Use of mobile applications for heart failure self-management: a systematic review of experimental and qualitative studies (Preprint)

Efficacy of a Telemonitoring System as a Complementary Strategy in the Treatment of Patients With Heart Failure: Randomized Clinical Trial

Episodes of decompensation are the main cause of hospital admissions in patients with heart failure. For this reason, the use of mobile apps emerges as an excellent strategy to improve coverage, real-time monitoring, and timeliness of care. ControlVit is an electronic application for early detection of complications studied within the context of a tertiary university hospital. Patients were randomized to the use of ControlVit versus placebo, during a 6-month follow-up. The primary outcome was the difference in numbers of readmissions and deaths for heart failure between both groups. One hundred forty patients were included (intervention = 71, placebo = 69), with an average age of 66 years old; 71% were men. The main etiology of heart failure was ischemic (60%), whereas the main comorbidities were arterial hypertension (44%), dyslipidemia (42%), hypothyroidism (38%), chronic kidney disease (38%), and diabetes mellitus (27%). The primary outcome occurred more frequently in the control group: readmission due to decompensation for heart failure (control group n = 14 vs intervention group n = 3; P = .0081), and death (control group n = 11 vs intervention group n = 3; P = .024). In heart failure patients, ControlVit is a useful and supplementary tool, which reduces hospital admissions due to episodes of decompensation.

Evaluating a New Digital App-Based Program for Heart Health: Feasibility and Acceptability Pilot Study

BACKGROUND

Cardiovascular disease (CVD) is the leading cause of death in the United States, affecting a significant proportion of adults. Digital health lifestyle change programs have emerged as a promising method of CVD prevention, offering benefits such as on-demand support, lower cost, and increased scalability. Prior research has shown the effectiveness of digital health interventions in reducing negative CVD outcomes. This pilot study focuses on the Lark Heart Health program, a fully digital artificial intelligence (AI)-powered smartphone app, providing synchronous CVD risk counseling, educational content, and personalized coaching.

OBJECTIVE

This pilot study evaluated the feasibility and acceptability of a fully digital AI-powered lifestyle change program called Lark Heart Health. Primary analyses assessed (1) participant satisfaction, (2) engagement with the program, and (3) the submission of health screeners. Secondary analyses were conducted to evaluate weight loss outcomes, given that a major focus of the Heart Health program is weight management.

METHODS

This study enrolled 509 participants in the 90-day real-world single-arm pilot study of the Heart Health app. Participants engaged with the app by participating in coaching conversations, logging meals, tracking weight, and completing educational lessons. The study outcomes included participant satisfaction, app engagement, the completion of screeners, and weight loss.

RESULTS

On average, Heart Health study participants were aged 60.9 (SD 10.3; range 40-75) years, with average BMI indicating class I obesity. Of the 509 participants, 489 (96.1%) stayed enrolled until the end of the study (dropout rate: 3.9%). Study retention, based on providing a weight measurement during month 3, was 80% (407/509; 95% CI 76.2%-83.4%). Participant satisfaction scores indicated high satisfaction with the overall app experience, with an average score of ≥4 out of 5 for all satisfaction indicators. Participants also showed high engagement with the app, with 83.4% (408/489; 95% CI 80.1%-86.7%) of the sample engaging in ≥5 coaching conversations in month 3. The results indicated that participants were successfully able to submit health screeners within the app, with 90% (440/489; 95% CI 87%-92.5%) submitting all 3 screeners measured in the study. Finally, secondary analyses showed that participants lost weight during the program, with analyses showing an average weight nadir of 3.8% (SD 2.9%; 95% CI 3.5%-4.1%).

CONCLUSIONS

The study results indicate that participants in this study were satisfied with their experience using the Heart Health app, highly engaged with the app features, and willing and able to complete health screening surveys in the app. These acceptability and feasibility results provide a key first step in the process of evidence generation for a new AI-powered digital program for heart health. Future work can expand these results to test outcomes with a commercial version of the Heart Health app in a diverse real-world sample.

