Heart Failure Self-management Research Articles

American College Of Cardiology CardioSmart Improves Confidence In Heart Failure Self-Management

American College Of Cardiology CardioSmart Improves Confidence In Heart Failure Self-Management

Abstract 15791: Higher Diet Quality Associates With Lower Inflammation in Black Adults With Heart Failure

Introduction: Heart failure (HF) is associated with a chronic inflammatory state. Diet-derived metabolites, such as trimethylamine-N-oxide (TMAO), may be associated with chronic inflammation. Most Americans consume a pro-inflammatory diet with high intakes of sugar and processed foods, but adherence to high quality diet patterns may be beneficial in HF-associated inflammation. The Healthy Eating Index (HEI) and the Alternative Healthy Eating Index (AHEI) measure adherence to the Dietary Guidelines for Americans with greater adherence associated with lower inflammation and better HF outcomes but is understudied in Black adults. Hypothesis: Higher adherences to the HEI or the AHEI is inversely associated with TMAO and inflammation measured by TNF-α. Methods: Participants included Black adults living with HF (N=36, mean age 57 years, 64% women); HEI and AHEI diet scores were derived from a food frequency questionnaire (FFQ). TMAO and TNF-α were analyzed with dried blood spots and immunoassays. A lifestyle factor (LIS) score consisting of alcohol intake, body mass index, physical activity, and smoking was measured. Analyses included correlational and regression analyses. Results: Regression models explained the variance of TMAO and TNF-α levels. HEI and related covariates (AHEI, LIS) explained 15.9% change in TMAO levels: F(3,30)=3.09, p<.042. Standardized beta coefficients were at least 0.3 and higher. HEI scores and related covariates explained 17.2% change in TNF-α levels: F(4,29)=2.71, p<.050. There was an inverse correlation between AHEI scores and TNF-α: r=-.36, p=.031. Conclusions: Higher diet quality, as measured by the HEI/AHEI, was associated with lower levels of TNF-α. The anti-inflammatory benefits of adherence to healthy eating patterns are important in the self-management of HF, yet these foods may include precursors for TMAO levels. Thus, healthy eating should be balanced with an overall dietary plan that attends to the quantity and nature of foods consumed by those with HF. Interventions which promote adherence to high quality diet patterns are needed in adults with HF, particularly in Black adults who bear an excess burden of disease. More research to understand which specific diet components decrease inflammation in HF are warranted.

Abstract 13353: Sleep Health Phenotypes Predict Symptoms, Cognitive Function, and Adverse Events in Patients With Heart Failure

Introduction: Poor sleep contributes to outcomes in heart failure (HF). Phenotypes reflecting multi-dimensional sleep health may better predict outcomes and support more precise interventions than single measures, but few studies have used this approach. Aims: 1) Describe phenotypes of sleep health and 2) Evaluate whether sleep health phenotypes predict symptoms, cognitive function, and time to first hospitalization and emergency department (ED) visits among HF patients. Methods: We performed secondary analysis of a randomized controlled trial of cognitive behavioral therapy for insomnia compared with HF self-management education with HF patients. We measured sleep [rest-activity rhythms, sleep duration, and efficiency (2-week wrist actigraphy/follow-ups); insomnia; CPAP use; and daytime sleepiness (Epworth Scale)]; perceived stress; fatigue; anxiety; depression; pain; and cognitive ability (Patient-Reported Outcomes Measurement System: PROMIS) at baseline and 3, 6, and 12 months post-intervention and tracked hospitalizations and ED visits. We used K-means clustering to identify sleep phenotypes and generalized linear mixed models and Cox models to predict outcomes, adjusted for demographic factors. Results: Among 166 participants (M age = 63.2 (SD = 12.8) years; 57% female; 23% NYHA Class 3/4 HF; 35% EF less than 45%), there were 4 phenotypes [poor sleep (14%); short sleep/high sleep efficiency (39%); long sleep/low sleep efficiency (25%); and healthy sleep (21%)] at baseline. The healthy sleep group was older and had lower BMIs and less comorbidity and had better outcomes compared to all other phenotypes. In particular, this group had better fatigue (-2.43±0.87), pain (-1.86±1.05), anxiety (-1.50±0.89), stress (-1.46±0.69), and cognitive ability (1.76±0.80) than the poor sleep group. The poor sleep group had shorter time to adverse events compared to the other phenotypes (Hazard ratios of 0.41 to 0.56 for hospitalizations and 0.35 to 0.60 for ED visits). Conclusions: Multidimensional aspects of sleep predict HF outcomes and may improve on prediction with single measures. Future tailored sleep interventions focused on phenotypes may more precisely improve outcomes among HF patients than traditional approaches.

