monitoring were completed. Patients' completion of the PAVS varied from 35% to 48% per month. The best practice advisory was signed by providers between 2% and 65% and was acknowledged by 2%-22% per month. The majority (58%) of patients were able to sync a Fitbit device to their EHR for remote monitoring. Discussion Although uptake of each component needs improvement, this pilot demonstrated the feasibility of incorporating a physical activity promotion intervention into the EHR. Qualitative feedback provided guidance for future implementation.

Abstract

BACKGROUND: Social determinants of health (SDOH) may influence the clinical management of patients with heart failure. Further research is warranted on the relationship between SDOH and Ventricular Assist Device (VAD) therapy for heart failure.OBJECTIVES: The purpose of this integrative review was to synthesize the state of knowledge on the intersection of SDOH with VAD therapy.METHODS: Guided by Whittemore and Knafl's methodology, this literature search captured three concepts of interest including VAD therapy, SDOH, and their domains of intersection with patient selection, decision-making, treatment outcome, and resource allocation. CINAHL, Embase, PsycINFO, PubMed, and Web of Science were searched in March 2023. Articles were included if they were peer-reviewed publications in English, published between 2006 and 2023, conducted in the United States, and examined VAD therapy in the context of adult patients (age ≥ 18 years).RESULTS: 22 quantitative studies meeting the inclusion criteria informed the conceptualization of SDOH using the Healthy People 2030 framework. Four themes captured how the identified SDOH intersected with different processes relating to VAD therapy: patient decision-making, healthcare access and resource allocation, patient selection, and treatment outcomes. Most studies addressed the intersection of SDOH with healthcare access and treatment outcomes.CONCLUSION: This review highlights substantial gaps in understanding how SDOH intersect with patient and patient selection for VAD. More research using mixed methods designs is warranted. On an institutional level, addressing bias and discrimination may have mitigated health disparities with treatment outcomes, but further research is needed for implementing system-wide change. Standardized assessment of SDOH is recommended throughout clinical practice from patient selection to outpatient VAD care.

Abstract

Background: Health-related decision-making is a complex process given the variability of treatment options, conflicting treatment plans, time constraints and variable outcomes. This complexity may result in patients experiencing decisional regret following decision-making. Nonetheless, literature on decisional regret in the healthcare context indicates inconsistent characterization and operationalization of this concept. Aim(s): To conceptually define the phenomenon of decisional regret and synthesize the state of science on patients' experiences with decisional regret. Design: A concept analysis. Methods: Rodgers' evolutionary method guided the conceptualization of this review. An interdisciplinary literature search was conducted from 2003 until 2023 using five databases, PubMed, CINAHL, Embase, PsycINFO and Web of Science. The search informed how the concept manifested across health-related literature. We used PRISMA-ScR checklist to guide the reporting of this review. Results: Based on the analysis of 25 included articles, a conceptual definition of decisional regret was proposed. Three defining attributes underscored the negative cognitive-emotional nature of this concept, post-decisional experience relating to the decision-making process, treatment option and/or treatment outcome and an immediate or delayed occurrence. Antecedents preceding decisional regret comprised initial psychological or emotional status, sociodemographic determinants, impaired decision-making process, role regret, conflicting treatment plans and adverse treatment outcomes. Consequences of this concept included positive and negative outcomes influencing quality of life, health expectations, patient-provider relationship and healthcare experience appraisal. A conceptual model was developed to summarize the concept's characteristics. Conclusion: The current knowledge on decisional regret is expected to evolve with further exploration of this concept, particularly for the temporal dimension of regret experience. This review identified research, clinical and policy gaps informing our nursing recommendations for the concept's evolution. No Patient or Public Contribution: This concept analysis examines existing literature and does not require patient-related data collection. The methodological approach does not necessitate collaboration with the public.

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.