Clinical impact of remote heart failure management using the multiparameter ICD HeartLogic alert

INTRODUCTION AND OBJECTIVES

The multiparametric implantable cardioverter-defibrillator HeartLogic index has proven to be a sensitive and timely predictor of impending heart failure (HF) decompensation. We evaluated the impact of a standardized follow-up protocol implemented by nursing staff and based on remote management of alerts.

METHODS

The algorithm was activated in HF patients at 19 Spanish centers. Transmitted data were analyzed remotely, and patients were contacted by telephone if alerts were issued. Clinical actions were implemented remotely or through outpatient visits. The primary endpoint consisted of HF hospitalizations or death. Secondary endpoints were HF outpatient visits. We compared the 12-month periods before and after the adoption of the protocol.

RESULTS

We analyzed 392 patients (aged 69±10 years, 76% male, 50% ischemic cardiomyopathy) with implantable cardioverter-defibrillators (20%) or cardiac resynchronization therapy defibrillators (80%). The primary endpoint occurred 151 times in 86 (22%) patients during the 12 months before the adoption of the protocol, and 69 times in 45 (11%) patients (P<.001) during the 12 months after its adoption. The mean number of hospitalizations per patient was 0.39±0.89 pre- and 0.18±0.57 postadoption (P<.001). There were 185 outpatient visits for HF in 96 (24%) patients before adoption and 64 in 48 (12%) patients after adoption (P<.001). The mean number of visits per patient was 0.47±1.11 pre- and 0.16±0.51 postadoption (P<.001).

CONCLUSIONS

A standardized follow-up protocol based on remote management of HeartLogic alerts enabled effective remote management of HF patients. After its adoption, we observed a significant reduction in HF hospitalizations and outpatient visits.

Effectiveness of a Smartphone App-Based Intervention With Bluetooth-Connected Monitoring Devices and a Feedback System in Heart Failure (SMART-HF Trial): Randomized Controlled Trial

BACKGROUND

Current heart failure (HF) guidelines recommend a multidisciplinary approach, discharge education, and self-management for HF. However, the recommendations are challenging to implement in real-world clinical settings.

OBJECTIVE

We developed a mobile health (mHealth) platform for HF self-care to evaluate whether a smartphone app-based intervention with Bluetooth-connected monitoring devices and a feedback system can help improve HF symptoms.

METHODS

In this prospective, randomized, multicenter study, we enrolled patients 20 years of age and older, hospitalized for acute HF, and who could use a smartphone from 7 tertiary hospitals in South Korea. In the intervention group (n=39), the apps were automatically paired with Bluetooth-connected monitoring devices. The patients could enter information on vital signs, HF symptoms, diet, medications, and exercise regimen into the app daily and receive feedback or alerts on their input. In the control group (n=38), patients could only enter their blood pressure, heart rate, and weight using conventional, non-Bluetooth devices and could not receive any feedback or alerts from the app. The primary end point was the change in dyspnea symptom scores from baseline to 4 weeks, assessed using a questionnaire.

RESULTS

At 4 weeks, the change in dyspnea symptom score from baseline was significantly greater in the intervention group than in the control group (mean -1.3, SD 2.1 vs mean -0.3, SD 2.3; P=.048). A significant reduction was found in body water composition from baseline to the final measurement in the intervention group (baseline level mean 7.4, SD 2.5 vs final level mean 6.6, SD 2.5; P=.003). App adherence, which was assessed based on log-in or the percentage of days when symptoms were first observed, was higher in the intervention group than in the control group. Composite end points, including death, rehospitalization, and urgent HF visits, were not significantly different between the 2 groups.

CONCLUSIONS

The mobile-based health platform with Bluetooth-connected monitoring devices and a feedback system demonstrated improvement in dyspnea symptoms in patients with HF. This study provides evidence and rationale for implementing mobile app-based self-care strategies and feedback for patients with HF.