Can a Targeted Social Media Campaign Increase Reach of, and Engagement With, Heart Failure Self-Management Resources in Culturally and Linguistically Diverse Communities in Victoria, Australia? An Evaluation Including Cost.

This study investigates whether a targeted social media campaign increases reach and engagement of heart failure self-management educational resources among culturally and linguistically diverse communities in Victoria, Australia. A targeted six-week Facebook social media campaign (from 3 October 2022 to 13 November 2022) was performed using the Precision Public Health Framework. Animated heart failure educational videos were developed, translated, and publicised among Mandarin-, Vietnamese- and English-speaking communities in Victoria, Australia. Data from Facebook, Google Analytics and social marketing costs were analysed. An independent, two sample t-test was applied to investigate differences in the performance (views and cost-per-click) of the English and translated Mandarin and Vietnamese social media campaigns. Webpage views (of the promoted heart failure webpage) during the campaign were compared to the same period 12 months prior. A total of 664,434 English and 182,294 translated Vietnamese and Mandarin video advertisements were placed and seen in individuals' social media feeds (impressions) over the six weeks. Per capita reach was proportionally higher for Vietnamese and Mandarin video advertisements (54% versus 15%). The percentage of those who watched the educational video in the social media posts, for at least 15 seconds (a 'ThruPlay'), was significantly higher in Mandarin and Vietnamese-speaking communities (75% versus 40% among the English-speaking community p<0.0001). However, those viewing in English had significantly longer engagement and watched at least half of the video (2.5% versus Vietnamese and Mandarin viewers (0.31%), p<0.0001). The click-through rate and cost-per-click were significantly higher for the translated social media posts compared with the English (0.77% vs 0.62%, p=0.0185 and AUD$4.48 vs AUD$3.22, p<0.0001). A targeted six-week Facebook social media campaign using translated video animations in Vietnamese and Mandarin had significantly higher reach, initial views (first 15 seconds) and higher click-through rates, but fewer views of at least half of the video, compared with the Facebook English videos. Higher costs-per-click were associated with the translated campaign. Further research is needed to understand the extent that social media translated campaigns can influence health behaviour.

Effect of patient education on Number of Re-Hospitalizations in Patient with Chronic Heart Failure Disease

Background: Heart failure is a global health issue that affects approximately 26 million individuals worldwide. The majority of individuals with heart failure live with a significant symptom burden, comorbidities, and impairment; up to 88% of persons with heart failure experience breathlessness at repose. Objectives: determination the Effect of patients education on number of re-hospitalizations in Patients With chronic Heart Failure disease. Methodology: A randomized control trail (RCT) was conducted in Holy Karbala City in Iraq. A purposive sample of heart failure patients in clinic and out clinic. Then based of Block Random Assignment, the patients were divided into two groups, the control group consist of (35) patients and intervention group consist of (35) patients, the patients in study group exposed to the health education about heart failure self-management . Data were collected by using demographic questionnaire included age, gender, marital status, level of education, duration of heart disease, side of heart failure, Occupation Status, and number of hepatizations during last three month. A descriptive and inferential data statistical technique was used to analyze the data. Results: The results of study showed a significant decreasing number of hospitalization Among patients in intervention group comparing with those in a control group at a p-value less than 0.01. Conclusion: Implementation of Patient education can decrease in number of re-hospitalizations of patients with chronic heart failure

