The Development and Acceptability of a Mobile Application for Tracking Symptoms of Heart Failure Among Older Adults.

PURPOSE: Heart failure (HF) is common in older adults. With increases in technology use among older adults, mobile applications may provide a solution for older adults to self-manage symptoms of HF. This article discusses the development and acceptability of a HF symptom-tracking mobile application (HF app). METHODOLOGY: The HF app was developed to allow patients to track their symptoms of HF. Thirty (N = 30) older adults completed an acceptability survey after using the mobile app. The survey used Likert items and open-ended feedback questions. RESULTS: Overall, the acceptability feedback from users was positive with participants indicating that the HF app was both easy to use and understand. Participants identified recommendations for improvement including additional symptoms to track and the inclusion of instructions and reminders. CONCLUSION: HF is common in older adults, and acceptability of mobile apps is of key importance. The HF app is an acceptable tool for older patients with HF to self-manage their symptoms, identify patterns, and changes in symptoms, and ultimately prevent HF readmission.

Cognitive Function Predicts Risk for Clinically Significant Weight Gain in Adults With Heart Failure.

BACKGROUND: Few investigators have examined whether cognitive deficits predict poorer self-care of weight management recommendations and weight gain in adults with heart failure. OBJECTIVE: The purposes of this study were (1) to examine whether cognition is associated with adherence to daily weighing and weight gain incidence and (2) to explore self-reported symptom perception and management when a weight increase occurs. METHODS: In this observational study, participants completed neuropsychological testing, were given an electronic scale, and were instructed to record their weight for 21 days. Data for 301 participants were collected at baseline and 3 weeks after weight monitoring. RESULTS: At baseline, only 35% of the enrolled respondents knew when to call their physician for increased weight gain, and 37% of the analyzed sample (n = 110/301) experienced a clinically significant weight gain. Regressions tested whether baseline attention, executive function, or memory predicted adherence to daily weighing and the likelihood of weight gain incidence. In unadjusted and adjusted covariate analyses, none of the cognitive domains predicted adherence to daily weighing (P ≥ .375); however, all 3 cognitive domains predicted an increased risk of a clinically significant weight gain (P ≤ .05). Importantly, 65% of participants with a weight gain did not identify this symptom on self-report questions. CONCLUSIONS: Although cognitive deficits are not associated with adherence to daily weighing, adults with cognitive deficits may be at an increased risk for experiencing a clinically significant weight gain, and most do not perceive symptoms. CLINICAL IMPLICATIONS: Adults with heart failure require more than directions on self-care related to weight monitoring.

Implementation and evaluation of a community-based interprofessional learning activity.

Implementation of large-scale, meaningful interprofessional learning activities for pre-licensure students has significant barriers and requires novel approaches to ensure success. To accomplish this goal, faculty at Case Western Reserve University, Ohio, USA, used the Ottawa Model of Research Use (OMRU) framework to create, improve, and sustain a community-based interprofessional learning activity for large numbers of medical students (N = 177) and nursing students (N = 154). The model guided the process and included identification of context-specific barriers and facilitators, continual monitoring and improvement using data, and evaluation of student learning outcomes as well as programme outcomes. First year Case Western Reserve University medical students and undergraduate nursing students participated in team-structured prevention screening clinics in the Cleveland Metropolitan Public School District. Identification of barriers and facilitators assisted with overcoming logistic and scheduling issues, large class size, differing ages and skill levels of students and creating sustainability. Continual monitoring led to three distinct phases of improvement and resulted in the creation of an authentic team structure, role clarification, and relevance for students. Evaluation of student learning included both qualitative and quantitative methods, resulting in statistically significant findings and qualitative themes of learner outcomes. The OMRU implementation model provided a useful framework for successful implementation resulting in a sustainable interprofessional learning activity.

Dietary sodium adherence is poor in chronic heart failure patients.

BACKGROUND: We sought to determine the rates and predictors of dietary sodium restriction and to evaluate the reliability of 24-hour urine collection as a tool to estimate dietary sodium intake in heart failure (HF) patients. METHODS AND RESULTS: We evaluated the 24-hour urinary sodium excretion of 305 outpatients with HF and reduced ejection fraction who were educated on following a <2 g sodium diet. The mean sodium excretion according to a single sample from each participant was 3.15 ± 1.58 g, and 23% were adherent to the <2 g recommendation. One hundred sixty-eight participants provided 2 samples with urinary creatinine excretion within normative range. Averaging both resulted in a mean sodium excretion of 3.21 ± 1.20 g and lower adherence rates to the <2-gram diet: 14% versus 23% (P = .019). Multivariate logistic regression showed only male sex and higher body mass index (BMI) to be associated with nonadherence (male: odds ratio [OR] 2.20, 95% confidence interval [CI] 1.25-3.88; 1 unit BMI: OR 1.05, 95% CI 1.01-1.10). Bland-Altman plots of urinary sodium and creatinine showed poor reproducibility between samples. CONCLUSIONS: In this chronic HF population, sodium consumption probably exceeds recommended amounts, particularly in men and those with higher BMI. Urine analyses were not highly reproducible, suggesting variation in both diet and urine collection.