TRIAL REGISTRATION

ClinicalTrials.gov NCT05668000; https://clinicaltrials.gov/study/NCT05668000.

Improving Heart Failure Patient Engagement with Mobile Apps Using Nurse Navigators

ABSTRACT

Providing high-quality heart failure education through smartphone applications (apps) empowers patients to more successfully manage their disease process outside the hospital setting. The purpose of this project was to evaluate the addition of nurse navigators to increase engagement of newly-diagnosed heart failure patients with the GetWell Loop (GWL) technology program that assists patient learning and monitoring for self-care. Adding navigators increased patient engagement with the GWL over the use of the GWL without navigators.

Self-management theories, models and frameworks in patients with chronic heart failure: A scoping review

AIM

The aim of this study was to synthesize the self-management theory, model and frameworks of patients with chronic heart failure, focusing on construction process, methods and existing problems.

BACKGROUND

Although the self-management theories have been created and verified for those patients with chronic heart failure, no reviews have been performed to integrate these theories.

DESIGN

A scoping review of recent literature (without a date limit) was conducted.

METHODS

A comprehensive literature search was performed. If the study reported the construction of a self-management theory, model or framework about chronic heart failure cases, it would be included in the review.

RESULTS

Fourteen studies were included, which could be categorized into situation-specific theory, middle-range theory and other theory models (including conceptual model, hypothetic regression model and identity description model). It also includes the update and validation of theories, the situation-specific theoretical of caregiver contributions extended from situation-specific theories and the nurse-led situation-specific theory in different contexts.

CONCLUSION

Self-management might contribute to start an education programme before patients with chronic heart failure (CHF) begin their chronic disease live as an individual. Our scoping review indicates that a series of self-management theories, models and frameworks for CHF patients have been developed, but more studies are still needed to validate and support these theories according to their cultural contexts.

The impact of eHealth on relationships and trust in primary care: a review of reviews

BACKGROUND

Given the increasing integration of digital health technologies in team-based primary care, this review aimed at understanding the impact of eHealth on patient-provider and provider-provider relationships.

METHODS

A review of reviews was conducted on three databases to identify papers published in English from 2008 onwards. The impact of different types of eHealth on relationships and trust and the factors influencing the impact were thematically analyzed.

RESULTS

A total of 79 reviews were included. Patient-provider relationships were discussed more frequently as compared to provider-provider relationships. Communication systems like telemedicine were the most discussed type of technology. eHealth was found to have both positive and negative impacts on relationships and/or trust. This impact was influenced by a range of patient-related, provider-related, technology-related, and organizational factors, such as patient sociodemographics, provider communication skills, technology design, and organizational technology implementation, respectively.

CONCLUSIONS

Recommendations are provided for effective and equitable technology selection, application, and training to optimize the impact of eHealth on relationships and trust. The review findings can inform providers' and policymakers' decision-making around the use of eHealth in primary care delivery to facilitate relationship-building.

Exploring the Need and Benefits of Digital Therapeutics (DTx) for the Management of Heart Failure in India

Indian heart failure (HF) registries consistently indicate high hospital readmissions and increased mortality rates after HF diagnosis. The challenges of Indian cardiologists in HF management include limited longitudinal data, frequent readmissions, low medication adherence, inadequate monitoring and follow-up, insufficient patient education, and lack of standard guidelines on cardiac rehabilitation. This article outlines the adoption of digital therapeutics (DTx) in HF management as a potential solution to address these challenges. DTx services offer improved medication adherence, early symptom identification, remote vital monitoring, timely intervention, patient education on symptoms, self-awareness, and lifestyle. Overall, DTx for HF comprises a dedicated team of cardiologists, health coaches, care managers, and globally certified connected devices to provide comprehensive and proactive monitoring, personalized coaching and support, behavioral engagement to improve adherence, emergency response system, delivery of medications and diagnostic tests at home, and a dedicated application for caregivers. DTx has the potential to enhance HF management in India.