Costs and Resource Utilization of People with Stable Heart Failure and Insomnia: Evidence from a Randomized Trial of Cognitive Behavioral Therapy for Insomnia

ABSTRACT Objectives Nearly half of patients with chronic heart failure (HF) report insomnia symptoms. The purpose of this study was to examine the impact of CBT-I versus HF self-management on healthcare costs and resource utilization among patients with stable chronic HF who participated in a clinical trial of the effects of CBT-I compared to HF self-management education (attention control) over 1 year. Methods We measured resource utilization as self-reported (medical record review) physician office visits, emergency department visits, and inpatient admissions at 3-month intervals for 1 year after enrollment. Costs were estimated by applying price weights to visits and adding self-reported out-of-pocket and indirect costs. Univariate comparisons were made of resource utilization and costs between CBT-I and the HF self-management group. A generalized linear model (GLM) was used to model costs, controlling for covariates. Results The sample included 150 patients [79 CBT-I; 71 self-management (M age = 62 + 13 years)]. The CBT-I group had 4.2 inpatient hospitalizations vs 4.6 for the self-management group (p = .40). There were 13.1 outpatient visits, in the CBT-I compared with 15.4 outpatient visits (p-value range 0.39–0.81) for the self-management group. Total costs were not significantly different in univariate or ($7,813 CBT-I vs. $7,538 self-management), p = .96) or multivariable analyses. Conclusions Among patients with both HF and insomnia, CBT-I and HF self-management were associated with similar resource utilization and total costs. Additional research is needed to estimate the value of CBT-I relative to usual care and other treatments for insomnia in patients with HF.

Relationship Between Symptom Burden and Self-Management Among Patients with Chronic Heart Failure: A Cross-Sectional Study.

Chronic heart failure (CHF) is a cardiovascular disease that seriously jeopardizes global human health. Studies indicate that good self-management can be effective in controlling disease symptoms. However, there is still insufficient evidence on the association between self-management and symptom burden among CHF patients. This study aimed to observe and assess the correlation of the self-management with the symptom burden and each dimension status in patients with CHF. This was a cross-sectional study. Data were collected in-hospital using convenience sampling, and 128 patients with CHF were included. A general data questionnaire was used to collect demographic and disease-related data. The Memorial Symptom Assessment Scale-Heart Failure was used to measure patients' symptom burdens. The Heart Failure Self-Management Scale was used to measure the self-management level of patients. The correlation between self-management and symptom burden was analyzed using the Spearman correlation. The total scores for symptom burden and self-management were 1.26 ± 0.49 and 49.97 ± 7.14, respectively. The total score of self-management was negatively correlated with that of symptom burden. The univariate linear regression analysis indicated that age, place of residence, smoking, residence status, New York Heart Association grade of cardiac function, and attitude toward the disease were risk factors for symptom burden. The multiple linear regression analysis indicated that the regression model with symptom burden as a dependent variable included three variables: drug management, symptom management, and attitude toward the disease. Hospitalized patients with CHF had heavy overall symptom burdens, and their self-management levels were moderate to low. There was a negative correlation between the total self-management score and each dimension of symptom burden.

Raising Awareness of Heart Failure Self-management Educational Resources Using Social Media in Culturally and Linguistically Diverse Populations

Raising Awareness of Heart Failure Self-management Educational Resources Using Social Media in Culturally and Linguistically Diverse Populations

EE110 Costs and Resource Utilization of People with Stable Heart Failure and Insomnia: Evidence from a Randomized Trial

Nearly half of patients with chronic heart failure (HF) report insomnia symptoms, and cognitive behavioral therapy for insomnia (CBT-I) has been shown to be efficacious for treating insomnia in the presence of comorbid conditions. This study examined the impact of CBT-I vs HF self-management on health care costs and resource utilization among patients with stable chronic heart failure.

