Cardiovascular disease predominates as the leading health burden among middle-aged and older American adults, but progress in improving cardiovascular health remains slow. Comprehensive, evidenced-based behavioral counseling interventions in primary care are a recommended first-line approach for promoting healthy behaviors and preventing poor cardiovascular disease outcomes in adults with cardiovascular risk factors. Assisting patients to adopt and achieve their health promotion goals and arranging follow-up support are critical tenets of the 5A Model for behavior counseling in primary care. These 2 steps in behavior counseling are considered essential to effectively promote meaningful and lasting behavior change for primary cardiovascular disease prevention. However, adoption and implementation of behavioral counseling interventions in clinical settings can be challenging. The purpose of this scientific statement from the American Heart Association is to guide primary health care professional efforts to offer or refer patients for behavioral counseling, beyond what can be done during brief and infrequent office visits. This scientific statement presents evidence of effective behavioral intervention programs that are feasible for adoption in primary care settings for cardiovascular disease prevention and risk management in middle-aged and older adults. Furthermore, examples are provided of resources available to facilitate the widespread adoption and implementation of behavioral intervention programs in primary care or community-based settings and practical approaches to appropriately engage and refer patients to these programs. In addition, current national models that influence translation of evidence-based behavioral counseling in primary care and community settings are described. Finally, this scientific statement highlights opportunities to enhance the delivery of equitable and preventive care that prioritizes effective behavioral counseling of patients with varying levels of cardiovascular disease risk.
Falls and fear of falling are a major health issue and associated with high injury rates, high medical care costs, and significant negative impact on quality of life. Adults with cardiovascular disease are at high risk of falling. However, the prevalence and specific risks for falls among adults with cardiovascular disease are not well understood, and falls are likely underestimated in clinical practice. Data from surveys of patient-reported and medical record–based analyses identify falls or risks for falling in 40% to 60% of adults with cardiovascular disease. Increased fall risk is associated with medications, structural heart disease, orthostatic hypotension, and arrhythmias, as well as with abnormal gait and balance, physical frailty, sensory impairment, and environmental hazards. These risks are particularly important among the growing population of older adults with cardiovascular disease. All clinicians who care for patients with cardiovascular disease have the opportunity to recognize falls and to mitigate risks for falling. This scientific statement provides consensus on the interdisciplinary evaluation, prevention, and management of falls among adults with cardiac disease and the management of cardiovascular care when patients are at risk of falling. We outline research that is needed to clarify prevalence and factors associated with falls and to identify interventions that will prevent falls among adults with cardiovascular disease.
Purpose: To examine the relationship between nurses’ knowledge, attitudes, and beliefs about medicines, in general, and complementary and alternative medicine (CAM) and identify the predictors of referrals for pain management. Method: This descriptive, correlational study utilized an online survey to collect data from direct care nurses at a large medical center in southeastern United States. The online survey consisted of the Complementary and Alternative Medicines and Beliefs Inventory (CAMBI), the Beliefs about Medicine Questionnaire, and four open-ended questions. Referral data were obtained from the Information Management Department at this medical center. Results: Among the 218 nurses who completed the survey (15.12%), majority (85%) supported CAM use, but only 32% reported utilizing CAM therapies with patients. Medical surgical, emergency department, and perioperative nurses scored higher on their CAMBI total score and were more likely to refer for CAM therapies when compared with intensive care unit nurses. Conclusions: Beliefs about CAM specifically were not related to referrals for CAM therapies. This study suggests the need for further education on the nurse’s role in CAM usage. Understanding the link between nurses’ knowledge, attitudes, and treatment beliefs and their relationship to CAM usage provides direction for future educational interventions.
Background In patients with heart failure (HF), good health-related quality of life (HRQOL) is as valuable as, or more valuable than, longer survival. However, HRQOL is remarkably poor, and HF symptoms are strongly associated with poor HRQOL. Yet, the multidimensional, modifiable predictors have been rarely examined. Objective The aim of this study was to examine the baseline psychosocial, behavioral, and physical predictors of HF symptoms and HRQOL at 12 months and the mediator effect of HF symptoms in the relationship between depressive symptoms and HRQOL. Methods We collected data from 94 patients with HF (mean ± SD age, 58 ± 14 years). Data included sample characteristics, depressive symptoms, perceived control, social support, New York Heart Association (NYHA) functional class, medication adherence, sodium intake, self-care management, and HF symptoms at baseline, as well as HF symptoms and HRQOL at 12 months. Multiple regression analyses were performed to address the purpose. Results Baseline depressive symptoms (P < .001), medication adherence (P = .010), sodium intake (P = .032), and NYHA functional class (P = .040) significantly predicted 12-month HF symptoms, controlling for covariates (F = 7.363, R 2 = 47%, P < .001). Baseline medication adherence (P = .001), NYHA functional class (P < .001), and HF symptoms (P = .013) significantly predicted 12-month HRQOL (F = 10.701, R 2 = 59%, P < .001). Baseline HF symptoms fully mediated the relationship between baseline depressive symptoms and 12-month HRQOL. Conclusion Symptoms of HF and HRQOL could be improved by targeting multidimensional, modifiable predictors, such as self-care, depressive symptoms, and NYHA functional class.
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