[Education interventions in heart failure using m-Health: Systematic review]

OBJECTIVE

To provide the best scientific evidence available on the effectiveness of therapeutic education programs through digital health in patients with heart failure.

DESIGN

Systematic review of randomized clinical trials.

DATA SOURCES

Six databases were included due to their relevance in Health Sciences: PubMed, EMBASE, Scielo, Cochrane, CINAHL, and Web of Science.

SELECTION OF STUDIES

In English and Spanish, studies carried out between 2018 and 2023 were selected. After evaluating the methodological quality of the studies, the Jadad tool was used to discriminate those that did not meet said quality. In total, 8 articles from 6 different countries were included.

DATA EXTRACTION

The review and analysis of the documents were carried out by independent pairs. The Cochrane tool for RoB 2 randomized clinical trials was used to assess the risk of bias.

RESULTS

All the applications had therapeutic education, it was also assessed that they had monitoring, evaluation of signs and symptoms, drug titration, and professional follow-up through the application.

CONCLUSION

This review reveals the significant impact of therapeutic education in increasing patient knowledge, reducing hospital readmissions, and improving functional status and self-care. This makes digital health a valuable tool to complement nursing care in patients with heart failure.

Sex-stratified patterns of emergency cardiovascular admissions prior and during the COVID-19 pandemic

The COVID-19 pandemic has had a significant impact on global public health, with long-term consequences that are still largely unknown. This study aimed to assess the data regarding acute cardiovascular hospital admissions in five European centers before and during the pandemic. A multicenter, multinational observational registry was created, comparing admissions to the emergency departments during a 3-months period in 2020 (during the pandemic) with the corresponding period in 2019 (pre-pandemic). Data on patient demographics, COVID-19 test results, primary diagnosis, comorbidities, heart failure profile, medication use, and laboratory results were collected. A total of 8778 patients were included in the analysis, with 4447 patients in 2019 and 4331 patients in 2020. The results showed significant differences in the distribution of cardiovascular diseases between the two years. The frequency of pulmonary embolism (PE) increased in 2020 compared to 2019, while acute heart failure (AHF) and other cardiovascular diseases decreased. The odds of PE incidence among hospitalized patients in 2020 were 1.316-fold greater than in 2019. The incidence of AHF was 50.83% less likely to be observed in 2020, and the odds for other cardiovascular diseases increased by 17.42% between the 2 years. Regarding acute coronary syndrome (ACS), the distribution of its types differed between 2019 and 2020, with an increase in the odds of ST-segment elevation myocardial infarction (STEMI) in 2020. Stratification based on sex revealed further insights. Among men, the incidence of AHF decreased in 2020, while other cardiovascular diseases increased. In women, only the incidence of STEMI showed a significant increase. When analyzing the influence of SARS-CoV-2 infection, COVID-positive patients had a higher incidence of PE compared to COVID-negative patients. COVID-positive patients with ACS also exhibited symptoms of heart failure more frequently than COVID-negative patients. These findings provide valuable information on the impact of the COVID-19 pandemic on acute cardiovascular hospital admissions. The increased incidence of PE and changes in the distribution of other cardiovascular diseases highlight the importance of monitoring and managing cardiovascular health during and post pandemic period. The differences observed between sexes emphasize the need for further research to understand potential sex-specific effects of COVID-19 on cardiovascular outcomes.

Use and benefit of information, communication, and assistive technology among community-dwelling older adults - a cross-sectional study

BACKGROUND

Technology can support healthy aging and empower older adults to live independently. However, technology adoption by older adults, particularly assistive technology (AT), is limited and little is known about the types of AT used among older adults. This study explored the use of key information and communication technologies (ICT) and AT among community-dwelling adults aged ≥ 65.

METHODS

A cross-sectional study was conducted among community-dwelling adults aged ≥ 65 in southern Germany using a paper-based questionnaire. The questionnaire included questions on the three domains sociodemographic aspects, health status, and technology use. Technology use was considered separately for key ICT (smartphone, computer/laptop, and tablet) and a range of 31 different AT. Data were analyzed using descriptive statistics, univariate analyses, and Bernoulli Naïve Bayes modelling.