0326 Symptom trajectories in adults with stable heart failure and insomnia: Evidence from a randomized controlled trial of CBT-I

Abstract Introduction Cognitive behavioral therapy for insomnia (CBT-I) improves individual symptoms of fatigue and daytime sleepiness; however, little is known how CBT-I improves multiple co-occurring daytime symptoms. The purposes of this study are to (1) identify daytime symptom trajectories in adults with insomnia and stable chronic heart failure (HF) over one year, and (2) determine how symptom trajectories vary based on participation in CBT-I or HF self-management education (attention control condition). Methods We conducted a retrospective analysis of data from a randomized controlled trial that looked the sustained effects of CBT-I compared to HF self-management over one year (NCT02660385). We measured daytime symptoms (fatigue, depression, anxiety, dyspnea, pain, and daytime sleepiness) at baseline (pre-treatment) and 3, 6 and 12 months. Symptom cluster trajectory were identified using group-based trajectory modeling, and the association with CBT-I was examined using logistic regressions. Results We randomized 175 participants (M age=63.0 (12.9) years, 57% men). We found four daytime symptom cluster trajectories, (A) low improving symptoms (N = 67, 38.3%); (B) low psychological symptoms and high improving physical symptoms (N = 40, 22.8%); (C), high improving symptoms (N = 42, 24.0%); and (D) high not improving symptoms (N = 26, 14.9%). There was no statistically significant difference between CBT-I and HF self-management across 4 symptom trajectories (p = .2509). However, people who received CBT-I vs. HF self-management education had higher odds of belonging to trajectory A compared to B/C/D after controlling for baseline fatigue (OR = 3.27 95% Confidence Intervals [1.39, 7.68]). Conclusion Most participants experienced improved daytime symptom profiles over 12 months after both interventions. Participants in the CBT-I group experienced symptom improvement even when they started with low symptoms. Support (if any) National Institute of Nursing Research [R01NR016191 and P20NR014126].

0395 Effects of Insomnia and Rest-Activity on Hospitalizations and Emergency Department Visits in People with Stable Heart Failure

Abstract Introduction People with heart failure (HF) have frequent hospitalizations, and emergency department (ED) visits. We examined the effects of insomnia and rest-activity rhythms (RARs) on time to hospitalizations and ED visits after controlling for other known risk factors among participants in a randomized controlled trial of cognitive behavioral therapy for insomnia compared to heart failure self-management education (attention control). Methods The analysis included 168 HF patients who had available medical records for dates of hospitalization, ED visit, transplant, and death from a randomized clinical trial for insomnia of people with HF and insomnia. The known risk factors included age, sex, New York Heart Association (NYHA) Class, ejection fraction, and comorbid conditions. We used the insomnia severity index (ISI) and evaluated the strength of RAR using the ratio of the amplitude to the MESOR estimated with cosinor analysis with activity counts from a wrist-actigraph worn for at least five consecutive days. Cox proportional hazard models were used to examine ­insomnia and the RAR metrics with the known risk factors on time to first hospitalization, ED visit, transplant, and death. Results Eighty-five (50.1%) had at least one hospitalization, and ninety-one (54.2%) participants had an ED visit. Approximately 42% of the participants were admitted to the hospital due to cardiac events. Older age, male sex, higher NYHA, and greater comorbidity were associated with earlier hospitalization or ED visits. After controlling for those risk factors, stronger RAR was associated with later time to hospitalization, and ED visit with hazard ratios (HRs) of 0.26 (95% CI=[0.07, 0.91]) and 0.25 (95% CI=[0.07, 0.89]); higher insomnia severity (ISI ≥22) was associated with shorter time to ED visits, with an HR of 2.28 (95% CI=[1.19, 4.38]). Conclusion In addition to known demographic and clinical risk factors, insomnia severity and RAR predict hospitalizations and ED visits in people with HF. Further research is necessary to assess the biological mechanism of the associations and examine whether the effects of the risk factors could be modified by improving insomnia severity and RAR in people with HF. Support (if any) This study was financially supported by grants R01NR016191 and P20NR014126 from NIH/NINR.

Patient perspectives on the use of mobile apps to support heart failure management: A qualitative descriptive study.

Adherence to diet and medical therapies are key to improving heart failure (HF) outcomes; however, nonadherence is common. While mobile apps may be a promising way to support patients with adherence via education and monitoring, HF patient perspectives regarding the use of apps for HF management in unknown. This data is critical for these tools to be successfully developed, implemented, and adopted to optimize adherence and improve HF outcomes. To determine patients' needs, motivations, and challenges on the use of mobile apps to support HF management. A qualitative descriptive study using focus groups (n = 4,60 minutes) was conducted among HF patients from outpatient HF clinics in Toronto, Canada. The Diffusion of Innovation theory informed a ten-question interview guide. Interview transcripts were independently coded by two researchers and analyzed using content analysis. Nineteen HF patients (65 ± 10 yrs, 12 men) identified a total of four key themes related to the use of mobile apps. The theme 'Factors impacting technology use by patients' identified motivations and challenges to app use, including access to credible information, easy and accessible user-interface. Three themes described patients' needs on the use of mobile apps to support HF management: 1) 'Providing patient support through access to information and self-monitoring', apps could provide education on HF-related content (e.g., diet, medication, symptoms); 2) 'Facilitating connection and communication', through information sharing with healthcare providers and connecting with other patients; 3) 'Patient preferences', app features such as reminders for medication, and visuals to show changes in HF symptoms were favoured. HF patients perceive several benefits and challenges to app use for HF self-management. Capitalizing on the benefits and addressing the challenges during the app development process may maximize adoption of such tools in this patient population.

Sensor-Controlled Digital Game for Heart Failure Self-management: Protocol for a Randomized Controlled Trial.

Heart failure (HF) is the leading cause of hospitalization among older adults in the United States. There are substantial racial and geographic disparities in HF outcomes, with patients living in southern US states having a mortality rate 69% higher than the national average. Self-management behaviors, particularly daily weight monitoring and physical activity, are extremely important in improving HF outcomes; however, patients typically have particularly low adherence to these behaviors. With the rise of digital technologies to improve health outcomes and motivate health behaviors, sensor-controlled digital games (SCDGs) have become a promising approach. SCDGs, which leverage sensor-connected technologies, offer the benefits of being portable and scalable and allowing for continuous observation and motivation of health behaviors in their real-world contexts. They are also becoming increasingly popular among older adults and offer an immersive and accessible way to measure self-management behaviors and improve adherence. No SCDGs have been designed for older adults or evaluated to test their outcomes. This randomized clinical trial aims to assess the efficacy of a SCDG in integrating the behavioral data of participants with HF from weight scale and activity tracker sensors to activate game progress, rewards, and feedback and, ultimately, to improve adherence to important self-management behaviors. A total of 200 participants with HF, aged ≥45 years, will be recruited and randomized into 2 groups: the SCDG playing group (intervention group) and sensor-only group (control group). Both groups will receive a weight scale, physical activity tracker, and accompanying app, whereas only the intervention group will play the SCDG. This design, thereby, assesses the contributions of the game. All participants will complete a baseline survey as well as posttests at 6 and 12 weeks to assess the immediate effect of the intervention. They will also complete a third posttest at 24 weeks to assess the maintenance of behavioral changes. Efficacy and benefits will be assessed by measuring improvements in HF-related proximal outcomes (self-management behaviors of daily weight monitoring and physical activity) and distal outcomes (HF hospitalization, quality of life, and functional status) between baseline and weeks 6, 12, and 24. The primary outcome measured will be days with weight monitoring, for which this design provides at least 80% power to detect differences between the 2 groups. Recruitment began in the fall of 2022, and the first patient was enrolled in the study on November 7, 2022. Recruitment of the last participant is expected in quarter 1 of 2025. Publication of complete results and data from this study is expected in 2026. This project will generate insight and guidance for scalable and easy-to-use digital gaming solutions to motivate persistent adherence to HF self-management behaviors and improve health outcomes among individuals with HF. ClinicalTrials.gov NCT05056129; https://clinicaltrials.gov/ct2/show/NCT05056129. DERR1-10.2196/45801.