RESULTS

The questionnaire was answered by 616 participants (response rate: 24.64%). ICT were used by 497 (80.68%) participants and were associated with lower age, higher level of education, living together with someone, availability of internet connection, higher interest in technology, and better health status (p < .05). No association was found with sex and size of the hometown. The most frequently owned AT were a landline phone, a body scale, and a blood pressure monitor. Several AT related to functionality, (instrumental) activities of daily living- (IADL), and morbidity were used more frequently among non-ICT users compared to ICT-users: senior mobile phone (19.33% vs. 3.22%), in-house emergency call (13.45% vs. 1.01%), hearing aid (26.89% vs. 16.7%), personal lift (7.56% vs. 1.61%), electronic stand-up aid (4.2% vs. 0%). Those with higher interest in technology reported higher levels of benefit from technology use.

CONCLUSIONS

Despite the benefits older adults can gain from technology, its use remains low, especially among those with multimorbidity. Particularly newer, more innovative and (I)ADL-related AT appear underutilized. Considering the potential challenges in providing adequate care in the future, it may be crucial to support the use of these specific AT among older and frailer populations. To focus scientific and societal work, AT with a high impact on autonomy ((I)ADL/disease-related) should be distinguished from devices with a low impact on autonomy (household-/ comfort-related).

Feasibility, Acceptability, and Intervention Description of a Mobile Health Intervention in Patients With Heart Failure

Mobile health (mHealth) is used to encourage and support self-management skills in patients with heart failure. The purpose of the study was to describe the feasibility, fidelity, usability, and acceptability of mHealth interventions. This pilot study used a randomized 3-group (enhanced usual care, mHealth, and mHealth plus, which included a nurse practitioner and community health worker) repeated-measure design to determine the feasibility of using a self-management behavior app and a Bluetooth-enabled scale for daily self-monitoring of weights and medications. In the 2 mHealth groups, of the 48 patients, 38 (79%) engaged partially in recording daily weights and medications, and of the 74 patients in the sample, we obtained partial to complete data on 63 (85%) of the patients during follow-up outcome phone calls. Most patients found the intervention to be feasible, usable, and acceptable, and (93%) patients in the mHealth group and 100% of patients in the mHealth plus group agreed or strongly agreed that they learned how to self-manage their heart failure using the app. The intervention was reasonable to implement and provided insight for future intervention improvements.

The effects of a 24-week interactive text message-based mobile health intervention for enhancing self-care behaviours of patients with heart failure: A quasi-experimental study

AIMS

The aim of this study was to identify the effects of a 24-week interactive text message-based mobile health intervention (called) on enhancing the self-care behaviours of patients with heart failure.

BACKGROUND

Whether text message-based mobile health intervention can be used to improve long-term adherence to self-care behaviours among heart failure patients remains unclear.

DESIGN

A quasi-experimental study with a pretest-post-test design and repeated measures.

METHODS

Data from 100 patients (mean age, 58.78 years; 83.0% men) were analysed. The intervention group (n = 50) used the program over 24 weeks, which consisted of weekly goal setting and interactive text messaging, while the control group (n = 50) received usual care. Trained research assistants collected data using self-reported Likert questionnaires. Primary (self-care behaviours) and secondary (health literacy, eHealth literacy, and disease knowledge) outcome variables were measured at baseline and at 1, 3 and 6 months after intervention for follow-up.

RESULTS

The findings showed that the intervention group demonstrated significantly better self-care behaviours than the control group during the 6 months. Notably, the trajectory of self-care behaviours of the patients in the intervention group showed a steep rise between the first- and third-month follow-up, followed by high stability between the third- and sixth-month follow-up. In addition, the intervention group had significantly higher disease knowledge than the control group at the first- and sixth-month follow-up.