Implementation of a heart failure educational intervention for patients with recent admissions for acute decompensated heart failure.

This study examined whether implementation of a heart failure (HF) education class targeted at patients and their caregivers decreased worsening HF, emergency department (ED) visits and hospital admissions, and improved patient quality of life and confidence in disease state management. Patients with HF and a recent hospital admission for acute decompensated heart failure (ADHF) were offered an educational course covering HF pathophysiology, medications, diet, and lifestyle modifications. Patients completed surveys before and 30 days after completion of the educational course. Outcomes of participants at 30 and 90 days after class completion were compared against outcomes for the same patients at 30 and 90 days prior to course attendance. Data was collected using electronic medical records, in-person during the class, and during a phone follow-up. The primary outcome was a composite of hospital admission, ED visit, and/or outpatient visit for HF at 90 days. A total of twenty-six patients attended classes between September 2018 and February 2019 and were included in the analysis. Median age was 70 years, and most patients were white. All patients were American College of Cardiology/American Heart Association (ACC/AHA) Stage C and a majority had New York Heart Association (NYHA) Class II or III symptoms. Median left ventricular ejection fraction (LVEF) was 40%. The primary composite outcome occurred significantly more frequently in the 90 days prior to class attendance than in the 90 days following attendance (96% vs. 35%, p < 0.01). Likewise, the secondary composite outcome occurred significantly more frequently in the 30 days before class attendance than in the 30 days following (54% vs. 19%, p = 0.02). These results were driven by a decrease in admissions and ED visits for HF symptoms. Survey scores related to patient HF self-management practices and patient confidence in ability to self-manage HF increased numerically from baseline to 30 days after class attendance. Implementation of an educational class for HF patients improved patient outcomes, confidence, and ability to self-manage HF. Hospital admissions and ED visits also decreased. Adoption of such a course might help to decrease overall health care costs and improve patient quality of life.

What are key characteristics of adults with advanced heart failure discharged from ICU?

As the number of people with heart failure and treatment complexity increases, many hospitals are implementing Advanced Heart Failure Intensive Care Units (AHFICU). However, little evidence concerning the clinical characteristics of people admitted to AHFICUs exists. Understanding the clinical characteristics of people admitted to the AHFICU will assist nurses with implementing tailored interventions to ensure high-quality care delivery. The purpose of this study was to describe the clinical characteristics of people who are admitted to and discharged from an AHFICU. Baseline data from a longitudinal descriptive study were collected on adults (N = 43) admitted to an AHFICU. Heart failure severity, self-management ability, cognition, sleep quality, and other clinical characteristics were assessed. Most study participants were New York Heart Association functional class IV (n = 24) or class III (n = 14), indicating poor functional capacity. Over half had mild cognitive impairment and poor sleep quality was prevalent (92.7%). Participants had adequate levels of heart failure knowledge, but low levels of heart failure self-management decision-making and ability. Interventions to address the unique clinical characteristics of AHFICU patients include sleep hygiene, integration of cognitive, sleep, and self-management assessments into the electronic medical record. Addressing the unique clinical needs of people with heart failure will lead to patient-centered, evidence-based, and safe care. Understanding characteristics of this population addresses this evidence gap and targeted clinical interventions to address unique discharge needs of this population are proposed. Sleep quality education should be done throughout hospitalization on sleep strategies and self-management coaching to facilitate adoption of new sleep routines. Healthcare providers should ensure each patient has care support upon discharge and take cognitive status into consideration during teaching. Addressing self-management readiness should include providing scenarios as part of discharge preparation. Providers must include addressing comorbidities and how they may affect heart failure self-management, such as teaching about sleep apnea device use and encouraging compliance.

A study of physically active versus inactive persons living with congestive heart failure during the covid-19 pandemic

Covid-19 presented tremendous challenges to healthcare systems throughout the world. In particular, the presence of comorbid conditions became a significant factor due to the greatly increased risk of hospitalization and death in people living with diseases such as Congestive Heart Failure. While the literature has long indicated relationships between psychological challenges (depression and anxiety), the pandemic represented a particular challenge due to the way that it limited individual’s ability to engage in activities outside of the home. While all activities were limited, exercise presented a particular challenge as it is so essential to Congestive Heart Failure self-management. The current study used a quantitative descriptive design to examine the relationship between psychological variables and heart failure self-management. The study indicated relatively mild alterations in depression and anxiety. However, the results indicated a significant relationship between physical activity during the pandemic and having engaged in Cardiac Rehabilitation prior to the lockdowns (p &lt; .05). Further, the results indicated that self-efficacy related to self-management was higher in patients who engaged in higher activity levels (p &lt; .001). The study supported the importance of cardiac rehabilitation and subsequent exercise in establishing self-efficacy and beneficial outcomes in patients living with Congestive Heart Failure.

Self-management in heart failure using mHealth: A content validation

AimTo describe the development of a mobile health application –mICardiApp- designed by a multidisciplinary professional team and patients with heart failure and to evaluate its content validity. MethodsCritical reviews of the literature, semi-structured interviews with patients, and user stories guided the development of the content of the mobile application. These contents were refined and validated through a modified Delphi process. An expert panel of healthcare and social care professionals together with patients and academics evaluated the content through two content validity indicators, relevance, and adequacy, and provided narrative feedback. The content validity of the app and each screen was determined by calculating the Content Validity Index (CVI). Similarly, the Adequacy Index (AI) was analyzed. ResultsThe developed app is composed by 8 topics: (1) available resources, (2) cardiac rehabilitation, (3) control of signs and symptoms, (4) emotional support, (5) learning and having fun, (6) medication, (7) nutrition, and (8) physical activity. The results demonstrated high CVI of the screens and the full app. 57 of the 59 screens in the app reached an excellent CVI ≥ 0.70 for both relevance and adequacy, except for 2 screens. The CVI Average Method of the app was 0.851. ConclusionsmICardiApp is presented as an application to improve health literacy and self-management of patients with multimorbidity and heart failure, with proven validation.

Nonpharmacological Interventions for Preventing Rehospitalization Among Patients with Heart Failure: A Systematic Review and Meta-Analysis.

Heart failure (HF) is the most common condition for rehospitalization among people aged ≥65 years in the United States, with 35,197,725 hospitalizations between 2014 and 2017. Hospitalized patients with HF have the highest 30-day readmission rate (25%). Overall, HF management, despite its progress, remains a challenge. Although several studies have evaluated interventions designed to reduce HF-related hospital readmissions, research comparing their effectiveness remains insufficient. This systematic review and meta-analysis focused on studies that investigated the effectiveness of nonpharmacological interventions (NPIs) on reducing rehospitalization among patients with HF. This review conformed to the preferred reporting items for systematic reviews and meta-analyses guidelines, used four databases: Cumulative index to Nursing and Allied Health Literature, PubMed, Cochrane, and Web of Science. Studies were included in the review according to the following criteria: (a) included only randomized control trials (RCTs), (b) included participants with HF who were over 18 years of age, (c) peer-reviewed, (d) written in English, and (e) rehospitalizations occurring within 30-day, 90-day, and 1 year of discharge from the initial hospitalization. Fourteen studies were included, with a total of 2,035 participants. Meta-analysis showed that rehospitalization was different between the intervention and usual care groups. The odds ratio was 0.54 (95% confidence interval [0.36, 0.82, p < 0.01]). NPIs designed to increase HF knowledge and self-management may effectively reduce rehospitalization among HF patients. NPIs can be delivered at the patient's home through visits, phone calls, or digital platforms and technologies.

A Voice App Design for Heart Failure Self-management: Proof-of-Concept Implementation Study.