CONCLUSIONS

We found that the program, as an interactive text messaging service, may be an optimal strategy for improving long-term adherence to self-care behaviours through motivating and providing social support.

RELEVANCE TO THE NURSING PRACTICE

The WithUs program can help nurses and other healthcare professionals to track patients' health indicators such as symptom severity, diet and physical activity. In addition, nurses can take an important role in evaluating the efficacy of the app in relation to patients' health outcome.

PATIENT OR PUBLIC CONTRIBUTION

Patients have completed a self-reported questionnaire after providing informed consent.

Impact of a Telemedicine Program After a Heart Failure Hospitalization on 12 Months Follow-Up Events

The aim of this study was to describe the safety, effectiveness, and usability of a mobile-app based follow up platform after a heart failure (HF) hospitalization. It was a pilot, prospective implementation study. 55 consecutive patients were included. Over 12 months, a significant increase in the use of renin angiotensin system inhibitors was observed (91% vs 76%, P < 0.04). Medication adherence, assessed by daily patient validation in the app was 96%. No relevant changes were found in biochemical evaluations. The parameters of app usability showed a high value. At 12 months follow-up one patient was hospitalized for HF (1/55 [1,8%]), there was no cardiovascular death, and 5 patients had non-cardiovascular deaths (5/55 [9.1%]). In patients recently discharged from HF hospitalization, the implementation of non-invasive telemedicine follow-up was feasible, safe and an effective strategy to increase the adherence to medical therapy. A high degree of clinical stability and a low rate of events were observed over 1-year.

Use of mobile applications in heart failure self-management: a qualitative study exploring the patient and primary care clinician perspective (Preprint)

Background

Mobile apps have the potential to support patients with heart failure and facilitate disease self-management, but this area of research is recent and rapidly evolving, with inconsistent results for efficacy. So far, most of the published studies evaluated the feasibility of a specific app or assessed the quality of apps available in app stores. Research is needed to explore patients’ and clinicians’ perspectives to guide app development, evaluation, and implementation into models of care.

Objective

This study aims to explore the patient and primary care clinician perspective on the facilitators and barriers to using mobile apps, as well as desired features, to support heart failure self-management.

Methods

This is a qualitative phenomenological study involving face-to-face semistructured interviews. Interviews were conducted in a general practice clinic in Sydney, Australia. Eligible participants were adult patients with heart failure and health care professionals who provided care to these patients at the clinic. Patients did not need to have previous experience using heart failure mobile apps to be eligible for this study. The interviews were audio-recorded, transcribed, and analyzed using inductive thematic data analysis in NVivo 12.

Results

A total of 12 participants were interviewed: 6 patients (mean age 69 [SD 7.9] years) and 6 clinicians. The interviews lasted from 25 to 45 minutes. The main facilitators to the use of apps to support heart failure self-management were communication ability, personalized feedback and education, and automated self-monitoring. Patients mentioned that chat-like features and ability to share audio-visual information can be helpful for getting support outside of clinical appointments. Clinicians considered helpful to send motivational messages to patients and ask them about signs and symptoms of heart failure decompensation. Overall, participants highlighted the importance of personalization, particularly in terms of feedback and educational content. Automated self-monitoring with wireless devices was seen to alleviate the burden of tracking measures such as weight and blood pressure. Other desired features included tools to monitor patient-reported outcomes and support patients’ mental health and well-being. The main barriers identified were the patients’ unwillingness to engage in a new strategy to manage their condition using an app, particularly in the case of low digital literacy. However, clinicians mentioned this barrier could potentially be overcome by introducing the app soon after an exacerbation, when patients might be more willing to improve their self-management and avoid rehospitalization.

Conclusions

The use of mobile apps to support heart failure self-management may be facilitated by features that increase the usefulness and utility of the app, such as communication ability in-between consultations and personalized feedback. Also important is facilitating ease of use by supporting automated self-monitoring through integration with wireless devices. Future research should consider these features in the co-design and testing of heart failure mobile apps with patients and clinicians.