Voice user interfaces are becoming more prevalent in health care and are commonly being used for patient engagement. There is a growing interest in identifying the potential this form of interface has on patient engagement with digital therapeutics (DTx) in chronic disease management. Making DTx accessible through an alternative interaction model also has the potential to better meet the needs of some patients, such as older adults and those with physical and cognitive impairments, based on existing research. This study aimed to evaluate how participants with heart failure interacted with a voice app version of a DTx, Medly, through a proof-of-concept implementation study design. The objective was to understand whether the voice app would enable the participants to successfully interact with the DTx, with a focus on acceptability and feasibility. A mixed methods concurrent triangulation design was used to better understand the acceptability and feasibility of the use of the Medly voice app with the study participants (N=20) over a 4-week period. Quantitative data included engagement levels, accuracy rates, and questionnaires, which were analyzed using descriptive statistics. Qualitative data included semistructured interviews and were analyzed using a qualitative descriptive approach. The overall average engagement level was 73% (SD 9.5%), with a 14% decline between results of weeks 1 and 4. The biggest difference was between the average engagement levels of the oldest and youngest demographics, 84% and 43%, respectively, but these results were not significant-Kruskal-Wallis test, H(2)=3.8 (P=.14). The Medly voice app had an overall accuracy rate of 97.8% and was successful in sending data to the clinic. From an acceptability perspective, the voice app was ranked in the 80th percentile, and overall, the users felt that the voice app was not a lot of work (average of 2.1 on a 7-point Likert scale). However, the overall average score for whether users would use it in the future declined by 13%. Thematic analysis revealed the following: the theme feasibility of clinical integration had 2 subthemes, namely users adapted to the voice app's conversational style and device unreliability, and the theme voice app acceptability had 3 subthemes, namely the device integrated well within household and users' lives, users blamed themselves when problems arose with the voice app, and voice app was missing specific, desirable user features. In conclusion, participants were largely successful in using the Medly voice app despite some of the barriers faced, proving that an app such as this could be feasible to be deployed in the clinic. Our data begin to piece together the patient profile this technology may be most suitable for, namely those who are older, have flexible schedules, are confident in using technology, and are experiencing other medical conditions.

Design of a Patient Voice App Experience for Heart Failure Management: Usability Study.

The use of digital therapeutics (DTx) in the prevention and management of medical conditions has increased through the years, with an estimated 44 million people using one as part of their treatment plan in 2021, nearly double the number from the previous year. DTx are commonly accessed through smartphone apps, but offering these treatments through additional platforms can improve the accessibility of these interventions. Voice apps are an emerging technology in the digital health field; not only do they have the potential to improve DTx adherence, but they can also create a better user experience for some user groups. This research aimed to identify the acceptability and feasibility of offering a voice app for a chronic disease self-management program. The objective of this project was to design, develop, and evaluate a voice app of an already-existing smartphone-based heart failure self-management program, Medly, to be used as a case study. A voice app version of Medly was designed and developed through a user-centered design process. We conducted a usability study and semistructured interviews with patients with heart failure (N=8) at the Peter Munk Cardiac Clinic in Toronto General Hospital to better understand the user experience. A Medly voice app prototype was built using a software development kit in tandem with a cloud computing platform and was verified and validated before the usability study. Data collection and analysis were guided by a mixed methods triangulation convergence design. Common themes were identified in the results of the usability study, which involved 8 participants with heart failure. Almost all participants (7/8, 88%) were satisfied with the voice app and felt confident using it, although half of the participants (4/8, 50%) were unsure about using it in the future. Six main themes were identified: changes in physical behavior, preference between voice app and smartphone, importance of music during voice app interaction, lack of privacy concerns, desired reassurances during voice app interaction, and helpful aids during voice app interaction. These findings were triangulated with the quantitative data, and it concluded that the main area for improvement was related to the ease of use; design changes were then implemented to better improve the user experience. This work offered preliminary insight into the acceptability and feasibility of a Medly voice app. Given the recent emergence of voice apps in health care, we believe that this research offered invaluable insight into successfully deploying DTx for chronic disease self-management using this technology.